جستجوی استاد راهنمای دانشگاهی

Jose Matias Cutillas Lozanoمشاهده پروفایل

استاد مدعو

• Parallel Computing
• Metaheuristics
• Hyperheuristics
• +۴ مورد دیگر

Jose Matias Cutillas Lozano is an Adjunct Professor (part-time) at the University of Murcia's Faculty of Informatics, affiliated with the Department of Computer Science and Systems Engineering. He is associated with the Scientific Computing and Parallel Programming research group. His doctoral thesis (2014) focused on modeling and auto-optimization of parallel metaheuristics and hyperheuristics applied to optimization problems in science and engineering, supervised by Dr. Domingo Giménez Cánovas. His research interests span parallel computing, metaheuristics, hyperheuristics, optimization algorithms, scientific computing, and computational biology. He has also contributed to interdisciplinary studies involving medical applications of computational methods and educational technology integration. Publications demonstrate expertise in hybrid metaheuristics for vector autoregression, parallel hyperheuristics in molecular docking (HYPERDOCK), and computational solutions for medical diagnostics (e.g., echocardiography analysis). Recent work addresses urban flood risk modeling under climate change and ICT integration in education. Dr. Cutillas has no explicitly listed scientific awards but maintains active collaboration through his research group. His work emphasizes multi-level parallelism and optimization techniques, with applications spanning engineering, medicine, and education.

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.

Colin Zarzyckiمشاهده پروفایل

دانشیار

• Meteorology
• Climate Dynamics
• Numerical Modeling
• +۷ مورد دیگر

Colin Zarzycki is an Associate Professor of Meteorology and Climate Dynamics at Penn State University, specializing in simulating extreme atmospheric phenomena and bridging weather-climate scale gaps. His work focuses on high-resolution climate modeling for tropical cyclones, snowstorms, atmospheric rivers, and other extremes, with applications in climate change impact assessment and hazard mitigation. Penn State Faculty since 2021 Former Project Scientist at NCAR (2014-2021) Ph.D. in Atmospheric Science (University of Michigan, 2014) Research interests include: Variable-resolution climate models for regional refinement Tropical cyclone dynamics in global climate frameworks Snowstorm tracking algorithms (ESTA software) Cyclone metrics (CyMeP package) Aerosol radiative forcing with spatial heterogeneity Recent publications span 2011-2024 , emphasizing tropical cyclone modeling (12+ papers), extreme weather detection algorithms (3 software tools), and climate change impacts on snowstorms. Key collaborations include NCAR and Columbia IRI partnerships. Software development highlights: Betacast - Hindcasting framework for CESM TempestExtremes - Extreme detection in climate data CyMeP - Tropical cyclone metrics package ExTraTrack - Extratropical transition analysis ESTA - Snowstorm tracking algorithm

• 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.

Rosa Maria Badiaمشاهده پروفایل

استاد

• High Performance Computing
• Parallel Computing
• Distributed Computing
• +۷ مورد دیگر

Rosa Maria Badia is a Professor at the Barcelona School of Informatics (FIB) of the Universitat Politècnica de Catalunya (UPC) and the manager of the Workflows and Distributed Computing group at the Barcelona Supercomputing Center (BSC). She is also the principal investigator of the EuroHPC eFlows4HPC project, focusing on the integration of HPC, Big Data, and Machine Learning through advanced workflow systems. Her research interests lie in high-performance computing, parallel and distributed computing, and task-based programming models. She is a key contributor to the development of COMPSs/PyCOMPSs, a framework enabling efficient parallel execution of complex workflows across heterogeneous computing platforms. Her work has significantly influenced the field of high-performance computing, as recognized by her receipt of the HPDC Achievement Award 2021—the first such award given to a researcher based in Europe. She has also been honored with the Euro-Par Achievement Award 2019 and the DonaTIC Award 2019 in the Academic/Researcher category. Dr. Badia has published nearly 200 papers in international conferences and journals and has been actively involved in European Commission-funded projects and industry collaborations. She is a member of the HiPEAC Network of Excellence and has contributed to the BDEC international initiative. HPDC Achievement Award 2021 Euro-Par Achievement Award 2019 DonaTIC Award 2019 (Academic/Researcher category) She mentors researchers within her group at BSC and leads a team focused on advancing programming models for complex computing environments. Her leadership extends to major European projects and international research communities, shaping the future of scalable computing systems.

• 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 .

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.

Juan Carlos Pichel Camposمشاهده پروفایل

استاد

• parallel and distributed computing
• Big Data technologies
• programming models
• +۷ مورد دیگر

Juan Carlos Pichel Campos is a Full Professor at the University of Santiago de Compostela (USC) specializing in high performance computing and language technologies. His research spans quantum computing, distributed systems, and Big Data technologies with a focus on practical applications in health informatics and computational physics. He received his B.Sc. and M.Sc. in Physics from University of Santiago de Compostela (Spain) and completed his Ph.D. there in 2006. He conducted postdoctoral research at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked as a researcher and project manager at Galicia Supercomputing Center. Professor Pichel's research interests include parallel and distributed computing, Big Data technologies, programming models, and software optimization techniques for emerging architectures. His recent work has focused on bridging quantum computing with classical high performance computing systems, developing efficient algorithms for processing massive biological datasets, and creating tools for health-related information retrieval and misinformation detection. His interdisciplinary approach combines techniques from computer science, physics, and biomedical informatics to solve complex computational problems. Analysis of his recent publications reveals a strong trend toward quantum computing applications and integration with classical HPC systems (accounting for approximately 40% of his recent work), followed by health informatics and natural language processing (about 30%), and bioinformatics and computational physics (about 30%). His research demonstrates a consistent focus on developing practical tools and frameworks that address real-world computational challenges across multiple domains. rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) C3HS: Content curation for consumer health search - Search and misinformation detection (2023-2026) Big-eRisk: Early Prediction of Personal Risks on Massive Data (2021-2024) eRISK: Technologies for the early prediction of signs related with psychological disorders (2019-2021) BigNLP: Approaching High Performance Computing to Big Data Technologies: Natural Language Processing as Case Study (2015-2018) Professor Pichel has established strong collaborations with research groups across Europe and the United States, particularly in the fields of quantum computing and biomedical informatics. He is actively involved with CiTIUS (Centro singular de investigación en tecnoloxías da información e da comunicación de USC), contributing to its mission of advancing information and communication technologies through interdisciplinary research.

Soham Chakrabortyمشاهده پروفایل

استادیار

• Programming Languages
• Compilers
• Computer Architecture
• +۳ مورد دیگر

Soham Chakraborty is an Assistant Professor at the Programming Languages Group, TU Delft since 2021. He previously served as an Assistant Professor at the CSE Department, IIT Delhi before joining TU Delft. His academic journey includes a PhD from Max Planck Institute for Software Systems (MPI-SWS) in 2019 and a Master's degree from CSE Department, IIT Kharagpur in 2008. Affiliation: TU Delft, IIT Delhi, MPI-SWS Research Interests: Programming Languages, Compilers, Architecture, Verification, Concurrency His research focuses on formal semantics, compiler correctness, architecture-to-architecture translation, and verification of weak memory models. He has contributed to major conferences including POPL, PLDI, CGO, and ASPLOS. His work addresses challenges in heterogeneous concurrency, relaxed memory concurrency, and binary translation for weak memory architectures. Recent works include How Hard is Weak-Memory Testing? (POPL'24) and Toast: A Heterogeneous Memory Management System (PACT'24). He also received the Distinguished Paper Award at DATE'25 and Distinguished Artifact Award at PODC'22 . Teaching: Courses like Concepts of Programming Languages (CS2120), Parallel and Concurrent Programming (CS4555), Compiler Construction (CS4555), Analysis of Concurrent and Distributed Programs (CS4405), Software Fundamentals (Rust), and Seminar Programming Languages (COL 380) Students: PhD student Dennis Sprokholt, MSc students Michal Raczkiewicz, Alexandru Dumitriu, Huixuan Wu, and alumni including Pieter van den Ham, Mingyu Gao, Jeroen Kloppenburg, and others. Service: Served on program committees for POPL, PLDI, CGO, VMCAI, APLAS, and Eurosys workshops.

John Wickersonمشاهده پروفایل

مدرس ارشد

• concurrency semantics
• FPGAs
• GPUs
• +۵ مورد دیگر

John Wickerson is a Senior Lecturer in the Department of Electrical and Electronic Engineering at Imperial College London. His research spans formal methods, concurrency, and hardware/software synthesis. Academic Rank: Senior Lecturer Affiliation: Imperial College London His research interests include concurrency semantics, weak memory models, transactional memory, GPU and FPGA programming, and high-level synthesis for hardware accelerators. These areas intersect formal verification, programming language design, and hardware-software interface optimization. The publications of John Wickerson reflect trends in formalizing memory models, improving hardware synthesis reliability, and testing concurrency frameworks. His work addresses challenges in quantum compiler validation, GPU workgroup progress, and weak memory persistency across Intel, ARM, and C++ architectures. He actively contributes to academic communities as a Publicity Co-Chair and Session Chair in conferences like POPL and as a Committee Member in SPLASH and PLDI. His GitHub repository activity and X (Twitter) presence further demonstrate his engagement in technical dissemination.