جستجوی استاد راهنمای دانشگاهی

FRANCISCO SANTIAGO ARGUELLO PEDREIRAمشاهده پروفایل

استاد

• Remote Sensing
• Multispectral Imaging
• Hyperspectral Imaging
• +۵ مورد دیگر

Francisco Santiago Argüello Pedreira is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering. He holds a PhD from the same institution (1992) with a thesis on parallel-segmented architectures for orthogonal transforms, supervised by Dr. Emilio López Zapata. His research focuses on remote sensing, multispectral/hyperspectral imaging, machine learning, and GPU programming. He leads the ARQCOMP (Computer Architecture) research group and has pioneered GPU-accelerated methods for image registration, anomaly detection, and classification. Key contributions include hybrid parallel computing frameworks (CUDA/OpenMP/MPI), GAN-based domain adaptation, and innovative data augmentation techniques for hyperspectral imagery. His work spans environmental applications (e.g., Galician river monitoring), forestry mapping, and high-resolution land cover analysis. Notable projects include the EffBaGAN and ResBaGAN models for addressing data scarcity and forest mapping challenges. He has developed open-source tools like HypeRvieW for hyperspectral data processing. Publications emphasize algorithm optimization for GPU architectures, with a focus on real-time processing and heterogeneous computing platforms. His research bridges computer architecture advancements with practical applications in Earth observation and environmental science.

JORGE ALBERTO SUAREZ GAREAمشاهده پروفایل

استادیار

• Deep Learning
• Hyperspectral Imaging
• Remote Sensing
• +۳ مورد دیگر

Jorge Alberto Suarez Garea is an Assistant Professor at the Department of Electronics and Computing within the Higher Technical School of Engineering at the University of Santiago de Compostela. He holds a PhD from the same institution (2021), specializing in Deep Learning-Based Classification Techniques for Hyperspectral Images in Real Time , supervised by Dr. Francisco Argüello Pedreira and Dr. Dora Blanco Heras. His research focuses on deep learning applications in remote sensing , including real-time hyperspectral image processing, parallel computing frameworks (CUDA, OpenMP, MPI), and environmental monitoring using UAV-based multispectral imagery. He is affiliated with the ARQCOMP Research Group (Computer Architecture), emphasizing interdisciplinary work between computer science and environmental science. Key contributions include developing Galician Rivers Multispectral Anomaly Detection Dataset , hybrid parallel domain adaptation methods, and open-source tools like HypeRvieW for hyperspectral data processing. His work bridges algorithmic innovation with hardware optimization, particularly in GPU-accelerated systems. Research interests span neural networks , domain adaptation , texture analysis , and real-time embedded systems , with a focus on environmental applications such as watershed monitoring and ecosystem anomaly detection.

David Lopez Vilariñoمشاهده پروفایل

استاد

• Computer Vision
• LiDAR Data Processing
• FPGA Acceleration
• +۴ مورد دیگر

David Lopez Vilariño is a Professor at the Department of Electronics and Computing, Faculty of Physics, University of Santiago de Compostela. He holds a PhD in Electronics from the same university (2001), specializing in active contour algorithms and FPGA implementations. His research focuses on LiDAR data processing, reconfigurable computing architectures, and embedded vision systems. He is a member of the ARQCOMP (Computer Architecture) and Artificial Vision research groups. Education: PhD in Electronics (2001), thesis on 'Active contours at the pixel level: design and implementation on cellular network architectures' under Dr. Diego Cabello Ferrer. Research interests include: LiDAR-based 3D modeling for urban and environmental applications FPGA acceleration for high-performance computing Reconfigurable hardware architectures for embedded vision systems Real-time video surveillance and motion estimation His work bridges hardware-software co-design with advanced sensing technologies, particularly in geomatics and medical imaging applications.

Humberto Martinez Barberaمشاهده پروفایل

دانشیار

• Robotics
• Control Systems
• Mobile Robots
• +۷ مورد دیگر

Humberto Martinez Barbera is an Associate Professor at the University of Murcia's Faculty of Informatics, affiliated with the Department of Information and Communication Engineering. His research focuses on robotics, control systems, and telematics engineering. He holds a PhD from the University of Murcia (2001) with a thesis on distributed architectures for autonomous mobile robots. His work emphasizes robotics navigation, sensor fusion, and autonomous systems. Notable projects include the MIMICS project (intelligent transport systems) and contributions to RoboCup robotic football. He has supervised research on AGV coordination, fuzzy logic applications, and underwater robotics. His recent publications span multi-GPU acceleration, underwater grasping, and sensor calibration. He has contributed to international collaborations like the French-Spanish L3M SPL Team. Key technical areas include distributed control architectures, Kalman filtering for attitude estimation, and fluid-structure interaction in sailing vessels. His work bridges theoretical advancements with practical applications in autonomous vehicles and industrial automation.

• Particle Physics
• Flavour Physics
• New Physics Searches
• +۳ مورد دیگر

Arantza Oyanguren Campos is a Professor at the University of Valencia, affiliated with the Instituto de Física Corpuscular (IFIC), a joint research center of the University of Valencia and the Spanish National Research Council (CSIC). She serves as a key researcher in the LHCb experiment at CERN, focusing on experimental particle physics through large-scale international collaboration. Her research program centers on: Experimental Flavour Physics investigations via rare decay processes Searches for physics beyond the Standard Model Real-time data analysis optimization using FPGA and GPU accelerator platforms Computational challenges in high-energy physics experiments Dr. Oyanguren Campos leads the Experimental Flavour Physics Group at IFIC, which operates under the LHCb collaboration framework. The group specializes in developing novel analysis techniques for rare decay channels while pioneering real-time processing solutions using heterogeneous computing architectures. Their technical innovations directly address critical data throughput challenges at the LHC. Comprehensive details about the group's research agenda and technical infrastructure are available at http://ific.uv.es/lhcb/ .

Francisco A. Gómez Velaمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Bioinformatics
• +۳ مورد دیگر

Francisco A. Gómez Vela is an Associate Professor at Universidad Pablo de Olavide, Spain. His work bridges computational techniques with biomedical and energy data analysis. Education: PhD in Computer Science (Cum Laude) from Universidad Pablo de Olavide; BSc in Computer Science from University of Seville Research interests focus on: Machine learning for genetic and biomedical data Big data and high-performance computing (HPC) in bioinformatics Energy consumption analysis in smart buildings/cities Software tools for gene network reconstruction Recent publications highlight: Ensemble approaches for gene co-expression networks Biclustering methods in biological data mining GPU-accelerated bioinformatics software Applications in cancer biomarker discovery Educational data mining for microcompetency frameworks Teaching duties include: Computer Science (BSc and MSc) Bioinformatics Project Engineering History and Digital Humanities He has participated in national research projects and R+D+I transfer initiatives, developing tools like: bioScience (HPC bioinformatics library) CyEnGNet—App (Cytoscape gene network tool) BIGO (gene enrichment analysis) GNC–app (gene network validation)

Jose Manuel Claver Iborraمشاهده پروفایل

استاد

• Parallel and Distributed Computing
• Cloud Computing
• Video Coding
• +۷ مورد دیگر

Dr. José Manuel Claver Iborra is a Full Professor at the Department of Computer Science, School of Engineering (ETSE-UV), University of Valencia. He holds a PhD in Computer Science (Parallel and Distributed Computing program) from the Technical University of Valencia and an MSc in Physics (specialized in Electronics and Computer Science) from the University of Valencia. As an IEEE Senior Member, he focuses on cloud computing, video coding, parallel/distributed systems, reconfigurable computing, and network protocols for real-time applications. Current Research: Cloud-based video encoding, GPU acceleration for DNA analysis, FPGA-based network protocols, and indoor localization systems Academic Leadership: Coordinator of the UV-Tirant node in the Spanish Supercomputing Network (RES) His recent publications analyze GPU-based motion estimation, heterogeneous computing for video standards (H.264/AV1), and QoS scheduling algorithms. He supervises PhD and Master's theses on sensor networks, FPGA programming platforms, and parallel applications. Scientific Awards IEEE Senior Member He has directed funded projects on cloud infrastructure, distributed video processing, and reconfigurable systems since the 1990s.

• High-Performance Computing
• Data Governance
• Big Data Analytics
• +۴ مورد دیگر

Anna Queralt Calafat is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics. Her research focuses on High-Performance Computing (HPC), distributed systems, and data governance, with notable contributions in knowledge graphs, cloud-edge continuum management, and parallel workflow optimization. She leads projects funded by European and national grants, including contributions to strategic research agendas like ETP4HPC. Queralt has supervised doctoral students like Jonathan Marti and Rizkallah Touma, and her work spans over 100 publications in top venues such as Future Generation Computer Systems and the International Semantic Web Conference. She actively participates in conference committees and has received a Best Student Paper Award for collaborative research. Her educational background includes a degree in Computer Engineering and a doctorate in Software. She is part of research groups inSSIDE and DTIM, advancing areas like HPC integration with big data analytics. Key projects include automated data lifecycle management and fog-to-cloud distributed processing. Her work bridges theoretical models with practical systems like DataClay and PyCOMPSs, emphasizing scalable and efficient computing solutions.

• Performance Measurement
• Operating Systems
• Virtualization
• +۳ مورد دیگر

Manuel Alejandro Pajuelo González is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture and the School of Computer Science. His research focuses on Performance measurement Operating systems Virtualization Thread assignment in multithreaded processors Recent publications show strong trends in RISC-V architectures, cybersecurity, and performance optimization. Key themes include Hardware virtualization Intrusion detection frameworks Statistical thread assignment approaches Spin-lock overhead analysis Scientific awards include BDigital Global Congress 15ª Edició Computación de Altas Prestaciones VI HiPEAC Paper Award He participated in multiple competitive R&D projects, including the DRAC project focused on RISC-V accelerators for next-generation computing.

Josep Lluís Berral Garcíaمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cloud Computing
• Deep Learning
• +۴ مورد دیگر

Josep Lluís Berral García is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Polytechnic University of Catalonia · BarcelonaTech (UPC). He is actively engaged in teaching and research, with a strong focus on Artificial Intelligence, Cloud Computing, and sustainable computing practices. He leads innovative educational initiatives and is affiliated with the CROMAI research group and the Barcelona Supercomputing Center (BSC-CNS). Research Interests: Artificial Intelligence and Deep Learning Cloud and High-Performance Computing Resource Orchestration and Management Sustainable and Ethical AI AI Education and Pedagogy His recent research and teaching projects center on integrating sustainability and ethical responsibility into AI education, using active learning methodologies. The trend in his work shows a consistent focus on optimizing computing resources through AI, particularly in cloud and HPC environments, with increasing emphasis on environmental impact and responsible innovation. Scientific Awards: UPC Award for Quality in University Teaching 2025 (Teaching Initiative for Newly Recruited Professors) Advising and Grants: While specific students are not listed, his leadership in competitive R&D+i projects and innovation initiatives indicates active supervision and grant-funded research. His involvement in multiple competitive and non-competitive R&D projects demonstrates sustained funding and research leadership. Labs and Teams: He is a key member of the CROMAI (Computing Resources Orchestration and Management for AI) research group at UPC and maintains a strong collaborative link with the Barcelona Supercomputing Center (BSC-CNS), leveraging the MareNostrum supercomputing infrastructure for AI and systems research.

• High-Performance Interconnection Networks
• Computer Architecture
• Network Simulation
• +۷ مورد دیگر

Francisco J. Andújar Muñoz is an Associate Professor at the University of Valladolid in the Department of Computer Science since January 2024. His career spans multiple institutions including Universidad de Castilla-La Mancha (2008-2015) and Universitat Politècnica de València (2017-2018), with academic roles ranging from Research Assistant to Juan de la Cierva Formación Researcher. PhD in Advanced Computer Science Technologies (2011-2015) MsC in Advanced Computer Science Technologies (2010-2011) Computer Science Engineering (2008-2010) Computer Science Technical Engineering (2004-2008) His research focuses on high-performance interconnection networks , with significant contributions to quality-of-service mechanisms, energy-efficient network topologies, and heterogeneous programming optimization. He maintains the open-source VEF Traces framework for network workload modeling. Recent publications (2023-2025) demonstrate expertise in FPGA high-level synthesis portability, SYCL-based GPU optimization, and machine learning applications for Twitch streaming analysis. His work combines theoretical network design with practical implementations in the Journal of Supercomputing and IEEE Transactions on Computers .

• Optics
• Physics
• Biomedical Optics
• +۳ مورد دیگر

Arturo Vicente Jaen is a predoctoral researcher at the University of Murcia, affiliated with the Department of Physics under the Faculty of Chemistry. He is a member of the Optics Laboratory research group, focusing on optical instrumentation, vision science, and computational methods in biomedical imaging. His research spans interdisciplinary areas combining Optics and laser scanning Machine learning for visual correction systems Biomedical optics and volumetric data reconstruction His recent work demonstrates expertise in GPU optimization, neural networks for gaze estimation, and development of OCT data processing tools. The research aligns with applications in ophthalmology and adaptive optical systems.

Dora Blanco Herasمشاهده پروفایل

استاد

• High performance computing
• Computer Vision
• Remote Sensing
• +۵ مورد دیگر

Dora Blanco Heras is a Full Professor in the Department of Electronics and Computer Engineering at the University of Santiago de Compostela. She holds a BS in Physics (1993) and a PhD cum laude from her current university. Research Focus: High Performance Computing, Computer Vision, Remote Sensing Projects: Rapid Digital Monitoring of River Ecosystems, High Performance and Cloud Computing for Demanding Applications Her work emphasizes GPU-accelerated algorithms for multispectral/hyperspectral image processing, anomaly detection, and human-computer interfaces for sustainability indices. She has contributed to technical committees like GRSS Earth Science Informatics and organized summer schools on geospatial AI.

José Carlos Cabaleiro Domínguezمشاهده پروفایل

استاد

• High performance computing
• Parallel systems architecture
• Parallel algorithms
• +۶ مورد دیگر

Dr. José Carlos Cabaleiro Domínguez is a Full Professor in the Department of Electronics and Computing at the University of Santiago de Compostela's Faculty of Computing, Spain. He has been a member of CiTIUS (Centro singular de investigación en tecnoloxías da información e comunicación) since 2010 and was promoted to Full Professor in 2022 after serving as an Associate Professor since 1994. His academic journey began with a BS and PhD in Physics from the University of Santiago de Compostela in 1989 and 1994 respectively, with initial teaching experience at the University of A Coruña from 1990-1994. His research focuses on high performance computing, particularly in parallel systems architecture, development of parallel algorithms for irregular problems with sparse matrices, performance prediction and improvement of parallel applications, memory hierarchy optimization, and applications for grid and cloud computing. He has developed significant expertise in 3D point cloud processing from remote sensors like LiDAR, with applications in urban infrastructure analysis, powerline detection, and route planning. Analysis of his recent publications reveals a strong emphasis on optimizing resource allocation for big data frameworks, developing deep learning applications for point cloud classification, and creating efficient algorithms for powerline detection in LiDAR surveys. His work bridges theoretical computer science with practical applications in geospatial analysis and infrastructure monitoring. His research has been published in top-tier journals including IEEE Transactions, ISPRS Journal of Photogrammetry and Remote Sensing, and Future Generation Computer Systems, reflecting his significant contributions to the field of high performance computing and its applications. Dr. Cabaleiro actively collaborates with researchers across multiple institutions, as evidenced by his extensive publication record with co-authors from various universities and research centers. His work demonstrates a consistent trajectory of advancing parallel computing techniques while applying them to increasingly complex real-world problems involving large-scale geospatial data.

Tomás Fernández Penaمشاهده پروفایل

استاد

• High Performance Computing (HPC)
• Parallel and Distributed Systems
• Quantum Computing
• +۵ مورد دیگر

Tomás Fernández Pena is a Full Professor at the University of Santiago de Compostela (USC) and Senior Researcher at the Research Center in Intelligent Technologies (CiTIUS) . With a career spanning over three decades, he has held academic positions since 1990 and contributed extensively to High Performance Computing (HPC), Big Data, and emerging quantum computing fields. Ph.D. in Physics from USC (1994) Senior Member of IEEE Associate Editor for IEEE Transactions on Computers and IEEE Access Research Contributions : His work focuses on parallel systems architecture, cloud computing middleware, and quantum simulation optimization. He has pioneered methods for NUMA systems, LiDAR data processing, and Big Data applications in bioinformatics/cheminformatics. His recent articles show increasing emphasis on quantum computing frameworks and distributed quantum processing. Scientific Recognition : Holds four Spanish Ministry of Education six-year research excellence periods (sexenios de investigación) and has served as Principal Investigator in 3 public projects and co-investigator in 31 EU/Xunta de Galicia funded initiatives. Supervised 7 Ph.D. theses and published 43+ international journal papers. International Collaborations : Maintains academic connections through funded research stays at Loughborough University, University of Tennessee, and University of Illinois Urbana-Champaign. Active in IEEE and participates in global conferences like Euro-Par and CHEP.