Theses authorised for defence

DOCTORAL DEGREE IN AGRI-FOOD TECHNOLOGY AND BIOTECHNOLOGY

CANO LÓPEZ, ALICIA: Novel strategies to reduce persistent, mobile, and toxic substances in groundwater and wastewater: Impact on agriculture and human health
Author: CANO LÓPEZ, ALICIA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AGRI-FOOD TECHNOLOGY AND BIOTECHNOLOGY
Department: Department of Agri-Food Engineering and Biotechnology (DEAB)
Mode: Normal
Deposit date: 30/09/2025
Reading date: 07/11/2025
Reading time: 11:00
Reading place: Sala d'Actes de l'Edifici Vèrtex de la UPC, Plaça d'Eusebi Güell, 6, BarcelonaI a l'espai virtual meet.google.com/hpm-isah-xxy
Thesis director: MATAMOROS MERCADAL, VÍCTOR | ESCOLÀ CASAS, MÒNICA
Thesis abstract: Water scarcity is one of the most pressing global challenges, particularly in arid and semi-arid regions such as the Mediterranean basin. In countries like Spain, where agriculture is a major consumer of water resources, the reuse of reclaimed water has become essential for ensuring both water and food security. However, treated wastewater effluents and even groundwater can contain organic micropollutants that are partially removed in conventional water treatments. Among these, persistent, mobile, and toxic (PMT) substances are especially concerning due to their resistance to degradation, mobility through water systems, and their toxicity potential in the environment, posing risks to ecosystems, crops, and human health.This PhD thesis explores both the reduction and impact of PMT substances across four experiments. Two focus on treatment technologies, a chemical approach (advanced oxidation process, AOP) and a biological system (nature-based solution, NBS), to eliminate PMT substances from groundwater and wastewater. The other two assess the effects of PMT-contaminated irrigation water on crops, using both hydroponic and soil-based systems. Chapter 3 compares eight oxidation treatments for removing chlorinated solvents from contaminated groundwater, coupled with a human health risk assessment. Chapter 4 investigates four NBS configurations for removing short-chain PFAS and other PMT substances from groundwater and wastewater, focusing on the influence of factors like filter media, grain size, vegetation, and microbial communities. Chapter 5 evaluates PMT uptake and bioaccumulation in lettuce grown in a hydroponic setup, alongside assessments of plant health, metabolomic responses, and implications for food safety. Chapter 7 explores an on-going soil-based irrigation study comparing secondary and pilot-scale quaternary effluents, analysing suspect PMT uptake, and crop quality, complementing the hydroponic findings.Overall, this thesis provides novel insights into PMT substances in water resources and agricultural systems, offering both treatment evaluations and risk-based perspectives that may inform future water reuse strategies and regulatory frameworks.

DOCTORAL DEGREE IN ARCHITECTURAL DESIGN

ALVAREZ BEAUMONT GRAYEB, LORENA DENISSE: Alvar Aalto. Maison Louis Carré. Del concepto a la obra: Procesos compositivos e influencias culturales
Author: ALVAREZ BEAUMONT GRAYEB, LORENA DENISSE
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN ARCHITECTURAL DESIGN
Department: Department of Architectural Design (PA)
Mode: Normal
Deposit date: 14/07/2025
Reading date: 07/11/2025
Reading time: 12:30
Reading place: ETSAB (Escuela Técnica Superior de Arquitectura de Barcelona) - Planta Baja - Aula PFC2 Av. Diagonal, 649-651 - 08028 - Barcelona
Thesis director: SAUQUET LLONCH, ROGER JOAN | LINARES SOLER, ALFREDO
Thesis abstract: Alvar Aalto was one of the most important architects of the 20th century and a key figure in the history of design. He was part of the so-called Modern Movement and is considered one of the great masters of architecture from that period. Although much of his work has been extensively studied, the Maison Louis Carré has received less attention due to its private nature until 2007. Built between 1957 and 1959 in Bazoches-sur-Guyonne (Yvelines), near Paris, the house was designed for Louis Carré, a renowned French art dealer and collector of modern art. Given the limited availability of both specific and general published sources on the subject, this study aims to contribute new insights into the Maison Louis Carré and Alvar Aalto's architecture.The information presented in this research has been 'constructed' primarily through the collection of period documents, site visits, and interviews with individuals connected to the building. Its objective is to analyze the underlying process behind the design and construction of the house by identifying the architectural strategies employed by Aalto.The study first offers an overview of the historical, social, artistic, and architectural context of Aalto’s time, as well as earlier influences. It also examines the impact of various architectural traditions—particularly from Finland, Greece, Italy, and Japan—whose presence is evident in specific formal and conceptual elements of the house, suggesting potential sources of inspiration from these cultures.The second part of the study focuses on the influence of the client-architect relationship, which played a crucial role in shaping the architectural program and design decisions. It also considers the significant involvement of the Aaltos and Louis Carré in the realization of the building, a project of high logistical complexity that would have been unfeasible without the sustained commitment of all three parties. Similarly, the analysis explores the Finnish and Nordic elements integrated by Aalto into the design, thoughtfully adapted to the client’s lifestyle, as well as to French culture and landscape—resulting in a coherent synthesis between both cultural contexts.The final section presents a more technical analysis of the design process developed by the architect—from the initial site visit to the completion of the work—covering aspects such as design strategies, environmental considerations, functionality, materiality, and structural systems, with the goal of offering a comprehensive view of the making of the Maison Louis Carré.This building occupies a special place in Alvar Aalto’s body of work, not only because it is set in a new context like France, but also because—beyond its aesthetics and timeless quality—it belongs to a period when the architect had already reached a high level of professional maturity. This is evident in his design approach and in how he engages with the landscape, incorporating a range of innovative construction techniques. These techniques manage to reflect the culture and interpretations of their time while endowing the work with a distinct language that remains evocative, dynamic, and of exceptional quality and originality even today.But what can we learn from Alvar Aalto today? In what ways could contemporary architecture achieve the level of quality and originality so clearly embodied in the timeless beauty of this house? Addressing these questions and demonstrating how the conceptual, compositional, and aesthetic values embedded in the Maison Louis Carré could still enrich contemporary architectural practice—when reinterpreted in light of current technological and productive capacities—is what drives the development of this research.

DOCTORAL DEGREE IN ARCHITECTURAL, BUILDING CONSTRUCTION AND URBANISM TECHNOLOGY

BILBAO VILLA, AINARA: Palabras de luz: Herramientas lÃ©xicas y grÃ¡ficas para la definiciÃ³n de los principales tÃ©rminos empleados en la descripciÃ³n de la distribuciÃ³n lumÃnica en el espacio arquitectÃ³nico.
Author: BILBAO VILLA, AINARA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN ARCHITECTURAL, BUILDING CONSTRUCTION AND URBANISM TECHNOLOGY
Department: Department of Architectural Technology (TA)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 31/10/2025
Reading time: 11:30
Reading place: ETSAB (Escuela Técnica Superior de Arquitectura de Barcelona) - Planta Baja - Aula Beta Av. Diagonal, 649-651 - 08028 - Barcelona
Thesis director: MUROS ALCOJOR, ADRIAN
Thesis abstract: The introduction of electric lighting in Architecture marked a profound transformation in its design conception, establishing artificial light as a fundamental element in the configuration of space. Unlike other artistic and architectural disciplines, artificial architectural lighting lacks a formalised Art History. Existing specialist literature remains largely focused on technical and quantitative aspects, frequently relegating the qualitative dimensions of light in space to a secondary status. Consequently, there is a notable absence of a specific vocabulary capable of accurately describing the qualitative effects of lighting in architecture. This lexical gap hampers the effective communication of lighting-related spatial concepts, ultimately to the detriment of architectural practice. In light of these challenges, and with the aim of improving both design and pedagogical methodologies, this research advocates for the establishment of a dedicated vocabulary for qualitative architectural lighting. It is predicated on the hypothesis that it is feasible to construct a consensual glossary that enables the precise articulation of the formal and spatial attributes of lighting effects within architectural environments. To substantiate this hypothesis, the research sets out two principal objectives: first, to identify the parameters that define the qualitative aspects of lighting and to compile the associated terminological corpus; second, to develop a lexical and visual dictionary in which each term is clearly defined and illustrated, thereby facilitating its comprehension and application in both academic and professional contexts, and contributing to the standardisation of a specific and practical language.The study adopts a qualitative methodological framework, centred on the linguistic analysis of texts describing architectural lighting projects, which have been published in specialised Spanish-language media. A rigorous, systematic, and replicable terminology methodology has been employed, drawing upon established principles from the field of Terminology studies and related research on lighting perception. The process integrates automated term extraction methods, enabling efficient handling of large data sets, and applies linguistic techniques adapted to the visual domain. The research identifies the principal parameters defining the formal qualities of architectural lighting as direction, colour, and distribution, followed by quantity, luminance, sources, informational content, perceptual effects, and others. Among these, the distribution parameter emerges as the most frequently cited and, thus, the most critical for both configuring and describing architectural lighting. Accordingly, the dictionary focuses on the most recurrent terms related to distribution, listed alphabetically as follows: accent lighting, ambient lighting, composed lighting, diffuse lighting, direct lighting, directed lighting, dispersed lighting, focalized lighting, general lighting, grazing lighting, homogeneous lighting, horizontal lighting, indirect lighting, integrated lighting, precise lighting, projected lighting, reflected lighting, uniform lighting, and vertical lighting. It has been demonstrated that each of these terms can be defined in a manner that supports clear, precise, and intelligible communication within architectural lighting discourse. Furthermore, it is feasible to identify corresponding visual representations that exemplify each definition, reinforcing their pedagogical and practical applicability. In conclusion, this research affirms the viability of developing a consensual glossary of terms to imporve the communication of the formal and spatial characteristics of lighting effects within architectural practice, which constitutes a foundational step toward the recognition and standardisation of qualitative lighting vocabulary in the discipline.
GONZÁLEZ ESPINOSA, VANESSA: Diseño de materiales cementícios reforzados con fibras vegetales impregnadas con materiales de cambio de fase para mejorar el comportamiento térmico de las cubiertas de los edificios.
Author: GONZÁLEZ ESPINOSA, VANESSA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN ARCHITECTURAL, BUILDING CONSTRUCTION AND URBANISM TECHNOLOGY
Department: Department of Architectural Technology (TA)
Mode: Normal
Deposit date: 31/07/2025
Reading date: 28/11/2025
Reading time: 11:00
Reading place: ETSAB (Escuela Técnica Superior de Arquitectura de Barcelona) - Planta Baja - Sala de GradosAv. Diagonal, 649-651 - 08028 - Barcelona
Thesis director: CLARAMUNT BLANES, JOSE | LACASTA PALACIO, ANA MARIA
Thesis abstract: In the current context, sustainable construction prioritises innovative materials that combine energy efficiency, mechanical strength and safety against extreme conditions, such as fire, in order to address the challenges of climate change and human needs. Fibre-reinforced cementitious composites and phase change materials (PCM) are emerging as a promising solution, particularly in raised roof pavements, where thermal regulation is essential. The main objective of this thesis is to develop a cement board reinforced with non-woven vegetable fibres and PCM for raised roof pavements, determining the optimal dosage of cement, fibres and PCM that maximises mechanical resistance and thermal regulation capacity, as well as analysing its response to fire. The research seeks to advance the integration of PCM and plant fibres into cementitious matrices, proposing improvements for their practical application in construction with an environmental focus.The methodology, which is highly experimental in nature, was structured in several stages. First, the state of the art on cementitious composites and PCM was reviewed, identifying trends and challenges. Subsequently, an experimental campaign was designed that included: selection of materials (commercial cements, non-woven fibres and pure and microencapsulated PCMs), formulation of mixtures with different proportions of fibres and PCMs compared to a control without PCMs, evaluation of mechanical properties (flexural strength), thermal properties (conductivity, thermal storage and retardation) and fire behaviour through standardised tests, and statistical analysis to determine the impact of each component.The results show that the incorporation of PCM RT28 through direct impregnation into non-woven fibres in cementitious composites improves thermal properties, achieving a delay in temperature changes comparable to that of microencapsulated PCM mixed into the cementitious matrix. However, the composite made with PCM RT28 has superior mechanical strength, with a modulus of rupture (MOR) approximately three times greater than that of the microencapsulated composite, although both show a decrease in strength compared to samples without PCM. The non-woven fibres, by effectively impregnating the PCM, reinforce the cohesion of the composite and preserve hardening by deformation, partially mitigating the loss of mechanical strength.Although both the vegetal fibres and the PCM used are organic in nature and therefore combustible, the cementitious composites exhibited good fire performance, with low-intensity flames and a high self-extinguishing capacity once the heat source was removed. Overall, the samples with PCM incorporated through fibre impregnation showed better fire behaviour than those formulated with microencapsulated PCM: although ignition occurred slightly earlier, the total heat released (THR), as measured in the cone calorimeter tests, was substantially lower.This combination, which has been little explored, balances thermal efficiency and structural functionality, with direct applications in sustainable buildings. The research provides a detailed analysis of the interaction between plant fibres, PCM and the cement matrix, proposing optimal dosages and strategies to mitigate fire-related risks. The results lay the foundations for future research and practical applications, promoting the development of more efficient and sustainable building materials.

DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE

BAGHERZADE GHAZVINI, MINA: A Data-driven Intelligent Decision Support Framework for Process Operation Management. An Application to Gas Turbine Process.
Author: BAGHERZADE GHAZVINI, MINA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN ARTIFICIAL INTELLIGENCE
Department: Department of Computer Science (CS)
Mode: Normal
Deposit date: 25/07/2025
Reading date: 04/11/2025
Reading time: 12:00
Reading place: Sala de Juntes de la FIB, edifici B6, Campus Barcelona Diagonal Nord
Thesis director: SANCHEZ MARRE, MIQUEL | ANGULO BAHON, CECILIO
Thesis abstract: This thesis presents a data-driven framework for enhancing the management and maintenance of industrial processes, exemplified through a case study involving gas turbines. The research focuses on several key areas: preprocessing operational data, identifying operational modes, analysing transitions between these modes, and detecting patterns for predictive maintenance. The research proposal begins with detailed data preprocessing to ensure the quality and usability of data. It then introduces methods for automatically recognising distinct operational modes using an ensemble of clustering techniques The research also explores the modelling of transitions between these operational states, capturing the dynamic nature of industrial processes. Furthermore, the Cluster-based Matrix Profile method is proposed to detect significant operational patterns that indicate potential issues or efficiencies, essential for developing predictive maintenance strategies. Overall, the framework developed in this thesis offers a systematic approach to improve decisionmaking, reliability, and efficiency in managing industrial processes. Although initially applied to gas turbines, this framework holds the potential for broader applications across various industrial systems.

DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION

DALMASSO BLANCH, MARC: Cooperative Planning and Negotiation in Human-Robot Teams
Author: DALMASSO BLANCH, MARC
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION
Department: Institute of Robotics and Industrial Informatics (IRI)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 10/11/2025
Reading time: 11:00
Reading place: Sala d'Actes de la Facultat de Matemàtiques i Estadística (FME), Campus Diagonal Sud, Edifici U. C. Pau Gargallo, 14, 08028 Barcelona
Thesis director: SANFELIU CORTES, ALBERTO
Thesis abstract: As robots become increasingly integrated into everyday environments, rigid role paradigms and unilateral control models fall short of enabling meaningful collaboration. Preserving human autonomy while allowing robots to contribute proactively in shared decision-making tasks introduces the need for alignment and negotiation between agents. Negotiation arises not merely as a design preference but as a requirement when autonomous entities with partial knowledge, differing capabilities, or misaligned goals must act jointly in real-world settings.This thesis investigates the challenge of integrating robots into human teams in unstructured environments, with a particular focus on Human-Robot Collaborative Navigation (HRCN). It seeks to empower them as active decision-making agents who flexibly and critically adapt to human preferences and needs. This technological development is framed as a social necessity: without it, robots would remain confined to controlled environments, or people would lose agency by having to adapt to rigid robot behaviour.The core contributions of the thesis are threefold. First, it introduces the Social Reward Sources (SRS) model, a shared spatial and task representation for Human-Robot Teams (HRT). Second, it presents a multi-agent planning system leveraging the SRS model to generate collaborative plans for heterogeneous teams. Third, it proposes a negotiation framework for Human-Robot Plan Negotiation (HRPN), incorporating a novel plan characterisation model, the cooperativeness space. These and additional secondary contributions are validated through real-world experiments within the collaborative object search benchmark.Altogether, the thesis offers a pathway for deploying robots as collaborative agents capable of negotiation, thereby supporting agency-preserving human-robot interaction in open-world contexts.
DELGADO GUERRERO, JUAN ANTONIO: Learning latent structures for robotic assistance in daily manipulation tasks
Author: DELGADO GUERRERO, JUAN ANTONIO
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION
Department: Institute of Robotics and Industrial Informatics (IRI)
Mode: Normal
Deposit date: 02/09/2025
Reading date: 27/11/2025
Reading time: 11:00
Reading place: Sala de Juntes de la Facultat de Matemàtiques i Estadística (FME), Campus Diagonal Sud, Edifici U. C. Pau Gargallo, 14, 08028 Barcelona
Thesis director: TORRAS GENIS, CARMEN | COLOMÉ FIGUERAS, ADRIÀ
Thesis abstract: Robotic domestic assistance presents significant challenges due to the complexity of modeling everyday manipulation tasks, especially those involving deformable objects like cloth. Traditional approaches often struggle with high-dimensional state representations, dynamic uncertainties, and the need for safe human-robot interaction. This thesis addresses these challenges by developing novel machine learning methods based on latent variable models to enable efficient, adaptive, and safe robotic manipulation.First, we propose a Gaussian Process Latent Variable Model (GPLVM) framework combined with Bayesian Optimization (BO) to learn high-dimensional robot motion policies with minimal data. This approach reduces the parameter space dimensionality while preserving task-relevant features, achieving faster convergence than other existing model-free alternatives.Next, we extend this framework to contextual learning using Covariate GPLVM (c-GPLVM), allowing robots to adapt to environmental changes (e.g., user preferences, object positions) without retraining. Experiments in feeding and shoe-fitting tasks demonstrate improved generalization with fewer samples compared to state-of-the-art contextual policy search methods.For dynamic cloth manipulation, we introduce the Controlled Gaussian Process Dynamical Model (CGPDM), which embeds control actions into a low-dimensional latent space to predict cloth motion under robot manipulation. Evaluations in simulated and real-world bimanual cloth handling show that CGPDM accurately generalizes to unseen actions, even with limited training data.Finally, we address safety in human-robot interaction by proposing Cartesian control enhancements for redundant manipulators, including error saturation, singularity avoidance, and impedance tuning. These measures mitigate risks during physical interaction, ensuring stable and compliant robot behavior.Together, these contributions advance robotic cloth manipulation by combining data-efficient learning, context-aware adaptation, and safe control, paving the way for practical deployment in assistive and household robotics.
GARCIA CAMACHO, IRENE: Benchmarking cloth manipulation
Author: GARCIA CAMACHO, IRENE
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION
Department: Institute of Robotics and Industrial Informatics (IRI)
Mode: Normal
Deposit date: 25/09/2025
Reading date: 24/11/2025
Reading time: 11:00
Reading place: Aula Capella, Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB), Edifici PI (Pavelló I). Av. Diagonal, 647, Barcelona
Thesis director: ALENYÀ RIBAS, GUILLEM | BORRÀS SOL, JÚLIA
Thesis abstract: Benchmarking is a crucial tool in research for fostering progress in a field. It consists on standardized frameworks for evaluation, quantifying the performance of an approach in comparison to previous works to determine the improvements and progress made. Robotic cloth manipulation presents many challenges due to the high deformable nature of textile objects. It is an interdisciplinary field that integrates many components such as control, perception and hardware, among others, to solve cloth manipulation problems with a wide variety of robotic platforms, end-effectors, objects and strategies. This variability makes difficult to design general evaluation procedures that can be adopted by the vast researchers in the field. This thesis addresses the need for standardized benchmarks in cloth manipulation, providing solutions for the key aspects of which a benchmark is composed: setup description, task description and evaluation procedures. The thesis starts with the design of benchmarks for relevant cloth manipulation tasks, proposing clear procedures and metrics to assess the performance quality. Setup standardization is improved with the introduction and distribution of a standardized cloth object set with textile household objects, given that object directly impact on the manipulations required and results obtained. Additionally, we propose a framework to characterize textile objects through its physical and mechanical properties, so we can deal with object's wear and usage over time, maintaining the standardization and extending it to textile objects of other categories. Subsequently, we proposed a scene state definition of cloth manipulation based on its configuration, grasp type and grasp location to represent cloth manipulation tasks and build more informed evaluation metrics. Later delving into state estimation for decision-making and benchmarking. The thesis culminates with the organization of a cloth manipulation and perception competition, done for joining research groups in comparing their systems with equal test conditions and raise awareness of the importance of designing and adopting standardized evaluation processes to foster in the field.In summary, this thesis touches on benchmarking, standardization, task representation, and decision-making in the context of cloth manipulation.
IZQUIERDO BADIOLA, SILVIA: Hybrid Systems for Human-Centered Robotics: Combining Symbolic and Generative AI for Flexible and Adaptive Plan Generation and Execution
Author: IZQUIERDO BADIOLA, SILVIA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION
Department: Institute of Robotics and Industrial Informatics (IRI)
Mode: Normal
Deposit date: 29/09/2025
Reading date: 18/11/2025
Reading time: 10:00
Reading place: Sala d'Actes de la Facultat de Matemàtiques i Estadística (FME), C/ Pau Gargallo, 14, 08028 Barcelona
Thesis director: ALENYÀ RIBAS, GUILLEM | RIZZO, CARLOS ERNESTO
Thesis abstract: Robots are rapidly leaving structured factory floors and entering human-rich environments such as homes, hospitals, and shared workplaces. A human-centric approach to developing robot behavior is essential for effective collaboration and acceptance of robots in such dynamic settings. This entails enabling robots to generate plans that continuously adapt to the evolving environment and human states, proactively preventing failures, while allowing those plans and models to be specified in a flexible, human-intuitive manner. This thesis contributes toward this goal through an approach driven by two complementary strategies: (i) foundational, structured planning and agent-modeling techniques, and (ii) their extension with Large Language Model (LLM) capabilities, resulting in hybrid systems capable of more general and adaptive behavior.We develop four main contributions, each targeting a specific challenge. First, to address the lack of effective integration of human states in Human-Robot Collaboration (HRC) planning, often resulting in failures, we propose a framework that incorporates an agent model into task planning via action cost modulation, targeting proactive failure prevention. Second, to tackle the challenge of estimating agent-specific action costs in data-scarce HRC scenarios, we introduce a simulation-based learning framework. Third, to overcome the rigidity and modeling effort of current systems, we develop a planning framework that translates natural language human goals and agent conditions into structured planning problems, enabling more flexible and intuitive plan generation. Fourth, recognizing that plan execution may encounter issues not foreseeable at planning time, we present an agent for context-aware issue detection, explanation, and recovery, leveraging a regulated interaction between an LLM and grounded perception and interaction tools. Collectively, these contributions, supported by published results, address three core objectives: (O1) integrating task planning with agent modeling to produce human-adaptive plans; (O2) devising flexible techniques for defining planning, action, and agent models; and (O3) implementing failure-prevention mechanisms for dynamic, human-centric environments.This thesis embraces the shift from rigid, task-specific systems toward adaptive, generalizable robotics by combining structured symbolic methods with generative AI. Key challenges for this transition are identified, and targeted solutions are proposed to inform and guide future advancements in human-centered robotics. Through hybrid approaches, this research advances flexible, natural plan generation that adapts to human preferences and states while proactively preventing failures during execution, laying the groundwork for a future unified system capable of real-world, human-aware adaptability.
PUERTO SANTANA, CRISTIAN: Design, implementation, and evaluation of novel fault detection methodologies for time varying industrial mechanical systems
Author: PUERTO SANTANA, CRISTIAN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION
Department: Department of Automatic Control (ESAII)
Mode: Normal
Deposit date: 25/09/2025
Reading date: 28/11/2025
Reading time: 11:00
Reading place: Aula 28.8, Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB), Avinguda Diagonal, 647, 08028 Barcelona
Thesis director: OCAMPO MARTINEZ, CARLOS AUGUSTO | DÍAZ ROZO, JAVIER
Thesis abstract: This dissertation addresses the necesity of scalable and robust fault detection methods in industrial mechanical systems operating under complex, noisy, and variable conditions. These systems—comprising components such as rotors, gears, and structural frameworks—play a vital role in industrial operations, and their failures can lead to substantial performance degradation, safety risks, and increased maintenance costs. Motivated by these challenges, the research proposes data-driven methodologies designed to improve the accuracy, reliability, and scalability of condition monitoring in these environments. Unlike traditional model-based methods that rely heavily on system-specific knowledge and simulation, the approaches developed in this work emphasize adaptability, minimal calibration, and real-world applicability. The thesis begins with a detailed examination of industrial mechanical systems and a critical review of existing fault detection methods, particularly those targeting mechanical unbalance, gear defects, and structural resonance. This foundation highlights the limitations of current technologies and sets the stage for the development of six original contributions.A central innovation in this research is a method for automatically identifying transient and stationary regimes in multivariate systems using statistical tools, signal processing, and geomery of spatial curves. This regime classification is essential for segmenting data accurately and applying appropriate fatult detection strategies. Building on this framework, the thesis introduces two novel condition indicators: one for detecting mechanical unbalance using non-intrusive signal processing techniques, and another for identifying gear faults under fluctuating speed conditions via Gaussian mixture models and the Cauchy-Schwarz divergence. Both indicators are designed to function reliably in noisy environments and are validated on experimental platforms that replicate real industrial conditions. Another major contribution extends monitoring capabilities to both rotordynamic elements and structural components within a single system, demonstrated through a power generation setup. This cross-monitoring approach integrates data-driven modeling to detect anomalies that may result from mechanical faults or structural instabilities, offering a more comprehensive diagnostic tool.In addition to enhancing fault detection in rotating machinery, the dissertation explores advanced techniques in structural health monitoring. Using long-term bridge data, the research applies the Hankel alternative view of Koopman analysis to extract meaningful features and assess parameter sensitivity. This is complemented by a new feature extraction strategy that leverages regime classification to enhance resilience to noise and reduce computational costs. The final contribution is a probabilistic modeling framework based on Copula functions, which allows for flexible, noise-tolerant modeling of feature distributions while incorporating prior knowledge. Collectively, these methodologies form a unified framework capable of operating under real-world industrial constraints. The research not only demonstrates high performance across varied fault types and systems but also advances the field by offering tools that can adapt to multivariate, dynamic, and uncertain conditions without requiring extensive system modeling or manual settings.
VERMA, PARIKSHIT: Control strategies for the traffic management of AGV-based transportation systems
Author: VERMA, PARIKSHIT
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN AUTOMATIC CONTROL, ROBOTICS AND VISION
Department: Institute of Industrial and Control Engineering (IOC)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 13/11/2025
Reading time: 17:00
Reading place: Seminari de l'IOC, Planta 11, Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB), Av. Diagonal 647, 08028, Barcelona
Thesis director: OLM MIRAS, JOSEP MARIA | SUAREZ FEIJOO, RAUL
Thesis abstract: Current research in fleet control of Automatic Guided Vehicles (AGVs) focuses on enhancing their efficiency and integration within industrial environments like manufacturing plants and warehouses. The AGVs are primarily used for material transportation and, when effectively integrated into factory workflows, offer significant advantages in terms of flexibility and scalability. This integration enables factories to dynamically distribute the work to processing stations and expand the system by adding new AGVs or workstations with minimal disruption. A major challenge lies in managing diverse AGV under a unified control system to maintain smooth operations as transportation demands vary. One core aspect of managing AGV fleets is traffic control in shared environments. Typically, these indoor spaces are pre-mapped, and all the AGVs share access to this map, which includes road networks and Points of Interest (POIs) like pick-up/drop-off zones, charging stations, and parking areas. Since these POIs can only be occupied by one AGV at a time, traffic management systems must address which AGV occupies which point, identify potential conflicts, schedule AGV movement out of parking zones, and decide which AGVs get priority at shared points. Another vital component is task allocation, i.e. determining which AGV should perform a specific task and when. This decision depends on multiple factors, including the AGV’s current location, battery status, load capacity, traffic conditions, and the urgency of the task. Efficient task allocation and traffic control are deeply interconnected; managing one often involves considerations of the other. For instance, by deciding the optimal timing of task execution, the system can reduce conflicts and enhance overall performance. While existing fleet management approaches address many of these issues, there remains considerable room for improving coordination, adaptability, and optimization in AGV-based transportation systems.This thesis explores various features of a multi-AGV-based transportation system, providing a comprehensive overview of its operational aspects. However, the primary contributions of this work are centered on three key areas. Firstly, it presents an efficient traffic management strategy designed to enhance the flow of AGVs within a Flexible Manufacturing System (FMS). This approach is evaluated through a comparative analysis with current state-of-the-art methods, demonstrating its effectiveness in optimizing traffic flow and minimizing delays.Secondly, the thesis delves into the practical application of the proposed traffic management strategy in real-world industrial settings. It assesses the spatial discretization of the AGV workspace and control periods in the implementation of the traffic management strategy in industrial environments, providing valuable insights crucial for bridging the gap between theoretical models and their practical deployment, hence ensuring effective integration into existing industrial processes.Lastly, the research investigates the impact of different task assignment criteria on the overall efficiency of the AGV system. By examining various strategies for allocating tasks to AGVs, the thesis identifies key factors that influence the performance of both traffic management and the entire transportation system. This analysis aims to refine task assignment methods to further improve the operational efficiency of AGV fleets, ultimately contributing to more streamlined and productive industrial workflows.

DOCTORAL DEGREE IN BIOMEDICAL ENGINEERING

JAMES, CHRISTOPHER WILLIAM VINCENT: Biomaterials for Cardiac Regeneration
Author: JAMES, CHRISTOPHER WILLIAM VINCENT
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN BIOMEDICAL ENGINEERING
Department: Department of Materials Science and Engineering (CEM)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 26/11/2025
Reading time: 16:00
Reading place: Sala d'Actes, Edifici Vèrtex, Campus Diagonal Nord, Vèrtex (VX), Plaça d'Eusebi Güell, 6, 08034 Barcelona
Thesis director: ENGEL LOPEZ, ELISABET
Thesis abstract: Cardiovascular diseases are the leading cause of death globally, with heart transplantation being the most effective treatment following injury due to the heart’s limited regenerative capacity. In situ tissue engineering has emerged as a promising approach to activate endogenous cardiac repair. This thesis focuses on the design, development, and characterization of injectable biomaterials for in situ cardiac regeneration.Hydrogel scaffolds that physically support damaged tissue, provide inherent bioactivity, or deliver bioactive agents are particularly promising. We first isolated and characterized porcine cardiac extracellular matrix (cECM) hydrogels, demonstrating their compatibility for supporting the growth of cardiac-associated cells. To enhance the viscoelastic properties of cECM without compromising biocompatibility, alginate—a hydrogel currently in clinical trials—was incorporated, resulting in improved mechanical properties.Lactate, traditionally seen as a metabolic by-product, has gained attention for its role in promoting angiogenesis, cardiomyocyte proliferation, and reducing fibrosis. Based on this evidence, we developed a lactate-release scaffold by embedding FDA-approved PLGA nanoparticles into the cECM-alginate matrix, optimizing nanoparticle size and degradation to achieve sustained lactate release.The regenerative potential of stem cell-derived secretomes, comprising bioactive molecules such as growth factors and extracellular vesicles, was also explored. Bone marrow-derived stromal cell (BMSC) secretomes were evaluated for their cardioprotective effects on human cardiac fibroblasts. A novel culture method showed superior outcomes, and the resulting secretome was incorporated into the scaffold either directly or via PLGA nanoparticles for sustained delivery.In conclusion, this work presents several novel injectable biomaterials that show potential for in situ cardiac regeneration through enhanced mechanical support, bioactivity, and sustained delivery of regenerative agents such as lactate and BMSC-derived secretomes. These findings warrant further investigation to optimize the therapeutic efficacy of these platforms.
LÓPEZ GÓMEZ, PATRICIA VICTORIA: Multifunctional hydrogels for advanced regenerative therapies
Author: LÓPEZ GÓMEZ, PATRICIA VICTORIA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN BIOMEDICAL ENGINEERING
Department: Department of Materials Science and Engineering (CEM)
Mode: Normal
Deposit date: 19/09/2025
Reading date: 11/12/2025
Reading time: 10:30
Reading place: Aula A1.13, Edifici A, Escola d'Enginyeria de Barcelona Est (EEBE), Av. d'Eduard Maristany, 16, 08019 Barcelona
Thesis director: MAS MORUNO, CARLOS | MEHWISH, NABILA
Thesis abstract: Implant-associated infections remain one of the most critical challenges in the biomedical field. Despite advances in aseptic surgical techniques and antibiotic therapies, the persistence of bacterial colonization on implant surfaces -often involving biofilm formation- continues to compromise clinical outcomes. Conventional treatment strategies, including the systemic administration of antibiotics, local drug delivery systems, and surgical debridement, often fail to effectively eradicate biofilms, particularly those formed by pathogens such as Staphylococcus aureus and Pseudomonas aeruginosa. Concurrently, the field of tissue engineering demands implantable materials that not only support tissue regeneration but also provide active defense against infection. However, most currently available materials fall short of achieving this dual function. In contaminated or high-risk environments, this shortcoming becomes especially critical. To address these limitations, there has been a growing focus on developing next-generation biomaterials that are no longer passive scaffolds but bioactive and dynamic systems capable of interacting with the biological milieu in real time. In this context, biofunctionalization has emerged as a powerful strategy to enhance both regenerative and antimicrobial properties of biomaterials. Among the different bioactive tools available, peptides have shown considerable promise due to their tunable chemistry, modular architecture, and high specificity. This thesis focuses on two peptide motifs with complementary bioactivities: RGD, which promotes cell adhesion, and hLf1-11, a broad-spectrum antimicrobial peptide derived from human lactoferrin. Together, these peptides represent a rational platform for engineering multifunctional materials that address the dual challenge of infection control and tissue integration. Specifically, the present work investigates the integration of RGD and hLf1-11 peptides into three hydrogel-based material systems, each representing a distinct level of biofunctionality and design complexity: • Chapter I examines the modification of alginate, a naturally derived but bioinert polymer, with RGD-hLf1-11 to evaluate stem cell behavior and antimicrobial activity. • Chapter II explores a fully synthetic PEG-based hydrogel system functionalised with these peptides and incorporating a protease-sensitive crosslinker to enable bioactivity and controlled degradation. • Chapter III focuses on self-assembling peptide hydrogels, where both structural assembly and biological function are encoded at the molecular level, enabling the formation of intrinsically bioactive materials without further modification. Collectively, these platforms offer a comparative and progressive approach toward the design of multifunctional hydrogels. This work not only demonstrates the feasibility of dual viii biofunctionalization but also highlights the critical roles of molecular architecture, crosslinking strategy, and material origin in shaping biological responses. Ultimately, this thesis contributes to the development of smart biomaterials that are both cell-instructive and antibacterial, aligning with the growing clinical need for adaptable, multifunctional solutions in regenerative medicine and infection-prone environments.

DOCTORAL DEGREE IN CHEMICAL PROCESS ENGINEERING

RODRÍGUEZ ALEGRE, RUBÉN: Wastewater treatments in real case studies: separation & purification in the framework of the circular economy
Author: RODRÍGUEZ ALEGRE, RUBÉN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CHEMICAL PROCESS ENGINEERING
Department: Department of Chemical Engineering (EQ)
Mode: Article-based thesis
Deposit date: 02/10/2025
Reading date: 03/12/2025
Reading time: 11:00
Reading place: Sala Polivalent I - Edifici IEEBE - Campus Diagonal Besòs https://eebe.upc.edu/ca/lescola/com-arribar
Thesis director: PEREZ MOYA, MONTSERRAT | GARCIA MONTAÑO, JULIA | YOU CHEN, XIALEI
Thesis abstract: This thesis explores innovative strategies for resource recovery and water reuse from wastewater streams in three key sectors (agrifood, industrial, and urban) by integrating membrane technologies and chemical precipitation. While membrane and chemical treatments have been widely studied independently, this work is among the first to demonstrate their combined and sector-specific application in real or pilot-scale scenarios, framed within circular economy principles.In the agrifood sector, pig slurry liquid fraction was used as a representative effluent. This thesis is the first to evaluate both acidification and basification strategies for nutrient recovery from SLF using a membrane-based treatment train. Acidification, combined with microfiltration and forward osmosis, enabled >80% recovery of NPK nutrients. In contrast, basification allowed for selective nitrogen recovery using precipitation and membrane-assisted stripping. From these strategies, the basic treatment was validated under real on-farm conditions over two years, demonstrating its seasonal robustness and nitrogen recoveries between 46–56%. Water recovery for reuse in irrigation ranged from 39–75%, confirming the viability of decentralised systems in rural settings and marking a significant advance beyond laboratory-scale approaches.For the industrial sector, this thesis presents a novel circular treatment train for acid mine drainage, integrating reverse osmosis with bipolar membrane electrodialysis and chemical precipitation, a combination not previously applied to this matrix. This enabled the selective recovery of high-value metals (Al, Zn, Cu, Mn, Mg, Ca) with >60% efficiency, along with 97% water recovery and in-situ regeneration of NaOH. This approach shifts the paradigm from pollutant removal to resource valorisation, offering a replicable model for sustainable mining wastewater treatment with chemical reuse loops.In the urban context, microplastic pollution was addressed through the first systematic study on how microfiltration membrane configuration affects recovery efficiency. Using synthetic wastewater and varying spacer geometries and sizes, it was found that smaller diamond or corrugated geometries significantly improved performance, with recovery rates >99% and water reuse at 80%. This work provides practical design guidance for future applications in microplastic retention under real wastewater conditions.Additionally, circularity indicators (resource and water recovery) were applied to each case study, allowing for a quantitative assessment of circular performance. All recovered products and waters were analysed following the current Spanish legislation, confirming their potential reuse in irrigation, industrial, and cleaning applications. Overall, this thesis not only demonstrates the technical feasibility of integrated membrane–chemical systems, but also establishes their role as scalable, circular solutions for wastewater treatment across multiple sectors.

DOCTORAL DEGREE IN CIVIL ENGINEERING

ALARCÓN FERNÁNDEZ, DANIEL: A model for the aero‐hydro‐servo‐elastic analysis of floating offshore wind turbines based on a co‐rotational formulation
Author: ALARCÓN FERNÁNDEZ, DANIEL
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CIVIL ENGINEERING
Department: Barcelona School of Civil Engineering (ETSECCPB)
Mode: Normal
Deposit date: 12/09/2025
Reading date: 14/11/2025
Reading time: 12:00
Reading place: UPC Campus Nord, ETSECCPB, C/ Jordi Girona 1-3, edifici C2, Sala Conferències 212, Barcelona
Thesis director: MOLINS BORRELL, CLIMENT
Thesis abstract: Nowadays, there is an increasing, despite reduced, number of models capable of performing fully coupled aerohydro‐servo‐elastic simulations in the time domain for the analysis of floating offshore wind turbines (FOWTs).Historically, in its beginnings, these models widely adopted rigid multibody systems (RMS) formulations todescribe the global dynamics response of the complete system. However, their incapability to determine theinternal stress‐strain state of hyperstatic components, in conjunction with the irruption of platform conceptswith higher structural complexity, promoted the development of a second generation of models adoptingflexible multibody systems (FMS) formulations. Whose main strategy, because they were fundamentally anevolution of the firsts, relied on describing the dynamic response of the flexible components by superimposinga first‐order deformational analysis over their spatial rigid‐body configuration. Nevertheless, because theindustry has quickly trended in the last decades toward bigger and more powerful wind turbines, somecomponents of the system have suffered from increasing slenderness and flexibility. As is the case of the rotorblades or the tower, which are starting to require the adoption of non‐linear analyses to assess their dynamicresponse and their internal stress state properly.In this context, there is an incipient but reduced number of models capable of performing fully coupled nonlineardynamic structural analyses of FOWTs. However, they are mostly strictly restricted to one‐dimensionalbeam type elements, forcing the adoption of approximated local load mapping procedures during the detailedengineering design phase. For that reason, a new advanced fully coupled model based on the Finite ElementsMethod (FEM) is proposed in the present thesis. Its main advantages lie in the ability to perform non‐lineardynamic analyses in time domain of complex structural models composed of multiple finite elements ofdifferent nature. This feature allows a more precise definition of the real structural behaviour and, therefore,leads to more detailed internal stress‐strain state analyses without the need of adopting additional techniques.The underlying balance equations of the model have been derived based on the Element Independent Corotational(EICR) method, whose foundations were laid in the work developed by C. C. Rankin and F. A. Broganin the 1980s and later readapted and improved by C.A. Felippa and B. Haugen in the 2000s. However, becauseit was initially mainly focused on non‐linear quasi‐static structural analysis, a detailed and consistent extensionto non‐linear dynamics based on continuum mechanics theory has been developed in the framework of thepresent thesis research.To evaluate the performance of the proposed structural model, it has been verified based on a set ofcomputational mechanics benchmarks available in the literature on non‐linear dynamics of flexible bodies.While the fully coupled aero‐hydro‐servo‐elastic model for the analysis of FOWTs has been validated based onthe experimental data provided in the framework of the Offshore Code Comparison, Collaboration, Continued,with Correlation and unCertainty (OC6) international project promoted by the International Energy Agency(IEA).
ARES DE PARGA REGALADO, SEBASTIAN: Reduced order models and machine learning techniques for digital twin applications
Author: ARES DE PARGA REGALADO, SEBASTIAN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CIVIL ENGINEERING
Department: Barcelona School of Civil Engineering (ETSECCPB)
Mode: Article-based thesis
Deposit date: 30/09/2025
Reading date: 05/11/2025
Reading time: 15:00
Reading place: UPC Campus Nord, ETSECCPB, C/ Jordi Girona 1-3, edificio C1, Sala 002, Barcelona
Thesis director: ROSSI BERNECOLI, RICCARDO | HERNANDEZ ORTEGA, JOAQUIN ALBERTO
Thesis abstract: This thesis advances intrusive projection-based reduced order modeling (PROM) as a scalable, physics-consistent foundation for real-time digital twins in industrial applications. By integrating high-fidelity numerical methods with robust model reduction techniques, it addresses the computational bottlenecks limiting the deployment of large-scale simulations for design, optimization, and operational monitoring.Structured as a compendium of peer-reviewed articles, the work presents three key methodological contributions. First, it introduces a novel hyper-reduction framework for Petrov–Galerkin PROMs that eliminates the need for complementary meshes, enabling element-wise sampling fully compatible with standard finite element workflows, such as Kratos Multiphysics. Second, it proposes a scalable, HPC-enabled workflow for PROM training and deployment, leveraging parallel snapshot generation, distributed singular value decomposition, and a parallel version of the empirical cubature method, demonstrated on an industrial thermal digital twin of an electric motor. Third, it extends PROM methodologies into nonlinear regimes using latent-space closure strategies, including PROM-ANN and interpretable kernel-based surrogates (PROM-GPR, PROM-RBF), to overcome the Kolmogorov n-width barrier in convection-dominated flows. This extension includes a discrete physics-informed training strategy aligning neural network-based manifolds with the residual behavior of the underlying numerical scheme, ensuring physical consistency.The developed methods are systematically validated on canonical model problems such as the inviscid one-dimensional Burgers' equation, and extended to industrial configurations like the Ahmed body wake flow using the AERO-F framework. Classical techniques, including piecewise-linear and quadratic manifolds, are also discussed to contextualize the limitations of global linear subspaces and motivate the nonlinear strategies presented.All contributions have been implemented in the Kratos Multiphysics and AERO-F open-source frameworks, highlighting their practical applicability for large-scale engineering workflows. While this thesis does not implement a closed-loop digital twin, it provides a robust foundation for future Component Twins and Asset Twins, bridging high-fidelity modeling and real-time predictive capabilities.Lastly, this thesis supports technology transfer through the SimTwins spin-off initiative, delivering scalable and open-source digital shadows and digital twins tailored to meet emerging Industry 4.0 and 5.0 demands. Collectively, these contributions position intrusive projection-based ROMs as robust, interpretable, and high-performance tools essential for next-generation digital twin ecosystems.
PERELLÓ RIBAS, RAFEL: Data assimilation for real-time dynamic prediction of wind-induced forces in vehicle platooning
Author: PERELLÓ RIBAS, RAFEL
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CIVIL ENGINEERING
Department: Barcelona School of Civil Engineering (ETSECCPB)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 17/11/2025
Reading time: 14:00
Reading place: UPC Campus Nord, ETSECCPB, C/ Jordi Girona 1-3, edificio C1, Sala 002, Barcelona
Thesis director: HUERTA CEREZUELA, ANTONIO | ZLOTNIK MARTINEZ, SERGIO
Thesis abstract: We consider the vehicle platoon problem from an aerodynamic point of view. That is, the multiparametric problem of predicting the aerodynamic forces acting on a vehicle following another one under realistic road conditions. We develop a RANS methodology to simulate accurately the physics governing the problem and devise a multifidelity methodology to approximate the problem using as few computational resources as possible. In the first part of the thesis we develop and analyse the surrogate methodology in the framework of the Smolyak approximation method. We extend the Multi-Index Stochastic Collocation (MISC) method to handle the problem in a more efficient way. This includes the possibility of constructing a single surrogate for vector-valued functions as well as the use of a parametric domain with categorical variables representing a finite number of possible leading vehicle geometries.For this, we formulate the Smolyak approximation in a more abstract way and implement it in a modular C++ code using efficient and stable numerical algorithms. We also provide some novel convergence bounds of the method and validate them with numerical examples. We also address the problem of unstability that manifests in some problems where MISC has been applied in the form of spurious oscillations. We identify the reasons of the oscillations as irregularities present in the low fidelity data and prove a theorem in the general framework of multifidelity that shows that such irregularities must be avoided to ensure convergence of the surrogate.In the second part of the thesis we study different efficient CFD methodologies to simulate accurately the flow past a vehicle in realistic road conditions. This includes the presence of cross-wind and the disturbances of the flow due to other vehicles in typical platoon and overtake manoeuvres. Finally we apply the extended MISC method to a multiparametric platoon problem to construct a surrogate of the three components of the aerodynamic force acting on a vehicle under realistic platoon conditions.
PRATS PUNTÍ, ARNAU: Estudi experimental de la resistència al flux de la canya americana (Arundo Donax) en condicions de vegetació emergent. Aplicació a rius mediterranis.
Author: PRATS PUNTÍ, ARNAU
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CIVIL ENGINEERING
Department: Barcelona School of Civil Engineering (ETSECCPB)
Mode: Normal
Deposit date: 26/09/2025
Reading date: 18/11/2025
Reading time: 15:00
Reading place: UPC Campus Nord, ETSECCPB, C/ Jordi Girona 1-3, edificio C1, Sala 002, Barcelona
Thesis director: FERRER BOIX, CARLES | NUÑEZ GONZÁLEZ, FRANCISCO
Thesis abstract: The massive presence of giant reed (Arundo Donax) in river channels leads to an increased flood risk. In riparian areas with a Mediterranean climate, this invasive plant of great height and spatial density represents a significant increase in flow resistance as it colonizes areas previously occupied by native vegetation or bare alluvial soil. Arundo Donax’s flow resistance was not quantified and knowing it is necessary to calculate the hydraulic capacity of river channels where it is present, and thus improve flood risk management.The main characteristics of the plant necessary for its study were obtained from a fieldwork carried out in a riparian stand located in the Llobregat River (near Barcelona). The stems have an average height of 6 m and the spatial density is very variable, with an average value of 23 m2 but with a maximum of 78 and a minimum of 4. The leaves grow only in the upper half of the plants, and for the lower part the average frontal area of opposition per unit volume (a) is 0.575 m-1 and the solid fraction is 0.011.Due to the large size of the plant, an experimental study was conducted in a laboratory flume using a physical scale model based on Froude similarity. The study focused exclusively on emergent vegetation conditions (that is when the plant height exceeds the water depth and occupies the entire water column) and therefore stem bending is irrelevant and is not represented. The geometric scale of the model is 8 and the stems are represented in the flume by rigid steel cylinders with a diameter of 3.4 mm.The main objective is to determine the drag coefficient (CD) of the extensive Arundo Donax's stands under emergent vegetation conditions. With this coefficient, the drag force and flow resistance can be calculated for any water depth below 3 m, which is the maximum threshold at which the assumed hypotheses are applicable.The spatial distribution of the stems obtained in the fieldwork was represented in the flume (heterogeneous model). To analyze the effect of a highly variable spatial distribution of obstacles on the flow, a second model was installed for comparison. This second model (homogeneous model) has the same characteristics and number of cylinders, but with the difference that they are placed in a staggered pattern. The analysis of the velocity measurements obtained with ADV was carried out by applying their temporal and spatial average (Double-Averaging Method). The momentum balance, necessary for the calculation of CD, was calculated with the Double-Averaged Navier-Stokes equations.For the heterogeneous model, the average result of CD is 1.06 and no clear relationship between CD and flow velocity is observed for the tested velocity range (0.26-0.81 m/s, prototype scale). The result of the homogeneous model is higher (1.34 on average), and means that the heterogeneous spatial distribution of the stems causes their drag force and flow resistance to be lower than if they were located following a homogeneous pattern. The vertical profiles of the longitudinal velocity do not have a logarithmic shape but are rather constant.The results are intended to be applied in streams with a massive presence of Arundo Donax’s stands, using a flow resistance equation valid under emergent vegetation conditions which uses the product of the variables CDa equal to 0.61 m-1, obtained in this research. For the stands, the larger the water depth the larger the flow resistance. Flow resistance values obtained are much higher than those of the alluvial bed or other riparian species, thus demonstrating Arundo Donax’s great impact on hydraulics and flood risk. Application of the results was conducted in two real case studies. For a small stream full of stands that crosses an urban area, the estimated hydraulic capacity is reduced by 60%.
RENDON DÁVILA, VÍCTOR OSCAR: COMPORTAMIENTO HIDRÁULICO DE ALIVIADEROS DE PERFIL ESTRICTO EN ZONAS DE GRAN ALTITUD
Author: RENDON DÁVILA, VÍCTOR OSCAR
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CIVIL ENGINEERING
Department: Barcelona School of Civil Engineering (ETSECCPB)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 10/11/2025
Reading time: 12:00
Reading place: UPC Campus Nord, ETSECCPB, C/ Jordi Girona 1-3, edificio C1, Sala 002, Barcelona
Thesis director: SANCHEZ JUNY, MARTI
Thesis abstract: This research explores the influence of altitude on the shape of strict profile spillways and their discharge coefficients, pressure field, and cavitation risk. An experimental campaign has been carried out next to the Condoroma dam, in Peru, at an altitude of 4075 m a.s.l. and the data obtained were compared with existing classical references. First, the influence of altitude on the spillway profile was analyzed. For this purpose, the discharge over a sharp crested rectangular spillway was analyzed, considering 5 discharge heights of 0.05, 0.10, 0.20, 0.20, 0.30, and 0.35 m and flow rates up to a maximum of 285 l/s. Classical fits by Creager (1917), Scimemi (1930), Creager et al. (1945), Hager (1987), and WES (1977) show some differences with respect to the profile resulting from the Condoroma experiments for all P⁄Hd ratios.The equation proposed for the Condoroma data allows the standard profile of a spillway to be defined at altitudes around 4000 m a.s.l. Near the ridge 0<x⁄H_d <0.5, for dimensionless profiles, there is a tendency for the Condoroma values to overlap with the classical profiles. For x⁄Hd >1, the Condoroma profile, it tends to separate from all the classical profiles, giving a slightly wider profile. In order to evaluate the discharge coefficients, up to five different spillway heights (P), characterized by the dimensionless value (P⁄Hd ) were analyzed. The results show that the discharge coefficients vary considerably, with values systematically lower than those obtained to date in previous studies at lower altitudes. With regard to the pressure field and the risk of cavitation in standard profile spillways designed according to the USBR criteria for the 5 different heights, the results are presented in standardized graphs and compared with previous studies, showing that the pressure ranges obtained are similar. In addition, the structural recommendations for the design of these spillways are compared, and it is found that in most cases they are more restrictive than in areas of lower elevation.With regard to the risk of cavitation, new plots are presented with for P⁄H_d showing that there is a critical value of H⁄Hd and that this is more limiting than the pressure load for all the P⁄Hd studied.

DOCTORAL DEGREE IN COMPUTATIONAL AND APPLIED PHYSICS

EIXIMENO FRANCH, BENET: High performance computing and artificial intelligence algorithms for dimensionality reduction of turbulent flows
Author: EIXIMENO FRANCH, BENET
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN COMPUTATIONAL AND APPLIED PHYSICS
Department: Department of Physics (FIS)
Mode: Article-based thesis
Deposit date: 29/09/2025
Reading date: 31/10/2025
Reading time: 12:00
Reading place: Sala d'actes Manuel Martí Recober - Planta 0 - Edifici B6 - Campus Nord UPC
Thesis director: RODRIGUEZ PEREZ, IVETTE MARIA | LEHMKUHL BARBA, ORIOL
Thesis abstract: This thesis presents a suite of methodologies for the dimensionality reduction of turbulent flow data, with a focus on high-fidelity simulations of external aerodynamics in industrial contexts, such as flow around simplified road vehicles. These simulations, typically performed on unstructured meshes with hundreds of millions of degrees of freedom, require scalable tools for analysis and modeling. All developments are implemented in pyLOM, an open-source Python library designed for terabyte-scale reduced-order modeling.The work progresses in four main steps, all of them published and detailed in their corresponding peer-reviewed article. First, classical reduction techniques based on the singular value decomposition (SVD), such as proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and spectral POD (SPOD), are adapted for high-performance computing by exploiting parallel QR factorization. Strong and weak scalability tests demonstrate high efficiency, with communication during QR factorization identified as the main bottleneck. Such performance gains together with the parallel input/output capabilities of pyLOM helped to apply these algorithms to datasets which occupy several terabytes of data as the direct numerical simulation of the flow in the Stanford diffuser in 80 seconds.Second, a convolutional neural network (CNN) variational autoencoder ($VAE) is developed for nonlinear dimensionality reduction, successfully capturing the temporal dynamics of the Windsor body back pressure with only two latent variables. The model effectively compresses snapshots of back pressure taken at yaw angles of 2.5º, 5º, and 10º. The projection of the mean pressure coefficient to the latent space yields an increasing linear evolution of the two latent variables with the yaw angle. The mean pressure coefficient distribution at yaw angle 7.5º is predicted with a mean error of 3.13% when compared to the results obtained by means of wall-modeled large eddy simulations (WMLES) after computing the values of the latent space with linear interpolation.Both methodologies have been merged to create a novel method named Geometry-Agnostic Variational-autoencoder Integration (GAVI), replacing the SVD step with a VAE operating on QR-factorized data. GAVI provides compact latent spaces without requiring structured grids, achieving high energy recovery across diverse test cases: circular cylinder, Windsor body, and urban flows, with latent spaces of 3–6 variables recovering over 90% of flow energy. The only step involving high performance computing (HPC) in GAVI is the computation of the QR factorization. This operation is done in parallel using pyLOM and its economic cost for all cases tested is lower than 10€. The fit of the VAE to the R matrix can be done with a GPU that fits in a workstation or laptop.Finally, a transformer-based closure strategy is proposed to compensate for energy loss in reduced models. By learning the spatial distribution of unresolved fluctuations, it improves reconstruction accuracy for complex unstructured domains, outperforming approaches based on super resolution generative adversarial networks (SRGAN) in both vehicle wakes and urban wind scenarios. The transformer model learns the probability density function of the missing fluctuations conditioned to the fluctuations already recovered by the model. Adding these fluctuations closes the energy gap between the original and the reconstructed data and improves the accuracy on both the instantaneous fields and the root mean square value of the fluctuations.

DOCTORAL DEGREE IN COMPUTER ARCHITECTURE

RODRIGUEZ FERRANDEZ, IVAN: Mixed software/hardware-based fault-tolerance techniques for complex COTS system-on-chip in radiation environments
Author: RODRIGUEZ FERRANDEZ, IVAN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
Department: Department of Computer Architecture (DAC)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 01/12/2025
Reading time: 09:00
Reading place: C6-E101
Thesis director: KOSMIDIS, LEONIDAS | TALI, MARIS
Thesis abstract: This thesis titled “Mixed Software/Hardware-based Fault-tolerance Techniques for Complex COTS System-on-Chip in Radiation Environments" explores the challenges and solutions for integrating high-performance Commercial Off-The-Shelf (COTS) System-on-Chip (SoC) technologies, specifically GPUs, into space applications. These automotive-grade systems offer significant computational capabilities but face unique challenges in radiation-intense environments typical of space. The research investigates these challenges and proposes solutions to enhance the reliability of such systems. A key component of the thesis involves the comprehensive evaluation of modern embedded GPUs under space-like conditions, including exposure to proton and heavy-ion radiation. This analysis identifies vulnerabilities such as Single Event Effects (SEE) , which can cause faults like Single Event Upset (SEU), Single Event Functional Interrupt (SEFI), and Single Event Latch-up (SEL). To support these evaluations, the author develops the OBPMark suite, an open-source benchmark tailored for assessing the performance and efficiency of GPUs in space-specific computational tasks. To address the faults identified, the thesis proposes innovative software-based fault mitigation strategies. These include the design of fault-tolerant GPU kernels and middleware solutions that improve error detection and recovery. The effectiveness of these methods is demonstrated through both simulation and radiation testing. Additionally, the research presents hardware-level innovations, such as the development of application-specific integrated circuits (ASICs) and specialized printed circuit boards (PCBs), to enhance system resilience without compromising performance. This work significantly contributes to the field of space computing by creating a robust framework for evaluating and mitigating radiation effects in complex COTS SoCs. It bridges the gap between the cost-effectiveness and performance of commercial technologies and the reliability demands of space-grade applications. The findings of this thesis pave the way for the adoption of high-performance embedded GPUs in future space missions.
SERRACANTA PUJOL, BERTA: Accelerating the Cloud: An Application-Agnostic Approach to Network and Compute Optimization
Author: SERRACANTA PUJOL, BERTA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
Department: Department of Computer Architecture (DAC)
Mode: Normal
Deposit date: 19/09/2025
Reading date: 21/11/2025
Reading time: 10:00
Reading place: Sala 103 - Aula Teleensenyament - Edif. B3 - Planta 1
Thesis director: CABELLOS APARICIO, ALBERTO | RODRÍGUEZ NATAL, ALBERTO
Thesis abstract: This thesis explores how to enhance the performance of cloud applications by addressing inefficiencies across both the network and compute layers of modern distributed systems. As cloud-native applications grow more complex and are deployed across heterogeneous, geographically distributed infrastructures, traditional abstractions, though foundational for scalability and modularity, have begun to constrain opportunities for global coordination and responsiveness. To overcome these limitations, this work introduces two complementary approaches: one that improves network resource utilization without requiring developer involvement, and another that enhances compute-side elasticity through a smarter, more proactive autoscaling mechanism. Both approaches are guided by a common design philosophy: introducing context-aware intelligence in a minimally disruptive way, maintaining full compatibility with existing architectures, infrastructure, and developer workflows.The first part of the thesis focuses on Network-Application Integration (NAI), specifically targeting performance improvements in inter-datacenter communication. To this end, it proposes an application-agnostic solution based on extended Berkeley Packet Filter (eBPF) and eXpress Data Path (XDP) technologies. By dynamically identifying and separating short and long Transmission Control Protocol (TCP) flows at the network ingress, the system enables differentiated routing through distinct network tunnels, thereby mitigating queuing delays and reducing flow completion times. A key advantage of this approach is that it operates transparently, requiring no modifications to applications or developer-provided annotations, making it highly deployable within existing environments. Testbed experiments demonstrate that this technique significantly reduces latency and improves resource utilization in hybrid, multi-datacenter scenarios.The second part of the thesis turns to the compute domain, focusing on autoscaling mechanisms in Kubernetes-managed microservice environments. Recognizing the limitations of existing reactive scaling strategies, the work develops a control-theoretic model of the Kubernetes Horizontal Pod Autoscaler (HPA), formally analyzing its stability and responsiveness. Based on these insights, a new context-aware HPA is introduced, which incorporates upstream CPU metrics from the application’s service graph to anticipate downstream load changes. This proactive strategy enables more efficient and stable scaling decisions, improving responsiveness and reducing latency during traffic spikes. Notably, it achieves these gains without relying on complex performance models or machine learning, preserving simplicity and compatibility with standard Kubernetes tooling.Overall, the two approaches presented in this thesis offer practical methods for improving the performance and efficiency of distributed cloud applications, with a focus on compatibility with existing systems and workflows. Rather than proposing disruptive architectural changes, both solutions extend current abstractions to introduce additional context-awareness where it can be most effective. The results suggest that incremental, deployable enhancements to orchestration and networking layers can help address emerging challenges in scalability and responsiveness, making them suitable candidates for integration into real-world cloud-native environments.

DOCTORAL DEGREE IN CONSTRUCTION ENGINEERING

BENAVIDES ALCIVAR, JULIO DARIO: Thermo-mechanical performance of steel slag asphalt mixtures and their potential for urban heat mitigation
Author: BENAVIDES ALCIVAR, JULIO DARIO
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CONSTRUCTION ENGINEERING
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Article-based thesis
Deposit date: 19/09/2025
Reading date: 14/11/2025
Reading time: 11:30
Reading place: D1-103 defensa de tesis
Thesis director: APONTE HERNÁNDEZ, DIEGO FERNANDO | LÓPEZ MONTERO, TERESA
Thesis abstract: This doctoral thesis focuses on the study of steel slag from electric arc furnaces as a technically and environmentally viable substitute for natural aggregates in asphalt mixtures. While the primary objective was to evaluate its thermo-mechanical behaviour and potential for urban heat island (UHI) mitigation, other fundamental aspects were also addressed to validate its real-world application in sustainable urban pavements, such as moisture resistance, fatigue performance and cracking behaviour.Through a series of experimental investigations, structured as independent yet complementary chapters, the influence of steel slag on the physico-chemical, mechanical, and thermal properties of asphalt mixtures was analysed, along with its integration into embedded solar collector systems (ASC).Initially, the physical, morphological, and chemical properties of steel slag were characterised to understand its effect on aggregate–bitumen adhesion and moisture resistance (ITSR). Through bitumen affinity tests, digital image analysis, and ITSR testing, it was demonstrated that steel slag improves resistance to moisture damage—even under total replacement—due to its high surface roughness and its composition rich in metallic oxides.In a second stage, partial replacement of natural aggregates by steel slag in the fine fractions was evaluated. Similar benefits were observed in terms of moisture resistance, with density remaining within conventional ranges. This result suggests that the use of steel slag in fine fractions may overcome previous limitations related to increased total mix weight.Subsequently, the mechanical behaviour was addressed through indirect tensile strength, stiffness, and fatigue tests. Mixtures with different levels of slag replacement and bitumen film thicknesses (TF) were designed and evaluated using four-point bending and strain sweep (EBADE) tests. The results showed that increasing the slag content raises mixture stiffness but reduces fatigue resistance, an effect attributed to the material's hardness and its tendency to decrease the effective bitumen film thickness. However, a well-optimised mixture—such as HMA_SL* with a corrected TF—achieved performance similar to the control mixture, even under critical temperature conditions.Furthermore, crack resistance was assessed using the Fénix test, which showed that although slag-containing mixtures require more energy to initiate cracking, their post-failure behaviour tends to be more brittle. Nevertheless, the mixture optimised in terms of bitumen film thickness showed significant improvements in toughness (IT) and fracture energy (GF), highlighting that adjusting the binder content is essential to mitigate this limitation.In parallel, the thermal properties of the mixtures were investigated through both experimental tests and numerical simulations (FEM). It was observed that steel slag reduces the thermal conductivity of the mixture, slowing down its cooling rate and thus extending the compaction window. While this also lengthens the required cooling time prior to traffic opening, the simulations accurately predicted thermal evolution, facilitating better design and process control.Finally, the application of steel slag in asphalt pavements with embedded solar collectors (ASC) was explored, aimed at UHI mitigation and thermal energy recovery. Dense mixtures containing steel slag (AC16D + AC22D) exhibited favourable thermal balance, reducing surface temperature by up to 16.3 °C and improving heat collection efficiency compared to gap-graded mixtures with the same material (BBTM11-B + AC22D). This performance confirms its potential as a functional material for sustainable urban applications.Altogether, the findings of this thesis validate steel slag as a technically sound, functional, and environmentally competitive material for the development of both structural and functional asphalt mixtures, contributing to more sustainable urban paving practices.
LOA CANALES, GUSTAVO JUAN FRANKLIN: Seismic performance and loss assessment of Peruvian RC wall buildings designed under current codes
Author: LOA CANALES, GUSTAVO JUAN FRANKLIN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CONSTRUCTION ENGINEERING
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Change of supervisor
Deposit date: 25/09/2025
Reading date: 05/11/2025
Reading time: 15:00
Reading place: Pontificia Universidad Católica del Perú (PUCP)
Thesis director: MURCIA DELSO, JUAN | TARQUE RUIZ, SABINO NICOLA
Thesis abstract: In countries with high seismicity, such as Peru, Chile, and Colombia, the mid- to high-rise buildings typically use reinforced concrete (RC) wall systems, which have generally demonstrated adequate seismic performance. However, cases such as the collapse of the Alto Río building during the 2010 Chile earthquake and severe damage reported in other wall-structured buildings reveal that, under certain conditions, these systems may be vulnerable. Modern RC wall buildings in Peru have not yet been subjected to a severe earthquake, so it is uncertain whether current design procedures established in Peruvian standards are adequate to provide sufficient safety or to achieve a repairable state after a major earthquake.This thesis employs analytical methods to evaluate the performance and expected losses of modern Peruvian RC wall buildings. First, it examines the design and detailing procedures of a representative set of buildings, from which 20 prototype buildings are developed for analysis. The structural performance is evaluated for different levels of seismic intensity, and the damage and losses are estimated using the FEMA P-58 methodology. Finally, recommendations are made to improve current design standards for RC wall buildings in Peru.The typical design and detailing characteristics of 20 RC wall Peruvian buildings constructed between 2010 and 2023, were used to develop 20 prototype code-conforming wall buildings. The configurations of the prototype buildings and the structural design of the walls, columns, and beams was obtained automatically with a MATLAB script, following all the guidelines of the current standards.An efficient beam-based computational model that accounts for axial-shear-flexure interaction was developed and implemented in OpenSees to analyze entire building systems. The model combines a force-based beam element with a fibre section for flexural response and a zero-length element for shear response. The reduction of shear resistance caused by inelastic flexural deformations is accounted for in the model to reproduce failures due to shear-flexure interaction. The model provides good predictions on average for the effective stiffness, lateral strength and ultimate displacement for the 52 wall tests, with mean numerical-to-experimental ratios of 1.13, 1.02 and 1.00, respectively.Nonlinear static and time-history dynamic analyses of the 20 prototype buildings were conducted using the beam-based modelling scheme for walls. The static analysis results show average values of an ultimate roof drift ratio of 1.35%, an overstrength ratio of 2.43, and a primary failure mode corresponding to the concrete crushing of wall ends caused by flexural deformations. On average, the peak roof displacements for the design basis earthquake (DBE) obtained from nonlinear analysis were 1.6 times the code expectations and corresponded to displacement demand/capacity ratio ranging between 0.25 and 0.83. The expected seismic losses of twelve prototype buildings were assessed following the FEMA P-58 methodology. The lateral capacity of low-rise buildings was higher than that of higher buildings, which generated some collapse cases for the buildings of 8 to 16 levels. The results show a mean loss ratio (MLR) at design level earthquake of 28.5%, 31.5%, 33.5% and 32.6% for the buildings of 4, 8,12 and 16 levels, respectively.It is concluded that the displacement demands in Peruvian RC wall buildings are higher than those estimated by conventional procedures in the current Peruvian standards, and the estimated damages are more severe than expected. On this basis, updates to Peruvian codes are recommended, which include: (1) changes for the calculation of expected seismic displacements, (2) classification of structural walls into ordinary and special categories with different inter-story drift limits, (3) mandatory peer review and nonlinear response history analysis for certain buildings, and (4) calculation of accelerations.
VALVERDE BURNEO, DAVID ENRIQUE: Desarrollo de nuevos materiales cementicios multifuncionales
Author: VALVERDE BURNEO, DAVID ENRIQUE
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN CONSTRUCTION ENGINEERING
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Article-based thesis
Deposit date: 10/10/2025
Reading date: pending
Reading time: pending
Reading place: pending
Thesis director: SEGURA PEREZ, IGNACIO | GARCIA TRONCOSO, NATIVIDAD LEONOR
Thesis abstract: This doctoral thesis focuses on the development of multifunctional cementitious materials, combining structural strength with self-sensing capabilities through piezoresistivity, as well as integrating deformation energy dissipation through auxetic structures. The research explores the integration of conductive and structural fibers in cementitious matrices, coupled with the use of advanced manufacturing techniques such as 3D printing and the use of flexible silicones to obtain molds with complex architectures. The objective is to obtain cementitious materials that in addition to possessing structural capacity, have added function capabilities. It is expected that these materials can be used in buildings with self-monitoring, damage prevention, stress sensing pavements, structural elements with higher impact resistance and energy dissipation capabilities. The research begins with an exhaustive bibliographic review, from which the most promising materials have been selected to achieve the proposed objectives. The experimental campaign and data treatment/analysis have been defined. The work continues with the realization of the planned experiments, the analysis of the results, the optimization of the composition and properties of the new cementitious materials, the development of prototypes testing the potential applications.From the achievements obtained in this doctoral thesis we have the following: the research and publication of a cementitious composite reinforced with recycled carbon fibers to obtain a piezoresistive conductive concrete, which presents a variation of the electrical conductivity with respect to the unitary deformation quite evident when the fiber addition contents are around 1% in volume. This makes it an ideal sustainable cementitious material for strain and/or stress detection. This publication can be found in the journal Construction and Building Materials.Another research focuses on the mechanical characterization of cellular auxetic cementitious cementitious composites (which achieve their auxeticity through the presence of ellipsoidal holes in their structure) reinforced with recycled steel fibers. This research successfully characterizes the influence of fiber content on the mechanical response to compression and deformation energy dissipation, while demonstrating the feasibility of using recycled resources. Within this same publication, a family of functions was presented that successfully fit the mechanical response curves (stress-strain, energy dissipated by deformation) that were obtained experimentally. This publication can be found in the Journal of Building Engineering.A third article achieved in this thesis deals with the development of a new type of piezoresistive concrete with auxetic capacity. This material, obtained by combining cellular auxetic cementitious cementitious composites and recycled carbon fibers, is capable of detecting deformations from very low to high levels. Its potential applications in structural monitoring are promising, and the results of this research have been published in Case Studies in Construction Materials.

DOCTORAL DEGREE IN ELECTRONIC ENGINEERING

CAMÓS VIDAL, ROBERT: Design and characterization of an unobtrusive ECG monitoring system for wheelchairs
Author: CAMÓS VIDAL, ROBERT
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN ELECTRONIC ENGINEERING
Department: Department of Electronic Engineering (EEL)
Mode: Normal
Deposit date: 16/09/2025
Reading date: 14/11/2025
Reading time: 11:00
Reading place: Aula de Teleensenyament de l'edifici B3 de l'ETSETB, campus nord
Thesis director: ROSELL FERRER, FRANCISCO JAVIER | SUDRIA ANDREU, ANTONI
Thesis abstract: This work was carried out within the framework of the “Doctorats Industrials” program, in collaboration with Regner Engineering S.L., a company specialized in the manufacturing of wheelchair solutions, and the Universitat Politècnica de Catalunya.As cardiovascular diseases (CVDs) remain the leading cause of death globally, and people with disabilities are at increased risk, the need for continuous, non-obtrusive heart monitoring becomes urgent. Three high-growth markets relevant to Electrocardiography (ECG) monitoring in wheelchairs were analyzed. First, the global wheelchair market is growing steadily, with powered models showing strong demand. Next, wearable and medical wearable markets are expanding rapidly, driven by advances in sensor integration and healthcare needs. Finally, the mHealth and IoHT sectors are experiencing major growth due to digital health trends and remote monitoring. Together, these markets highlight strong commercial potential for the proposed system.This PhD thesis presents the design and validation of a novel unobtrusive ECG monitoring system fully embedded into a wheelchair, tailored to the daily needs of individuals with mobility impairments.The developed solution integrates single-lead ECG sensors into the wheelchair’s armrests, using active electrodes powered by a bootstrapped supply to ensure ultra-high input impedance and high Common Mode Rejection Ratio (CMRR) in front of electrode impedance mismatch. This design allows the system to operate under both direct conductive contact (similar to dry electrodes) and indirect capacitive coupling (through clothing), without requiring hardware changes.Furthermore, the ECG sensor includes a protection circuit against electrostatic discharges (ESD), compliant with IEC 61000-4-2, which has been accurate designed and simulated in order not to degrade the high input impedance. The system also features Bluetooth connectivity and a modular backend, aiming for future scalability and industrial application.Sensor characterization was performed using an original experimental setup with an AC coupling inside a Faraday cage, allowing the measurement of very high input impedance values at low frequencies, i.e.191 fF at 50 Hz and common-mode rejection ratios (CMRR) up to 76.1 dB. Real-ECG recording tests with a volunteer wearing a cotton shirt confirmed accurate signal acquisition, with 117 µV RMS amplitude for the ECG and 31 dB of Signal to Noise Ratio (SNR).The research successfully achieved its goals by designing and validating a reliable unobtrusive ECG system for wheelchairs, meeting both clinical and industry standards. It lays a strong foundation for future developments in health monitoring. The proposed solution lays the foundation for future integration into chairs, beds, vehicle seats or even wearable technologies. It marks an important advance toward reliable, non-intrusive ECG monitoring for people with limited mobility, with both clinical and commercial potential.

DOCTORAL DEGREE IN ENVIRONMENTAL ENGINEERING

SAVADKOOHI, MARJAN: An Advanced Control Strategy for Optimizing HVAC System Performance in Non-Residential Buildings
Author: SAVADKOOHI, MARJAN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN ENVIRONMENTAL ENGINEERING
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Normal
Deposit date: 10/09/2025
Reading date: 24/11/2025
Reading time: 11:00
Reading place: Place: ETSECCPBUPC, Campus NordBuilding C1. Classroom: 002C/Jordi Girona, 1-308034 Barcelona
Thesis director: CASALS CASANOVA, MIQUEL | MACARULLA MARTÍ, MARCEL
Thesis abstract: This PhD research addresses the scientific and practical challenges in implementing advanced control systems (ACS) for HVAC optimization in non-residential buildings. While adaptive and predictive strategies, especially model predictive control (MPC) and neural network (NN)-based methods, have shown promise in research, real-world deployment remains limited. Barriers include insufficient building historical data, technical limitations of HVAC systems, lack of building energy management systems (BEMS) standardization, and low institutional readiness. To address these, this thesis uses a dual-method approach combining empirical analysis and simulation-based experimentation.First, a survey of 676 non-residential buildings evaluates BEMS practices, focusing on HVAC control, data storage, and predictive control adoption. While smart metering and sensors are increasingly common, predictive control is reported in only 0.6% of buildings. Key barriers identified include a lack of environmental data logging, obsolete HVAC systems that do not support integration with predictive control technologies, limited technical expertise among building operators, and insufficient investment frameworks, particularly in the public sector.To respond to data and implementation challenges, the second part develops and evaluates NN-based predictive controllers using a calibrated building energy model. Eight NN models are trained on varying amounts of historical data to assess impacts on prediction accuracy and HVAC performance. Validations use consistent KPIs for thermal comfort and energy efficiency. Results show that 1–4 months of data are needed for acceptable performance, reaching a performance threshold after two years. Data preprocessing helps in data-limited cases (<100 instances), but adds little value with larger datasets, suggesting a context-specific role.Further analysis explores operational and climatic sensitivities. In cold climates and post-HVAC shutdown periods (e.g., Monday mornings), models struggle due to sparse training data. Performance improves mid-week and in warm zones, highlighting the need for diverse and climate-adapted training data. Compared to rule-based scheduling, NN controllers consistently improve energy use and comfort, especially when supported by adequate data and system configuration.This thesis offers novel insights into deploying intelligent HVAC control systems. It identifies data thresholds for effective predictive control, clarifies preprocessing roles, and provides guidance on model adaptation to climate and operations. It also highlights broader needs such as standardizing data acquisition, training energy professionals, and fostering public-private collaboration to reduce implementation risk. The findings support scalable predictive control in practice and contribute to the goals of energy efficiency, smart building management, and decarbonization.

DOCTORAL DEGREE IN GEOTECHNICAL ENGINEERING

YAZDANI CHERATI, DAVOOD: Hydromechanical Simulation of Argillaceous Rocks for Radioactive Waste Disposal Applications
Author: YAZDANI CHERATI, DAVOOD
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN GEOTECHNICAL ENGINEERING
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Normal
Deposit date: 28/07/2025
Reading date: 14/11/2025
Reading time: 12:00
Reading place: ETSECCPB. UPC, Campus NordBuilding C1. Classroom: 002C/Jordi Girona, 1-308034 Barcelona
Thesis director: VAUNAT, JEAN | GENS SOLE, ANTONIO
Thesis abstract: Argillaceous claystones are primarily composed of clay particles of sedimentary origin andcontain a substantial amount of chemically precipitated cement, often calcium carbonate, whichacts as a bonding agent. Due to their favorable properties—such as low permeability, minimalmolecular diffusion, self-sealing capabilities, and high retention capacity for radionuclides—theyare considered suitable host geomaterials for the deep geological disposal of radioactive waste.However, fractures within these geomaterials, induced by excavations or post-disposal processes,can create preferential pathways for radionuclide migration, potentially influencing theperformance of the disposal system. Therefore, these problems should be numerically evaluated.However, due to their complex behavior, modeling argillaceous rocks presents a significantchallenge. Under shearing, these geomaterials exhibit anisotropy, creep, and quasi-brittle failurecharacterized by significant post-peak softening and strain localization. This study aims toinvestigate the hydromechanical response of Callovo-Oxfordian (COx) argillaceous claystones tolaboratory tests, field excavations, and post-disposal processes by employing the argillite modelsimplemented in the CODE-BRIGHT program. The argillite models are adopted since they caneffectively reproduce the key characteristics of argillaceous materials. Additionally, throughoutthis thesis, several other constitutive models are applied to simulate the behavior of materialsinteracting with the COx, including soft and rigid supports, and swelling materials. The outcomesof this thesis provide significant insight into the hydromechanical behavior of argillaceous rocks,thereby contributing to a more accurate evaluation of the disposal process.

DOCTORAL DEGREE IN MARINE SCIENCES

ANGELINI, RICCARDO: Coastal environment monitoring through satellite, terrestrial and airborne remote sensing
Author: ANGELINI, RICCARDO
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN MARINE SCIENCES
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 24/11/2025
Reading time: 10:30
Reading place: Civil and Environmental Engineering Department, University of FlorenceVia di Santa Marta 3, Florence
Thesis director: MASIERO, ANDREA | LUZI, GUIDO | RIBAS PRATS, FRANCESCA
Thesis abstract: Coastal areas are increasingly threatened by sea-level rise due to climate change and anthropogenic pressures, calling for robust and scalable monitoring tools. The first phase of this thesis implements a comprehensive methodology for semi-automatic shoreline extraction through the use of multispectral satellite imagery (Sentinel-2 and PlanetScope). The extracted shorelines are validated using in situ GNSS surveys and high-resolution orthomosaics along three Mediterranean sandy beaches. The shoreline extraction tool works with several spectral indices tested with thresholding and unsupervised clustering segmentation methods. A high coastline extraction performance is achieved using Sentinel-2, with an average sub-pixel accuracy of 4 m (Mean Absolute Deviation, MAD) obtained from a 10 m pixel. A MAD of 2 m is achieved from imagery at 3 m pixel resolution of PlanetScope. In the second phase, the obtained multispectral satellite shorelines are used to characterize megacusps shoreline undulations with alongshore wavelengths of hundreds of meters and cross-shore amplitudes up to a few tens of meters that can significantly affect beach usability. Subsequent validation with reference data proves satellite-derived shorelines can robustly and accurately describe megacusp parameters such as amplitude and wavelength. Moreover, megacusp evolution can be effectively characterized by combining different types of satellite imagery (Sentinel-2 and PlanetScope), enabling the identification of periods of growth, decay, and migration, even at weekly timescales. This can be a useful tool to manage the impact of these features on Mediterranean beaches.Another phase involves evaluating and correcting the extracted shorelines to tide excursions and wave setup. Corrections based on tide gauge and buoy data show that although absolute displacements are limited, assessing them helps eliminate a potential source of error, justifying their integration into high-accuracy workflows. This would also allow applying the developed methodology to meso- or macro-tidal beaches.Finally, the research incorporates Synthetic Aperture Radar (SAR) imagery (Sentinel-1 and TerraSAR-X) to expand the shoreline extraction tool to periods without light or with clouds, including two other Mediterranean beaches characterized by gravel sediment. The SAR-based shoreline extraction module includes advanced extra-denoising filtering and an outlier detection module, but it maintains the core methodology used in the first phase, demonstrating the flexibility of the developed approach. The results demonstrate unprecedented accuracy and stability for gravel beaches (approximately 6 m of MAD), and for sandy beaches (approximately 7 m of MAD), starting from a 10 m pixel size. In a comparative assessment between the two TerraSAR-X images available and the closest Sentinel-1 in terms of time, the first achieves higher accuracy in terms of MAD (2.5 m) compared to the second one (6.5 m), but only in the image with good meteorological conditions (no differences are obtained in the other date). The study also investigates the influence of radar parameters, such as polarization, wavelength, acquisition geometry, and environmental conditions, on SAR shoreline accuracy. The results show that higher land–sea backscatter contrast, typical of gravel beaches, and moderate wind conditions enhance detection reliability. Conversely, high wind and wave activity reduce contrast and increase errors.Overall, this work offers robust, scalable tools for high-resolution coastal morphology monitoring in Mediterranean beaches using satellite data. These methodologies could be extended to beaches with significant tides and other related fields such as flood mapping. The developed algorithms could be incorporated into operational platforms like early warning systems or interactive WebGIS applications, potentially significantly contributing to local authorities' adaptive coastal zone management.

DOCTORAL DEGREE IN MATERIALS SCIENCE AND ENGINEERING

AL ZEYADI, NOORA TALIB MOHAMMED: 3D printing of aluminum alloys under different extrusion techniques
Author: AL ZEYADI, NOORA TALIB MOHAMMED
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN MATERIALS SCIENCE AND ENGINEERING
Department: Department of Materials Science and Engineering (CEM)
Mode: Normal
Deposit date: 18/07/2025
Reading date: 17/11/2025
Reading time: 11:30
Reading place: UPC Facultat de Matemàtiques i Estadística Campus Diagonal Sud, Carrer de Pau Gargallo, 14, Distrito de Les Corts, 08028 Barcelona SALA D'ACTES
Thesis director: CABRERA MARRERO, JOSE MARIA | FENOLLOSA ARTÉS, FELIP
Thesis abstract: This doctoral research evaluated the feasibility of using various aluminum-based feedstocks in additive manufacturing (AM) to develop cost-effective and environmentally friendly alternatives to traditional metal fabrication. The study systematically examined AA6061 filament, AlSi10Mg granules (commercial and recycled), and AlSi10Mg powder paste across three AM techniques: Fused Deposition Modeling (FDM), screw-based extrusion, and Direct Ink Writing (DIW). The main objectives were to optimize printing, thermal debinding, and sintering parameters for each feedstock and AM technique, and to assess the resulting mechanical properties and microstructures of the fabricated parts.For printing, AA6061 filament processed via FDM achieved optimal results with a 0.8 mm nozzle diameter at 205 °C. AlSi10Mg granules (commercial and recycled) and AlSi10Mg powder paste, used in screw-based extrusion and DIW respectively, performed best with 0.6 mm nozzles and lower temperatures. These optimizations established critical baseline conditions for subsequent processing steps, emphasizing the distinct requirements of each material and technique.Thermal debinding, essential for removing polymeric binders before sintering, was optimized for each feedstock. For AA6061 filament, 550 °C with holding times up to 3 hours was most effective. For commercial AlSi10Mg granules, 350 °C for 3 hours yielded optimal results, a condition that also worked for recycled granules and powder paste. These parameters minimized defects and prepared the parts for successful sintering.Sintering parameters were rigorously optimized to ensure densification and desired mechanical properties. AA6061 filament was best sintered at 635 °C, while commercial AlSi10Mg granules and powder paste achieved optimal results at 600 °C. Recycled AlSi10Mg granules reached peak performance at 620 °C. All sintering was conducted for 3 hours under a nitrogen atmosphere with vacuum and oxygen traps. SEM analysis confirmed increased densification and uniform microstructures under these conditions.A pre-sintering pressing technique was introduced to further enhance densification and reduce porosity. This step significantly improved the relative density of sintered parts by 19.25–45.55%, with pressed samples achieving densities up to 93.65%. Mechanical testing showed that recycled AlSi10Mg granules provided the highest compressive strength (168.34 MPa), followed by commercial granules, AA6061 filament, and powder paste.

DOCTORAL DEGREE IN MECHANICAL, FLUIDS AND AEROSPACE ENGINEERING

MASSAROTTI, GIORGIO PAOLO: New Dual Steering System in a Compact Tractor
Author: MASSAROTTI, GIORGIO PAOLO
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN MECHANICAL, FLUIDS AND AEROSPACE ENGINEERING
Department: Department of Mechanical Engineering (EM)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 28/11/2025
Reading time: 11:00
Reading place: Sala de Juntes, Ed. TR5, ESEIAAT
Thesis director: GAMEZ MONTERO, PEDRO JAVIER | CODINA MACIA, ESTEBAN
Thesis abstract: In order to achieve optimal controllability in a dual-steering tractor (a four-wheel, iso-diametric tractor equipped with a dual-hydraulic steering system), this thesis proposes a coordinated approach that combines experimental testing (using a special agricultural tractor) with numerical analysis of the entire vehicle, developed in Bond Graph-3D. After an exhaustive review of the scientific literature, it is observed that the compact tractor with dual steering, has not yet been thoroughly analysed. In this thesis, in chapter 1 it is possible to identify the reasons that led to the realization of this long work and the objectives that were set at the beginning. These objectives were born from the understanding of the state of the art relating to double steering in the off-road sector, focusing particularly on the case of a vineyard tractor. All starting from the basics, from the steering which occurs smoothly and through the variants that can be found on the market today. In light of the machine construction information, the model of the studied tractor was introduced, searching the literature for the methods and models that could describe its dynamic behavior. In order to detail the description, the hydraulic circuit chosen based on the requirements listed in chapter 4 was introduced and an analysis to its modeling combined with the dynamic model of the tractor using Bond-Graph was provided. At the same time, experimental tests were carried out with a prototype tractor which incorporated the hydraulic circuitpreviously described, together with the dynamic model of the tractor, also obtained through modeling from the physical machine. The numerical analysis provided results that match very well with the experimental data, providing the key to the "salient" factors that characterize the tractor's steering capacity. A threshold can be set, relative to the vehicle speed, to disable dual-steer mode when a certain speed is exceeded. Based on experimental data, this threshold is set around 8.5 km/h. In conclusion, there are possibilities for future development that would lead the system described to a new circuit capable of appreciating not only the factors that determine the drivability of the tractor, but also of managing possible dangerous conditions for the user.

DOCTORAL DEGREE IN NUCLEAR AND IONISING RADIATION ENGINEERING

MONT I GELI, NIL: Characterization of underground neutron fluxes by experimental measurements, Monte Carlo simulations and improvement of (α,n) nuclear data
Author: MONT I GELI, NIL
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN NUCLEAR AND IONISING RADIATION ENGINEERING
Department: Department of Physics (FIS)
Mode: Normal
Deposit date: 30/09/2025
Reading date: 17/11/2025
Reading time: 12:30
Reading place: Secció d'Enginyeria Nuclear, pavelló C, planta 1, Aula del Màster (porta 31.07)
Thesis director: CALVIÑO TAVARES, FRANCISCO | TARIFEÑO SALDIVIA, ARIEL
Thesis abstract: particularwith the radiation detectors used in scientific research, resulting in a radiationbackground that could become one of the main limiting factors that determines thefeasibility of the measurement. To overcome such a limitation, rare event experimentsin fields such as neutrino physics, direct searches of dark matter, and nuclear astrophysicshave to be carried out in underground laboratories. The rock overburdenshields most of the cosmic radiation, but experiments still require carefully designedradiation shielding to avoid the impact from the underground radiation. This radiationcomes mainly from (α,n) reactions and spontaneous fission processes caused bythe intrinsic radioactivity of the walls of the laboratory. As a consequence, a precisecharacterization of the underground radiation fluxes is crucial for many experiments.Neutrons are one of the main radiation types that affect underground experiments.The High Efficiency Neutron Spectrometry Array (HENSA) is a high-efficiency neutrondetection system that was designed to characterize the neutron flux in undergroundlaboratories. Today, the spectrometer has been used in facilities suchas the Canfranc Underground Laboratory (LSC) in Spain, the underground facilityFelsenkeller in Germany, and the Gran Sasso National Laboratory (LNGS) in Italy.This thesis is focused on the characterization of the neutron flux at LSC, in particularin hall B of the facility named LAB2400. To do that, experimental measurementswith HENSA are combined with Monte Carlo calculations. For more than four years,neutron data were acquired in the same location within hall B. It was found thatthe neutron flux remained stable during the whole measurement, with any possiblefluctuation being smaller than the monthly resolution of the spectrometer. The resultsof HENSA, in particular the magnitude and energy distribution of the neutronflux were also used to asses the impact of such neutrons on the background of theANAIS-112 dark matter experiment, which is located close to the setup of HENSA.In collaboration with the ANAIS team, the impact of underground neutrons on thebackground of ANAIS-112 was found to be negligible. Furthermore, the impact of(α,n) data on Monte Carlo calculations of the underground neutron flux was studied.Recent technical meetings organized by the International Atomic Energy Agency(IAEA) have concluded that there is a need to improve nuclear data on (α,n) reactions.Such reactions are of primary interest not only in underground physics but also infields such as nuclear astrophysics, medical physics, technologies, and non-destructiveassays for spent fuel management applications. To improve the status of the nucleardata, the Measurement of Alpha Neutron Yields and spectra (MANY) collaborationwas formed. The project is based on the use of the currently existing infrastructurein Spain, in particular the α beams produced by the accelerators at CMAM (Centrode Micro-An´alisis de Materiales) and CNA (Centro Nacional de Aceleradores).In the context of the MANY collaboration, the final part of the present thesis dealswith the design and development of a new moderated neutron counter, miniBELEN,to perform measurements of (α,n) production yields and reaction cross sections. Theanalysis of the commissioning measurement using aluminum targets is also discussed.The results obtained are consistent with the existing data in the literature, showingthat miniBELEN is able to perform measurements of (α,n) yields and cross sections.The measurement also produced new data for the cross section of 27Al(α,n)30P foralpha energies greater than 5.5 MeV.
PALLÀS I SOLÍS, MAX: Study of neutron-rich β-delayed emitters relevant for understanding the formation of the r-process rare earth-peak around mass A~160
Author: PALLÀS I SOLÍS, MAX
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN NUCLEAR AND IONISING RADIATION ENGINEERING
Department: Department of Physics (FIS)
Mode: Normal
Deposit date: 30/09/2025
Reading date: 14/11/2025
Reading time: 11:00
Reading place: Secció d'Enginyeria Nuclear, pavelló C, planta 1, Aula del Màster (porta 31.07)
Thesis director: TARIFEÑO SALDIVIA, ARIEL | TOLOSA DELGADO, ALVARO
Thesis abstract: The r-process is responsible for the formation of nearly half of all nuclei heavier than iron. New elements are synthesized via the r-process, involving neutron-rich nuclei characterized by the emission of neutrons following beta decay. Precise network computations are crucial for understanding the astrophysical conditions of the r-process and replicating observed abundance distributions. These calculations rely heavily on data regarding nuclear structure, often based on theoretical estimates for isotopes that are not experimentally accessible. High-precision experimental data for isotopes far from stability play a crucial role in refining nuclear structure models, which, in turn, enhance the reliability of r-process network calculations.In this context, the beta-delayed neutrons at RIKE (BRIKEN) collaboration performed high-precision measurements of the half-lives and neutron emission probabilities of neutron-rich nuclides. The setup consisted of the Advanced Implantation Detector Array (AIDA) placed inside the BRIKEN neutron counter, an array of 3He neutron counters embedded in a polyethylene matrix. The experiment was performed in the Rare Isotope Beam Factory (RIBF) of the RIKEN Nishina Center (Japan).The present thesis is centered on the analysis of the BRIKEN RIBF-148 experiment, specifically for nuclei spanning the range from 146Ba to 162Nd; these are pivotal in the r-process nucleosynthesis of rare-earth elements. The findings of this research include 36 T1/2 values that are consistent with earlier experimental data. Of these, 13 measurements also provide a reduced uncertainty compared to previously reported values. For the P1n study, it was the first experiment in this region, with 22 of the 24 values being new measurements.Additionally, we developed a revised RHB+RQRPA nuclear structure model, incorporating several improvements. The model’s predictive capabilities were enhanced by refining its parameterization with the experimental data presented in this thesis.In the final part of this work, we discussed the preliminary astrophysical impact of these new experimental data and the refined nuclear model on r-process abundances in the REP region through nuclear reaction network calculations.

DOCTORAL DEGREE IN PHOTONICS

KOKABEE, OMID: High-power ultrafast optical parametric oscillators from the visible to mid-infrared
Author: KOKABEE, OMID
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN PHOTONICS
Department: Institute of Photonic Sciences (ICFO)
Mode: Normal
Deposit date: 09/07/2025
Reading date: 11/11/2025
Reading time: 10:00
Reading place: ICFO Auditorium
Thesis director: EBRAHIM-ZADEH, MAJID
Thesis abstract: The introduction of electric lighting in Architecture marked a profound transformation in its design conception, establishing artificial light as a fundamental element in the configuration of space. Unlike other artistic and architectural disciplines, artificial architectural lighting lacks a formalised Art History. Existing specialist literature remains largely focused on technical and quantitative aspects, frequently relegating the qualitative dimensions of light in space to a secondary status. Consequently, there is a notable absence of a specific vocabulary capable of accurately describing the qualitative effects of lighting in architecture. This lexical gap hampers the effective communication of lighting-related spatial concepts, ultimately to the detriment of architectural practice. In light of these challenges, and with the aim of improving both design and pedagogical methodologies, this research advocates for the establishment of a dedicated vocabulary for qualitative architectural lighting. It is predicated on the hypothesis that it is feasible to construct a consensual glossary that enables the precise articulation of the formal and spatial attributes of lighting effects within architectural environments. To substantiate this hypothesis, the research sets out two principal objectives: first, to identify the parameters that define the qualitative aspects of lighting and to compile the associated terminological corpus; second, to develop a lexical and visual dictionary in which each term is clearly defined and illustrated, thereby facilitating its comprehension and application in both academic and professional contexts, and contributing to the standardisation of a specific and practical language.The study adopts a qualitative methodological framework, centred on the linguistic analysis of texts describing architectural lighting projects, which have been published in specialised Spanish-language media. A rigorous, systematic, and replicable terminology methodology has been employed, drawing upon established principles from the field of Terminology studies and related research on lighting perception. The process integrates automated term extraction methods, enabling efficient handling of large data sets, and applies linguistic techniques adapted to the visual domain. The research identifies the principal parameters defining the formal qualities of architectural lighting as direction, colour, and distribution, followed by quantity, luminance, sources, informational content, perceptual effects, and others. Among these, the distribution parameter emerges as the most frequently cited and, thus, the most critical for both configuring and describing architectural lighting. Accordingly, the dictionary focuses on the most recurrent terms related to distribution, listed alphabetically as follows: accent lighting, ambient lighting, composed lighting, diffuse lighting, direct lighting, directed lighting, dispersed lighting, focalized lighting, general lighting, grazing lighting, homogeneous lighting, horizontal lighting, indirect lighting, integrated lighting, precise lighting, projected lighting, reflected lighting, uniform lighting, and vertical lighting. It has been demonstrated that each of these terms can be defined in a manner that supports clear, precise, and intelligible communication within architectural lighting discourse. Furthermore, it is feasible to identify corresponding visual representations that exemplify each definition, reinforcing their pedagogical and practical applicability. In conclusion, this research affirms the viability of developing a consensual glossary of terms to imporve the communication of the formal and spatial characteristics of lighting effects within architectural practice, which constitutes a foundational step toward the recognition and standardisation of qualitative lighting vocabulary in the discipline.

DOCTORAL DEGREE IN POLYMERS AND BIOPOLYMERS

JIN, ANYI: Polyhydroxyalkanoates (PHAs): Processing, Property Modulation, and Biomedical Applications
Author: JIN, ANYI
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN POLYMERS AND BIOPOLYMERS
Department: Department of Chemical Engineering (EQ)
Mode: Normal
Deposit date: 02/10/2025
Reading date: 31/10/2025
Reading time: 11:00
Reading place: Sala Polivante A03 - Edici A EEBE - Campus Diagonal Besós https://eebe.upc.edu/ca/lescola/com-arribar
Thesis director:
Thesis abstract: This doctoral thesis presents a comprehensive study on the structure-property relationships, processing behavior, and functional performance of polyhydroxyalkanoates (PHAs), with the aim of enhancing their applicability as sustainable alternatives to conventional plastics. The work focuses on various PHA-based materials and explores their modification through blending strategies and the incorporation of functional additives. A wide range of processing techniques were employed, including melt compounding, injection molding, ultrasonic molding, solvent casting, and electrospinning. These methods enabled the fabrication of various PHA-based formulations tailored for specific applications. Physicochemical characterization was carried out using nuclear magnetic resonance (NMR), Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), X-ray diffraction (XRD), scanning electron microscopy (SEM), polarized optical microscopy (POM), tensile testing, and synchrotron-based FTIR microspectroscopy (SR-FTIR). These techniques enabled the investigation of molecular structure, crystallization kinetics, morphology, thermal stability, and mechanical properties.The results demonstrate that copolymer composition plays a critical role in defining the crystallinity, thermal behavior, and mechanical performance of PHAs. The incorporation of comonomers such as 3-hydroxyvalerate (3HV), 3-hydroxyhexanoate (3HHx), and 4-hydroxybutyrate (4HB) effectively tuned the material properties. The addition of nucleating agents, such as boron nitride (BN) and poly(3-hydroxybutyrate) (PHB), were found to significantly accelerate the crystallization rate of P3HBHHx without adversely affecting its molecular or thermal stability. Blending P3HBHHx with other biopolymers, such as poly(latic acid) (PLA), poly(butylene adipate-co-terephthalate) (PBAT), poly(butylene succinate) (PBS), and poly(3-hydroxybutyrate-co-4-hydroxybutyrate) (P34HB), further modulated its performance, although compatibility remained a challenge in certain formulations. Biomedical applications were also explored using electrospinning and ultrasonic molding. Drug-loaded poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) nanofibers exhibited tunable release kinetics and antibacterial activity, while P34HB demonstrated excellent processability and thermal resistance under ultrasonic molding conditions. Finally, SR-FTIR microspectroscopy revealed spatial orientation patterns within PHBV spherulites, offering new insights into the molecular organization of PHAs. Overall, this thesis establishes a comprehensive framework for tailoring PHA materials through formulation and processing innovations. It contributes to the scientific understanding and technological advancement of PHAs as viable sustainable material across various sectors.

DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS

BOUDRIKI SEMLALI, BADR EDDINE: Analysis of Helio-Geo-Ionospheric Proxies for Earthquake Risk Prediction
Author: BOUDRIKI SEMLALI, BADR EDDINE
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
Department: Department of Signal Theory and Communications (TSC)
Mode: Normal
Deposit date: 19/09/2025
Reading date: 12/11/2025
Reading time: 10:30
Reading place: Aula de Graus de l'ETSETB
Thesis director: CAMPS CARMONA, ADRIANO JOSE | PARK, HYUK
Thesis abstract: Earthquakes are among the most destructive natural disasters, causing significant infrastructure damage and casualties. Between 1998 and 2018, seismic events resulted in approximately 846000 fatalities and caused economic losses totaling US$661 billion, emphasizing their profound socioeconomic impact. While thousands of earthquakes occur each year globally, only a small number are significant enough to be detected by monitoring systems or felt by people. Although earthquakes cannot be prevented, efforts have been made to reduce their consequences through risk assessment and public preparedness initiatives. Despite these advances, a reliable early warning system for earthquakes remains insufficient. The absence of consistent, deterministic precursors to seismic events is a critical challenge in developing such systems. However, research has identified small detectable geophysical signal anomalies that may appear days to weeks before major earthquakes. These anomalies involve changes in thermal infrared emissions, ionospheric scintillation, disturbances in magnetic fields, etc. While these signals are not usually present, their detection could enhance forecasting capabilities. Remote Sensing (RS) is a promising technique that provides broad spatial coverage, high temporal resolution, and the capability to observe otherwise inaccessible areas, such as oceans, deserts, and mountains. RS systems allow for continuous monitoring of the Earth's surface and atmosphere, enabling the detection of potentially earthquake-related anomalies across the lithosphere, atmosphere, and ionosphere. This Ph.D. thesis studies the use of RS techniques for earthquake precursor detection and their recent advancements. It explores Lithosphere-Atmosphere-Ionosphere Coupling (LAIC), a multidisciplinary framework that explains how seismic stress and rock deformation in the lithosphere can trigger cascading effects in the atmosphere and ionosphere. The thesis also presents results from ongoing research into short- and medium-term earthquake forecasting using Earth observation data. The Ph.D. thesis examines several satellite-derived parameters: Land Surface Temperature (LST) anomalies, Ionospheric Scintillation (IS) indices, geomagnetic field variations, and space weather data. This work aims to contribute to understanding earthquake precursors and seeks to develop practical tools for better predicting seismic events, enhancing mitigation and early warning efforts.
MARTÍNEZ GOST, MARC: The DCT as the Basis for Nonlinear Signal Processing and Task-Oriented Communications
Author: MARTÍNEZ GOST, MARC
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
Department: Department of Signal Theory and Communications (TSC)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 06/11/2025
Reading time: 17:00
Reading place: C4-001PG, EETAC, Campus Baix Llobregat
Thesis director: PEREZ NEIRA, ANA ISABEL
Thesis abstract: This dissertation addresses two fundamental and increasingly connected challenges in modern information processing: nonlinear learning and task-oriented communications. Both fields require compact, interpretable and efficient representations of nonlinear functions. These representations are essential for building learning models as well as for transmitting information relevant to a downstream task. Traditional approaches, often dominated by black-box architectures and data-driven approaches, face limitations in interpretability, scalability and robustness. This motivates the search for structured and principled alternatives.At the core of this work lies the discrete cosine transform (DCT), a classical signal processing tool reinterpreted here as a unifying framework for nonlinear modeling and communication. By leveraging its mathematical properties, such as orthogonality, energy compaction and oscillatory structure, the DCT is shown to offer advantages far beyond its traditional role in image compression. The dissertation explores how the DCT can support both efficient learning algorithms and the design of novel modulation strategies that jointly encode data and computation.The study begins with the integration of the DCT in adaptive learning algorithms for univariate nonlinear functions, where the structural properties of the DCT enable fast convergence and low complexity solutions. This method is successfully applied to the compensation of nonlinearities in wireless communication channels. The approach merges the structure and interpretability of classical signal processing blocks with the flexibility and performance of data-driven methods.The work then extends to multivariate settings through the introduction of the Expressive Neural Network (ENN), a multilayer perceptron that integrates the DCT within its activation functions. This architecture preserves the interpretability of the DCT while enabling expressive and scalable modeling. Thanks to the structure provided by the DCT, even small networks can learn complex nonlinear mappings.On the communications front, the dissertation investigates the emerging paradigm of task-oriented communications, where the focus shifts to transmitting data relevant to a computation task. To this end, the oscillatory nature of the DCT is employed to design modulation schemes that embed computation within the physical waveform. A novel DCT-based modulation is proposed, and classical schemes are revisited through the lens of the DCT, enabling function computation through frequency modulations. These concepts are further extended to multi-user wireless systems, where the DCT guides the design of a new multiple access scheme tailored for federated edge learning (FEEL). This approach offers robust, low-power and efficient aggregation of distributed data for collaborative edge learning.Altogether, this work demonstrates that the DCT, a classical tool introduced nearly 50 years ago, can be revitalized as a foundational building block for modern signal processing. Its structure offers a powerful, interpretable and efficient foundation for addressing contemporary challenges in intelligent information processing. By bridging classical signal processing with contemporary machine learning and communication challenges, the dissertation presents a unified framework for nonlinear representation, learning and communications.
MHATRE, SUVIDHA SUDHAKAR: AI-Enabled Network Slicing and Resource Management for Open and Programmable Next-Generation (6G) Networks
Author: MHATRE, SUVIDHA SUDHAKAR
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
Department: Department of Signal Theory and Communications (TSC)
Mode: Normal
Deposit date: 01/10/2025
Reading date: 30/10/2025
Reading time: 10:00
Reading place: FIB, Sala de Juntes, B6 - planta 1
Thesis director: VERIKOUKIS, CHRISTOS | RAMANTAS, KONSTANTINOS
Thesis abstract: This thesis addresses the emerging challenges in resource management for 6G networks by proposing intelligent, scalable, and explainable solutions using Deep Reinforcement Learning (DRL) and related AI techniques. With the evolution from 5G to 6G, the increasing heterogeneity of applications and services introduces complex requirements in terms of latency, bandwidth, computational efficiency, and end-to-end quality of service (QoS). The research presents a suite of AI-driven solutions for dynamic and adaptive resource allocation tailored to network slicing scenarios in Open and Programmable architectures.The work begins by developing a DRL-based, QoS-aware slice resource allocation framework, integrating user association parameterization for beyond-5G O-RAN environments. A hierarchical DRL model is introduced to manage global-local resource trade-offs efficiently. This is extended by proposing a multi-time scale resource management framework under an AI-as-a-Service (AIaaS) paradigm to serve heterogeneous 6G services.To improve interpretability and trust in automated network operations, the thesis incorporates Explainable Reinforcement Learning (XRL) techniques into RAN slicing and management strategies. Finally, the use of transfer learning in DRL is explored to enhance policy adaptation in intra- and inter-slice domains, accelerating learning and improving performance in diverse and dynamic network conditions.The thesis includes extensive simulations and experimental validation to demonstrate the superiority of the proposed methods in terms of scalability, efficiency, and generalization over state-of-the-art (SOTA) baselines. The overall contributions provide a technically innovative and practically applicable roadmap for intelligent, trustworthy, and adaptive resource management in future 6G wireless systems.
PENG, JILUN: Development of innovative land applications for ESA's HydroGNSS mission
Author: PENG, JILUN
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
Department: Department of Signal Theory and Communications (TSC)
Mode: Article-based thesis
Deposit date: 16/09/2025
Reading date: 31/10/2025
Reading time: 10:00
Reading place: Aula de teleensenyament de l'ETSETB (Mòdul B3 primera planta, Campus Nord UPC)
Thesis director: CARDELLACH GALÍ, ESTEL
Thesis abstract: The research presented in this paper-based dissertation focuses on the development of products for the ESA HydroGNSS mission, including the Level 2 surface inundation algorithm, the exploitation of the coherent channel for the L1B product, and the development of a simplified coherent channel simulator.The first contribution of this work is the development of a water detection algorithm that is applicable to high and low sampling rate data. The integration of two low-sampling rate power-derived observables, the reflectivity and the power spread ratio, enables a more comprehensive characterization of surface properties. And, the incorporation of auxiliary background information mitigates the impact of spatial heterogeneity. The random forest classifier effectively captures nonlinear relationships, achieving results that meet accuracy requirements, with false positives primarily associated with wetland areas. Another advancement is the integration of two high-sampling rate complex-derived observables, one of which is introduced for the first time -- the normalized amplitude (NA). NA remains stable over land and shows minimal sensitivity to changes in coherence integration time. The findings indicate that the NA has greater feature importance than the coherence coefficient (CC), underscoring its relevance for water classification.The second contribution of this work involves an analysis of the impact of the right-hand circularly polarized signal on the water detection algorithm. The normalized power spread ratio in the right-hand circularly polarized signal exhibits a clearer distinction between land and water surfaces and shows higher consistency across various land types compared to its left-hand counterpart. Reflectivity in the right-hand circularly polarized exhibits increased overlap between land and water surfaces, which may negatively impact classification performance. For non-inland water surfaces, the surface type contributes negatively to the output, indicating that higher coherence indicators are required to mitigate its influence. Furthermore, posterior probabilities derived from Bayes’ theorem demonstrate that the combination of normalized power spread ratio and reflectivity enhances classification accuracy by reducing false positives.The third contribution focuses on the exploitation of the HydroGNSS coherent channel. An analysis was conducted to assess the sensitivity of coherence indicators to water surfaces. CC and NA were compared to the `full entropy' metric available in the CYGNSS product. The results indicate that NA exhibits a similar sensitivity to water surfaces as full entropy and remains stable regardless of the coherent integration time. In contrast, the CC demonstrates higher sensitivity to small water bodies but is strongly influenced by the integration time. Additionally, a new variable, high sampling rate reflectivity (HSRR), was developed from normalized amplitude applying a track-wise exponential fit to the low-rate calibrated reflectivity. HSRR exhibits good agreement with both CYGNSS L1 reflectivity and calibrated raw IF reflectivity, further validated through a forward model. To enhance its robustness, a noise threshold based on low sampling rate noise floor was introduced. Adjacent track analyses confirmed that it provides a higher resolution than current 1–2 Hz products, improving its applicability for detailed surface characteristic monitoring.The development of a simplified coherent channel simulator has contributed to better understanding the behavior of this new GNSS-R mode of operation, and is included as an annex. Until now, simulating high sampling rate complex GNSS-R signals reflected over land required complicated models with computationally expensive implementations. Being able to reduce the complexity of the modeling and its implementation and computing time has facilitated the generation of synthetic data that mimic the properties of the coherent channel.
RAFIEIAN, BARDIA: Enhancing Word and Document Embeddings for Natural Language Processing Tasks
Author: RAFIEIAN, BARDIA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
Department: Department of Signal Theory and Communications (TSC)
Mode: Normal
Deposit date: 02/10/2025
Reading date: 21/11/2025
Reading time: 11:00
Reading place: Sala d'actes de la FIB Manuel Martí Recober
Thesis director: VÁZQUEZ ALCOCER, PERE PAU
Thesis abstract: This thesis delves into various aspects of natural language processing, focusing on domain-specific neural machine translation, specialized word embeddings, data augmentation, recommender systems, document embedding techniques, and hierarchical classification with large language models. The work is structured around a couple of key contributions.Chapter 4 introduces a novel data preparation and tokenization method (Hybrid-BTS) for biomedical neural machine translation, alongside a post-specialization technique leveraging Wasserstein GANs to enhance word embeddings with multilingual constraints. Chapter 5 proposes a domain adaptation strategy for biomedical translation involving forward translation, BPE optimization, and term frequency manipulation. It also details the development of two fashion e-commerce recommender systems: one content-based and one collaborative, both integrating practical style rules. Finally, Chapter 6 presents an evaluation of document embedding models (Doc2vec, SciBERT, Longformer, LLaMA-3, GEMMA-2B) for long document classification, and a modular pipeline designed for multi-label hierarchical patent classification using transformer-based models, optimized for efficiency with LoRA and quantization. Collectively, these contributions push the state-of-the-art in both applied and theoretical NLP by providing new methods to boost performance, adaptability, and efficiency in domain-specific and large-scale applications.

DOCTORAL DEGREE IN STRUCTURAL ANALYSIS

VENGHAUS, HENNING: Advanced Finite Element Methods for Metal Forming and Manufacturing Process Simulation: An Application to Friction Stir Welding Analysis.
Author: VENGHAUS, HENNING
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN STRUCTURAL ANALYSIS
Department: Department of Civil and Environmental Engineering (DECA)
Mode: Article-based thesis
Deposit date: 10/09/2025
Reading date: 10/11/2025
Reading time: 12:00
Reading place: Sala Zienkiewich (CIMNE) Building C1, UPC - Campus NorthGran Capitan S/N 08034 Barcelona
Thesis director: CHIUMENTI, MICHELE | BAIGES AZNAR, JOAN | JUHRE, DANIEL
Thesis abstract: This work explores the benefits and challenges of advanced Finite Element Methods for metal forming and manufacturing processes. As these processes become increasingly complex, FEM has emerged as a crucial tool. It helps predict physical quantities, aiding engineers in decision-making and enhancing the efficiency of development and production chains.Metal forming often involves (nearly) isochoric behavior due to plastic deformations, which can cause the standard Finite Method to become unstable. To address the isochoric behavior and ensure local convergence of strains and stresses, this study utilizes mixed finite element formulations, including the displacement-pressure (u/p), displacement-strain (u/ε), and displacement-pressure-deviatoric strain (u/p/e) formulations. To mitigate the high computational cost of the u/ε and u/p/e formulations, the Adaptive Formulation Refinement (AFR) technique is developed. This technique selectively activates the enhanced formulations based on physical criteria or error estimation. The method's accuracy and convergence rate is studied and compare favorably to reference solutions. The method is successfully applied to quasi-brittle structural failure analysis.This work further addresses the practical application of advanced numerical methods to complex manufacturing problems, notably Friction Stir Welding (FSW), which is a solid-state welding technique. FSW is characterized by isochoric deformations, extremely high strain rates, and highly non-linear and temperature-dependent material behavior. An Embedded Finite Element Method is employed to simplify the modeling of complex geometries and moving boundary conditions. It uses a purely Eulerian framework and a discrete level-set function for tool modeling and works directly with CAD tool geometries. The simulation results align well with experimental data. A parameter study of process parameters is carried out to evaluate their impact on welding forces and temperature evolution, demonstrating the tool's usefulness in aiding development processes.To enhance usability, a Graphical User Interface (GUI) is developed for creating simulation input files and managing simulations. Additionally, a particle tracing algorithm is implemented to visualize material flow. This work aims to bridge the gap between academic research and practical engineering applications. It provides advanced, yet robust and efficient numerical tools for simulating metal forming and manufacturing processes.

DOCTORAL DEGREE IN SUSTAINABILITY

LIANG, NA: Design for Sustainability Transitions: Taoist-Inspired Approaches for Systemic Sustainability Transitions
Author: LIANG, NA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SUSTAINABILITY
Department: University Research Institute for Sustainability Science and Technology (IS.UPC)
Mode: Article-based thesis
Deposit date: 19/09/2025
Reading date: 06/11/2025
Reading time: 10:00
Reading place: ETSECCPB - C2 -212 - Sala Conferències
Thesis director: SEGALAS CORAL, JORDI | LIU, XIN
Thesis abstract: In recent years, sustainability transitions have emerged as a critical research focus within sustainability science. This doctoral research explores sustainability transitions through a Taoist-inspired lens, integrating Eastern philosophical insights with systems thinking and leverage point theory. It develops two innovative frameworks—the Deep and Shallow Sustainability Intervention (DSSI) framework and the Transition Intervention Point (TIP) System—to address both deep cultural-paradigmatic shifts and shallow operational adjustments in sustainability transitions. The research progresses across three stages: establishing a philosophical foundation, constructing a theoretical framework, and designing a practical tool. Together, these contributions offer a holistic and strategic approach to sustainability transitions, enriching both theory and practice. The frameworks are being tested in real-world contexts, particularly within an EU-funded rural transformation project, laying the groundwork for future empirical research and application.
MEHABA, WAFA: The effect of promotions on consumer purchasing behavior
Author: MEHABA, WAFA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SUSTAINABILITY
Department: University Research Institute for Sustainability Science and Technology (IS.UPC)
Mode: Normal
Deposit date: 02/10/2025
Reading date: pending
Reading time: pending
Reading place: pending
Thesis director: GIL ROIG, JOSE MARIA
Thesis abstract: The retail industry has long had to contend with a more competitive and complicated environment. Changes in consumer behaviour, market structures, and public health concerns have drastically altered this environment over the last 20 years. Furthermore, the importance of promotional differentiation increased as a result of economic crises, inflation, dwindling consumer purchasing power. Retail sales promotions present significant opportunities to reshape and influence the consumer behaviour. Considering their direct impact on expenditures patterns, it is crucial to understand the multifaceted promotional effects.In this context, the overall objective of this dissertation is studying the effect of sales promotions on consumer purchasing behaviour across different contexts. Three consumer studies were conducted, examining promotional effects on budget allocation, crisis driven behavioural changes and health related policy implications using Homescan data from Kantar Worldpanel. First, the effect of retail sales promotions on the allocation of the household food budget among the items of the shopping basket was investigated in Catalonia, Northeast region in Spain. Using Homescan data from purchases of a supermarket, own and cross-promotion elasticities were calculated using the Exact Affine Stone Index (EASI). Results reveal positive effects of sales promotions on households’ expenditure and mostly a negative asymmetric cross-effect, implying a small but significant budget reallocation.Second, purchasing behaviour changes during crisis periods were analysed using COVID-19 pandemic as a case study. Price sensitivity and promotional responsiveness were examined across different crisis phases and expenditure levels using both fixed effects regression and quantile regression models. Homescan data covering the period the first year of COVID-19 and the year before are used. The results indicate that households exhibit a decreased price sensitivity and reduced promotion responsiveness during the first lockdown followed by increased sensitivity during the new normality period. Additionally, during first lockdown, low expenditure households are more sensitive to prices and promotions than high expenditure households. Third, a cross-country comparative analysis is conducted. The relationship between retail sales promotions and Body Mass Index (BMI) is examined using the EASI demand system, comparing northern (Scotland) and southern (Spain) regions. The analysis focuses on foods High in fat, Sugar and Sodium (HFSS) across different BMI profiles. Findings indicate that consumers with unhealthy BMI exhibit higher sensitivity to price and expenditure changes compared to those with healthy BMIs. Moreover, Scottish households show greater sensitivity to expenditure changes and promotions compared to their Spanish counterparts.The research conducted in this dissertation provides valuable insights to retailers, policymakers, and other stakeholders involved in the food retail sector. The outcomes of this dissertation can guide promotional strategy design, pricing decisions, and policy interventions to meet consumer needs while addressing broader societal concerns including crisis management and public health objectives.
URIOSTE DAZA, SERGIO ALEJANDRO: Advancing Reform of European Union Plant Variety Registration: Institutional, Empirical, and Policy Insights for Sustainable Agri-Food Governance
Author: URIOSTE DAZA, SERGIO ALEJANDRO
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN SUSTAINABILITY
Department: University Research Institute for Sustainability Science and Technology (IS.UPC)
Mode: Normal
Deposit date: 29/09/2025
Reading date: 12/12/2025
Reading time: 12:00
Reading place: Sala de Grados de la ESAB
Thesis director: TAGHOUTI, IBTISSEM | GIL ROIG, JOSE MARIA
Thesis abstract: Plant variety registration is a critical regulatory gatekeeper between the breeding of improved varieties and their farm-level adoption. In the European Union, however, this system is being outpaced by technological advances and sustainability challenges. Legislative reform is now underway to address these shortcomings, aiming to improve the system’s efficiency by integrating new technologies and sustainability criteria into variety testing and fostering greater harmonisation across Member States. Although these reforms are broadly welcomed, diverging positions among stakeholder groups and EU institutions remain unresolved.Bridging these differences will require robust evidence to inform the ongoing negotiations. This thesis responds to this demand by providing an evidence-based assessment of the current system’s inefficiencies and by proposing realistic reform pathways to help reconcile core tensions between regulatory drag and productivity, divergent stakeholder interests, and the gap between policy goals and farm-level realities. To achieve these objectives, this research presents an integrated framework that engages all key actors in variety testing and combines econometric analysis, decision-analytic modelling, and qualitative analysis.Using a large panel dataset on crop registration and productivity, a fixed-effects analysis provides evidence of regulatory drag on productivity gains, particularly for crops subject to Value for Cultivation and Use testing. Evidence gathered from stakeholders explores into the factors behind these regulatory delays and identifies pathways to overcome systemic inefficiencies, including the uptake of enabling technologies and the harmonisation of testing processes.Subsequently, an analysis of contested policy alternatives is conducted using a replicable framework that integrates expert judgment with public input through multi-criteria decision methods and complementary weighting techniques. The results reveal a clear consensus on prioritising the adoption of technological advancements to improve the system's efficiency and accuracy. However, the analysis also exposes disagreements over efforts to harmonise the system and include sustainability criteria in testing procedures, revealing significant heterogeneity among stakeholder groups.To further investigate the contested issue of adding sustainability criteria in variety testing, a farm-level study is presented to elicit the preferences of apple growers in Spain. Using a Discrete Choice Experiment, farmers' preferences for sustainability traits in new apple varieties were elicited and examined in relation to risk behaviours. The results show a positive but heterogeneous demand for sustainability-related traits, with willingness-to-pay shaped by farm characteristics rather than by measured risk attitudes.Together, these findings demonstrate how data-driven and stakeholder-informed reforms can reduce institutional friction by establishing common ground for negotiation on key aspects of the regulation. Both stakeholder priorities and farmers’ demands point toward the need to prioritise technological uptake and design mechanisms that facilitate the delivery of climate-resilient and resource-efficient varieties. Effective stakeholder involvement and continuous evidence generation are essential for the regulatory path forward. By integrating evidence across institutional, technological, and behavioural layers, this research advances the goals of the European Green Deal and the Farm to Fork Strategy and provides a transferable framework for future assessments of agricultural policy and innovation.

DOCTORAL DEGREE IN THEORY AND HISTORY OF ARCHITECTURE

LÓPEZ URIBE, CRISTINA: Arquitectura radical al dominio público. Juan O’Gorman, programa escolar, 1932
Author: LÓPEZ URIBE, CRISTINA
Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
Programme: DOCTORAL DEGREE IN THEORY AND HISTORY OF ARCHITECTURE
Department: Department of History and Theory of Architecture and Communication Techniques (THATC)
Mode: Normal
Deposit date: 19/09/2025
Reading date: 07/11/2025
Reading time: 11:00
Reading place: ETSAB (Escuela Técnica Superior de Arquitectura de Barcelona) - Planta Baja - Sala de Grados Av. Diagonal, 649-651 - 08028 - Barcelona
Thesis director: GARCIA ESTEVEZ, CAROLINA BEATRIZ | ROVIRA GIMENO, JOSE MARIA
Thesis abstract: This dissertation focuses on architect Juan O'Gorman's 1932 program for the construction of elementary schools in Mexico City. The main subject of this thesis is the group of 26 new schools designed by O'Gorman and his team and included in the official book Escuelas primarias, 1932, published in 1933.Although Juan O'Gorman's work has always been present in the historiography of Mexican architecture—particularly his houses—the school program has been little studied. The schools mark a mythical moment in the history of Mexican architecture, in which the architect's social responsibility went beyond the artistic expectations of the discipline. The primary schools, with their extreme and radical rationality, were first rejected by select circles of architecture and then mentioned only superficially by historiography for decades, solely to point them out as a serious mistake. However, these buildings have acquired a mythical aura at certain moments in the history of Mexican architecture. Through a critical and thorough analysis, the thesis aims to bring to light some overlooked aspects of Mexican functionalist architecture, to open up other possible avenues of research, and to construct new interpretations of a specific moment in 20th-century history—the 1930s.The research is based on the analysis and activation of primary sources and archival objects—letters, photographs, bureaucratic documents, pieces of stucco, government memoirs, pigments, promotional brochures, etc.—and on the material reality of the buildings that remain: half of the schools that were built. But, in addition, for the first time, it is based on a series of documents that have come to light after being systematically hidden for decades—although others remain hidden.This analysis stems from the need to explain and unravel the multifaceted reality in which primary schools emerged in 1932. O'Gorman implemented various avant-garde strategies that he used simultaneously in both his best-known houses and schools. Likewise, the analysis reveals a series of coincidences in time that forged a network of political, artistic, social, and cultural relationships around the object of study.The research also analyzes the reasons for the initial rejection of the school program, which can only be explained in its complex political conditions. In turn, these conditions will be analyzed not only as part of a local context, but as interconnected with other far-reaching international conditions—which were political, cultural, and even religious. In this way, the archival material—and the historical phenomena it explains—reveals an intertwined history that requires us to go beyond national borders and show its various transnational relationships. Recognizing the unquestionable vitality and social utility that the schools demonstrate after almost a century in many of the neighborhoods where they were built, the aim is to recover the provocative nature of an architecture that was perceived at the time as too new. The schools were an expression of the rights that had been fought for in Mexico during the revolution and were the repositories of a new communal way of understanding education, in line with the ethical principles of the Mexican leftist intelligentsia. The radical architecture's strategies of rupture, carefully designed and implemented for the most sophisticated members of the Mexican cultural elite, would pass, through school projects, to socializing projects, to the masses and to the “anonymous” characters of the metropolis: girls and boys, mothers and fathers from the poorest neighborhoods learning to help and contribute to the community collectively. The avant-garde's cherished goal of having the masses truly embrace the new architecture may have come true—albeit briefly—in Mexico City in the early 1930s.

Last update: 29/10/2025 05:45:21.