جستجوی استاد راهنمای دانشگاهی

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +۵ مورد دیگر

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.

• Computer Architecture
• Heterogeneous Systems
• GPU Computing
• +۲ مورد دیگر

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 IGLESIASمشاهده پروفایل

استادیار

• Computer Vision
• Remote Sensing
• High-Performance Computing
• +۳ مورد دیگر

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.

Juan Carlos Pichel Camposمشاهده پروفایل

دانشیار

• Parallel Computing
• Distributed Computing
• Big Data Technologies
• +۶ مورد دیگر

Juan Carlos Pichel is an Associate Professor at the Center for Research in Intelligent Technologies (CITIUS) within the University of Santiago de Compostela (Spain). He holds a B.Sc. in Physics and a Ph.D. in Computer Science from the same university (2006). His research focuses on parallel and distributed computing, Big Data technologies, quantum computing, and optimization for emerging architectures. He has held visiting positions at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked at the Galicia Supercomputing Center. Education: B.Sc. Physics (USC, Spain), Ph.D. Computer Science (USC, 2006). Research interests include: HPC frameworks (IgnisHPC), quantum computing tools (NetQIR), bioinformatics software (BigSeqKit/VeryFastTree), and misinformation detection systems. His work emphasizes interdisciplinary applications of parallel computing in genomics, health informatics, and social media analysis. Notable contributions: MPI4All (universal MPI bindings), IgnisHPC (HPC-Big Data framework), and VeryFastTree (phylogeny tool). Active in projects like C3HS (health search systems) and HYBRIDS (AI for democratic practices). Labs/Teams: Leads the ARQCOMP research group in Computer Architecture. Collaborates with multidisciplinary teams in bioinformatics, quantum computing, and social media analytics.

Alberto Ros Bardisaمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Computing
• Hardware Optimization
• +۶ 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.

Antonio García Loureiroمشاهده پروفایل

استاد

• High performance computing
• Electronic design of intelligent devices
• Semiconductor device simulation
• +۳ مورد دیگر

Antonio García Loureiro is a Full Professor in the Department of Electronics at the University of Santiago de Compostela (USC), Spain. His research focuses on high-performance computing applications in semiconductor device simulation, photovoltaics, and wireless power transmission. He leads multiple research projects including rePowerSiC and HiPerHC2DA, and has extensive collaborations with international institutions. Dr. García Loureiro received his MSc in Electronic Physics and PhD in Electronics and Computer Science from the University of Santiago de Compostela in 1994 and 1999, respectively. He has been a visiting researcher at the Edinburgh Parallel Computing Centre (UK) and the Device Modeling Group at the University of Glasgow (UK). His primary research interests span high-performance computing for semiconductor device simulation, photovoltaic systems, and wireless power transmission technologies. He specializes in parallelization and optimization of numerical simulators for semiconductor devices, transistors, and solar cells. His work bridges the gap between computational methods and practical electronic device design, with applications in energy harvesting and conversion systems. Recent publications reveal a strong trend toward machine learning applications in semiconductor device modeling and optimization of laser power converters. His research group has made significant contributions to III-V nitride-based optical photovoltaic converters, silicon carbide systems for space applications, and high-efficiency photovoltaic technologies. The work spans from fundamental semiconductor physics to practical engineering applications in wireless power transmission. Dr. García Loureiro has received support for numerous research projects including: rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) HiPerHC2DA: High Performance, Heterogeneous and Cloud Computing for Demanding Applications (2023-2026) Ultra-Efficient Micro-Scale New Generation Hybrid Concentrator Photovoltaic Systems (2020-2023) Network on variability in Nanoelectronics (2014-2016) He leads a research team focused on semiconductor device simulation and photovoltaic technologies, with strong connections to international research groups working on high-performance computing applications in electronics. His laboratory utilizes advanced computational resources for semiconductor device modeling and optimization.

• GPU Architecture
• Hardware Accelerators
• Machine Learning
• +۳ مورد دیگر

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.

Aurelio López Fernándezمشاهده پروفایل

استادیار

• Big Data
• High-Performance Computing (HPC)
• Data Mining
• +۱۲ مورد دیگر

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.

Antonio Flores Gilمشاهده پروفایل

استادیار

• Processor microarchitecture
• Multicore systems
• Energy-efficient architectures

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)

• Parallel Computing
• High-Performance Computing (HPC)
• 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.

• Radiation Hardening
• Fault-Tolerant Systems
• Microelectronics
• +۵ 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.

Jorge Fernández-Berniمشاهده پروفایل

دانشیار

• Smart CMOS image sensors
• Vision chips
• Embedded systems
• +۱۰ مورد دیگر

Jorge Fernández-Berni is an Associate Professor at the University of Seville, affiliated with the Institute of Microelectronics of Seville (IMSE-CNM), a joint research center of CSIC and the university. He holds a PhD in Microelectronics (2011, with honors) and has been a faculty member since 2018, following a Juan de la Cierva Research Fellowship (2016–2017). Research Interests: Smart CMOS image sensors Vision chips Embedded systems and hardware-software co-design Distributed smart sensors Deep learning and edge AI Nature and biodiversity monitoring His recent publications reflect a strong trend toward integrating AI with low-power embedded vision systems for ecological applications, particularly in wildlife and environmental monitoring. The work emphasizes efficient, real-time processing on edge devices, focal-plane computation, and system-level optimization for IoT deployment. Topics include high dynamic range imaging, Gaussian pyramid extraction, thermal throttling impact, and performance prediction for deep learning models on embedded platforms. Scientific Awards: Best Paper Award, SPIE Electronic Imaging 2014 Third Prize, Student Paper Award, IEEE CNNA 2010 Winner, 'De Idea a Producto' contest 2022 HiPEAC 2023 Technology Transfer Award Winner, Startup Olé Marbella 2024 Student Pitch Competition Advising and Grants: Dr. Fernández-Berni has served as Principal Investigator (PI) in numerous research and tech transfer projects, including ULTIMATE (smart embedded platform for nature monitoring), SEMIoTICS (intelligent IoT components), and collaborations with SEO/BirdLife on automated bird identification. He has participated in approximately 25 research projects, with funding from national agencies (Ministerio de Ciencia e Innovación, Junta de Andalucía), the European Union (H2020), and the U.S. Office of Naval Research. He has also led the spin-off BiodAIverse (now biotfy), which has received recognition and acceleration support. Labs and Teams: He is a core researcher at the Institute of Microelectronics of Seville (IMSE-CNM), where he contributes to advanced sensor development and participates in the Doctoral Program on Physical Sciences and Technologies. He has collaborated extensively with the research group led by Á. Rodríguez-Vázquez and R. Carmona-Galán, focusing on smart vision systems and embedded processing.

• High Performance Computing
• Parallel Computing
• Numerical Linear Algebra
• +۳ مورد دیگر

José Arnal García is a Professor in the Department of Computer Science and Artificial Intelligence at the Higher Polytechnic School of the University of Alicante, where he has served since 1995. He is affiliated with the University Research Institute in Computer Science and the High-Performance Computing and Parallelism Research Group (gCAPyP). His academic credentials include: Doctorate in Computer Engineering and Computing from the University of Alicante (2000) Graduate degree in Mathematical Sciences from the University of Valencia (1991) Dr. Arnal García's research specializes in parallel algorithms for heterogeneous architectures, focusing on solving linear and nonlinear systems with applications across scientific and engineering domains. His work advances computational efficiency in high-performance computing through innovative algorithm design for complex problem-solving scenarios. His scientific contributions have earned sustained recognition from Spain's National Commission for the Evaluation of Research Activity (CNEAI): Nine consecutive three-year research evaluation periods Five teaching merit periods Three dedicated research merit periods As an academic advisor, he has guided graduate students in parallel computing and numerical methods while securing research funding for computational projects. Within the University of Alicante, he actively contributes to the gCAPyP research group's mission to pioneer advancements in high-performance computing and parallel processing architectures.

• Computer Architecture
• Memory Hierarchies
• Cache Coherence Protocols
• +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.

• High-Performance Computing
• LiDAR Technology
• Computer Vision
• +۵ مورد دیگر

David López Vilariño is a Lecturer at the University of Santiago de Compostela, affiliated with the Department of Electronics. His research focuses on LiDAR data processing, FPGA acceleration for high-performance computing (HPC), and embedded systems. He teaches courses such as Fundaments of Electronic Instrumentation , Heterogenous Programming , and The Physics of Computing , contributing to bachelor’s and master’s programs in Physics, Informatics Engineering, and High Performance Computing. His research interests span LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He has developed algorithms for LiDAR data analysis, FPGA-based motion estimation, and GPU-accelerated medical image processing. Notable contributions include tools like the Open Lidar Visualizer and Analyser for 3D point cloud visualization. Dr. Vilariño’s work bridges computer architecture, signal processing, and geomatics. His recent publications emphasize optimizing HPC workloads using FPGAs and Intel OneAPI, as well as automated LiDAR-based detection of power lines, road points, and pedestrian zones. He collaborates on interdisciplinary projects involving parallel computing, embedded vision systems, and real-time surveillance applications. Teaching responsibilities include coordinating courses for the Máster Universitario en Computación de Altas Prestaciones, a joint program with the University of A Coruña. No academic awards are listed, but his active role in teaching and research grants underscores his contributions to the field.