جستجوی استاد راهنمای دانشگاهی

Francisco J. Quiles is a Full Professor of Computer Architecture and Technology at the University of Castilla-La Mancha (UCLM), where he has been a faculty member since 1987. He currently serves as Director of the Department of Computer Systems and leads the High Performance Networks and Architectures (RAAP) research group, which he founded 33 years ago. His leadership extends to national and international organizations, including his current role as President of the Spanish Scientific Society of Computer Science (SCIE) since 2024. Dr. Quiles earned his Degree and PhD in Physics (Electronics and Computer Science) from the University of Valencia in 1986 and 1993, respectively. His academic journey began at UCLM in 1987, where he has held numerous leadership positions including Dean of the Department of Computer Science (1991-1994), first Dean of the Computer Science Engineering Faculty (1994-2000), and Vice-Rector of Research (2000-2011). Dr. Quiles' research focuses on high-performance interconnection networks for multiprocessor systems, clusters, and datacenters, along with parallel algorithms for video compression and transmission. His work bridges theoretical computer architecture with practical applications in high-performance computing environments. His research group has established significant collaborations with CERN's ATLAS project since 2019, demonstrating the real-world impact of his work in large-scale scientific computing. His publication record shows a consistent focus on congestion control, routing algorithms, and network performance optimization across various topologies including Dragonfly, Fat-Tree, and Slim Fly networks. Recent work (2023-2025) has emphasized practical implementations in InfiniBand hardware and solutions for modern datacenter challenges, reflecting the evolving nature of high-performance computing infrastructure. Dr. Quiles has received recognition through his leadership roles in professional organizations including SARTECO (Spanish Society of Computer Architecture and Technology) and IEEE Computer Society, where he is a Senior Member. His contributions to the field have shaped research directions in computer architecture both nationally and internationally. With over 270 peer-reviewed publications, supervision of 9 doctoral theses, and participation in more than 128 research projects supported by various national and international funding bodies, Dr. Quiles has made substantial contributions to both academic research and industry collaboration. His work with companies like Huawei, Bull, and Mellanox demonstrates the practical applicability of his research. The RAAP research group under Dr. Quiles' leadership has established itself as a significant player in computer architecture research, with particular expertise in interconnection networks. Their association with CERN's ATLAS project since 2019 represents a major achievement in applying academic research to fundamental scientific discovery.

• Computer Architecture
• Interconnection Networks
• High-Performance Computing
• +۴ 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.

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

Francisco Manuel Fernández Rivera is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Faculty of Physics. His research focuses on high-performance computing, parallel algorithms, and LiDAR data analysis. He leads the ARQCOMP research group and is part of the Center for Research in Intelligent Technologies (CITIUS). His work addresses challenges in NUMA systems optimization, sparse matrix computations, and geospatial data processing. He holds a PhD from the University of Santiago de Compostela (1988), with a thesis on algorithm partitioning in hypercube computers. His research spans parallel computing frameworks, LiDAR-based infrastructure analysis, and performance modeling of distributed systems. Recent projects include developing thread migration strategies for NUMA architectures and creating tools for LiDAR data visualization and simulation. Key contributions include advancements in LiDAR-based pathfinding, energy-efficient NUMA system management, and parallelization techniques for irregular codes. His work bridges theoretical computer architecture with practical applications in urban planning and environmental monitoring.

• Computer Architecture
• High-Performance Computing
• Parallel Algorithms
• +۳ مورد دیگر

Carlos Molina Clemente is an Associate Professor of Computer Architecture at Rovira i Virgili University in Tarragona, Spain. He holds a M.Sc. in Computer Engineering (Universitat Politècnica de Catalunya, 1996) and a Ph.D. in Computer Science (UPC, 2005). His research focuses on Computer Architecture, Mobile/Sensor Networks, and Cloud Computing. He leads the Cloudlab research group and coordinates initiatives like GTDAWIN and BIOGEI. Key research areas include multicore scheduling, LoRaWAN protocols, LIDAR data analysis, and serverless computing. He has published over 50 articles in top-tier conferences/journals and supervised three doctoral theses. His work spans projects on cache architectures, real-time systems, and educational multicomputing solutions. Affiliations include the Department of Computer Engineering and Mathematics (DEIM) at URV, with offices at Campus Sescelades (Avinguda Països Catalans 26, Tarragona). Research highlights include contributions to non-uniform cache policies, predictive mobile network algorithms, and energy-efficient sensor networks.

• Computer Architecture
• Mobile and Sensor Networks
• Cloud Computing
• +۸ مورد دیگر

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.

• Computer Architecture
• Parallel Computing
• Cache Coherence
• +۵ مورد دیگر

Alberto Ros Bardisa is a Professor at the Department of Computer Engineering and Technology within the Faculty of Informatics at the University of Murcia. He holds a Doctorate from the same university, completing his thesis on Efficient and Scalable Cache Coherence for Many-Core Chip Multiprocessors in 2009. His research focuses on computer architecture , with particular emphasis on cache coherence protocols , hardware transactional memory , speculative execution , and many-core systems . He has contributed to optimizing memory subsystems, concurrency management, and scalability in parallel computing environments. His work often bridges hardware-software co-design to enhance performance and security in modern architectures. Dr. Ros Bardisa is affiliated with the Computer Architecture and Parallel Systems research group and previously contributed to the Architecture and Parallel Computing group. His publications (over 130+ listed) reflect a sustained focus on advancing cache efficiency, transactional memory systems, and speculative execution techniques. His current work explores innovative solutions for fine-grain coherence , secure prefetching , and atomic operation optimization , with recent contributions in 2025 addressing novel protocols like WoperTM and MASCOT.

• Computer Architecture
• Parallel Computing
• Hardware Optimization
• +۶ مورد دیگر

Manuel E. Acacio is Full Professor in the Computer Engineering Department at the University of Murcia, Spain, leading the Computer Architecture & Parallel Systems (CAPS) research group. His research advances multiprocessor systems through innovations in cache coherence protocols, hardware transactional memory, and synchronization mechanisms. Recent work explores efficient concurrency management, speculative execution, and hardware support for deep neural networks.

• Computer Architecture
• Hardware Transactional Memory
• Chip Multiprocessors
• +۱ 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.

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

Rubén Titos Gil is an Assistant Professor in Computer Engineering at the University of Murcia, Spain. His research focuses on architectural support for efficient synchronization in parallel systems, particularly hardware transactional memory implementations for multicore processors. He teaches courses in Computer Organization, Operating Systems, and Computer Networks.

• Computer Architecture
• Hardware Transactional Memory
• Multiprocessor Systems
• +۲ مورد دیگر

Antonio Flores Gil is an Assistant Professor at the Computer Engineering Department within the University of Murcia (Spain). Contact: aflores@um.es, Phone: +34 868 884638. Research Interests : Processor microarchitecture Multicore systems Energy-efficient architectures His publications focus on heterogeneous interconnects , energy consumption reduction , and message management optimization in tiled CMP architectures. Key topics include network-on-chip design, address compression, and hardware prefetching techniques. Groups : ACCA Group (Advanced Communication and Computer Architecture) GACOP (Parallel Computing and Architecture Group, Univ. Murcia)

• Processor microarchitecture
• Multicore systems
• Energy-efficient architectures

Eduard Ayguade Parra is a Full Professor in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), Faculty of Computer Science of Barcelona (FIB). He is a leading researcher in the UPC PM - Programming Models group and maintains a significant affiliation with the Barcelona Supercomputing Center (BSC-CNS), a premier national supercomputing facility. His primary research interests lie in High-Performance Computing (HPC) , with a deep focus on parallel and distributed architectures , programming models (especially task-based models like OmpSs), multicore and multiprocessor systems , and compilers for high-performance architectures . His work bridges hardware and software to optimize performance for complex computational problems. The trends in his recent publications highlight a sustained and evolving research program. He is actively advancing task-based programming for distributed memory and hybrid systems, exploring FPGA acceleration for key HPC kernels like SpMV, and innovating in memory system design, including active compute memory and hybrid memory object placement. His research also extends into applying AI techniques to hardware reliability and creating high-quality datasets for computer vision evaluation. HiPEAC Paper Award 2024 Professor Ayguade has been instrumental in securing and leading numerous competitive and non-competitive R&D+i projects, often funded by national and European programs. He has advised a significant number of doctoral students, whose theses cover topics such as task-based programming, FPGA acceleration, HPC compilers, and machine learning for systems. His collaborations are extensive, with frequent co-authorship with prominent figures at UPC and BSC-CNS, such as Jesús Labarta and Mateo Valero. His research has led to advancements in runtime systems, compiler technology, and FPGA-based acceleration. He is a core member of the UPC PM - Programming Models research group and his work is deeply integrated with the resources and mission of the Barcelona Supercomputing Center (BSC-CNS), one of Europe's leading institutions in supercomputing.

• High-Performance Computing
• Parallel and Distributed Architectures
• Programming Models
• +۶ مورد دیگر

Maria Luisa Gil Gómez is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture and the Barcelona Higher Technical School of Telecommunications Engineering. She holds a PhD in Computer Science and leads research in parallel computing, high-performance computing (HPC), and programming models. Her work focuses on optimizing computational workflows, fault tolerance in distributed systems, and leveraging multi-GPU architectures for scientific simulations. She has contributed to projects like the Programming Models group (PM) at UPC and collaborates with the Barcelona Supercomputing Center (BSC-CNS). Affiliations: UPC Department of Computer Architecture, BSC-CNS, PM Research Group Research Interests: Parallel Programming Models, HPC, GPU Computing, Cellular Automata, Education Technology Her research spans over 147 documented activities, including journal articles, conference presentations, and funded projects. Notable contributions include studies on BCI in music education, distributed algorithms for ARM-based clusters, and the OpenCAL++ framework for parallel cellular automata simulations. She has also explored educational methods integrating creativity and game-based learning in engineering.

• Parallel Computing
• High-Performance Computing (HPC)
• Programming Models
• +۶ مورد دیگر

Jordi Petit Silvestre is a professor in the Department of Computer Sciences at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a member of the ALBCOM research group, focusing on algorithms, bioinformatics, complexity, and formal methods. His work bridges theoretical computer science with practical applications in algorithm engineering, VLSI design, and computer science education. His research interests include algorithms , graph layout problems , parallel computing , data structures , and computer science education . He has made significant contributions to the design and analysis of efficient algorithms, particularly in graph layout optimization and cache-conscious data structures. His work extends to electronic design automation, with publications on macro placement, routing, and physical design for integrated circuits. The recent publications highlight a dual focus: (1) algorithmic and physical design for VLSI, involving macro placement, routing, and system-level optimization; and (2) innovations in computer science education, particularly through the Jutge.org platform, continuous assessment, MOOCs, and feedback mechanisms in online judges. This reflects a career deeply engaged in both theoretical research and educational technology. Jordi Petit has participated in numerous competitive and non-competitive R&D+i projects, often in collaboration with other leading researchers at UPC. He has contributed to educational innovation projects aimed at transforming programming education and curriculum design in computer science degrees. He is actively involved in the development and deployment of Jutge.org , an educational programming judge that supports automated assessment and learning in programming courses. His work in this area includes improving feedback, integrating formal verification, and analyzing course evolution through metrics like pass rates and workload.

• Algorithms
• Theoretical Computer Science
• Graph Layout Problems
• +۸ مورد دیگر

Mario Garcia Valderas is an Associate Professor at the Department of Electronic Technology, Universidad Carlos III de Madrid. He holds roles as Coordinator of the Electronic Technology program and Deputy Director of Infrastructure and Laboratories. His research focuses on radiation-hardened systems, fault-tolerant architectures, and embedded systems for aerospace and space applications. His work emphasizes reliability in microelectronics and FPGA-based solutions, addressing challenges like single-event effects in space and high-reliability computing. Key areas include RISC-V processors, heterogeneous computing, and hardware-software co-design for planetary exploration instruments. Publications highlight advancements in radiation-hardening techniques, error detection/recovery architectures, and fault-injection methodologies. Over 100 peer-reviewed articles and book chapters evidence his contributions to microelectronics and embedded systems reliability. He leads the Microelectronic Design and Applications (DMA) research group and collaborates with institutions like CNA for combined irradiation testing. His research spans from theoretical design hardening to practical implementations in aerospace-grade electronics.

• Radiation Hardening
• Fault-Tolerant Systems
• Microelectronics
• +۵ مورد دیگر

Ricardo Fernández Pascual is an Associate Professor at the Computer Engineering Department (DITEC) of the Universidad de Murcia , Spain. He teaches introductory and advanced computer architecture courses like ' Estructura y Tecnología de Computadores ' and ' Organización y Arquitectura de Computadores '. His academic work focuses on computer architecture , particularly in memory hierarchies for chip multiprocessors cache coherence protocols fault tolerance energy-efficient design His PhD thesis (2009) at the Universidad de Murcia, titled ' Fault-tolerant Cache Coherence Protocols for CMPs ', was supervised by José Manuel García Carrasco and Manuel Eugenio Acacio Sánchez. He has also collaborated with institutions like Intel Barcelona Research Center and FORTH. Recent research trends in his publications include optimizing coherence directories for manycore scalability hybrid photonic-electronic interconnects fault-tolerant mechanisms in CMP architectures transactional memory enhancements dynamic resource management private-shared cache organization He has advised PhD student Antonio García Guirado, who completed his thesis on energy-efficient cache-coherent multi-cores in 2013. His work has been published in leading journals like IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel Distributed Computing, and conferences including ICS, HPCA, and SBAC-PAD.

• Computer Architecture
• Memory Hierarchies
• Cache Coherence Protocols
• +۵ مورد دیگر