Public display of deposited theses

DOCTORAL DEGREE IN BUSINESS ADMINISTRATION AND MANAGEMENT

• TAGHI ZADEH ANSARI, EHSAN: TALENT MANAGEMENT IN SPANISH SME HOTEL SECTOR
  
  Author: TAGHI ZADEH ANSARI, EHSAN
  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 BUSINESS ADMINISTRATION AND MANAGEMENT
  Department: Department of Management (OE)
  Mode: Normal
  Deposit date: 14/04/2025
  Deposit END date: 29/04/2025
  Thesis director: FERNANDEZ ALARCON, VICENÇ
  Thesis abstract: Hospitality has a great role in economy of Spain as the second most visited country in the world. Human resources (HRs) are the most important resources in this industry. Talented employees can be competitive advantage of hospitality organizations and specially hotels as a key sub-sector of the industry. For managing talents, effective practices should be used for high potential and high performing employees, to fill in key positions. There is still a need to study talent management in certain sectors and small and medium-sized enterprises such as hospitality. Following the research question “Which are the talent management practices in SME hotels?”, we considered various objectives. The first ones describe the meaning of Talent and Talent Management by different hotel stakeholders. After that formal and informal talent management practices were identified in hotel sector. Comparing the different approaches and perceptions for talent management and corresponding practices in hotels was another objective that we followed up. Furthermore, Methodology is a critical part in research. Methodology of our research is empirical inductive and exploratory. Qualitative research was done. The sampling methods were a combination of handpicked, volunteering, and convenience models. We collected data from SME hotel HRs by semi structured interviews. We used platforms such as SABI and LinkedIn to reach the samples of research. The interviews were done based on a defined interview protocol. We used the software of Excel for data analysis. Regarding Ontology and Epistemology of research we can say that our effort was to find out what the truth is about talent management in hotels. What followed led us to search for a suitable method to understand how the impact of talent management is in hotels. Due to the nature of our research, interpretivism was more appropriate among other philosophical research paradigms. On the other hand, we used grounded theory and thematic analysis in the research. We started data analysis by defining demographics and doing initial data analysis including data cleaning, data screening and documentation. Following these steps, detailed data analysis was conducted based on grounded theory and thematic analysis. It is important to note that we have been assured of quality of the research by following the appropriate strategies of Trustworthiness, Validity and Reliability. Regarding the results, we can assert that concepts mentioned in literature review were compared with the results of interviews. We found the commonalities and differences of the concepts. Therefore, we prepared a list of key HR positions in hotels. Characteristics of talented people were discussed. Besides, a classified list of suitable practices for attraction, selection, training and performance of talented employees in hotel sector was provided from the perspective of various stakeholders. Goals of talent management were discussed. Finding people in charge of talent management tasks was another result achieved. In addition, we uncovered the factors influence talent management practices. From our point of view, responding to the research objectives is the most important part of research conclusions. Regarding the implications of the research, hotels especially small and medium sized ones can improve the situation of their talents and increase organization efficiency using the results of this project. The data collected and analysed can help managers to be more aware of the subject and to choose best fit practices in talent positions of their organization. In other words, the results increase job satisfaction and provide talented employees a better work situation. Furthermore, the results from interviews which are not justified in literature review are like new hypothesis that can be studied in the future research. Recommendations for researchers, practitioners and governments is another part we discussed.
  

DOCTORAL DEGREE IN CHEMICAL PROCESS ENGINEERING

• BARBERO DEL RÍO, MANUEL: Estudio de los principales contaminantes en lavandería industrial y diseño de un sistema de reutilización de agua
  
  Author: BARBERO DEL RÍO, MANUEL
  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: Normal
  Deposit date: 24/04/2025
  Deposit END date: 08/05/2025
  Thesis director: DE PABLO RIBAS, JOAN | CASAS GARRIGA, SANDRA
  Thesis abstract: This doctoral thesis has enabled the development of a technological solution for water reuse in the industrial laundry sector. In addition, the emission of microplastics and emerging pollutants associated with this activity has been studied, focusing on strategies that minimise the problems associated with them.The reuse system, whose main technology is ceramic ultrafiltration, and uses foam fractionation and chemical oxidation as post-treatment, achieves a water reuse rate of 86% in unitary washing processes without affecting their final quality. The design process has been carried out in different phases, including analysis of the feasibility of the technologies, laboratory testing and validation at pilot and real scale.Foam fractionation was tested using an aeration column, which achieved surfactant separation rates of up to 70% from water and, as a result, a surfactant-concentrated stream whose reintroduction in subsequent washing processes improved the removal of certain pattern stains by up to 20%.Preliminary ultrafiltration membrane tests allowed the generation of explanatory models of permeate quality and transmembrane flux from a matrix of working pressure iterations for molecular cut-off sizes from 1 to 1400 kDa.For the pilot-scale validation of ceramic membrane ultrafiltration technology, a direct treatment-reuse process was combined and only 23L of mains water was used in each wash. This was implemented in a 13 kg capacity washing machine over 10 processes and demonstrated the greater efficiency of the 15 kDa membranes over the 50 kDa ones for the separation of anionic surfactants (+9%) and COD (+13%). The analysis of the rinsing efficiency showed more stable results with the use of 15 kDa membranes, which is associated with the greater removal of surfactants throughout the reuse cycles, so this pore size was chosen for the final validation of the system.Finally, ultrafiltration was combined with foam fractionation and chemical oxidation using ozone. These last two techniques coexisted in a cylindrical reactor built for this purpose and placed after ultrafiltration, which increased the removal efficiency of anionic surfactants to 91% after 15 minutes of treatment. In addition, a complete elimination of the colour released by the garments was confirmed, thus avoiding the transfer of this colour to subsequent washing processes.The emission of microplastics during the washing of garments throughout their useful life was estimated at 7,957,942 microfibres per kg of clothing washed. 44% of these microparticles are emitted during the first 5 washes and their emission can be substantially reduced with washing programmes with low mechanical action.The study of emerging contaminants in industrial laundry has shown the presence of this type of compounds in the wastewater generated. These would migrate from the fabrics where they are deposited or impregnated, to the water used in the washing process and would then be discharged into the sewage system. In total, 27 compounds of different types have been detected, such as disinfectants, medicines, antibiotics, drugs of abuse, pesticides and insect repellents. Hospital laundry has been found to be the sub-sector in whose water the highest concentrations and a greater variety of micropollutants have been detected, followed by hotel laundry and work clothes laundry. The elimination of this type of contaminant has been validated with a treatment system, achieving yields of over 98% for most of the compounds studied.
  
• PACHECO LÓPEZ, ADRIAN: Integrating modeling, synthesis, and knowledge management to support strategic decision-making toward the Circular Economy paradigm
  
  Author: PACHECO LÓPEZ, ADRIAN
  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: Normal
  Deposit date: 16/04/2025
  Deposit END date: 02/05/2025
  Thesis director: GRAELLS SOBRE, MOISES | SOMOZA TORNOS, ANA
  Thesis abstract: This thesis tackles some of the most urgent global issues we face today: waste accumulation, resource scarcity, and climate change. The focus is on applying sustainable practices through models like Industrial Symbiosis (IS) and the Circular Economy (CE). Traditional linear economic models have hit a limit, and this research proposes a solution to optimize resource use and waste management. The central goal of this work is to develop a Decision Support System (DSS) to help identify and assess the most effective routes to convert waste into resources, particularly focusing on plastic waste, but with applications to other materials, too.Chapter 1 discusses how demographic and industrial trends are accelerating problems like waste accumulation, resource shortages, and climate crises. It emphasizes the urgent need to adopt models like CE and IS to reduce material consumption and waste generation. While implementing CE comes with challenges—such as figuring out the best ways to convert waste into valuable products—this chapter introduces the development of a DSS designed to support informed, rigorous decision-making for sustainable resource management.Chapter 2 dives into the methods and tools used to create the DSS. It introduces Process Systems Engineering (PSE), a crucial field for understanding and developing sustainable production processes. PSE uses tools like process modeling, simulation, and optimization to design more efficient and sustainable systems. This chapter explains how these tools can be applied to address the challenges of CE and help design sustainable processes.Chapter 3 presents a proof of concept for the application of CE, focusing on alternative fuels made from plastic waste. A techno-economic and environmental assessment compares plastic waste-derived fuels with traditional ones like diesel and gasoline. The results show that pyrolysis oil from plastic waste has a lower environmental impact and production cost compared to diesel. However, for gasoline substitutes, bioethanol and ethanol from plastic pyrolysis have mixed results. These findings highlight the potential of plastic waste conversion technologies, although more research is needed to improve fuel quality.Chapter 4 focuses on generating and evaluating new waste-to-resource routes, particularly for plastics. Using an ontological framework for more efficient knowledge management, this chapter creates a system to identify, generate, and classify processing alternatives for the upcycling of waste. The framework helps find the best ways to close material loops, and chemical recycling emerges as a promising option to reduce the environmental impact of plastic waste.Chapter 5 shows how an integrated set of tools was developed to design, model, and optimize waste conversion processes. Using methods like graph theory, network optimization, MCDM, and multi-objective optimization, the system helps identify and assess the best waste treatment routes. A case study on plastic waste highlights that chemical recycling for the recovery of raw materials could be a promising option from both an economic and environmental perspective.Chapter 6 concludes by summarizing the development and validation of the DSS. The thesis shows how the framework was successfully validated through case studies focused on plastic waste recovery, proving its effectiveness in closing material loops and supporting sustainable practices within the circular economy.
  

DOCTORAL DEGREE IN COMPUTER ARCHITECTURE

• PAVÓN RIVERA, JULIÁN: Turbo-boosting Vector Architectures For Applications With Irregular Memory Access Patterns
  
  Author: PAVÓN RIVERA, JULIÁN
  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: 24/04/2025
  Deposit END date: 08/05/2025
  Thesis director: CRISTAL KESTELMAN, ADRIAN
  Thesis abstract: Since we are reaching the boundaries of the trifecta of Von Neumann architectures, Moore’s Law and Dennard’s scaling, both software developers and hardware architects are forced to find better and novel approaches to exploit parallelism to improve the processing time of commodity and High Performance Computing (HPC) CPUs on the vast amount of data generated daily.As Von Neumann architectures, Moore’s Law, and Dennard’s scaling near their limits, new strategies are needed to improve the performance and efficiency of CPUs for data-intensive workloads. While ILP and TLP are widely explored, there is still untapped potential in Data-Level Parallelism (DLP), which vector architectures leverage via SIMD execution. These architectures perform well in workloads with regular memory access, such as dense linear algebra or image processing. However, many modern applications—including sparse linear algebra, databases, and genome analysis—exhibit irregular access patterns, leading to poor performance on commercial vector systems like AVX-512 and ARM SVE.Irregular workloads face three main challenges: (i) large memory footprints that cause frequent off-chip accesses and memory-bound behavior, (ii) underutilized memory bandwidth due to poor spatial locality, and (iii) low ILP and vector unit underutilization from fragmented access patterns. This thesis addresses these issues by introducing three vector acceleration frameworks tailored to these domains: VIA, VAQUERO, and QUETZAL.We begin with sparse linear algebra, where indirect accesses and sparsity hinder performance despite software optimizations like tiling. To address this, we propose VIA, a vector architecture with a tightly-coupled scratchpad memory that enhances locality and bandwidth utilization. VIA improves performance in key kernels (e.g., SpMV, SpMM) over leading libraries.Database workloads share irregularity but involve larger working sets and rely on different locality techniques. These patterns limit VIA’s effectiveness. We therefore propose VAQUERO, a vector accelerator with a scratchpad coherent with the CPU cache, enabling efficient processing of large-scale queries like joins and aggregations.In genome sequence analysis, long-read technologies demand high-throughput, low-latency processing. These workloads involve highly irregular and unaligned memory access, often with compacted data formats. To address this, we present QUETZAL, a vector architecture with hardware support for unaligned accesses and new vector instructions optimized for sequence alignment and edit distance computation.All three accelerators are implemented at RTL and synthesized for a 7nm node. VIA achieves a 5.5x speedup in sparse algebra, VAQUERO a 2.7x speedup in databases, and QUETZAL a 5.7x boost in genome analysis, all with only ~1% area overhead. Together, these designs show how targeted architectural innovation can close the performance gap for irregular workloads across key computational domains.
  

DOCTORAL DEGREE IN COMPUTING

• FLORES HERRERA, JAVIER DE JESÚS: A Framework to Operationalize and Automate the Data Integration Lifecycle
  
  Author: FLORES HERRERA, JAVIER 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 COMPUTING
  Department: Department of Computer Science (CS)
  Mode: Normal
  Deposit date: 14/04/2025
  Deposit END date: 29/04/2025
  Thesis director: ROMERO MORAL, OSCAR | NADAL FRANCESCH, SERGI
  Thesis abstract: Data plays a key role in today’s world. Many organizations collect and store massive amounts of data from many different data sources. As a result, these data collections show a diversity in structure and semantics that grows as the data sources expand and evolve. These factors challenge traditional data management methods, which depend on fixed structures and stable conditions. There is a mismatch between old assumptions and new realities, where it is not enough to just collect data and run conventional tools. Instead, we must rethink how we integrate data to support high variety, handle large-scale collections, and accommodate new available data. This PhD thesis proposes innovative and advanced techniques to support and automate the data integration lifecycle. First, we describe how to represent and standardize data sources using graph-based schemas. These schemas provide a solid foundation for all steps of the data integration lifecycle. Next, we introduce an integration method that leverages graph-based schemas to add new data incrementally without disrupting existing integration structures. This approach ensures that data integration remains flexible and scalable as organizations grow. We also help users find the right datasets to integrate. By focusing on data discovery, we reduce the time spent exploring irrelevant data sources and suggest relevant ones for integration. To this end, we focus first on facilitating the discovery of joinable attributes among datasets. We propose a new qualitative metric and use data profiles and learning models to decide which attributes are worth joining. To further enhance data discovery, we introduce contextual pre-filtering. Using data profiles and graph-based schemas, we can focus on promising datasets before applying data discovery tools. This pre-filtering step not only boosts the accuracy of existing data discovery tools but also optimizes their performance by narrowing the search space. In summary, this thesis helps bridge the gap between conventional data methods and modern, diverse data ecosystems. The results contribute to the field of data integration by offering scalable and automated solutions that match the changing needs of data integration today.
  

DOCTORAL DEGREE IN ENVIRONMENTAL ENGINEERING

• PASTOR LÓPEZ, EDWARD JAIR: Nature-based solutions to reduce the spread of antibiotics and antimicrobial resistance genes in aquatic ecosystem
  
  Author: PASTOR LÓPEZ, EDWARD JAIR
  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: Article-based thesis
  Deposit date: 14/04/2025
  Deposit END date: 29/04/2025
  Thesis director: MATAMOROS MERCADAL, VÍCTOR | ESCOLÀ CASAS, MÒNICA
  Thesis abstract: Antibiotics (ABs) are antimicrobial agents whose production and consumption have increased exponentially since the discovery of penicillin in 1929. The overuse of ABs has driven the emergence of antibiotic resistance, leading the frequent detection of ABs and antimicrobial resistance genes (ARG) in aquatic environments, primarily due to wastewater treatment plants (WWTP) effluent discharge despite regulatory efforts. Additionally, prolonged extreme weather conditions, such as droughts, intensify this issue by reducing water availability, threatening aquatic ecosystems and human health. Although advanced water treatment technologies, such as ozonation or membrane-based systems, can remove these pollutants from wastewater, their high cost of construction and maintenance, limited their widespread implementation. Alternatively, Nature-Based Solutions (NBS) have emerged as a potential option due to their cost-effectiveness and their potential capacity to remove a wide range of pollutants. However, studies on the reduction of ABs and ARGs in full-scale on NBS applied to wastewater treatment or river streams remain limited.This PhD dissertation is presented as a compendium of publications and evaluates the effectiveness of NBS in reducing ABs and ARGs in wastewater. First, a review study explored the capacity of NBS to reduce the presence of ABs, ARGs and pathogens across diverse aquatic environments spanning secondary wastewater treatment to estuarine areas and saltmarshes (Chapter II – DOI: 10.1016/j.scitotenv.2024.174273). Second, the performance of two full-scale configurations of constructed wetlands (CW) as tertiary wastewater treatment systems were monitored during the summer and the winter seasons to assess the reduction of ABs and ARGs (Chapter III – DOI: 10.1016/j.watres.2024.122038). Their effectiveness were compared with a conventional tertiary wastewater treatment technology system. Third, the impact of wastewater effluent-dominated stream renaturalization on the reduction of ABs and ARGs across seasonal variations was assessed by monitoring a vegetated and less vegetated stream during both warm and cold periods (Chapter IV – DOI: 10.1016/j.envres.2025.120910).The findings presented in this doctoral research project demonstrate that NBSs are potential alternatives for water treatment management in river basins. CWs as tertiary wastewater-treatment systems have shown the capacity to improve the general water quality parameters and remove ABs and ARGs. In addition, unlike conventional systems, those systems promote a shift in microbial composition towards a more natural profile and reduce the ecotoxicological and resistance selection risks more than a conventional tertiary WWTP. Furthermore, vegetated streams with meanders have shown to increase the degradation kinetics of ABs and the attenuation of ARGs, foster gradual changes in bacterial community structures and decrease the ecotoxicological and resistance selection risks, especially during the warm period. Further research should keep focusing on evaluating novel full-scale NBS configurations, identification of the transformation products (TPs) as well as other aquatic micropollutants, quantification of diverse ARGs and assessing the ecological status of the water.
  

DOCTORAL DEGREE IN PHOTONICS

• AMUAH, EMMANUEL BAFFU: Probing structural coherence across a light-induced double phase transition
  
  Author: AMUAH, EMMANUEL BAFFU
  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: 14/04/2025
  Deposit END date: 29/04/2025
  Thesis director: WALL, SIMON ELLIOT | JOHNSON, ALLAN STEWART
  Thesis abstract: Strongly-correlated materials have emerged as one of the most active areas of research in Condensed Matter Physics. Interests in these materials arise mainly from the pliability of their properties, offering the possibility of tailoring these materials for specific applications. This is, in turn, due to the rich interplay of interactions between electronic, orbital and lattice degrees of freedom. This complex coupling of the different degrees of freedom, on the other hand, makes strongly-correlated materials difficult to understand.Ultrafast spectroscopy offers the possibility of resolving this bottleneck and provides insight into aspects of correlated materials crucial for enhancing our understanding of these materials. One such aspect is photoinduced phase transitions, where light drives a symmetry change in a material. To date, research has focused on using light to force materials to cross a single structural transition. In this work, we investigate the possibility of making multiple phase jumps with a single pulse of light. A suitablesystem for such study is the manganite, Pr0.5Ca1.5Mn04, which despite its prospects remains less explored. This layered manganite exhibits multiple phase transitions of electronic, orbital and structural origins, as a function of temperature. The presence of more than one phase transition in Pr0.5Ca1.5Mn04 allows us to examine the possibility and mechanism of multi-phase transition, an aspect of photoinduced phase transition that has hitherto not received much attention. The physics of the manganites is strongly dictated by the dynamics of Jahn-Teller phonons, which occur at a very high frequency (>15 THz). Studies involving these phonons thus call for setups with a very high time resolution.This thesis first discusses the construction of a novel setup that makes use of few-cycle pulses from the visible to the near infrared wavelength regions. Then, leveraging on the capabilities of this setup, we undertake ultrafast measurements on Pr0.5Ca1.5Mn04 in two parts: the linear and nonlinear pumping regimes. In the linear regime, we perform broadband, low-fluence measurements to characterize the sample. From this, we identify key structural and electronic changes that occur during the thermal transition pathway, allowing us to map out the sample into different symmetry regions, in agreement with literature. In the nonlinear pumping regime, we study the fluence dependence of the changes identified from the linear regime. By analyzing the coherent lattice response, we find indications of both single and double phase transitions occurring.
  

DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS

• DÍEZ GARCÍA, RAÚL: New Methods for Radio Frequency Interference Mitigation in Microwave Radiometry
  
  Author: DÍEZ GARCÍA, RAÚL
  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: 24/04/2025
  Deposit END date: 08/05/2025
  Thesis director: CAMPS CARMONA, ADRIANO JOSE
  Thesis abstract: Radio Frequency Interference (RFI) has emerged as the most critical challenge to the effective exploitation of the microwave spectrum for Earth observation. RFI consists of non-natural emissions that obscure the radiometric signals measured by microwave radiometers. The presence of RFI degrades the accuracy and completeness of radiometric measurements. This is evident, for example, in the European Space Agency’s (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, which, despite operating in the protected L-band, is severely affected by interference. This PhD thesis presents innovative approaches to mitigate this issue, with a particular focus on Synthetic Aperture Interferometric Radiometers, which have been insufficiently studied in the context of RFI.This PhD thesis introduces several novel RFI detection and mitigation techniques, including autocorrelation-based detection, non-linear decomposition using Empirical Mode Decomposition (EMD), and data-adaptive mitigation via the Karhunen-Loève Transform (KLT). These methods address some of the limitations of existing approaches and have been evaluated with simulated data using standard performance metrics. Furthermore, a new algebraic interpretation of mitigation is provided, bridging the gap between RFI detection and signal transformation methods, and introducing novel performance evaluation metrics.In addition to the theoretical contributions, this thesis includes experimental validation of the proposed techniques using real-world data. The practical feasibility and performance of whiteness-based detection and KLT-based mitigation techniques are demonstrated in realistic scenarios. The research also explores the effects of signal quantization on mitigation techniques, a relevant concern for digital radiometer implementations.
  

DOCTORAL DEGREE IN SUSTAINABILITY

• LEDUCHOWICZ MUNICIO, ALBA: Multicriteria methodology for assessing the sustainability of last-mile electrification programs
  
  Author: LEDUCHOWICZ MUNICIO, ALBA
  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: 14/04/2025
  Deposit END date: 29/04/2025
  Thesis director: DOMÉNECH LÉGA, BRUNO | FERRER MARTI, LAIA
  Thesis abstract: The sustainability-driven global energy transition requires ensuring universal access to electricity, particularly in last-mile rural areas. Renewable-based energy access programs are pivotal for fostering development, empowerment, and climate resilience in these regions. However, comprehensive assessments of past efforts are crucial to avoid repeating mistakes and ensure operational success of these initiatives. Likewise, it is particularly important to consider the durability and impact of the implemented solutions in terms of development and gender equality. This PhD thesis aims to address these gaps by developing multi-criteria procedures for a holistic sustainability assessment of last-mile electrification initiatives in emerging economies, while also extracting lessons from real-world case studies. The research first analyses the local energy transition for two historically marginalized populations: indigenous and traditional communities. It also assesses large-scale electrification programs in Brazil and Venezuela, and subsequently evaluates the operation and region-wide impacts in three Brazilian states. Additionally, a framework using gender data and sex-disaggregated data is proposed to ensure gender-responsive electrification initiatives, with case studies from three Brazilian municipalities. These phases underscore the importance of tailored multicriteria decision-making analysis frameworks that consider local contexts, stakeholder preferences, and inclusive perspectives. Assessment of last-mile electrification outcomes reveals the transformative potential of renewable energy solutions, emphasizing the need for systemic and integrated approaches and multi-stakeholder collaboration to achieve Sustainable Development Goals. This analysis serves as a guide for last-mile electrification promoters to synergistically address sustainable design, operational durability and long-term local development that leaves no one behind.