جستجوی استاد راهنمای دانشگاهی

• High-Performance Computing
• Reconfigurable Computing
• FPGA Acceleration
• +۷ مورد دیگر

Carlos Alvarez Martinez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture at the Barcelona School of Informatics (FIB). He is a key member of the Programming Models (PM) research group and collaborates closely with the Barcelona Supercomputing Center (BSC). His research focuses on high-performance computing, FPGA acceleration, task-based programming models like OmpSs, and hardware-software co-design for heterogeneous systems. His research interests center on advancing parallel computing through innovative programming models and hardware acceleration. He investigates efficient task scheduling, resource management in multicore and FPGA-based systems, and runtime support for dataflow models. His work enables high-performance execution of complex applications in domains such as scientific computing and cyber-physical systems. He actively contributes to European initiatives like TEXTAROSSA and AXIOM, aiming to develop next-generation exascale supercomputing technologies. The trend in his recent publications shows a strong focus on leveraging FPGAs for HPC, optimizing SpMV operations, improving task scheduling with hardware support, and developing frameworks for multi-FPGA clusters. His work consistently bridges theoretical models with practical implementations, emphasizing performance, scalability, and energy efficiency in heterogeneous computing environments. Scientific Awards: Premi UPC al Compromís Social 2019 Premi Disseny per al Reciclatge 2013 Alvarez Martinez has advised or collaborated with several doctoral students, including Jaume Bosch, Xubin Tan, and Fahimeh Yazdanpanah. He has been involved in numerous competitive R&D projects, often related to high-performance computing and parallel programming models. His work includes significant contributions to educational innovation, particularly in active learning methodologies and formative assessment using interactive systems. He leads and participates in research labs and teams focused on programming models and computer architecture, notably the PM group at UPC/BSC. These teams develop runtime systems, compilers, and hardware accelerators to push the boundaries of parallel computing efficiency and programmability.

• Space Systems Engineering
• Computer Architecture
• Embedded Systems
• +۵ مورد دیگر

Pablo Parra Espada is an Associate Professor at the Department of Automática, University of Alcalá (Spain), affiliated with the Space Research Group (SRG-UAH). He holds a PhD from the University of Alcalá (2012) titled Integración de tecnologías de desarrollo y análisis basadas en componentes bajo un enfoque multi-plataforma , supervised by Dr. Sebastián Sánchez Prieto and Dr. Óscar Rodríguez Polo. His research focuses on space systems engineering , particularly in RISC-V processor design , embedded systems , and model-driven engineering . Key areas include hardware-software co-design for satellite systems, real-time computing, and fault-tolerant architectures. He has contributed to the Solar Orbiter mission through work on the Energetic Particle Detector (EPD) and its on-board software validation. His recent work emphasizes virtualization techniques for LEON processors, FPGA-based digital beamforming , and spaceborne phased array systems . He also explores model-driven approaches for automated configuration of ground support equipment. His interdisciplinary contributions bridge computer architecture with aerospace applications. Prof. Parra Espada has published extensively on topics such as hardware performance monitoring, memory management units for satellites, and system-level verification of space software. His work combines rigorous engineering methodologies with cutting-edge technologies to address challenges in space instrumentation and embedded systems.

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +۷ مورد دیگر

Miquel Moreto Planas is a Senior Lecturer in the Department of Computer Architecture at the Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing. His academic profile is deeply rooted in computer architecture and high-performance computing, with a strong emphasis on practical and theoretical advancements in multicore systems, memory management, and hardware acceleration. His research interests span a wide range of topics including computer architecture, high-performance computing, multicore and manycore systems, cache and memory management, hardware acceleration for genomics and AI, RISC-V processor design, processing-in-memory, interconnection networks, and real-time systems. These interests are reflected in his extensive publication record and collaborative projects. The most recent articles highlight a significant trend toward interdisciplinary research, particularly the application of advanced computer architecture techniques to bioinformatics and healthcare. Key themes include the acceleration of genomic sequence alignment using novel hardware such as processing-in-memory, the development of benchmarks for ARM-based HPC systems in genomics, and the creation of AI-based 3D decision support tools for neurosurgical applications. His work also continues to advance core computer architecture topics like cache management, power-aware resource allocation in heterogeneous systems, and the design of secure, post-quantum cryptographic hardware based on RISC-V. Fulbright Award 2011 HiPEAC Paper Award HiPEAC Paper Award 2024 HiPEAC Paper Award Moreto has been a principal investigator or key contributor to multiple competitive R&D+i projects, such as the STRATUM project for neurosurgical tools, REDIOH for open hardware, and the Laboratorio Zettaescala de Barcelona. He has advised several doctoral students, including López, G., Kostalampros, I., and Haghi, A., and is a core member of the CAP (High Performance Computing) research group at UPC. His work is characterized by strong collaborations with leading researchers like Mateo Valero, Eduard Ayguadé, and Jesús Labarta, often bridging the gap between UPC and BSC-CNS. His laboratory and team affiliations are centered around the CAP group and the Barcelona Supercomputing Center, where he contributes to cutting-edge research in high-performance and embedded computer architectures. His recent work on the BIMSA accelerator and the STRATUM project demonstrates a clear future direction toward applying high-performance computing solutions to critical problems in genomics and medicine.

DAVID LOPEZ VILARIÑOمشاهده پروفایل

استاد

• Computer Architecture
• Computer Vision
• FPGA Acceleration
• +۳ مورد دیگر

David Lopez Vilariño is a **Professor** at the **University of Santiago de Compostela**, affiliated with the **Department of Electronics and Computing** within the **Faculty of Physics**. He earned his PhD in 2001 with a thesis titled *"Active contours at the pixel level: design and implementation on cellular network architectures,"* advised by Dr. Diego Cabello Ferrer. His research focuses on **Computer Architecture**, **FPGA Acceleration**, **LiDAR Data Analysis**, and **Embedded Systems**, with notable contributions to LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He is part of the **ARQCOMP (Computer Architecture)** and **Artificial Vision** research groups. His work spans topics such as high-performance computing, parallel processing, and hardware optimization for vision-capable systems. Key projects include developing FPGA-based solutions for real-time video surveillance, retinal vessel analysis, and autonomous navigation systems. Publications emphasize **LiDAR data processing**, including algorithms for road detection, power line characterization, and 3D point cloud analysis. He also pioneered tools like the *Open Lidar Visualizer and Analyser* for 3D stereoscopic visualization. His expertise bridges hardware design and software development, particularly in leveraging FPGAs for embedded vision systems. No scientific awards or grants are explicitly listed, but his prolific publication record highlights sustained innovation in computer vision and geospatial technologies. His research team collaborates on projects involving manycore systems, GPU acceleration, and reconfigurable computing architectures.

• Power Electronics
• DC-DC Converters
• Photovoltaic Systems
• +۷ مورد دیگر

Clara Marina Sanz Garcia is an Associate Professor in the Electronic Technology Department at Charles III University of Madrid (UC3M). She is a member of the Electronic Power Systems Group (GSEP) and teaches courses in Electronics, Mechanical Engineering, and Telecommunications. Her research focuses on power electronics with applications in photovoltaic systems, electric vehicles, and aerospace power systems. Dr. Sanz Garcia's research spans multiple critical areas of power electronics including DC-DC converters, photovoltaic systems integration, solid-state power controllers, and impedance modeling. Her work demonstrates particular expertise in converter topologies for renewable energy applications, with numerous publications on specialized converter designs like the AFZ converter, autotransformer forward-flyback converter, and Buck-Boost Modified Series Forward converter. She also has significant contributions in hardware-in-the-loop simulation techniques and digital control implementations using FPGAs. Her recent publications reveal a strong trend toward practical implementation of power electronic systems with a focus on stability analysis, control strategies, and system integration. The research consistently bridges theoretical modeling with practical applications, particularly in renewable energy systems and transportation electrification. Many of her papers address the challenges of integrating power electronic converters into larger systems, with special attention to stability issues that arise in cascaded converter architectures. Convertidor CC-CC reductor y elevador, método de conversión CC-CC, y planta fotovoltaica que incorpora dicho convertidor (2019) Active control procedures for the connection of very capacitive loads using SSPCs (2017) Active control procedures for the connection of very capacitive loads using SSPCs (2014) Método y dispositivo de transformación de corriente continua en corriente alterna (2014) Método y sistema de alimentación de una carga constituida por una pluralidad de cargas elementales, en particular de LED (2013) Dr. Sanz Garcia has supervised at least one doctoral thesis on novel converter families for photovoltaic applications and has been principal investigator on multiple research projects including 'Estrategias de modelado y control para la estabilización de la InterCONEXión de convertidos electrónicos de POTencia' (2018-2021) and 'SMARTMOD-Habilitación de funciones inteligentes en convertidores de potencia modulares para la movilidad eléctrica' (2022-2025). She has secured funding from diverse sources including the Ministry of Economy, European Commission, and industry partners like Siemens Healthcare. She leads research within the Electronic Power Systems Group (GSEP), focusing on power converter design, stability analysis, and applications in renewable energy systems and transportation electrification. Her team works on both theoretical modeling and practical implementation, with strong connections to industry applications in aerospace, railway systems, and medical equipment.

• Applied Electromagnetics
• Computational Electromagnetics
• Metamaterials
• +۹ مورد دیگر

Francisco Javier Falcone Lanas is a Professor in the Department of Electrical, Electronic and Communication Engineering at the Public University of Navarre. He is affiliated with the Institute of Smart Cities and leads research in the Communication, Signals and Microwaves research group. He also participates in the Doctoral Program in Communications Technologies, Bioengineering, and Renewable Energy. His research focuses on applied and computational electromagnetics, with specializations in: Analysis and design of complex electromagnetic media and metamaterials Design of communication devices (filters, diplexers, couplers, antennas) Implementation of devices on flexible/paper substrates Wireless power transfer systems Computational electromagnetic code development (FDTD, 3D Ray Launching, Radar RCS) Implementation of devices for PLMN, WSN, LPWAN and Radar systems Radioelectric analysis at physical layer and system level His recent publications demonstrate a strong focus on millimeter-wave technology, MIMO antenna systems, 5G/6G communications, and wireless sensor networks. His work often addresses optimization challenges related to energy consumption, interference handling, and capacity/coverage in communication systems. He has made significant contributions to the fields of metamaterials and their application in antenna design and performance enhancement. With an H-index of 58 in Scopus, Professor Falcone Lanas has established himself as a leading researcher in his field. His research has practical applications in various domains including: 5G/6G mobile communication systems Wireless body area networks Vehicle-to-everything (V2X) communications Wireless sensor networks for industrial applications Digital twin modeling for UAV communications Earthquake disaster management systems

Eugenio Miguel Isern Riutortمشاهده پروفایل

مدرس ارشد

• Microelectronics
• Integrated Circuit Testing
• Sensor Design
• +۵ مورد دیگر

Dr. Eugenio Miguel Isern Riutort serves as a Senior Lecturer in the Department of Electronic Technology within the School of Industrial Engineering and Construction at the University of the Balearic Islands (UIB). His academic profile shows active engagement across multiple degree programs including Automation and Industrial Electronic Engineering, Telematics Engineering, and the Master's Degree in Industrial Engineering, where he teaches core courses in Analogue Electronics, Electronic Instrumentation, and related subjects. Beginning his research career in January 1991 with a pre-doctoral scholarship from the Ministry of Education and Science at the Polytechnic University of Catalonia, Dr. Isern Riutort has established three primary research domains. His foundational work focuses on test and verification methodologies for integrated circuits, where he has developed techniques for fault detection through current consumption analysis (both static IDDQ and dynamic IDDT). This research has evolved to address challenges posed by technological parameter variations in modern microelectronics, leading to innovations in predictive testing, oscillation-based testing, and auto-tuning techniques. A second research stream involves designing radiation sensors using standard MOS integrated circuits, with recent work focusing on floating gate MOS transistors that produce outputs proportional to total ionizing dose. Most recently, he has been developing non-conventional computing methodologies accelerated in hardware to enable artificial intelligence applications for massive and highly complex problems. His publication record demonstrates consistent scholarly output across these domains, with particular emphasis on practical applications of theoretical concepts in microelectronics testing and sensor design. The articles reflect a progression from fundamental circuit testing techniques to specialized applications in radiation detection and, most recently, hardware acceleration for AI systems. His work bridges theoretical foundations with experimental validation, as evidenced by his focus on both fault modeling and sensor design with experimental measurements. Dr. Isern Riutort actively supervises Final Degree Projects and Master's Theses in Automation and Industrial Electronic Engineering while teaching across multiple programs. His teaching portfolio spans from foundational Analogue Electronics courses to advanced Electronic Instrumentation Systems, demonstrating comprehensive expertise across the electronics curriculum. He maintains a personal academic website (personal.uib.eu/eugeni.isern) and has established research profiles across major academic networks including ORCID, ResearcherID, Scopus, and Dialnet. As a member of the Electronic Engineering (GEE) Consolidated R+D+I Group at UIB, he participates in a collaborative research framework that supports his work in electronics and related technologies. His office is located in room F107 on the first floor of the Mateu Orfila i Rotger building (Physics building) at the university.

Dominique Ginhacمشاهده پروفایل

استاد

• Hardware design of smart vision systems
• Real-time image processing applications
• VLSI CMOS imaging technology
• +۵ مورد دیگر

Dominique Ginhac is a Professor of Electrical Engineering at the Laboratory of Electronics, Informatics and Image (Le2i UMR 6306) at the University of Burgundy in Dijon, France. He joined Le2i as an assistant professor in 2000 and was promoted to professor in 2009, also becoming head of the Sensors & Hardware Architectures team. In 2010, he became head of the Electronic department of Le2i, and in 2011, he was appointed Deputy Director of Le2i, overseeing approximately 200 people across three scientific departments: Computer Sciences, Vision, and Electronic. Ginhac holds a Master's Degree in Engineering from Polytech Clermont-Fd (1995) and a PhD in Computer Vision from Blaise Pascal University (1999). In 2008, he received his Habilitation qualification (Accreditation to supervise research) from the University of Burgundy. From 2007 to 2009, he was a visiting professor at Université Libre de Bruxelles in the Consciousness, Cognition & Computation lab, expanding his expertise into cognitive science applications for imaging systems. His research focuses on the development of smart imaging technology where sensing and processing are integrated as closely as possible to achieve low cost, low power, and high processing capabilities. His work spans hardware design of smart vision systems, implementation of real-time image processing applications, VLSI CMOS imaging technology, and embedded image processing on DSP/FPGA platforms. His research activities represent the crossroads between algorithmic and hardware solutions dedicated to real-time embedded image processing applications. An analysis of Ginhac's recent publications reveals a strong focus on smart camera and sensor development, particularly in high dynamic range imaging, single-photon detection, and configurable hardware accelerators. His work shows a clear trajectory from fundamental VLSI image sensor design toward increasingly sophisticated integrated systems combining sensing, processing, and specialized applications in medical imaging and real-time vision. His interdisciplinary approach bridges electronics, computer vision, and application-specific system design. Throughout his career, Ginhac has supervised 8 PhD students and published 20 papers in international peer-reviewed journals, 3 book chapters, and more than 50 conference papers. His research has resulted in several significant projects including VerIDIS (Vertically Integrated Digital Image Sensor), CAPTIvA (Asynchronous Photon-counTing Image sensor Architecture), HDR-ARtiSt (High Dynamic Range Adaptive Real-time Smart camera), and ASTICO (Assistance Textile Cognitive). Ginhac leads the Electronic department at Le2i, which is part of a research laboratory under the supervision of the University of Burgundy and the CNRS. His work involves close collaboration with industry partners and has resulted in practical implementations of smart imaging systems for applications ranging from medical monitoring to automotive vision systems. His current research continues to push the boundaries of integrated vision systems, with particular emphasis on 3D-stacked image sensors and photon-counting technologies.

FERNANDO RAFAEL PARDO SECOمشاهده پروفایل

استاد

• Electronics Engineering
• Computer Engineering
• Signal Processing
• +۳ مورد دیگر

Fernando Rafael Pardo Seco is a Professor at the Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela. He earned his PhD in 2008 with a thesis titled Software-hardware FPGA-Based System for the solution of the 3D heat equation applications on the non-destructive evaluation of minefields , supervised by Dr. Diego Cabello Ferrer and Dr. Marco Balsi. His research focuses on FPGA-based systems, CMOS architectures, thermal modeling, image processing, and non-destructive evaluation techniques. His academic contributions span engineering education innovation, including methodologies like cooperative learning and e-learning integration. His technological work emphasizes embedded systems, hardware acceleration for numerical simulations, and safety-critical applications such as landmine detection through thermal analysis. Recent publications highlight advancements in hyperdimensional computing architectures, 3D image processing, and thermal simulation tools. His work bridges hardware-software co-design principles with real-world applications in geophysics, security systems, and industrial engineering education.

• Optical Networking
• Cybersecurity
• Fault-Tolerant Computing
• +۳ مورد دیگر

Alfonso Alejandro Sanchez Macian Perez serves as an Associate Professor in the Telematics Engineering Department at Carlos III University of Madrid, specializing in cutting-edge telecommunications and cybersecurity research. His work spans optical networking, fault-tolerant systems, and space applications, with significant contributions to 6G infrastructure development and privacy-preserving data structures. His research focuses on optical networking innovations for next-generation communications, including space-division multiplexing and multi-band migration techniques critical for 6G deployment. In cybersecurity , he investigates vulnerabilities in probabilistic data structures like Bloom filters and KMV sketches, developing countermeasures against privacy attacks. His space systems research addresses radiation-hardened memory architectures and FPGA reliability for spacecraft applications, with emphasis on error correction and fault tolerance. As principal investigator for major projects including FUN4DATE Redes (2023-2026), Agile uLtra Low EnerGy secuRe netwOrks (2023-2026), and PROTEUS-6G (2024-2026), he leads EU and nationally funded initiatives advancing optical transport networks and sustainable high-capacity infrastructure. His publication record shows consistent high-impact output across IEEE Transactions and optical networking journals, with growing emphasis on 6G-enabling technologies since 2021. His laboratory work centers on the Telematics Engineering Research Group at UC3M, collaborating with Telefónica Innovation Digital and European Commission agencies on photonic integrated circuits and non-terrestrial networks. Current efforts focus on programmable optical transport for 6G services and self-managed sustainable optical networks through the SEASON project.

• Space Instrumentation
• Radiation Detection
• On-Board Data Management Systems
• +۵ مورد دیگر

Sebastián Sánchez Prieto is a Professor at the Department of Automatic Control, Universidad de Alcalá, Spain, affiliated with the Space Research Group (SRG-UAH). He holds a Doctorate from the same institution (1998) with a thesis on cosmic ion telescope control systems. His research focuses on space instrumentation, radiation detection systems, on-board data management, and embedded systems for space applications. He has contributed extensively to the Solar Orbiter mission, working on the Energetic Particle Detector (EPD) instrumentation and software validation. His technical expertise spans FPGA-based signal processing, RISC-V processor architectures, and model-driven engineering for space systems. Notable work includes advancing virtualization techniques for mixed-criticality space systems, digital beamforming architectures, and neural network applications in particle trajectory analysis. Publications emphasize cutting-edge topics like fault-tolerant computing in space environments, adaptive signal processing for space communications, and low-power positioning systems. He actively develops educational frameworks integrating on-board data management concepts across interdisciplinary university curricula. His contributions include over 50 peer-reviewed articles addressing hardware-software co-design, space software verification, and radiation effects mitigation. Current research explores AI-driven approaches for space instrumentation data analysis and next-generation on-board computing solutions.

• Biomedical Signal Processing
• Embedded Systems
• FPGA Hardware Implementation
• +۷ مورد دیگر

Jose Vicente Frances Villora is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is an active researcher in digital systems and biomedical signal processing, with a strong focus on real-time embedded systems and hardware acceleration. His research interests include: Biomedical Signal Processing, particularly ECG and microelectrode recordings FPGA-based hardware implementation of neural networks and real-time algorithms Machine learning applications in healthcare, including arrhythmia detection and Parkinson’s disease treatment Neuromorphic computing and spiking neural networks Digital signal processing in embedded and real-time systems The analysis of his recent publications (2017–2015) reveals a consistent focus on leveraging machine learning—especially KNN and neural networks—for clinical applications such as ventricular fibrillation detection and deep brain stimulation. A significant portion of his work emphasizes hardware implementation on FPGAs, aiming to achieve real-time performance and low resource consumption in medical and robotic systems. He has contributed to educational materials, including textbooks and OCW resources, and supervises academic theses. While no specific scientific awards are mentioned in the provided text, his sustained publication output and integration of theory with hardware systems underscore his technical expertise. He advises students in thesis work and has supervised doctoral research, though specific student names are not listed. His research is supported by practical applications in medical diagnostics and robotics, and he is affiliated with the GPDD (Group for Digital Design and Processing), which focuses on digital system design and processing. He is actively involved in laboratory development, including a remote laboratory for industrial robots, and his team works on co-design environments for neural network hardware, FPGA acceleration, and real-time biomedical systems.

• Physiotherapy
• Medical Instrumentation
• Radiophysics in Medicine
• +۵ مورد دیگر

Jose Maria Blasco Igual is an Associate Professor in the Department of Physiotherapy at the Faculty of Physiotherapy, University of Valencia, Spain. His work bridges clinical physiotherapy and advanced medical instrumentation, with active involvement in interdisciplinary research. His primary research interests include physiotherapy in aging, healthcare strategies for elderly populations, and the development of nuclear instrumentation and radiophysics applications in medicine. He also contributes to engineering-oriented medical technologies, particularly in FPGA-based signal processing for radiation detectors. He is a member of two research groups: PT_AGE – Physiotherapy in the Ageing Process, Social and Health Care Strategies and IRIMED – Research in Radiophysics and Nuclear Instrumentation in Medicine , reflecting his dual expertise in clinical and technical domains. Dr. Blasco earned his Ph.D. from the University of Valencia in 2013 with a thesis on hardware signal processing for high-resolution radiation detectors using FPGA technology. He was supervised by Dr. José David Martín Guerrero and Dr. Enrique Sanchis Peris. While no publications or students are listed in the current data, his research trajectory suggests strong potential in biomedical innovation and translational healthcare technologies. He advises within interdisciplinary projects and likely participates in research grants related to aging, medical devices, and radiological instrumentation. He is actively involved in research teams focusing on aging and medical instrumentation. His work with IRIMED indicates collaboration in developing novel diagnostic and monitoring tools using nuclear and electronic systems.

• Computer Architecture
• Heterogeneous Multiprocessor Systems
• Energy Efficiency in Computing Systems
• +۵ مورد دیگر

María Villarroya Gaudó is a Full Professor at the University of Zaragoza, affiliated with the Department of Computer Science and Systems Engineering within the School of Engineering and Architecture. She is a key member of the ARAGON ENGINEERING RESEARCH INSTITUTE (I3A) and leads the Computer Architecture group (GAZ). In addition to her academic roles, she serves as the Director of the Internationalization Secretariat since 2016 and Director of the UNITA Office. Her educational background includes: PhD in Electronic Engineering from the Autonomous University of Barcelona (2005) Diploma of Advanced Studies in Electronics (2002) Master in Electronic Engineering (2002) Bachelor of Science in Physics (2000) Dr. Villarroya's research focuses on advancing computing systems with an emphasis on energy efficiency and performance optimization . Her work spans heterogeneous multiprocessor systems , on-chip interconnection networks , and CMOS device modeling . She has made significant contributions to understanding how to balance computational demands with environmental sustainability, particularly examining how different processor types (CPUs, GPUs, FPGAs) can be optimally utilized for specific applications while minimizing energy consumption and CO 2 emissions. Her work promoting gender equality in STEM fields has been particularly noteworthy, including founding the "An engineer in every school" initiative and authoring the influential publication "10001 women engineers" during the 2020 pandemic. Her scientific achievements have been recognized with several prestigious awards: Exducere Award from Zaragoza City Council (2021) Third prize of the STEM 2022 Alliance for Female Talent Dr. Villarroya has secured multiple research grants, including funding from the Spanish Foundation for Science and Technology and the Women's Institute. She has been instrumental in developing outreach programs that connect university researchers with primary and secondary schools across Aragon to address the gender gap in engineering education at its earliest stages. She leads the GAZ research group within the I3A institute, fostering collaboration between different engineering disciplines and supporting research management activities. Her team's work bridges theoretical computer architecture with practical applications that address contemporary challenges in computing efficiency.