Find Academic Supervisors

• Computer Architecture
• GPU Systems
• Accelerators for Machine Learning
• +4 more

Jose Luis Abellan Miguel is a Ramón y Cajal Fellow and Tenure-Track Associate Professor at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech team and is a European R3 researcher. Previously, he held roles at the University of Ferrara, Boston University, and Universidad Católica de Murcia. His research focuses on GPU architectures, accelerators for machine learning, and privacy-preserving computing, particularly Fully Homomorphic Encryption (FHE). He has authored over 70 peer-reviewed publications and contributed to conferences like ISCA, HPCA, and MICRO. Education: Bachelor's, Master's, and PhD in Computer Science and Engineering (University of Murcia, 2007–2012) Research Interests: Abellan's work emphasizes architectural enhancements for GPU systems, customized accelerators for ML and FHE, and efficient synchronization/communication in many-core architectures. His contributions include tools like MGPU-Sim and STONNE for simulation, and frameworks like FIDESlib for FHE on GPUs. Recognition: HiPEAC Paper Awards (2011, 2019–2024) Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Editorial roles at ACM TACO and Frontiers in Electronics Grants & Leadership: Recipient of a Ramón y Cajal fellowship and a Consolidación Investigadora grant. He chairs sessions at conferences like ISPASS and serves on TPCs for venues including DATE, HPCA, and MICRO. His lab collaborates with institutions like Georgia Tech, Northeastern University, and Intel. Labs/Teams: He leads the EcoArTech team, focusing on next-gen computing systems via architectural simulators. Collaborators include researchers from MIT, Boston University, and industry partners like NVIDIA and Intel.

• Computer Architecture
• Parallel Processing
• Networking Systems
• +3 more

Javier Verdu Mula is a Professor at the Departament d'Arquitectura de Computadors (Universitat Politècnica de Catalunya - UPC) and a key researcher at the CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes . His work focuses on computer architecture, parallel processing, and networking systems. Fields of Research include RISC-V virtualization, multithreaded processor optimization, and performance analysis of stateful networking applications. Scientific Awards include the BDigital Global Congress (2015) and Wayra Barcelona (2012) recognitions. Collaborations span institutions like Barcelona Supercomputing Center and researchers such as Manuel Alejandro Pajuelo, Mateo Valero Cortes, and Mario Nemirovsky. His recent publications address RISC-V hypervisor extensions, deep packet processing in parallel architectures, and statistical thread assignment models. He also holds patents in hardware virtualization and resource control systems.

• Computer Architecture
• Vector Processors
• GPU Microarchitecture
• +9 more

Roger Espasa Sans is a senior academic and researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Architecture. He has made significant contributions to computer architecture, particularly in vector processing, GPU design, and performance optimization. Universitat Politècnica de Catalunya (UPC) Faculty of Informatics of Barcelona (FIB) Department of Computer Architecture His research focuses on advanced computer architecture, including vector and superscalar processors, memory systems, instruction-level and data-level parallelism, GPU microarchitecture, and performance modeling. His work bridges theoretical design and practical implementation, especially in high-performance and embedded systems. The recent articles highlight a strong trend in GPU and shader optimization, memory redundancy elimination, and performance modeling. His publications span prestigious venues such as IEEE Microarchitecture Symposium, IEEE HPCA, and The Visual Computer, indicating sustained impact in the field of computer systems and architecture. Premiada (Awarded activity) Roger Espasa Sans has advised several doctoral students, including Manel Fernandez Gomez and Francisca Quintana Domínguez, contributing to the next generation of computer architects. His collaborative network is extensive, involving key figures like Mateo Valero and international institutions. While specific grants are not listed, his prolific output suggests sustained funding. He has contributed to major research groups such as CAP (High Performance Computing Group). He is a core member of the CAP - Grup de Computació d'Altes Prestacions (High Performance Computing Group), and has also been associated with PM - Programming Models and ARCO - Microarchitecture and Compilers. His work often involves simulation frameworks like JINKS and Asim, indicating a strong focus on performance evaluation and modeling.

• Computational Science
• Climate Modeling
• High-Performance Computing
• +6 more

Mario Cesar Acosta Cobos is a Researcher at the Department of Computer Architecture of the Barcelona School of Informatics (FIB) at the Universitat Politècnica de Catalunya (UPC). His work focuses on optimizing computational performance and energy efficiency in Earth system models, particularly within the EC-Earth3 framework for the Coupled Model Intercomparison Project (CMIP6). He collaborates extensively with the Barcelona Supercomputing Center (BSC) and other international institutions. Key research interests include high-performance computing , climate modeling , parallel computing , and scientific data compression . His contributions address challenges like workflow optimization for HPC platforms, GPU acceleration for atmospheric chemistry models, and minimizing computational costs in Earth system simulations. Recent work highlights include analyzing the computational and energy costs of CMIP6 simulations, improving EC-Earth3 coupling efficiency, and developing optimized GPU implementations for atmospheric chemistry solvers. His publications span journals like Geoscientific Model Development , Computer Physics Communications , and Future Generation Computer Systems . Acosta Cobos has been involved in collaborative projects such as the Joint-Laboratory of Extreme Scale Computing and contributed to HighResMIP, focusing on high-resolution climate models. His research bridges computational science with environmental applications, emphasizing reproducibility, scalability, and sustainable computing practices.

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +5 more

Rosa Maria Badia Sala is a Research Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Arquitectura de Computadors and the Barcelona Supercomputing Center (BSC-CNS). She specializes in distributed computing, heterogeneous systems, and task-based programming models. Her work focuses on advancing high-performance computing (HPC), cloud computing, and workflow management for large-scale scientific applications. She holds a Doctorat en Informàtica and has been actively involved in numerous research projects, including contributions to the COMPSs programming framework and the optimization of HPC workflows. Her collaborations span institutions like BSC-CNS and international initiatives such as JLESC. Recent research includes GPU-accelerated computing, quantum optimization algorithms, and digital twins for power networks. Badia's publications span journals like Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems, reflecting her expertise in parallel computing, distributed systems, and real-time data analysis. She has supervised multiple doctoral theses and contributes to research grants focused on HPC and AI integration.

Jose Manuel Dominguez AlonsoView profile

Researcher

• Earth Physics
• Computational Fluid Dynamics
• Marine Engineering
• +4 more

Jose Manuel Dominguez Alonso is a researcher at the University of Vigo , affiliated with the Faculty of Sciences and the Marine Research Center . His work focuses on Earth Physics and Smoothed Particle Hydrodynamics (SPH) applications in marine and renewable energy systems. He is part of the FA9 EphysLab research group at the Ourense campus. Education: PhD in Applied Physics from the University of Vigo (2014) under advisors Dr. Moncho Gómez Gesteira and Dr. Alejandro Jacobo Cabrera Crespo. His research explores fluid dynamics , off-shore wind turbines , wave energy converters , and fluid-structure interaction . He has developed DualSPHPhysics for high-performance computing in marine environments. His recent articles (2024-2025) emphasize teaching numerical modeling to students, 3D hydrodynamic analysis , and coupled simulation techniques . His work bridges computational methods with real-world marine engineering challenges like coastal protection and renewable energy optimization.

Fritz HengleinView profile

Professor

• Programming Languages
• Functional Programming
• Domain-Specific Languages (DSLs)
• +6 more

Fritz Henglein is a Professor at the Department of Computer Science, University of Copenhagen (DIKU), with affiliations also at Deon Digital. His career spans over three decades, with notable roles including Head of the Algorithms and Programming Languages (TOPPS) research group and Director of the HIPERFIT research center. Research interests include Programming languages and type systems Functional programming and DSLs High-performance computing Contracts and distributed ledger technology Algorithmic logic and formal semantics His work often bridges theoretical rigor with practical applications, particularly in financial information technology and compiler design. Collaborations include leadership in conferences like POPL, ICFP, and PEPM, with a focus on mentoring through academic events and community-building initiatives.

• Computer Architecture
• Heterogeneous Systems
• GPU Computing
• +2 more

Juan Luis Aragón is a Full Professor of Computer Architecture at the University of Murcia. His research focuses on heterogeneous parallel systems, GPU architectures, and energy-efficient designs. He has been a visiting researcher at Princeton University multiple times and has advised 7 PhD theses. Research areas include GPU memory hierarchy optimization, warp scheduling techniques, and hardware-software co-design for efficient computing. Recent work explores tile rendering optimization and OS-level memory management improvements.

ALVARO ORDOÑEZ IGLESIASView profile

Assistant Professor

• Computer Vision
• Remote Sensing
• High-Performance Computing
• +3 more

Alvaro Ordoñez Iglesias is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Higher Technical School of Engineering and the Department of Electronics and Computing. He is a member of the ARQCOMP research group (Computer Architecture) and the CiTIUS research center. His research focuses on high-performance computing techniques for processing multi/hyperspectral remote sensing images, leveraging GPUs, multi-core CPUs, and cluster systems. He holds a PhD in 'Research in Information Technologies' (2021) from the University of Santiago de Compostela, with a thesis titled Efficient Registration of Multi and Hyperspectral Remote Sensing Images on GPU , supervised by Dra. Dora Blanco Heras and Dr. Francisco Argüello Pedreira. Prior to his current role, he was a Juan de la Cierva postdoctoral researcher at the University of A Coruña. His work emphasizes developing accurate image registration algorithms through spectral information exploitation and parallel/distributed computing. Key contributions include the HSI-MSER and HSI-KAZE algorithms, GPU-accelerated registration frameworks, and open-source tools like HypeRvieW for hyperspectral data processing. His publications span topics such as real-time registration on heterogeneous platforms, feature-based vs. area-based methods, and anomaly detection in river basins. Research collaborations involve multi-device algorithm implementations and benchmarking across diverse hardware architectures.

• Computer Architecture
• Parallel Computing
• Cache Coherence
• +5 more

Manuel Eugenio Acacio Sanchez is a Professor in the Department of Computer Engineering and Technology at the University of Murcia's Faculty of Informatics. His research focuses on computer architecture, parallel systems, cache coherence, and hardware transactional memory. He earned his Ph.D. from the University of Murcia in 2003 with a thesis on directory-based coherence protocols for distributed-shared memory multiprocessors. Doctorate: Universidad de Murcia (2003) Academic Rank: Professor Research Interests include Hardware transactional memory Cache coherence protocols GPU and DNN accelerators Energy-efficient computing Parallel architectures Recent Article Trends emphasize cycle-level simulation tools (e.g., STONNE), hardware transactional memory optimizations, and neural network accelerator design. His work bridges microarchitectural improvements and application-specific efficiency in multicore systems. Labs & Teams : Affiliated with the Computer Architecture and Parallel Systems research group, previously part of the Architecture and Parallel Computing group.

• GPU Architecture
• Hardware Accelerators
• Machine Learning
• +3 more

José L. Abellán is a Ramón y Cajal Fellow (Tenure-Track Associate Professor) and European R3 researcher at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech research group and holds a Ph.D. in Computer Science from the University of Murcia (2012). His career includes postdoctoral positions at Boston University and previous faculty roles at Universidad Católica de Murcia. Dr. Abellán's research focuses on architectural enhancements for GPU systems and customized accelerators targeting machine learning and fully homomorphic encryption applications. His work spans hardware/software co-design, microarchitectural extensions for privacy-preserving computation, and efficient parallel processing. His extensive publication record demonstrates consistent contributions to GPU architecture, processing-in-memory, hardware acceleration for cryptography, and graph neural networks. Recent work has appeared in top computer architecture venues including MICRO, ASPLOS, and HPCA. Awards and Honors HiPEAC Paper Awards (2019, 2020, 2023, 2024) Best Paper Award at IPDPS 2011 Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Dr. Abellán leads the EcoArTech research team and serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and Frontiers in Electronics. He is a Senior Member of IEEE and active in the HiPEAC European network.

• Mechanical Engineering
• Railway Systems
• Multibody Dynamics
• +3 more

Eduardo Corral Abad is an Associate Professor in the Department of Mechanical Engineering at Carlos III University of Madrid, specializing in multibody dynamics, railway systems, and contact mechanics. His research spans industrial heritage, vibration analysis, and educational technology. Railway axle monitoring and crack detection using advanced signal processing Dynamic modeling of mechanical systems with nonlinear contact and friction forces Development of interactive teaching applications for engineering education Use of parallel computing and GPU acceleration in mechanical simulations His contact email is eduardo.corral@uc3m.es . Recent work includes publications on railway diagnostics, helical gear transmissions, and Android-based educational tools.

Javier Garcia-Heras CarreteroView profile

Associate Professor

• Air Traffic Management
• Flight Planning under Uncertainty
• Convective Weather Prediction
• +12 more

Javier Garcia-Heras Carretero is an Associate Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), where he conducts research and teaches in air traffic management, flight planning, and AI applications in aviation. He is a member of the Aerospace Engineering Research Group. Research Interests: His work focuses on enhancing air traffic flow management through machine learning and optimization, particularly in mitigating weather-related disruptions. Key areas include robust 4D flight planning under uncertainty, convective weather prediction, continuous climb operations, and environmental impact reduction in aviation. He integrates AI models such as LSTM and CNNs to forecast thunderstorms and optimize traffic flow. Recent Publication Trends: His most recent articles (2023–2024) emphasize deep learning for pre-tactical convection prediction, fast stochastic flight path simulation under uncertainty, and AI-driven hotspot detection in air traffic due to weather. These works reflect a strong trend toward data-driven, real-time decision support systems in ATM using neural networks and parallel computing. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: He supervises BSc and MSc theses, including one on data science techniques for weather mitigation in ATFM. He has led multiple research projects as Principal Investigator, including Collaborative Learning for Intelligent Meteorological Aviation (2024–2027) and Donut proyect (2019–2022). He has participated in numerous EU-funded projects such as KAIROS, REFMAP, ECONTRAIL, and ISOBAR, as well as industry collaborations with Airbus, Boeing, and SENASA. Labs and Teams: He is part of the Aerospace Engineering Research Group at UC3M, focusing on ATM systems, trajectory optimization, and digital aviation technologies. His team collaborates internationally on projects involving AI, weather forecasting, and sustainable aviation.

• Computer Architecture
• Heterogeneous Multiprocessor Systems
• Energy Efficiency in Computing Systems
• +5 more

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.

Aurelio López FernándezView profile

Assistant Professor

• Big Data
• High-Performance Computing (HPC)
• Data Mining
• +12 more

Aurelio López-Fernández is an Assistant Professor in the Department of Computer Languages and Systems at Pablo de Olavide University, Spain. His research focuses on the application of high-performance computing and big data algorithms to bioinformatics, cancer biomarker analysis, and educational technology. Educational Background: PhD in Computer Science (Cum Laude), Pablo de Olavide University, 2022 Master's Degree in Computer Science, Pablo de Olavide University Bachelor's Degree in Computer Science, Pablo de Olavide University Research Interests: Big Data and High-Performance Computing (HPC) applications Biclustering and co-expression network analysis Cancer biomarker discovery through computational methods Educational technology and data-driven assessment methodologies GPU acceleration for bioinformatics workflows Development of open-source scientific software Research Trends: His recent publications highlight expertise in combining HPC with bioinformatics for cancer research, particularly through co-expression networks and biclustering algorithms. Additionally, he contributes to educational technology via data mining for microcompetence-based learning assessment. Academic Activities: Teaching courses in Fundamentals of Programming, Information Systems, and Management Technologies Supervising Final Degree Projects (TFG) Collaboration Networks: Works extensively with researchers from the DATAi Intelligent Data Analysis group, focusing on interdisciplinary applications of computer science in biomedical domains and educational research.