جستجوی استاد راهنمای دانشگاهی

• 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.

Natalia Seoane Iglesiasمشاهده پروفایل

دانشیار

• Semiconductor Device Simulation
• Nano-Device Variability
• Parallel and Distributed Computing
• +۳ مورد دیگر

Natalia Seoane Iglesias serves as an Associate Professor in the Department of Applied Physics at the University of Santiago de Compostela's College of Physics. Her research integrates semiconductor device physics with high-performance computing to address challenges in next-generation electronics and energy conversion systems. B.Sc. in Physics, University of Santiago de Compostela (Spain) Ph.D. in Physics, University of Santiago de Compostela (2007) Postdoctoral research: University of Glasgow (2007-09), University of Edinburgh (2011), Swansea University (2013-15) Her research focuses on semiconductor device simulation , nanoscale variability analysis , and laser power conversion systems . She develops advanced computational tools combining 3D finite-element modeling with machine learning techniques to optimize device performance. Current projects target ultra-high efficiency (>80%) SiC-based laser converters for space applications and statistical variability studies in sub-10nm transistor architectures. Her publication portfolio reveals strong trends in machine learning-enhanced TCAD and high-concentration photovoltaics . Recent work demonstrates how vertical epitaxial heterostructures with SiC/GaN materials can overcome traditional efficiency barriers in wireless power transfer systems, while her nanoscale variability studies provide critical insights for future CMOS scaling. Key scientific contributions include: Development of MLFoMpy for semiconductor data post-processing Novel Pelgrom-based predictive models for device variability Breakthrough laser power converter architectures exceeding 80% efficiency Comprehensive studies of metal grain effects in nanosheet FETs She leads the rePowerSiC project (2024-2028) developing space-qualified laser power systems and contributes to multiple EU-funded initiatives in high-performance computing. Her team employs advanced simulation frameworks including VENDES and Silvaco Atlas for device characterization, with applications ranging from satellite power systems to refinery monitoring drones.

• Computer Networks
• Telecommunications
• Information Technology
• +۳ مورد دیگر

Francisco Javier Gonzalez Castaño serves as a full-time Professor in the Department of Telematics Engineering at the School of Telecommunications Engineering, University of Vigo. He is affiliated with the Research Center for Telecommunication Technologies and leads the TC1 Information Technology Group on the Vigo campus. He earned his PhD from the University of Vigo in 1998 with the thesis "Contribution to optimal routing in survivable virtual circuit networks using distributed memory architectures," supervised by Dr. Ubaldo M. García Palomares. His research spans Computer Networks, Telecommunications, and Information Technology, with specialized focus on Network Routing, Distributed Systems, and Survivable Networks. His work develops optimization algorithms for fault-tolerant virtual circuit networks using parallel computing architectures. As head of the TC1 Information Technology Group, he drives research in telecommunication protocols and network resilience, contributing to Spain's technological infrastructure development.

• Telecommunications Engineering
• Network Switching
• Parallel Algorithms
• +۳ مورد دیگر

Cristina Lopez Bravo is a full-time Professor in the Telecom Engineering Department at the University of Vigo , affiliated with the School of Telecommunication Engineering and the Research Center for Telecommunication Technologies . She is part of the TC1 Grupo de Tecnoloxías da Información research group. PhD from Universidad Politécnica de Cartagena (2004) with thesis: Estudio del algoritmo de asignacion jerárquica paralela para conmutadores con colas virtuales a la salida Her research focuses on telecommunications engineering , particularly in network switching architectures and parallel processing algorithms for virtual output queueing systems. She contributes to the development of information technologies within telecommunication frameworks. Affiliations: Research Center for Telecommunication Technologies (Campus Vigo) TC1 Grupo de Tecnoloxías da Información

Jose A. Boludaمشاهده پروفایل

دانشیار

• Computer Vision
• Hardware Design
• Image Processing
• +۴ مورد دیگر

Dr. Jose A. Boluda is an Associate Professor in the Department of Computer Engineering at the University of Valencia's School of Engineering. He holds a B.S. in Physics (Electricity, Electronics and Computer Science, 1992) and a Ph.D. (2000) from the same institution. With 6 teaching quinquenios and 4 research sexenios, his academic career spans over two decades. His research focuses on: Computer vision hardware design Smart vision sensors and neuromorphic computing Reconfigurable architectures (FPGA) High-speed motion analysis and change-driven processing Biomimetic visual sensing strategies He has authored over 50 international publications and participated in 15 research projects. His publications predominantly explore: Event-based vision sensors Hardware-accelerated image processing Neuromorphic engineering applications Real-time systems for robotics and 3D scanning Low-power circuit design for computer vision Awards include: Fernando Sapiña Award 2023 for Valencian teaching materials Fernando Sapiña Award 2021 for English teaching materials Fernando Sapiña Award 2021 for Valencian teaching materials He has directed 2 doctoral theses and supervised multiple master's projects. Research includes international collaborations at the University of Virginia, University of Macedonia, and Universitat Jaume I. His lab focuses on developing novel vision sensors and processing architectures.

Gonzalo Besuievskyمشاهده پروفایل

دانشیار

• Computer graphics
• Global illumination
• Radiosity
• +۴ مورد دیگر

Gonzalo Besuievsky is Associate Professor at the Department of Computer Science and Applied Mathematics of the University of Girona , Spain. He leads research on physically-based rendering and global illumination, with particular emphasis on Monte-Carlo methods and dynamic radiosity environments. Education: PhD in Computer Science, Universitat Politècnica de Catalunya , 2001 — Dissertation: "A Monte Carlo Approach for Animated Radiosity Environments" Research Interests: His work spans several inter-related domains: Global Illumination & Radiosity: developing algorithms for realistic light transport in synthetic scenes. Monte Carlo Techniques: adaptive and hierarchical sampling to accelerate rendering. Dynamic Environments: efficient update schemes for animated lighting and moving light sources. Daylighting Simulation: integrating sunlight models into architectural 3-D workflows. Motion Blur & Temporal Coherence: novel methods to render motion-blurred radiosity images. Publication Trends: Across his 1993–2006 publications, a clear evolution is visible from foundational stochastic ray-tracing work toward sophisticated Monte-Carlo radiosity frameworks that handle dynamic lighting, daylighting, and frame-to-frame coherence for animations. Labs & Groups: He is affiliated with the Girona Graphics Group , a research team devoted to advanced graphics and visualization technologies.

• Cloud Computing
• IoT
• Simulation
• +۳ مورد دیگر

Attila Kertesz is an Associate Professor in the Department of Software Engineering at the University of Szeged, Hungary. He leads the IoT Cloud research group and coordinates key projects including the FogBlock4Trust sub-grant (TruBlo EU H2020) and the NKFIH-FK (OTKA) 131793 project. He serves on Management Committees for COST Actions CA19135 and CA17136. His research spans Cloud Computing (39%), IoT (38%), and Simulation (33%), with additional expertise in Fog Computing, Data Protection, and Blockchain. Kertesz investigates data management challenges in distributed systems, focusing on Edge-Cloud integration, resource optimization, and security architectures for IoT environments. Recent publications (2024-2025) demonstrate strong emphasis on converging Fog/Edge computing with Blockchain and Federated Learning for IoT applications. His work addresses resource-aware parallel computing optimization and domain-specific languages for Ambient Assisted Living microservices, appearing in IEEE Access and Simulation Modelling Practice and Theory. Professor Kertesz secures significant funding from EU H2020 and Hungarian Scientific Research Fund sources, supporting active research through multiple collaborative projects. While specific student counts aren't published, his project leadership indicates ongoing supervision opportunities. As leader of the IoT Cloud research group, Kertesz fosters innovation in Cloud-to-Things continuum technologies through theoretical and applied research, with strong international project participation and publication output.

• Computer Science
• Database Systems
• Computational Electromagnetics
• +۲ مورد دیگر

David Cabornero Pascual serves as a Substitute Teacher (Profesor Sustituto LOSU) in the Department of Computer Science at the University of Alcalá (UAH), Spain. His academic appointment places him within the computer science faculty as a temporary but active teaching and research staff member. His research interests center on the innovative application of database systems to computational electromagnetics, specifically focusing on accelerating ray tracing algorithms through relational database technologies. This interdisciplinary work bridges computer science and electrical engineering, with significant implications for high-frequency electromagnetic simulation and antenna design. Analysis of his recent publications reveals a consistent research trajectory focused on optimizing computational methods in electromagnetics. His work demonstrates how database optimization techniques can significantly improve the efficiency of ray tracing in high-frequency asymptotic techniques, with applications spanning antenna design, wireless communications, and electromagnetic simulation. David Cabornero Pascual maintains an active publication record with recent contributions to prestigious IEEE venues, indicating ongoing research productivity despite his temporary academic appointment. His work appears in both journal publications and major international conferences in the field of antennas and propagation.

Gabriel Luqueمشاهده پروفایل

استادیار

• Parallel Metaheuristics
• Genetic Algorithms
• Combinatorial Optimization
• +۷ مورد دیگر

Gabriel Luque is an Assistant Professor in the Department of Languages and Computer Science at the E.T.S.I. Informática (School of Computer Engineering) of the University of Málaga, Spain. His academic career focuses on parallel metaheuristics and evolutionary algorithms, with applications spanning bioinformatics, natural language processing, traffic optimization, and workforce planning. Dr. Luque's research interests center on the design and analysis of parallel and distributed metaheuristics for solving complex combinatorial optimization problems. His work has significantly contributed to understanding the performance characteristics of distributed evolutionary algorithms, including studies on takeover time dynamics, energy consumption analysis, and communication overhead in parallel implementations. He has made notable contributions to DNA fragment assembly problems using parallel genetic algorithms and has extended his research to emerging areas like quantum computing applications. Research grant from Spanish Government: 'Ayuda a la Movilidad José Castillejo' (2008) Research grant from Andalusian Government: 'Beca de Formación de Personal Docente e Investigador' (2002-2006) Award: 'Proyecto Fin de Carrera - Diario el País' (2001) Dr. Luque actively supervises student research projects and has directed several final degree projects on topics including particle swarm algorithms for complex problem solving and extending optimization libraries. His research is supported by multiple national and international projects focused on smart mobility, intelligent cities, and fundamental metaheuristic research. Dr. Luque has established a productive research trajectory with numerous high-impact publications in journals and conferences, demonstrating consistent contributions to the field of parallel metaheuristics and their real-world applications.

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.

• Speech Synthesis
• Voice Quality Analysis
• Environmental Noise Mapping
• +۳ مورد دیگر

Joan Oró is a researcher at the Blanquerna Department of Physical Activity and Sport Sciences and Sports Management within the Faculty of Psychology, Educational Sciences and Sports at Blanquerna - Ramon Llull University. His work focuses on speech synthesis, voice quality analysis, and environmental noise mapping, with a particular emphasis on computational modeling and acoustic sensor networks. Research Interests: Speech signal processing, finite element modeling of phonation, environmental noise monitoring, and machine learning applications in acoustic analysis. Projects: Key contributions to the DYNAMAP initiative for real-time road traffic noise mapping and the FEMVoQ project for 3D voice quality simulation. Publications: Recent work explores vocal tract-glottal source interactions, spectro-temporal noise analysis, and intelligent clustering architectures, spanning interdisciplinary applications in acoustics, signal processing, and urban planning.