جست‌وجوی استاد و پژوهشگر

Manuel Hermenegildoمشاهده پروفایل

استاد

• Computer Science
• Programming Languages
• Software Engineering
• +۶ مورد دیگر

Manuel Hermenegildo is a distinguished academic holding dual appointments as a Full Professor at the Polytechnic University of Madrid (Spain) and a Distinguished Professor at the IMDEA Software Institute. He earned his Ph.D. in Computer Science from the University of Texas at Austin in 1986. His roles include Founding Director of IMDEA Software (2007–2017) and former Director of Spain's national research funding agency. He leads the CLIP Lab (UPM) and contributes to the Ciao programming language and CiaoPP analysis tool. Education: Ph.D. in Computer Science, University of Texas at Austin (1986) Research focuses on global program analysis, verification, debugging, parallelism, and logic programming. He has authored over 250 papers and received prestigious awards like the ACM Fellowship and Spain's Julio Rey Pastor Prize. His leadership roles span international organizations such as INRIA's Scientific Board and the European Association for Programming Languages and Systems (EAPS). Key contributions include static analysis frameworks, energy-aware programming models, and educational tools like the Ciao Prolog Playground. Notable collaborations include the ENTRA project for whole-system energy transparency. His work emphasizes practical applications of formal methods, with projects funded by national and international grants. Advises on policy and research strategy for EU and Spanish science initiatives.

Miguel García Folgadoمشاهده پروفایل

پژوهشگر

• Dark Matter Phenomenology
• Deep Learning
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Miguel García Folgado is a Momentum Postdoctoral Researcher at the Institute of Corpuscular Physics (IFIC) under CSIC, with a PhD in Astroparticle Physics from the University of Valencia. He holds dual expertise in theoretical physics research and high-performance computing (HPC) systems administration. His academic journey includes a BSc and MSc in Physics from the University of Valencia, followed by a PhD exploring dark matter models and deep learning applications (2016-2021). He has held postdoctoral positions at the Polytechnic University of Valencia and IFIC, focusing on AI-driven climate change solutions and particle physics phenomenology. Research interests span dark matter phenomenology, deep learning applications in physics and environmental science, and HPC infrastructure optimization. His work integrates theoretical physics with computational tools like TensorFlow/PyTorch and C++ for high-performance simulations. He has developed predictive models for urban traffic, wildfire emissions, and political sentiment analysis using NLP techniques. Miguel is actively involved in maintaining the GLUON HPC cluster at IFIC, managing distributed storage systems (e.g., MinIO), and automating workflows via Ansible. He has authored multiple peer-reviewed articles in journals like JCAP and JHEP, and his doctoral work earned the Extraordinary Doctorate Award. His technical skills include system administration (Linux/RedHat), database management (MySQL/PostgreSQL), and static website development using Hugo.

• Computer Science
• Artificial Intelligence
• Parallel Computing
• +۳ مورد دیگر

Rocio Carratala Saez is a Researcher affiliated with the School of Engineering at Universitat de València. She earned her Ph.D. in 2021 from Universitat Jaume I with a thesis focused on parallelization strategies in hierarchical matrix factorizations. Her work intersects computer science and artificial intelligence, emphasizing computational efficiency in mathematical frameworks. Education: Ph.D. in Computer Science and Artificial Intelligence (Universitat Jaume I, 2021) Her research interests span parallel computing, matrix factorization, and high-performance algorithm optimization. She collaborates with experts like Dr. Enrique Salvador Quintana Ortí and Dr. José Ignacio Aliaga Estellés.

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.

• Aerospace Engineering
• Optimal Control
• Numerical Techniques
• +۳ مورد دیگر

Adrian Delgado Marcos is an Assistant Professor at the Department of Mechanical, Computer and Aerospace Engineering at the University of León, Spain. He is affiliated with the GITA (Aerospace Technology Group) research group, focusing on aerospace engineering and flight dynamics. PhD Thesis: Application of analytical and numerical techniques for optimal control in determining the integral performance of aerospace vehicles (2024). Supervisors: Dr. Alberto Escapa García and Dr. Diego Domínguez Fernández. His research bridges aerospace engineering and computational methods, with a focus on trajectory optimization, airship dynamics, and CFD modeling for urban wind applications. Recent work explores uncertainty quantification in micro wind turbine airfoils and simulation-based pedagogy for astrodynamics. Publications demonstrate expertise in orbital propagation, airship hydrodynamics, and optimization algorithms. While no explicit awards or grants are listed, his output spans flight modeling, wind energy systems, and avionics education.

Josep Maria Porta Pleiteمشاهده پروفایل

پژوهشگر

• Motion Planning
• Computational Robotics
• Robot Kinematics
• +۷ مورد دیگر

Josep Maria Porta Pleite is an Associate Researcher at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). He leads the Kinematics and Robot Design (KRD) research group and has been actively contributing to robotics and computational kinematics since 2007. His work bridges theoretical algorithm development and practical applications in robotics, molecular biology, and environmental toxicology. Porta’s research spans motion planning , robot kinematics , SLAM , and planning under uncertainty . He has made significant contributions to solving complex kinematic problems in closed-chain systems and molecular conformational spaces. His work often involves developing efficient algorithms and open-source software tools such as the CuikSuite , Cuik-KDtree , and Pose SLAM , which are widely used in robotics research. His recent publications (2019–2025) reveal a strong trend toward interdisciplinary applications, particularly in zebrafish behavioral analysis and neurotoxicology , where computational methods are applied to assess environmental contaminants. He also continues to advance core robotics problems, including trajectory optimization, hand-eye calibration, and closed-form solutions in rotation geometry. His work appears in top-tier journals such as IEEE Transactions on Robotics , Mechanism and Machine Theory , and Science of the Total Environment . Porta has served as an associate editor for IEEE Transactions on Robotics (2015–2018) and has supervised numerous students and collaborators. He has led long-term software development efforts and secured research funding through national and European projects. Scientific Contributions: Lead developer of the CuikSuite for motion analysis of closed-chain systems. Coordinator of the KRD research group since 2011. Contributor to ambient intelligence and robot localization during his postdoc at the University of Amsterdam. He advises multiple students in robotics, computer vision, and biomedical applications, and his team develops tools for path planning, singularity analysis, grasp optimization, and molecular modeling. There is no indication of part-time status, retirement, or former affiliation.

Federico Thomasمشاهده پروفایل

استاد پژوهشی

• Robotics
• Kinematics
• Distance Geometry
• +۶ مورد دیگر

Federico Thomas is a Professor of Research at the Spanish National Research Council (CSIC), based at the Institut de Robótica i Informàtica Industrial (IRI), affiliated with the Technical University of Catalonia (UPC), Barcelona, Spain. He has held visiting and invited professorships at the University of Massachusetts, Oxford University, École Centrale de Nantes, and the University of Ferrara. Telecommunications Engineering Degree, 1984, UPC Ph.D. in Computer Science, 1988, UPC NATO Postdoctoral Fellow, University of Massachusetts, 1991 His research lies at the intersection of Geometry and Kinematics , with strong applications in Robotics , Computer Vision , and Computer Graphics . He specializes in Distance Geometry and Clifford Algebras , developing mathematical frameworks for solving complex robotic motion and configuration problems. His work enables precise modeling of mechanisms such as lobster-inspired arms and parallel robots. His recent publications (2022–2025) reveal a deep engagement with geometric computation, focusing on rotation matrices, sphere tangents, ellipse intersections, and singularity analysis in parallel robots. These works consistently apply advanced algebraic and geometric methods to practical robotic challenges, demonstrating a trajectory of theoretical rigor with engineering relevance. His scientific honors include the NATO Postdoctoral Fellowship. He has served as an Associate Editor for IEEE Transactions on Robotics (2005–2009, and currently), ASME Journal of Mechanisms and Robotics (2009–2012, and currently), and The International Journal of Mechanics and Control . Federico Thomas was the former director of IRI. He advises students in robotics and geometry, as indicated by the 'Students' section on his homepage. He has not received major grants explicitly listed, but his sustained publication record and editorial roles suggest continuous research support. His 'Art and Science Tapas' initiative reflects an interdisciplinary outreach effort, blending history, art, and science. He leads research activities within the IRI, particularly in computational robotics and geometric methods. His team likely includes collaborators such as J.M. Porta, S. Sarabandi, and B. Bongardt, with whom he co-authors frequently. The 'Kinematics Virtual Library' and 'Tapas' projects suggest an educational and cultural component to his lab’s mission.

• Concurrent Systems
• Performance Analysis
• Theoretical Computer Science
• +۳ مورد دیگر

Naama Ben-David serves as an Assistant Professor at the Technion - Israel Institute of Technology. Prior to this position, she completed a three-year postdoctoral fellowship at VMware Research following her PhD in the Computer Science Department at Carnegie Mellon University, where she was supervised by Guy Blelloch. Her academic foundation includes undergraduate studies at the University of Toronto. Her educational pathway features: PhD in Computer Science from Carnegie Mellon University Undergraduate degree from the University of Toronto Dr. Ben-David's research establishes theoretical frameworks for concurrent systems, specializing in performance cost analysis of concurrent programs through rigorous mathematical methods. Her work bridges theoretical computer science with practical implementations, extending to concurrent data structures and parallel/distributed algorithm design where she actively explores scalability limitations and optimization strategies. Her scholarly recognition includes: Honorable Mention in CMU's School of Computer Science Dissertation Award 2022 PODC Doctoral Dissertation Award NSERC PGSD scholarship Microsoft Research PhD Fellowship During her doctoral studies, she received significant funding through the NSERC PGSD scholarship and Microsoft Research PhD Fellowship. The available documentation does not specify current research grants, student supervision activities, or laboratory affiliations at the Technion.

• Artificial Intelligence
• Machine Learning
• Technoculture
• +۴ مورد دیگر

Ramon Sangüesa Sole is a Professor at Universitat Politècnica de Catalunya (UPC) within the School of Computer Science and Department of Computer Science . He is a member of the IDEAI-UPC (Intelligent Data Science and Artificial Intelligence Research Group) and KEMLG (Knowledge Engineering and Machine Learning Group). Fields of Interest : Artificial Intelligence, Machine Learning, Technoculture, Science Communication, Social Innovation Education : Doctor in Computer Science (UPC) His research focuses on integrating AI with social and environmental contexts, developing algorithmic transparency frameworks, and creating sociotechnical systems. Key projects include democratizing AI through citizen participation and applying machine learning to urban planning and educational innovation. His work emphasizes ethical considerations and interdisciplinary collaboration. Recent publications analyze topics like algorithmic transparency, urban AI applications, and student engagement technologies. Awards include the DISTINCIÓ JAUME VICENS VIVES for research excellence and the 8è Premi a la Qualitat en la Docència Universitària for educational innovation. Sangüesa leads projects in AI-driven design, environmental decision support systems, and personalized learning frameworks.

• Applied Mathematics
• Numerical Relativity
• Computational Astrophysics
• +۶ مورد دیگر

Isabel Cordero Carrión is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València. She is affiliated with two research groups: CompAC (Computational Astrophysics and Cosmology Group) and ANIMS (Numerical Analysis, Images, Multiresolution and Simulation). Institution: Universitat de València School: Faculty of Mathematics Department: Department of Mathematics Research Groups: CompAC, ANIMS Her research focuses on applied mathematics, particularly in numerical relativity and computational astrophysics. She works on the numerical evolution of Einstein's equations, relativistic hydrodynamics, and the development of stable and accurate numerical schemes for general relativistic systems. Her work bridges differential geometry, partial differential equations, and high-performance computing. The recent articles show a consistent trend in advancing numerical methods for general relativity, including formulations of the Einstein and hydrodynamic equations, implicit time integration, and spherical coordinate implementations. Her work emphasizes stability, constraint preservation, and computational efficiency in simulating relativistic systems. No scientific awards are listed in the provided text. She completed her Ph.D. in 2009 at the Universitat de València under the supervision of Dr. José María Ibáñez. While no formal students are listed, her collaborative work includes co-authorship with researchers such as Pablo Cerdá-Durán, Miguel-Ángel Aloy, and Jérôme Novak. She has not received any mentioned grants in the text. She is a member of the CompAC and ANIMS research groups, which focus on computational astrophysics, numerical analysis, and simulation of physical systems using advanced mathematical methods.

• High-Performance Computing
• Distributed Systems
• Parallel Computing
• +۱۲ مورد دیگر

Juan Jose Costa Prats is a researcher in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He is a key member of the CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes, contributing to advanced research in computing systems and network architectures. His work is deeply integrated into competitive R&D projects, including Horizon Europe and national initiatives focused on digital innovation and infrastructure. Research Interests: Costa Prats specializes in high-performance and distributed computing, with a strong focus on parallel programming models (especially OpenMP), software distributed shared memory (SDSM), cloud computing, virtualization, and cybersecurity. His recent work emphasizes secure and resilient computing systems, particularly through RISC-V-based architectures, hypervisor extensions, and runtime malware detection using opcode analysis and machine learning. He also contributes to educational innovation through remote datacenter laboratories. Publication Trends: His recent publications (2021–2024) reflect a shift toward secure, trustworthy computing environments, especially in cloud and IoT contexts. Themes include RISC-V virtualization, intrusion detection using transfer learning, GPS spoofing detection, and secure development frameworks like Vitamin-V. These works highlight a convergence of system architecture, security, and machine learning. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While no formal students are listed, Costa Prats collaborates extensively with leading researchers such as Beatriz Otero, Ramon Canal, and Javier Verdú. He participates in numerous competitive R&D+i projects funded by the Spanish government and the European Union, including Horizon Europe, RIS3CAT, and national research programs, focusing on cloud resilience, intelligent cloud management, and RISC-V ecosystem development. Labs and Teams: He is an active member of the CRAAX research group at UPC, which works on advanced computing architectures. His research often involves collaboration with the Barcelona Supercomputing Center. His projects, such as Vitamin-V and Remote DasaLAB, indicate involvement in both secure computing environments and innovative educational platforms.

• 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.

Alex Ferrer Ferreمشاهده پروفایل

دانشیار

• Materials Design
• Aeronautical Engineering
• Computational Mechanics
• +۴ مورد دیگر

Àlex Ferrer Ferre is a Serra-Hunter Associate Professor at the Department of Physics, Universitat Politècnica de Catalunya (UPC) in Barcelona, and an associate researcher at the International Center for Numerical Methods in Engineering (CIMNE). His research focuses on topology optimization, computational mechanics, and advanced material design. He holds a PhD in Computational Mechanics from UPC (2017) and has conducted postdoctoral research at the University of Oxford and École Polytechnique. Key roles include teaching courses like Flight Mechanics and leading the Swan project for topology optimization software. His work integrates academic and industrial collaborations with entities like ESA and INEGI. Research interests span multiscale design, topology optimization for additive manufacturing, and fracture mechanics. Major projects include the TopSat CubeSat chassis project (ESA-funded) and the Flexion project on flexible material design. Awards include the Marie Curie Fellowship (2019) and an Excellent Cum Laude PhD. His labs and teams collaborate globally, emphasizing open-source tools and collaborative research.

• 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.

• High-Performance Computing (HPC)
• Interconnection Networks
• Congestion Control
• +۳ مورد دیگر

Pedro Javier García García is a Professor at the Department of Computer Systems, Universidad de Castilla-La Mancha, Spain. His work focuses on high-performance interconnection networks, congestion control, and routing algorithms for large-scale systems. Research Themes: High-Performance Computing (HPC), Congestion Management, Adaptive Routing, Fat-Tree Networks, Network Simulation, Quality of Service (QoS) Publication Trends: Recent articles address congestion control in Dragonfly/Slim Fly networks, hybrid routing strategies, energy-efficient interconnects, and scalable simulation frameworks for exascale/big-data architectures.