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Michele ChiumentiView profile

Professor

• Finite Element Technology
• Non-Linear Constitutive Modeling
• Numerical Simulation of Metal Forming
• +4 more

Michele Chiumenti is a Tenured Professor of Continuum Mechanics and Structural Analysis at the Polytechnic University of Catalonia (UPC), School of Civil Engineering. He also serves as Deputy Director of Master and Doctoral programs in Civil Engineering at UPC and is a Full Researcher at the International Center for Numerical Methods in Engineering (CIMNE). His academic career began with a Civil Engineering degree from Politecnico di Milano (1994) and a PhD in Civil Engineering from UPC (1999). Chiumenti's research focuses on finite element technology for non-linear analysis, including incompressible limits, strain localization, and tensile cracking. He also investigates non-linear constitutive models for coupled thermo-mechanical problems and numerical simulation of metal forming processes like Additive Manufacturing (AM), Friction Stir Welding (FSW), and metal casting. Key areas include AM process optimization, material flow analysis, and residual stress mitigation. His work spans over 200 peer-reviewed articles, with recent trends emphasizing AM process simulation, FSW modeling, and advanced material characterization. Notable contributions include crack-free AM substrate designs, high-fidelity part-scale simulations, and empirical methodologies for inherent strain calculations. Grants & Projects: OPENINNOTRAIN (H2020), ADHYWHEEL (H2020), SuPreAM (H2020), and collaborations with industry partners like RMIT and RPS. Labs/Teams: MMCE research group (Mecànica de Medis Continus i Estructures) and (MC)² group (Mecànica de Medis Continus i Computacional).

Miguel García FolgadoView profile

Researcher

• Dark Matter Phenomenology
• Deep Learning
• High-Performance Computing (HPC)
• +3 more

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.

Jose Manuel Claver IborraView profile

Professor

• Parallel and Distributed Computing
• Cloud Computing
• Video Coding
• +7 more

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.

Josep Maria Porta PleiteView profile

Researcher

• Motion Planning
• Computational Robotics
• Robot Kinematics
• +7 more

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.

Kevin JiokengView profile

Assistant Professor

• Wireless Networks
• Ubiquitous Computing
• Localization Technologies
• +6 more

Kevin Jiokeng is an Assistant Professor in Computer Science at Ecole Polytechnique, working in the Epizeuxis team (Networks research team of LIX laboratory). His research focuses on wireless networks, ubiquitous computing, and their applications in localization technologies, mobile healthcare, and smart environments. Current affiliations: Ecole Polytechnique (since 09/2024), INRIA Lille (03/2022-08/2022), Toulouse INP (PhD, 10/2018-01/2022) Research interests: Wireless networks, ubiquitous computing, localization, mobile healthcare, and smart environments. His recent work involves AI-based network intrusion detection, wireless sensing generalizability, and machine learning applications in smart networking. Scientific achievements: Best student paper award at CoRes 2020 Second prize (ex æquo) of PhD Dissertation Award (GDR RSD & ASF, 2023) 200k€ ANR Young Researcher Program grant (2024) Advising and service: Co-advises two PhD students (Stanislas Lucinski and Lucien Dikla) and serves as reviewer/committee member for IEEE INFOCOM, ACM IMWUT, IEEE WiMob, IEEE CSCN, IEEE SMARTCOMP, ACM SIGCOMM, ACM CoNEXT, and AlgoTel/CoRes conferences.

Colin ZarzyckiView profile

Associate Professor

• Meteorology
• Climate Dynamics
• Numerical Modeling
• +7 more

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

• Artificial Intelligence
• Machine Learning
• Technoculture
• +4 more

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.

• Environmental Engineering
• Chemical Engineering
• Bioprocess Engineering
• +13 more

Pau San Valero Tornero is an Associate Professor in the Department of Chemical Engineering at the School of Engineering, University of Valencia, Spain. He is an active member of the GI2AM Research Group on Environmental Engineering, contributing to both environmental bioprocesses and chemical engineering education innovation. His research interests span two interconnected domains: Environmental and Bioprocess Engineering and Chemical Engineering Education . In environmental engineering, he focuses on biotrickling filtration for VOC removal, anaerobic digestion, biogas treatment, and ABE fermentation from lignocellulosic biomass like rice straw. His educational research emphasizes active learning, virtual laboratories (e.g., IQLABS, VIRTUALCHENG), pedagogical tools like Wooclap, and curriculum development for transferable skills in Industry 4.0. The 15 most recent publications reveal a strong trend toward sustainable bioprocesses for bio-based chemical production and a parallel commitment to educational transformation. Articles cluster around optimizing fermentation conditions (pH, sugar composition), pretreatment methods, and in-situ recovery techniques for butanol, while also advancing virtual and active learning models in chemical engineering education. This dual focus highlights his role as both a technical innovator and an educational leader. Dr. Valero has been involved in several educational innovation projects such as ACESIQ, IQLABS, and VIRTUALCHENG, which aim to modernize laboratory teaching, align curricula with learning outcomes, and enhance virtual learning strategies. These projects reflect institutional grant support and collaborative efforts to improve engineering education. Although no specific advisees are listed, his leadership in these initiatives suggests mentoring roles for students and junior faculty. He is actively engaged with the GI2AM Research Group, where he contributes to projects on gas-phase pollution control, bioreactor modeling, and sustainable process design. This team-based research environment fosters interdisciplinary collaboration in environmental biotechnology and process engineering.

• Computer Architecture
• Networking Systems
• Parallel Processing
• +3 more

Javier Masip Bruin is a full Professor at the Polytechnic University of Catalonia (UPC), holding a position in the Computer Architecture Department at the Higher Polytechnic School of Engineering of Vilanova i la Geltrú (EPSEVG). He serves as Coordinator of the Doctoral Program in Computer Architecture and leads the CRAAX research group (Centre de Recerca d'Arquitectures Avançades de Xarxes). With an h-index of 34, his work spans advanced network architectures, parallel processing, and embedded systems design. Education & Affiliations: Doctoral Coordinator in Computer Architecture, CRAAX Research Group Lead His research focuses on optimizing hardware-software co-design for high-performance computing and networked systems. Over 418 documented professional activities include 160+ research projects, 65 indexed journal articles, and 26 patents. Active in academic governance as department head and doctoral program coordinator. Recognition includes WoS Researcher ID G-1263-2015 and ORCID 0000-0002-4755-556X. His work bridges theoretical computer architecture with practical implementations in networking and embedded systems.

Ramon Canal CorretgerView profile

Professor

• Microarchitecture
• Processor Design
• Memory Design
• +15 more

Ramon Canal Corretger is a Full Professor in the Department of Computer Architecture at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He previously served as Vice Dean of Postgraduate Studies at FIB and leads the VirtuOS (Virtualization and Operating Systems) research group. His work bridges computer architecture, hardware security, and system-level reliability. Doctorate from UPC, co-supervised at the University of Wisconsin-Madison Sabbaticals at Harvard University (2006–2007) and the University of Cyprus (2019–2020) Active leadership in EU-funded projects such as Vitamin-V (Horizon Europe) His research focuses on microarchitecture, processor and memory design, reliability under variability, and security at the hardware-software interface. He explores low-power multicore architectures, virtualization optimizations, and secure RISC-V-based systems. His recent work integrates AI for intrusion detection and privacy-preserving federated learning in fog computing environments. The most recent publications demonstrate a strong trend toward security, reliability, and trustworthy computing , particularly in RISC-V ecosystems and cloud/edge infrastructures. There is increasing emphasis on hardware-software co-design , attack detection via performance monitoring , and energy-efficient secure accelerators using emerging technologies like neuromorphic and photonic computing. Scientific Awards: HiPEAC Paper Awards (2017, 2010) IEEE Senior Member (2016) Fulbright Award (2006) IBM Faculty Award (2000) Best Student Paper at HPCA-6 (2000) Multiple teaching excellence recognitions from UPC and AQU Catalunya First Prize in Epson Foundation Rosina Ribalta Award (2001) He has advised several PhD students including Manish Rana, Zoran Jaksic, and Shrikanth Ganapathy, many of whom received honors such as the Intel Doctoral Student Programme recognition. His research is supported by competitive grants from the Spanish government, EU Horizon programs, and industry collaborations. He is actively involved in the design of secure, reliable, and efficient computing systems for future cloud and embedded applications. He leads the VirtuOS research group, which focuses on virtualization, operating systems, and hardware-software interface optimization. The group contributes to open-source RISC-V initiatives and participates in large-scale European R&D projects targeting trustworthy computing infrastructures.

• High-Performance Computing
• Data Governance
• Big Data Analytics
• +4 more

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 FerreView profile

Associate Professor

• Materials Design
• Aeronautical Engineering
• Computational Mechanics
• +4 more

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
• +3 more

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 Interconnection Networks
• Computer Architecture
• Network Simulation
• +7 more

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 .

Fabrizio SilvestriView profile

Professor

• Information Retrieval
• Natural Language Processing
• Machine Learning
• +3 more

Fabrizio Silvestri is a Professor at the Department of Computer, Automatic and Management Engineering (DIAG) of Sapienza University of Rome, where he leads the RSTLess research group focused on Robust, Safe, and Transparent Deep Learning. His research spans Web Information Retrieval, Natural Language Processing, Machine Learning, and Deep Learning with emphasis on Retrieval Augmented Generation systems. Current projects investigate document chunking strategies in RAG to minimize distraction from irrelevant information, "backtracing" user query motivations, and fundamental parallels between Chain of Thought reasoning and information retrieval processes in large language models. Professor Silvestri actively supervises bachelor and master thesis students through structured projects in NLP and RAG, including investigations into chunking methodologies, query motivation analysis, and internal reasoning mechanisms. The RSTLess group maintains an active research agenda centered on developing transparent and robust deep learning frameworks while addressing practical challenges in information access systems.