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Why take a doctoral degree at the UPC

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Because of Excellence

The UPC is listed in the main international rankings as one of the top technological and research universities in southern Europe and is among the world's 40 best young universities.

Its main asset: people

Satisfaction with the work of the thesis supervisor is highlighted by 7 out of 10 UPC doctoral students. Support and availability get the best ratings.

Internationalisation

More than half of the students of the UPC’s Doctoral School are international and a third obtain the International Doctorate mention.

 

Graduate employment of a high quality

Almost all UPC doctoral degree holders are successful in finding employment, mostly in jobs related to their degree.

The best industrial doctorate

The UPC offers the most industrial doctoral programmes in Catalonia (a third) with a hundred companies involved.

The industrial setting

The UPC’s location in an especially creative and innovative industrial and technological ecosystem is an added value for UPC doctoral students.

Theses for defense agenda

Reading date: 26/02/2024
  • AGUILAR URQUIDEZ, PAVEL: Impresión 3D cerámica de densidad variable controlada
    Author: AGUILAR URQUIDEZ, PAVEL
    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: 21/12/2023
    Reading date: 26/02/2024
    Reading time: 11:00
    Reading place: Presencial - Sala de Graus ETSAB. Planta Baixa
    Thesis director: PARDAL MARCH, CRISTINA | PARICIO ANSUATEGUI, IGNACIO DE L.
    Committee:
         PRESIDENT: GAUSA NAVARRO, MANUEL
         SECRETARI: LÓPEZ LÓPEZ, DAVID
         VOCAL: NEILA GONZÁLEZ, FRANCISCO JAVIER
    Thesis abstract: This doctoral thesis aims to develop an Additive Manufacturing technique for the production of Ceramic Building Elements with controlled variable density. The research seeks to provide an alternative to the currently available building elements in the construction industry, focusing on the design of construction elements with specific characteristics through the manipulation of porosity.The hypothesis suggests that Additive Manufacturing technologies can be used to produce ceramic materials with controlled variable density, which could replace conventional systems composed of ceramics and complementary layers of different materials. Unlike other works, this proposal allows for the establishment of pore size and connectivity.The work methodology is divided into two complementary parts. On one hand, it focuses on developing the manufacturing means, including hardware and software, while on the other hand, it studies the resulting product, namely, the printed ceramics with variable density. A research, design, and construction process are carried out, which includes different steps such as studying the state of the art in additive manufacturing and materials with gradient function, selecting and constructing a 3D printer, developing a clay extrusion system adapted to the machine, calibrating the manufacturing process, defining porosity limits, creating design strategies, and manufacturing demonstration pieces.The results of this research will have broader implications in the field of architecture and construction. The additive manufacturing technique with controlled variable density will enable the creation of mono-material systems with improved properties, opening new possibilities in the design and construction of building elements. Furthermore, the use of a single constituent material with density variations can contribute to optimizing the management of construction waste and reducing the environmental impact of the industry. This research can also drive the advancement of additive manufacturing in producing materials with gradient function in various sectors, including aerospace and materials engineering.In summary, this doctoral thesis aims to develop an Additive Manufacturing technique for producing Ceramic Building Elements with controlled variable density. The methodology is based on research, design, and construction of manufacturing means, as well as the study of the resulting product. The results of this research will have implications in the design and construction of building elements, as well as in the advancement of additive manufacturing in other industrial sectors.
  • MARTÍNEZ FIGUEROA, GERARDO DE JESÚS: Modeling and Characterization of Single-Phase and Three-Phase Transformers based on Minimum Information
    Author: MARTÍNEZ FIGUEROA, GERARDO DE JESÚS
    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 ELECTRICAL ENGINEERING
    Department: (DEE)
    Mode: Normal
    Deposit date: 22/01/2024
    Reading date: 26/02/2024
    Reading time: 15:00
    Reading place: Sala de Conferències, Edifici TR1, ESEIAAT-UPC
    Thesis director: CORCOLES LOPEZ, FELIPE | BOGARRA RODRIGUEZ, SANTIAGO
    Committee:
         PRESIDENT: DE LEÓN, FRANCISCO
         SECRETARI: CANDELA GARCIA, JOSE IGNACIO
         VOCAL: GARCIA DE BURGOS, BELEN
    Thesis abstract: The main objective of this thesis is to develop and validate simple but sufficiently accurate mathematical models for single-phase and three-phase transformers, by estimating their parameters from simple laboratory tests and field measurements, in particular, from the information obtained from the inrush current. The energizing process of a transformer results in the generation of a high inrush current due to the saturation of the transformer core. This current can cause several problems, such as protections tripping and consequently being out of service. Clearing faults in the transmission network can also lead to transformer saturation. A part of this work aims to develop methodologies for the reduction of these high inrush currents.In the literature, a great effort has been dedicated to the modeling, identification and analysis of electrical transformers. The representation of a transformer can be very complex due to the different types of core configurations and the large number of transformer parameters, as well as the fact that some of these parameters are nonlinear and even frequency dependent. These include core and coil configurations, self and mutual inductances among coils, dispersion fluxes, skin and proximity effects in coils, magnetic core saturation, hysteresis cycles, losses due to eddy currents, and capacitive effects.The materials commonly used in transformer cores, like ferromagnetic materials, exhibit non-linear magnetic permeability, and usually work slightly saturated. The behavior of a non-linear core is given by the relationship between the magnetic field and magnetic induction, known as the magnetization or saturation curve. There are different ways to model the nonlinear operation of a magnetic core, ranging from finite elements to single-valued functions, through especially complex models such as Jiles-Atherton or Preisach hysteretic models.This work is focused on low frequencies models (up to a few kHz), whose parameters reproduce in detail those situations in which the nonlinearity of the magnetic circuit significantly influences its dynamic behavior. For example, inrush current can be predicted, for which modeling or estimation of the residual flux is necessary. The adjustment of the parameters will be based on experimental measurements to which the developed adjustment algorithms will be applied. These measurements will be obtained both in specific laboratory tests and in transient connection records in transformers connected to the distribution network.Although articles on transformers have been published for more than seventy years, the high number of current publications on their modeling and on the problems derived from their non-linear behavior is an indication that the issue has not been resolved satisfactorily and which is still relevant.
Reading date: 29/02/2024
  • PUGLISI, GIUSEPPE MASSIMO: From Barcelona to Vancouver: the use of the green areas along space/time
    Author: PUGLISI, GIUSEPPE MASSIMO
    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, CIVIL AND URBAN HERITAGE AND REFURBISHMENT OF EXISTING BUILDINGS
    Department: (RA)
    Mode: Normal
    Deposit date: 01/02/2024
    Reading date: pending
    Reading time: pending
    Reading place: pending
    Thesis director: PUJADAS GISPERT, ESTER | DE MENDONÇA ESPINHEIRA GOMES, RENATA
    Committee:
         PRESIDENT: CARRA\', NATALINA
         SECRETARI: LLOP TORNE, CARLOS JUAN
         VOCAL: PUGLIESE, MICHELANGELO
    Thesis abstract: The subject of the thesis focuses on landscape, including how it relates to gardens, architecture, the environment, and how different areas are used over space and time. Natural spaces have a high potential to be developed in the new smart cities, and the fusion of the physical environment and digital information is undergoing a fundamental transition. In this, the composition of the landscape can open the way to the renewal of culture, a characteristic searched in the Victorian era and slightly forgotten after the First World War. The characteristics to be considered in green areas planning to maximize the rising of culture can include the use of the same along the various hours of day and night. In this research, the hypothesis is that parks are positively correlated with the establishment of social activities, and provide the opportunity for promoting the release of stress in a behavioral setting. The implication of this study may assist urban and landscape designers, planners, and architects in creating a sociable green environment. After reviewing existing literature in this field and identifying a scientific gap, a set of theoretical frameworks was conducted to facilitate the grasp of notions developed in this study. Afterward, by describing of implemented methods, the process of applying different procedures was explained, including questionnaires and interviews with key figures in the field. Subsequently, the obtained findings were presented and discussion and conclusions were presented, joined with a simulation project presented within the annexes, to visually express the high potentiality discovered with the research. All this, therefore, can be the basis for further research oriented towards a new type of ecological design. The goal is to guide knowledge and innovation in green design through the use of new technologies, going beyond the process of traditional design production. In envisioning the future of urban parks, the study proposes a transformative direction, advocating for parks to evolve beyond recreational spaces into vital hubs for education, culture, sustainability, and technological innovation. The research, conducted in newly built parks in Barcelona compared to Vancouver's model, offers insights into potential new uses for these spaces. Acknowledging its geographical and historical limitations, the study emphasizes its relevance to contemporary parks, highlighting the need for specific studies to explore how modern technologies can be integrated into historic parks: without compromising their heritage value.
Reading date: 04/03/2024
  • BARRERA LLANGA, KEVIN IVAN: Generative models for the automatic recognition of reactive and abnormal peripheral blood cells with diagnosis purposes
    Author: BARRERA LLANGA, KEVIN 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 AUTOMATIC CONTROL, ROBOTICS AND VISION
    Department: Department of Mathematics (MAT)
    Mode: Article-based thesis
    Deposit date: 05/02/2024
    Reading date: pending
    Reading time: pending
    Reading place: pending
    Thesis director: RODELLAR BENEDE, JOSE JULIAN | MERINO GONZÁLEZ, ANNA
    Committee:
         PRESIDENT: IVANOVA RADEVA, PETIA
         SECRETARI: BENITEZ IGLESIAS, RAUL
         VOCAL: ORTEGA RAMÍREZ, JUAN ANTONIO
    Thesis abstract: Clinical pathologists focus on detailed morphological analysis of peripheral blood (PB) cells for the recognition of abnormal cells and contribute to the diagnosis of hematological diseases. While this traditional method is often precise, it requires significant expertise, is time-consuming, and is subject to variability, especially when discerning subtle cell characteristics. In light of these challenges, this dissertation proposes the innovative use of deep learning, specifically convolutional neural networks (CNNs) and generative adversarial networks (GANs), to add objectivity in morphological examination of PB cells. The research is developed through a three-fold strategy. First, a novel GAN-based model standardizes PB cell image visualization across varied staining techniques. Second, optimized CNN architectures are tailored for precise classification of the selected PB cell types, with emphasis on reactive and malignant blood cells. Results indicate that the introduced Stain Normalization Model effectively manages staining variations while preserving cell morphology. Furthermore, CNN models, based on these normalized data, contribute significantly to the automatic recognition of malignant cells. And third, a modular GAN system generates synthetic PB images to enrich model training, particularly of low-prevalence cell data with special diagnostic interest.This research emphasizes the transformative impact of combining the expertise of clinical pathologists with advanced computational strategies. While these systems serve as potent support tools, it is imperative to note that the clinical pathologist retains the ultimate authority in decision-making. The fusion of traditional expertise and modern technology is a promising trend in the present and near future, enhancing both objectivity and efficiency. This study signifies an advance towards the establishment of an integrated system for an automated screening tool for hematological diseases.
  • COLLADOS RODRÍGUEZ, CARLOS: Stability analysis of modern power systems
    Author: COLLADOS RODRÍGUEZ, CARLOS
    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 ELECTRICAL ENGINEERING
    Department: (DEE)
    Mode: Normal
    Deposit date: 18/12/2023
    Reading date: 04/03/2024
    Reading time: 11:30
    Reading place: Aula 28.8 - (Escola Tècnica Superioir d'Engineria Industrial de Barcelona-ETSEIB) Av. Diagonal, 647, Les Corts, 08028 BarcelonaUPC
    Thesis director: GOMIS BELLMUNT, ORIOL | PRIETO ARAUJO, EDUARDO
    Committee:
         PRESIDENT: ANTA MARTINEZ, ADOLFO
         SECRETARI: CEBALLOS RECIO, SALVADOR
         VOCAL: D\'ARCO, SALVATORE
    Thesis abstract: The massive installation of converter-based resources, such as wind and solar photovoltaic power plants and High Voltage Direct Current (HVDC) systems, is resulting in a profound transformation of power systems and their operation. In this context of modern power-electronics-dominated power systems, the converters¿ control will play a key role in their performance and stability. This thesis focuses on the stability analysis of converter-dominated power systems, encompassing both small-signal and transient stability, aiming to understand the fundamental operation and limitations of such modern power systems.First, the two most extended Voltage Source Converter¿s (VSC) control approaches, grid-following (GFOL) and grid-forming (GFOR), are compared via time domain simulations under different disturbances to identify the main characteristics and potential limitations of both control strategies. Regardless of the converter¿s control selected, power system stability must always be ensured, both for small-signal and transient disturbances. In this work, thorough fundamental small-signal analysis are conducted to understand the principles governing network stability in converter-dominated power systems. For this purpose, a methodology to build accurate EMT linear state-space models of large power systems has been implemented. Using these models, a detailed analysis is developed to identify the stability limits of grid-following operation in an essential system, investigating the influence of the VSC¿s controllers on the system stability, revealing the main mechanisms of interaction and identifying the minimum synchronous generation to ensure system stability. This work is later extended to a larger power system with several generators in presence of an HVDC link. To this end, an index-based methodology has been developed, which determines the steady-state, small-signal and transient analysis regions of stability.Additionally, previous publications have proved that grid-forming operation can improve power system stability for high penetrations of converters. In this thesis, a comprehensive study of frequency dynamics in modern low-inertia power systems is provided, revealing that the VSC¿s dominance can be an opportunity to shape frequency dynamics, which can be designed to follow the desired response. However, considering the GFOR converter¿s limitations can lead to synchronisation loss. Therefore, this work analyses the risk of synchronisation loss during frequency excursions for droop-based GFOR converters when active power limitations are considered. In addition, a control modification is proposed to extend the operation frequency range of GFOR converters.Finally, a transient stability study is performed for a future HVDC system that will connect the Balearic power system to the Spanish peninsula. In this realistic scenario, both GFOL and GFOR operation modes are studied, considering several contingencies in the system, such as faults in different locations and line disconnections.

The Doctoral School today

  • 45PhD programs
  • 2131doctoral students 21/22
  • 1591thesis supervisors 21/22
  • 305read theses 2021
  • 982021 thesis with I.M. and/or I.D.
  • 233 I.D. projects (29% from G.C. total)

I.M: International Mention, I.D.: Industrial Doctorate, G.C.: Generalitat de Catalunya