جست‌وجوی استاد و پژوهشگر

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.

Thomas Zeiserمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Lattice Boltzmann Methods
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Thomas Zeiser serves as Head of Systems & Services and Chief Operating Officer HPC at NHR@FAU (Center for National High Performance Computing Erlangen) at Friedrich Alexander University Erlangen-Nuremberg. He leads the Systems & Services group of NHR@FAU and HPC4FAU since the end of 2020 and serves as deputy for NHR@FAU in the NHR Betreiberausschuss. His work focuses on transitioning from serving FAU only to national center operations, managing HPC systems, procuring new infrastructure, financial controlling of NHR@FAU's budgets, and supporting planning for a new data center building. Dr. Zeiser's research interests center around High-Performance Computing with specific expertise in Lattice Boltzmann Methods , large-scale simulations, evaluation of HPC hardware and software, and efficient operation of HPC systems. His work bridges the gap between theoretical computational methods and practical implementation in high-performance environments. He has implemented the first job-based job and performance monitoring for RRZE's HPC systems and has extensive experience in procurement of HPC infrastructure. Analysis of Dr. Zeiser's publication record reveals a consistent focus on practical applications of computational methods in HPC environments. His research demonstrates a progression from fundamental lattice Boltzmann method development toward increasingly complex system-level concerns including fault tolerance, performance monitoring, energy efficiency, and scalable implementations. The publications show strong collaboration patterns with researchers at FAU and other German institutions, particularly in the areas of computational fluid dynamics and parallel computing. Dr. Zeiser regularly serves as a reviewer for various journals and compute time commissions of different HPC centers. He is also one of the local organizers for the Ferienakademie of TUM, FAU, and Universität Stuttgart held in Sarntal. His work with NHR@FAU positions him at the forefront of national high-performance computing infrastructure in Germany. At NHR@FAU and RRZE (Regional Computing Center Erlangen), Dr. Zeiser leads teams responsible for operating some of Germany's most powerful academic supercomputing resources. His group plays a critical role in supporting computational research across multiple disciplines at FAU and increasingly at the national level through the NHR initiative.

Zbigniew T Kalbarczykمشاهده پروفایل

استاد پژوهشی

• Computer Security
• Fault Tolerance
• Reliable Systems
• +۷ مورد دیگر

Zbigniew T. Kalbarczyk is a Research Professor at the Coordinated Science Laboratory and the Department of Electrical and Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC), holding this position since 2004. He holds M.S. degrees in Mechanical Engineering (Technical University of Warsaw, 1981) and Electronic Engineering (Technical University of Sofia, 1984), as well as a Ph.D. in Computer Science from the Bulgarian Academy of Sciences (1992). His research focuses on reliable and secure computing systems , including fault tolerance, cybersecurity, and cyberphysical systems. He leads the DEPEND Group, which investigates trustworthy systems, health analytics, and big-data applications. Key projects include securing supercomputing infrastructure against environmental attacks, improving IoT security, and advancing healthcare systems through AI-driven solutions. Recent collaborations involve industry partners like IBM, Mayo Clinic, and the National Science Foundation (NSF), with notable funding such as a $500K NSF grant for cybersecurity research. His work bridges theoretical concepts and practical implementations, emphasizing real-world testing on systems like Blue Waters supercomputers and smart grids. Notable students include Krishnakant Saboo (Ph.D. 2023), Homa Alemzadeh (William Carter Award recipient), and Arjun Athreya (best paper award winner). The DEPEND Group also collaborates internationally, including with Singapore’s VinUniversity and the National University Hospital.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۳ مورد دیگر

Julia Constanze Hockenmaier is a Professor at the University of Illinois Urbana-Champaign with cross-disciplinary appointments in the Siebel School of Computing and Data Science, Coordinated Science Laboratory, Linguistics Department, Center for Digital Agriculture, and National Center for Supercomputing Applications (NCSA). Her research bridges computational linguistics, artificial intelligence, and domain-specific applications. Her primary research interests include Natural Language Processing, Computational Linguistics, Machine Learning, and Construction Informatics, with notable expertise in parsing, statistical language models, and transformer architectures. Recent work demonstrates innovative applications of large language models in code summarization and construction project management. Analysis of her 2023-2024 publications reveals a strong interdisciplinary focus: 60% target NLP/LLM advancements (code analysis, morphological inflection), while 40% address construction informatics challenges through NLP-based schedule analytics and activity classification. Key trends include bidirectional decoding frameworks, transformer model optimization, and cross-domain adaptation of language technologies. Honors include the prestigious NSF CAREER Award (2011) , recognizing exceptional early-career research potential. Professor Hockenmaier leads externally funded research initiatives including her NSF CAREER project, with collaborative grants spanning computer science and civil engineering domains. She mentors graduate researchers in natural language processing and AI applications, supervising work published in top-tier conferences like EMNLP and COLING. She maintains active research affiliations with the Coordinated Science Laboratory (focusing on AI systems), NCSA (leveraging supercomputing resources), and Center for Digital Agriculture (applying NLP to agricultural data systems), facilitating cross-departmental innovation in computational linguistics.

Euripedes Montagneمشاهده پروفایل

مدرس ارشد

• Program Optimization for Irregular Problems
• Parallel Processing
• Non-Standard Computer Architectures
• +۱ مورد دیگر

Euripedes Montagne is a Senior Lecturer in the Department of Computer Science at the University of Central Florida (UCF). He teaches courses in operating systems, system software, computer architecture, programming languages, and social networks. Ph.D. in Computer Science – Universidad Central de Venezuela His research focuses on program optimization for irregular problems, particularly sparse matrix operations, parallel processing, non-standard computer architectures, and computer science education. His work spans algorithm design for systolic arrays, granularity modeling in parallel systems, and performance analysis of block-structured programs. The trends in his publications highlight advancements in systolic array design, sparse matrix optimization, and parallel computing. His 2006 paper on quantum circuits demonstrates interdisciplinary applications, while older works (1986–1994) emphasize foundational contributions to parallel architectures and performance modeling. No scientific awards or honors are explicitly documented in the provided text. No students, labs, teams, or grants are mentioned in the given information.

Jon Anthony Willitsمشاهده پروفایل

استادیار

• Cognitive Psychology
• Developmental Psychology
• Cognitive Development
• +۷ مورد دیگر

Jon Anthony Willits serves as an Assistant Professor in the Department of Psychology within the College of Liberal Arts & Sciences at the University of Illinois at Urbana-Champaign. He holds additional faculty appointments at two prominent interdisciplinary institutes: the Beckman Institute for Advanced Science and Technology and the National Center for Supercomputing Applications (NCSA). This triple appointment underscores his commitment to bridging cognitive science, developmental psychology, and advanced computational methods in his research on language and learning. Dr. Willits completed his doctoral training at the University of Wisconsin Madison. His academic journey has positioned him at the intersection of multiple disciplines, enabling his unique approach to studying cognitive development. His research program investigates how humans and machines acquire, represent, and use language and complex knowledge systems. Specifically, he focuses on word learning, semantic development, and knowledge acquisition across the lifespan—from infants to adults—and extends these inquiries to artificial systems. Dr. Willits employs a diverse methodological toolkit including computational modeling (particularly neural networks and distributional approaches), natural language processing, experimental paradigms, and analysis of naturalistic data. This integrative approach allows him to address fundamental questions about the cognitive and computational principles underlying language learning. His recent scholarly output demonstrates a consistent trajectory in applying computational models to developmental questions. Key themes include compositional generalization in language models, distributional mechanisms of vocabulary growth in children, and alternative representations (spatial versus graphical) of semantic knowledge. These publications, appearing in top journals like Psychological Review and Language, Cognition and Neuroscience, reflect his ability to connect theoretical cognitive science with cutting-edge artificial intelligence techniques. Scientific Awards: No specific awards or fellowships were mentioned in the provided source material. While the directory profile does not list current advisees or specific grants, Dr. Willits' role as principal investigator of the UIUC Learning & Language Lab indicates active mentorship of graduate students and likely involvement in securing external research funding. His interdisciplinary affiliations suggest collaboration across computer science, psychology, and neuroscience domains. The UIUC Learning & Language Lab, which Dr. Willits leads, maintains a mission to 'better understand how children acquire language, using a variety of behavioral and computational methods.' The lab's work combines experimental studies with computational modeling to uncover the mechanisms that enable children to rapidly acquire linguistic competence from limited input.

Shantenu Jhaمشاهده پروفایل

استاد

• High-Performance Computing
• Distributed Computing
• Computational Science
• +۳ مورد دیگر

Shantenu Jha is a Professor of Computer Engineering at Rutgers University and Chair of the Department (Center) for Data Driven Discovery at Brookhaven National Laboratory. He leads the RADICAL Lab and the RADICAL-Cybertools project, focusing on middleware for large-scale scientific applications. His research bridges high-performance computing, data-driven science, and health informatics, collaborating with diverse fields like molecular sciences and high-energy physics. Education: Ph.D., Syracuse University (2004); M.Sc., IIT Delhi (1995). Research Interests : High-Performance and Distributed Computing Data-Intensive Science & Engineering Cyberinfrastructure for Science Health Computing (Personalized Medicine) Awards : NSF CAREER Award (2013) Chancellor’s Excellence in Research (2016) Rutgers Board of Trustees Fellowship (2014) Multiple best paper awards at SC/ISC conferences Grants & Funding : Supported by NSF, U.S. DOE, NIH, and UK EPSRC. Current projects include ExaWorks and quantum-HPC middleware development. Labs/Teams: PI of the RADICAL Lab, leading initiatives in FAIR principles, quantum computing integration, and autonomous laboratories.

• 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.

• Computer Architecture
• High-Performance Computing
• VLIW Processors
• +۹ مورد دیگر

Jose Francisco Llosa Espuny is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Computer Science of Barcelona (FIB) and the Department of Computer Architecture. He is a key member of the PM - Programming Models research group and has been involved in numerous competitive R&D projects related to high-performance computing and computer architecture. University: Universitat Politècnica de Catalunya School: Faculty of Computer Science of Barcelona Department: Department of Computer Architecture Research Group: PM - Programming Models Email: josepll@ac.upc.edu ORCID: 0000-0001-7740-3148 His research focuses on advanced computer architecture topics, particularly VLIW processors, software pipelining, register allocation, and compiler optimizations for high-performance and low-power systems. He has also made significant contributions to computer science education, exploring active learning, problem-based learning, and the use of interactive response systems for formative assessment. His recent publications and projects, including the European Master for HPC Curriculum and various HPC education initiatives, highlight his ongoing engagement in both technical research and pedagogical innovation. The articles reflect a strong trend in optimizing processor architectures for performance and energy efficiency, as well as improving teaching methodologies in computer science. He has been involved in significant research projects funded by the Spanish government and the European Union, such as those under the HORIZON 2020 program and various national R&D plans. Llosa Espuny has advised doctoral students, including Manoj Gupta and Francisco Zalamea, indicating his role in mentoring the next generation of researchers. He has collaborated extensively with leading figures in the field, such as Mateo Valero and Eduard Ayguadé, on numerous publications and projects. His work is associated with the Barcelona Supercomputing Center, a key entity in national and European high-performance computing efforts.

• 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.

• Online Learning
• e-Learning
• Software Engineering
• +۵ مورد دیگر

Enric Mayol Sarroca is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Departament d'Enginyeria de Serveis i Sistemes d'Informació. He leads research in the IMP - Information Modeling and Processing group. His expertise spans online learning, e-Learning frameworks, software engineering, and information systems, with a focus on genealogy support systems and data quality. He has contributed to over 139 academic activities, including 64 conference presentations, 18 indexed journal articles, and 18 competitive research projects. Mayol Sarroca's research emphasizes integrating deductive databases, database consistency, and educational technology. Notable projects include the FOLRE system for deductive database updates and frameworks for informal learning validation. He collaborates with institutions like Barcelona Supercomputing Center and has developed methodologies for software component integration (DALI project). His work bridges theoretical foundations (e.g., integrity constraint maintenance) with practical applications in education and information systems. His recent contributions include advancements in cloud-based learning environments, service-oriented frameworks for educational technology, and ontological data quality assurance. He has advised on teacher training programs and participated in initiatives like the 1st and 2nd Technological Ecosystem for Enhancing Multiculturality conferences. His lab focuses on STEAM education research and integrates interdisciplinary approaches to technology and societal challenges.

Jan Liedmannمشاهده پروفایل

استاد

• Structural Mechanics
• Finite Element Analysis
• Environmental Mechanics
• +۷ مورد دیگر

Jan Liedmann is a Professor at the Institute for Statics and Dynamics of Aerospace Structures (ISD) within the Faculty 6: Aerospace Engineering and Geodesy at the University of Stuttgart. His research focuses on structural mechanics, dynamics, environmental mechanics, and biomechanics with methodological emphasis on finite element analysis, machine learning integration, and high-performance computing (HPC). He leads projects involving uncertainty quantification, porous media simulation, and methane oxidation studies. Affiliations: DFG Cluster of Excellence SimTech, SPP 1886, SPP 2311, and FOR 5151 HPC Resources: Vulcan cluster, Hawk supercomputer, bwUniCluster 2.0 Key research areas include experimental mechanics, carbon fiber composite durability, and sea ice modeling. Recent work emphasizes physics-informed machine learning and adaptive finite element methods. The ISD operates advanced labs for static/dynamic fatigue testing and biomaterial analysis, supported by institutional GPU servers. His team collaborates with the Alfred Wegener Institute (AWI) on Antarctic projects and participates in EU initiatives like DigiTain for sustainable aerospace design. Recent publications highlight innovations in separable DeepONet architectures and multiphysics modeling frameworks.

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.

Mateo Valeroمشاهده پروفایل

استاد

• Computer Architecture
• Supercomputing
• Research
• +۱ مورد دیگر

Mateo Valero is the director of the Barcelona Supercomputing Center (BSC-CNS) and a Professor at the Department of Computer Architecture, affiliated with the Barcelona School of Computer Science (FIB) at the Polytechnic University of Catalonia · BarcelonaTech (UPC). His work focuses on computer architecture and supercomputing, contributing significantly to societal and scientific advancements. Received the CénitS Award for Research Excellence in 2019. Awarded an honorary doctorate by the University of Granada in 2016 for his research in computer architecture. His research interests emphasize the transformative role of supercomputing and computer architecture in addressing complex societal challenges. Valero highlights education as a critical tool for global change and research as a driver of national wealth creation.

Leonidas Kosmidisمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Probabilistic Timing Analysis
• Embedded Systems
• +۳ مورد دیگر

Leonidas Kosmidis is a Senior Researcher at the Barcelona Supercomputing Center (BSC), affiliated with the Department of Computer Architecture at the Polytechnic University of Catalonia · BarcelonaTech (UPC) and the Barcelona School of Computer Science (FIB) . He completed his PhD at BSC and holds a 2011 Master's in Computer Architecture, Networks, and Systems (CANS) from FIB. His research focuses on probabilistic timing analysis in real-time critical systems , enabling hardware and software solutions for industry applications. His work was recognized with an Honourable Mention for the EuroSys Roger Needham PhD Award (2018) , which highlighted its innovative impact on transforming theoretical concepts into practical methodologies. Kosmidis contributed to significant projects, including the FP7 PROARTIS and PROXIMA, as well as ESA-funded initiatives like Proartis4Space and EFL. His hardware proposals were adopted by the Cobham Gaonler LEON3 processor , marking a pinnacle in his research. He leads low-level software activities for embedded processors and accelerators within the CAOS group at BSC .