جست‌وجوی استاد و پژوهشگر

Juan Carlos Pichel Camposمشاهده پروفایل

دانشیار

• Parallel Computing
• Distributed Computing
• Big Data Technologies
• +۶ مورد دیگر

Juan Carlos Pichel is an Associate Professor at the Center for Research in Intelligent Technologies (CITIUS) within the University of Santiago de Compostela (Spain). He holds a B.Sc. in Physics and a Ph.D. in Computer Science from the same university (2006). His research focuses on parallel and distributed computing, Big Data technologies, quantum computing, and optimization for emerging architectures. He has held visiting positions at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked at the Galicia Supercomputing Center. Education: B.Sc. Physics (USC, Spain), Ph.D. Computer Science (USC, 2006). Research interests include: HPC frameworks (IgnisHPC), quantum computing tools (NetQIR), bioinformatics software (BigSeqKit/VeryFastTree), and misinformation detection systems. His work emphasizes interdisciplinary applications of parallel computing in genomics, health informatics, and social media analysis. Notable contributions: MPI4All (universal MPI bindings), IgnisHPC (HPC-Big Data framework), and VeryFastTree (phylogeny tool). Active in projects like C3HS (health search systems) and HYBRIDS (AI for democratic practices). Labs/Teams: Leads the ARQCOMP research group in Computer Architecture. Collaborates with multidisciplinary teams in bioinformatics, quantum computing, and social media analytics.

• Computer Science
• Information Systems
• Data Science
• +۵ مورد دیگر

Maria Ribera Sancho Samsó is a Researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Informatics (FIB) and the Department of Services and Information Systems Engineering. She is a core member of the IMP - Information Modeling and Processing and inLab FIB research groups. Her work focuses on conceptual modeling, IoT systems, educational technology, high-performance computing (HPC), and semantic technologies. She has contributed to over 135 academic activities, including articles, projects, and conference presentations. Her research interests span IoT infrastructure monitoring, HPC curriculum development, and semantic-aware systems. She has led projects like Linked data for fighting inequality and HPC Education activities , emphasizing interdisciplinary applications. She has advised students like Marc Vila, whose doctoral work focused on IoT semantic monitoring. Maria has collaborated extensively with researchers like Ernest Teniente and Jose Casanovas, contributing to grants and innovation initiatives in education and technology.

Rosa M. Badiaمشاهده پروفایل

استاد پژوهشی

• High-Performance Computing (HPC)
• Parallel Computing
• Distributed Systems
• +۳ مورد دیگر

Rosa M. Badia is a Research Professor at the Universitat Politècnica de Catalunya · BarcelonaTech (UPC), affiliated with the Faculty of Computer Science of Barcelona (FIB) and serving as leader of the Workflows and Distributed Computing group at the Barcelona Supercomputing Center (BSC). Her work focuses on advancing high-performance computing (HPC), parallel processing, and distributed systems, contributing significantly to the visibility of the BSC and the Euro-Par conference series. Her research spans critical areas in computational science, including workflow optimization and scalable computing paradigms, aligning with trends in distributed systems and parallel computing. She has played a pivotal role in organizing workshops, chairing sessions, and co-authoring over 17 papers at Euro-Par, highlighting her sustained impact on the field. Scientific Awards: Euro-Par Achievement Award 2019 Rosa Badia actively mentors teams and collaborates on initiatives to promote women in technical careers, emphasizing the importance of conferences like Euro-Par for fostering global research partnerships.

• Bioinformatics
• Marine Microbiology
• Metagenomics
• +۳ مورد دیگر

Lidia Montiel Fontanet is a part-time lecturer at the University of Girona (UdG) since the 2022-2023 academic year and a bioinformatician at the Institute of Marine Sciences (ICM-CSIC) since January 2017. She specializes in marine microbiology, metagenomics, and high-performance computing (HPC) for genomic analysis. Education: Bachelor's Degree in Microbiology, Autonomous University of Barcelona (UAB) Master's Degree in Bioinformatics for Health Sciences, Pompeu Fabra University (UPF), 2016 Her research focuses on constructing gene catalogs and analyzing metagenomes and MAGs (metagenome-assembled genomes) from marine environments like the Blanes Bay Microbial Observatory. She utilizes HPC clusters, including the MARBITS server (ICM-CSIC) and CESGA's FinisTerrae III supercomputer. At UdG, she teaches Bioinformatics in the Master's program in Molecular Biology and Biomedicine. She previously completed her master's thesis at ICM-CSIC under Dr. Ramiro Logares, characterizing deep-sea fungi of the genus Tilletiopsis using Malaspina-2010 expedition datasets. She collaborates within the log[lab] research group at ICM-CSIC and applies computational tools for marine microbial ecology studies.

Aurelio López Fernándezمشاهده پروفایل

استادیار

• Big Data
• High-Performance Computing (HPC)
• Data Mining
• +۱۲ مورد دیگر

Aurelio López-Fernández is an Assistant Professor in the Department of Computer Languages and Systems at Pablo de Olavide University, Spain. His research focuses on the application of high-performance computing and big data algorithms to bioinformatics, cancer biomarker analysis, and educational technology. Educational Background: PhD in Computer Science (Cum Laude), Pablo de Olavide University, 2022 Master's Degree in Computer Science, Pablo de Olavide University Bachelor's Degree in Computer Science, Pablo de Olavide University Research Interests: Big Data and High-Performance Computing (HPC) applications Biclustering and co-expression network analysis Cancer biomarker discovery through computational methods Educational technology and data-driven assessment methodologies GPU acceleration for bioinformatics workflows Development of open-source scientific software Research Trends: His recent publications highlight expertise in combining HPC with bioinformatics for cancer research, particularly through co-expression networks and biclustering algorithms. Additionally, he contributes to educational technology via data mining for microcompetence-based learning assessment. Academic Activities: Teaching courses in Fundamentals of Programming, Information Systems, and Management Technologies Supervising Final Degree Projects (TFG) Collaboration Networks: Works extensively with researchers from the DATAi Intelligent Data Analysis group, focusing on interdisciplinary applications of computer science in biomedical domains and educational research.

• Energy-aware software development
• Resource usage optimization
• Parallel computing
• +۸ مورد دیگر

Pedro López is an Affiliate Faculty at the IMDEA Software Institute and a Tenured Researcher at the Spanish National Research Council (CSIC). He holds a PhD in Computer Science from the Technical University of Madrid (2000) and an MS from the same institution (1994). His roles include Deputy Director of the Artificial Intelligence unit at the UPM's Computer Science Department prior to joining IMDEA. Education: PhD in Computer Science, Technical University of Madrid, 2000 MS in Computer Science, Technical University of Madrid, 1994 Research Interests: Focuses on energy-efficient software development, resource optimization (energy, execution time), parallel computing across domains like IoT, healthcare, and HPC. Expertise includes abstract interpretation, type systems, and constraint/logic programming. His work emphasizes multi-language analysis and static profiling for non-functional properties. Grants & Projects: Principal Investigator for EU projects ES_PASS (Embedded Software Assurance) and FP7 FET ENTRA (Energy Transparency) Participated in numerous international/national research initiatives Affiliations: IMDEA Software Institute, CSIC. Active in research teams addressing whole-systems energy transparency and resource-aware program synthesis.

• Artificial Intelligence
• Big Data
• Cloud Computing
• +۳ مورد دیگر

Jordi Torres Viñals is a Full Professor at the Universitat Politècnica de Catalunya (UPC) and a Senior Researcher & Expert Advisor in High-Performance Computing (HPC) and Artificial Intelligence (AI) at the Barcelona Supercomputing Center (BSC-CNS). He is affiliated with the Barcelona School of Informatics (FIB) and leads research in the Computing Resources Orchestration and Management for Artificial Intelligence (CROMAI) group. Research Interests: Artificial Intelligence High Performance Computing Supercomputing Cloud Computing Big Data Deep Learning Key Affiliations: Department of Computer Architecture, UPC Barcelona Supercomputing Center (BSC-CNS) MareNostrum Supercomputing site

Ayguade Parra, Eduardمشاهده پروفایل

استاد

• High-Performance Computing
• Parallel and Distributed Architectures
• Programming Models
• +۶ مورد دیگر

Eduard Ayguade Parra is a Full Professor in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), Faculty of Computer Science of Barcelona (FIB). He is a leading researcher in the UPC PM - Programming Models group and maintains a significant affiliation with the Barcelona Supercomputing Center (BSC-CNS), a premier national supercomputing facility. His primary research interests lie in High-Performance Computing (HPC) , with a deep focus on parallel and distributed architectures , programming models (especially task-based models like OmpSs), multicore and multiprocessor systems , and compilers for high-performance architectures . His work bridges hardware and software to optimize performance for complex computational problems. The trends in his recent publications highlight a sustained and evolving research program. He is actively advancing task-based programming for distributed memory and hybrid systems, exploring FPGA acceleration for key HPC kernels like SpMV, and innovating in memory system design, including active compute memory and hybrid memory object placement. His research also extends into applying AI techniques to hardware reliability and creating high-quality datasets for computer vision evaluation. HiPEAC Paper Award 2024 Professor Ayguade has been instrumental in securing and leading numerous competitive and non-competitive R&D+i projects, often funded by national and European programs. He has advised a significant number of doctoral students, whose theses cover topics such as task-based programming, FPGA acceleration, HPC compilers, and machine learning for systems. His collaborations are extensive, with frequent co-authorship with prominent figures at UPC and BSC-CNS, such as Jesús Labarta and Mateo Valero. His research has led to advancements in runtime systems, compiler technology, and FPGA-based acceleration. He is a core member of the UPC PM - Programming Models research group and his work is deeply integrated with the resources and mission of the Barcelona Supercomputing Center (BSC-CNS), one of Europe's leading institutions in supercomputing.

• High-Performance Computing
• Computer Architecture
• Parallel Computing
• +۷ مورد دیگر

Francisco Fabio Banchelli Gracia is a researcher affiliated with the Universitat Politècnica de Catalunya (UPC), specifically in the Department of Systems, Automation, and Industrial Informatics at the Barcelona School of Informatics (FIB). He is actively involved in high-performance computing (HPC) research and collaborates with the Barcelona Supercomputing Center (BSC). His research interests include high-performance computing, computer architecture, energy efficiency in computing systems, performance analysis of HPC and computational fluid dynamics (CFD) workloads, Arm-based processors (A64FX, ThunderX2), RISC-V, hardware-software co-design, and HPC education for undergraduates. His work bridges industry practices and academic training, particularly in introducing students to real-world HPC environments. The recent publications highlight a strong focus on evaluating emerging HPC architectures such as NVIDIA Grace and Arm-based systems, developing generic performance and efficiency models, benchmarking production CFD codes, and advancing educational methodologies for HPC. His work spans both technical innovation and pedagogical development in the HPC domain. He has contributed to major HPC conferences such as the International Conference on High Performance Computing (HiPC), Platform for Advanced Scientific Computing (PASC), IEEE Cluster, and IEEE/ACM workshops on HPC education. His collaborations are primarily with researchers at UPC and BSC, especially Filippo Mantovani and Marta Garcia Gasulla. Francisco Fabio Banchelli Gracia is actively engaged in research and publication, with no indication of retirement or former status. He advises on HPC education initiatives and participates in collaborative research projects, though specific grants are not detailed in the provided text. He is part of the CAP (High Performance Computing Group) and works within the UPC-BSC ecosystem, contributing to cutting-edge HPC system evaluation and educational outreach.

• Parallel Computing
• High-Performance Computing (HPC)
• Programming Models
• +۶ مورد دیگر

Maria Luisa Gil Gómez is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture and the Barcelona Higher Technical School of Telecommunications Engineering. She holds a PhD in Computer Science and leads research in parallel computing, high-performance computing (HPC), and programming models. Her work focuses on optimizing computational workflows, fault tolerance in distributed systems, and leveraging multi-GPU architectures for scientific simulations. She has contributed to projects like the Programming Models group (PM) at UPC and collaborates with the Barcelona Supercomputing Center (BSC-CNS). Affiliations: UPC Department of Computer Architecture, BSC-CNS, PM Research Group Research Interests: Parallel Programming Models, HPC, GPU Computing, Cellular Automata, Education Technology Her research spans over 147 documented activities, including journal articles, conference presentations, and funded projects. Notable contributions include studies on BCI in music education, distributed algorithms for ARM-based clusters, and the OpenCAL++ framework for parallel cellular automata simulations. She has also explored educational methods integrating creativity and game-based learning in engineering.

• Computational Mechanics
• Finite Element Methods
• Fluid Dynamics
• +۴ مورد دیگر

Ricardo Javier Principe Rubio is a Researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona East School of Engineering (EEBE) and the Department of Fluid Mechanics. He is a key member of the ANiComp (Numerical Analysis and Scientific Computing) and (MC)² (Computational Mechanics in Continuous Media) research groups. His work bridges high-performance computing, fluid dynamics, and numerical methods, with applications in fusion technology, environmental engineering, and nanomaterials. His research focuses on advanced computational techniques, including finite element methods, uncertainty quantification, and parallel algorithms for large-scale simulations. Recent projects involve anisotropic mesh adaptation, multilevel Monte Carlo methods, and stabilized formulations for multiphase flows. Principe actively contributes to UPC's scientific software ecosystem, notably through the FEMPAR framework for parallel finite element modeling. Awards include the Premi Extraordinari de doctorat 2010 for outstanding doctoral research. He leads/participates in competitive R&D projects funded by Catalan and EU programs, such as EXAscale Quantification of Uncertainties for Technology and Science Simulation (EXAQUAT). Collaborative networks span Barcelona Supercomputing Center and international consortia.

• Biomechanics
• Mechanobiology
• Computational systems biology
• +۷ مورد دیگر

Jérôme Noailly is a Full Professor at the Universitat Pompeu Fabra (UPF), leading the Biomechanics and Mechanobiology Area at the Barcelona Centre for New Medical Technologies. As head of the Multiscale and Computational Biomechanics & Mechanobiology (MBIOMM) group, he specializes in computational modeling of musculoskeletal systems, with a focus on intervertebral discs, osteoporosis, and inflammation-driven degeneration. Education: BSc in Physical Chemistry, Engineer’s/MSc in Materials Science, MSc in Acoustics, and a PhD in Spine Biomechanics (UPC, 2006). Key career milestones include a Marie Skłodowska-Curie fellowship (2006–2009), Ramon y Cajal fellowship (2016), and ERC Consolidator Grant (2023). He currently co-directs the SIMBIOSys group and coordinates EU projects such as Disc4All. Research interests span biomechanical modeling, computational systems biology, medical imaging integration, and machine learning applications. Over 50 peer-reviewed articles, 150+ conference contributions, and 15 PhD supervisions reflect his prolific output. Awards include the UPC Best PhD Thesis (2009) and leadership roles in the European Society of Biomechanics (ESB), including Vice-President (2022–2024). Teaching includes Biomedical Engineering courses at UPF, and leadership roles in academic administration (e.g., Bachelor’s program coordination, international mobility). His work bridges experimental and computational approaches to address complex biomedical challenges like disc degeneration and osteoarthritis.

• Radiation Hardening
• Fault-Tolerant Systems
• Microelectronics
• +۵ مورد دیگر

Mario Garcia Valderas is an Associate Professor at the Department of Electronic Technology, Universidad Carlos III de Madrid. He holds roles as Coordinator of the Electronic Technology program and Deputy Director of Infrastructure and Laboratories. His research focuses on radiation-hardened systems, fault-tolerant architectures, and embedded systems for aerospace and space applications. His work emphasizes reliability in microelectronics and FPGA-based solutions, addressing challenges like single-event effects in space and high-reliability computing. Key areas include RISC-V processors, heterogeneous computing, and hardware-software co-design for planetary exploration instruments. Publications highlight advancements in radiation-hardening techniques, error detection/recovery architectures, and fault-injection methodologies. Over 100 peer-reviewed articles and book chapters evidence his contributions to microelectronics and embedded systems reliability. He leads the Microelectronic Design and Applications (DMA) research group and collaborates with institutions like CNA for combined irradiation testing. His research spans from theoretical design hardening to practical implementations in aerospace-grade electronics.

• High Performance Computing
• Parallel Computing
• Distributed Computing
• +۶ مورد دیگر

Juan Touriño Domínguez is a Full Professor at the Faculty of Computer Science, University of A Coruña (UDC), where he has taught since 1993. He leads research in the Computer Architecture Group, focusing on High-Performance Computing (HPC) systems. His educational background includes a BS/MS in Informatics (1993) and PhD in Computer Engineering (1998), both from UDC, complemented by research visits to the Edinburgh Parallel Computing Center and CINECA Supercomputing Center. Research Interests: Prof. Touriño specializes in HPC ecosystems including parallel/distributed algorithms, cloud computing infrastructure, Big Data processing frameworks, high-performance networking, compiler design for parallel systems, and quantum computing architectures. His work bridges theoretical computing models with industrial applications. Awards & Honors: Best Student Record Award (1993) Best PhD Thesis Award (1998) Ramón LLull Spanish National Computer Science Award (2020) for entrepreneurship 21 innovation awards for Torus Software Solutions spin-off Leadership & Innovation: Co-founded Torus Software Solutions (2013), serving as Chair until 2024, achieving €2.4M turnover (2024). Secured 190+ R&D projects (87 as PI/co-PI), registered 19 software products, and holds 1 US patent. Directed 10 PhD theses (7 received Best Thesis awards). Academic Service: Program committee member for 96 international conferences (Chair/Vice-Chair for 7), Associate Editor for 5 JCR journals, and co-chair of the 2024 Spanish Informatics Conference (CEDI).

• Distributed Computing
• Cloud Computing
• Edge Computing
• +۴ مورد دیگر

Rafael Moreno Vozmediano is an Associate Professor at the Department of Computer Architecture and Automation, Faculty of Informatics, Complutense University of Madrid. His research focuses on distributed systems, cloud computing, and edge computing, with a particular emphasis on federated cloud networking, resource management, and high-performance computing. He has led or contributed to numerous EU-funded projects, including BEACON, PANACEA, and RESERVOIR, which address challenges in cloud federation, autonomic resource management, and virtualization technologies. He is a co-founder of the OpenNebula cloud management platform, widely adopted in industry and research. He has collaborated with organizations like EADS, Oracle, Microsoft, and NASA, emphasizing applied research and industry transfer. His academic contributions span over 50 publications, with recent work addressing edge-cloud architectures, serverless computing for Mars mission data analysis, and latency-optimized distributed systems. Awards and recognitions include leadership roles in the Globus Alliance, Open Grid Forum, and NESSI Initiative, where he contributed to defining future ITC infrastructure standards. His teaching spans computer architecture and distributed systems at the undergraduate and graduate levels. Current research activities include data-centric cloud architectures, edge analytics for IoT, and federated cloud networking. He actively participates in grants such as EDGEDATA and IN-TIME, focusing on decentralized edge-cloud infrastructures and Mars-Earth dating applications.