Rosa Maria Badia Sala is a Research Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Arquitectura de Computadors and the Barcelona Supercomputing Center (BSC-CNS). She specializes in distributed computing, heterogeneous systems, and task-based programming models. Her work focuses on advancing high-performance computing (HPC), cloud computing, and workflow management for large-scale scientific applications. She holds a Doctorat en Informàtica and has been actively involved in numerous research projects, including contributions to the COMPSs programming framework and the optimization of HPC workflows. Her collaborations span institutions like BSC-CNS and international initiatives such as JLESC. Recent research includes GPU-accelerated computing, quantum optimization algorithms, and digital twins for power networks. Badia's publications span journals like Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems, reflecting her expertise in parallel computing, distributed systems, and real-time data analysis. She has supervised multiple doctoral theses and contributes to research grants focused on HPC and AI integration.
Jose Manuel Dominguez Alonso is a researcher at the University of Vigo , affiliated with the Faculty of Sciences and the Marine Research Center . His work focuses on Earth Physics and Smoothed Particle Hydrodynamics (SPH) applications in marine and renewable energy systems. He is part of the FA9 EphysLab research group at the Ourense campus. Education: PhD in Applied Physics from the University of Vigo (2014) under advisors Dr. Moncho Gómez Gesteira and Dr. Alejandro Jacobo Cabrera Crespo. His research explores fluid dynamics , off-shore wind turbines , wave energy converters , and fluid-structure interaction . He has developed DualSPHPhysics for high-performance computing in marine environments. His recent articles (2024-2025) emphasize teaching numerical modeling to students, 3D hydrodynamic analysis , and coupled simulation techniques . His work bridges computational methods with real-world marine engineering challenges like coastal protection and renewable energy optimization.
Fritz Henglein is a Professor at the Department of Computer Science, University of Copenhagen (DIKU), with affiliations also at Deon Digital. His career spans over three decades, with notable roles including Head of the Algorithms and Programming Languages (TOPPS) research group and Director of the HIPERFIT research center. Research interests include Programming languages and type systems Functional programming and DSLs High-performance computing Contracts and distributed ledger technology Algorithmic logic and formal semantics His work often bridges theoretical rigor with practical applications, particularly in financial information technology and compiler design. Collaborations include leadership in conferences like POPL, ICFP, and PEPM, with a focus on mentoring through academic events and community-building initiatives.
KC Sivaramakrishnan serves as an Adjunct Professor at the Indian Institute of Technology, Madras and CTO of Tarides, bridging academic research and industrial application in programming languages and systems. His dual roles reflect a commitment to advancing both theoretical foundations and practical implementations in computer science. His research spans Functional Programming, Language Runtimes, Concurrency/Parallelism/Distribution, and Weak Memory/Consistency models, with particular focus on the OCaml programming language. Sivaramakrishnan's work addresses fundamental challenges in concurrent and distributed systems through innovative language design and runtime techniques. Analysis of his publication record reveals a consistent trajectory from foundational work on effect handlers and concurrency models (2015-2020) to more recent contributions in verified systems, multicore programming, and distributed data types (2021-2025). His research demonstrates strong continuity in exploring how programming language principles can solve real-world systems challenges. Sivaramakrishnan actively contributes to the academic community through program committee memberships across major PL conferences including POPL, PLDI, ICFP, and SPLASH. His service spans multiple roles from committee member to track chair and diversity co-chair. As CTO of Tarides, he leads industrial efforts in OCaml compiler development and systems programming, maintaining a productive synergy between his academic research and industry leadership. His work with the OCaml community includes significant contributions to multicore support and effect handler implementations.
Carlos Molina Clemente is an Associate Professor of Computer Architecture at Rovira i Virgili University in Tarragona, Spain. He holds a M.Sc. in Computer Engineering (Universitat Politècnica de Catalunya, 1996) and a Ph.D. in Computer Science (UPC, 2005). His research focuses on Computer Architecture, Mobile/Sensor Networks, and Cloud Computing. He leads the Cloudlab research group and coordinates initiatives like GTDAWIN and BIOGEI. Key research areas include multicore scheduling, LoRaWAN protocols, LIDAR data analysis, and serverless computing. He has published over 50 articles in top-tier conferences/journals and supervised three doctoral theses. His work spans projects on cache architectures, real-time systems, and educational multicomputing solutions. Affiliations include the Department of Computer Engineering and Mathematics (DEIM) at URV, with offices at Campus Sescelades (Avinguda Països Catalans 26, Tarragona). Research highlights include contributions to non-uniform cache policies, predictive mobile network algorithms, and energy-efficient sensor networks.
Bruno Esperante Paramos (A Baña, 1988) is an Assistant Professor in Economic History at the Department of Applied Economics, University of Santiago de Compostela (USC). He holds a PhD in Contemporary History from USC with International Qualification (2020), awarded the 7th Valentín Paz Andrade Prize for best PhD work. Faculty Member, Faculty of Economic and Business Sciences Member of Interuniversity Research Center for Atlantic Cultural Landscapes (CISPAC) Part of HISTAGRA research group: Agrarian and political history of the rural world (19th-20th centuries) His research spans Agrarian History , Rural Studies , and Technological Change , focusing on Atlantic Iberian agricultural contexts. Key projects include tractor diffusion analysis in smallholder Galician farms (1939-2000), genetic crop transfers from the Americas (1800-1940), and environmental policy conflicts (1999-2019). Methodology combines archival research, oral history, and socio-institutional frameworks. Notable publications include: Rise and fall of the agricultural tractor sector in Spain (1950-1994) (2021) Old and new plants from the Americas to Europe (2020) Environmental Sustainability and Technological Change (2019) Awards: 7th Valentín Paz Andrade Prize (2020) Collaborations include researchers at USC, University of Barcelona, and Universidad Nacional de Costa Rica. His work examines technology adoption logics that extend beyond economic profit, emphasizing cultural and social factors in small-scale farming contexts. Affiliations: Interuniversity Research Center for Atlantic Cultural Landscapes (CISPAC) HISTAGRA Research Group University of Santiago de Compostela (Current) University of Barcelona (Post-Doc)
Dr. Eugenio Miguel Isern Riutort serves as a Senior Lecturer in the Department of Electronic Technology within the School of Industrial Engineering and Construction at the University of the Balearic Islands (UIB). His academic profile shows active engagement across multiple degree programs including Automation and Industrial Electronic Engineering, Telematics Engineering, and the Master's Degree in Industrial Engineering, where he teaches core courses in Analogue Electronics, Electronic Instrumentation, and related subjects. Beginning his research career in January 1991 with a pre-doctoral scholarship from the Ministry of Education and Science at the Polytechnic University of Catalonia, Dr. Isern Riutort has established three primary research domains. His foundational work focuses on test and verification methodologies for integrated circuits, where he has developed techniques for fault detection through current consumption analysis (both static IDDQ and dynamic IDDT). This research has evolved to address challenges posed by technological parameter variations in modern microelectronics, leading to innovations in predictive testing, oscillation-based testing, and auto-tuning techniques. A second research stream involves designing radiation sensors using standard MOS integrated circuits, with recent work focusing on floating gate MOS transistors that produce outputs proportional to total ionizing dose. Most recently, he has been developing non-conventional computing methodologies accelerated in hardware to enable artificial intelligence applications for massive and highly complex problems. His publication record demonstrates consistent scholarly output across these domains, with particular emphasis on practical applications of theoretical concepts in microelectronics testing and sensor design. The articles reflect a progression from fundamental circuit testing techniques to specialized applications in radiation detection and, most recently, hardware acceleration for AI systems. His work bridges theoretical foundations with experimental validation, as evidenced by his focus on both fault modeling and sensor design with experimental measurements. Dr. Isern Riutort actively supervises Final Degree Projects and Master's Theses in Automation and Industrial Electronic Engineering while teaching across multiple programs. His teaching portfolio spans from foundational Analogue Electronics courses to advanced Electronic Instrumentation Systems, demonstrating comprehensive expertise across the electronics curriculum. He maintains a personal academic website (personal.uib.eu/eugeni.isern) and has established research profiles across major academic networks including ORCID, ResearcherID, Scopus, and Dialnet. As a member of the Electronic Engineering (GEE) Consolidated R+D+I Group at UIB, he participates in a collaborative research framework that supports his work in electronics and related technologies. His office is located in room F107 on the first floor of the Mateu Orfila i Rotger building (Physics building) at the university.
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.
Manuel Eugenio Acacio Sanchez is a Professor in the Department of Computer Engineering and Technology at the University of Murcia's Faculty of Informatics. His research focuses on computer architecture, parallel systems, cache coherence, and hardware transactional memory. He earned his Ph.D. from the University of Murcia in 2003 with a thesis on directory-based coherence protocols for distributed-shared memory multiprocessors. Doctorate: Universidad de Murcia (2003) Academic Rank: Professor Research Interests include Hardware transactional memory Cache coherence protocols GPU and DNN accelerators Energy-efficient computing Parallel architectures Recent Article Trends emphasize cycle-level simulation tools (e.g., STONNE), hardware transactional memory optimizations, and neural network accelerator design. His work bridges microarchitectural improvements and application-specific efficiency in multicore systems. Labs & Teams : Affiliated with the Computer Architecture and Parallel Systems research group, previously part of the Architecture and Parallel Computing group.
Alberto Ros Bardisa is a Professor at the Department of Computer Engineering and Technology within the Faculty of Informatics at the University of Murcia. He holds a Doctorate from the same university, completing his thesis on Efficient and Scalable Cache Coherence for Many-Core Chip Multiprocessors in 2009. His research focuses on computer architecture , with particular emphasis on cache coherence protocols , hardware transactional memory , speculative execution , and many-core systems . He has contributed to optimizing memory subsystems, concurrency management, and scalability in parallel computing environments. His work often bridges hardware-software co-design to enhance performance and security in modern architectures. Dr. Ros Bardisa is affiliated with the Computer Architecture and Parallel Systems research group and previously contributed to the Architecture and Parallel Computing group. His publications (over 130+ listed) reflect a sustained focus on advancing cache efficiency, transactional memory systems, and speculative execution techniques. His current work explores innovative solutions for fine-grain coherence , secure prefetching , and atomic operation optimization , with recent contributions in 2025 addressing novel protocols like WoperTM and MASCOT.
Álvaro Hernández Alonso is a Full Professor in the Department of Electronics at the University of Alcalá (UAH). He previously served as Secretary of the Electronics Department and coordinated the GEINTRA research group (2021–2023), which includes 24 researchers and over 25 active projects. His research focuses on mobile robotics, multisensor integration, ultrasonic systems, NILM techniques, FPGA implementations, and electronic technologies for transport. Education: PhD in Electronics and Systems (University Blaise Pascal & UAH) Electronics Engineering Degree (UAH) Research interests include positioning systems (infrared, ultrasonic, visible light), energy monitoring for assisted living, and embedded hardware architectures. He has secured €1.9M in funding (public and private) over the past decade, leading 4 projects as Principal Investigator. His work has produced 41 indexed journal papers (25 Q1), 6 patents, and 65 conference contributions. Awards: Best Thesis Awards at UAH for two doctoral students under his supervision. He has advised 30+ student theses and 9 doctoral dissertations, many in international co-supervision programs. Funding highlights: 19 public projects (€900k total) and 10 private projects (€1.1M total). His research has achieved 4 consecutive positive evaluations (1997–2020) from Spain's National Research Evaluation Commission.
Fernando Rafael Pardo Seco is a Professor at the Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela. He earned his PhD in 2008 with a thesis titled Software-hardware FPGA-Based System for the solution of the 3D heat equation applications on the non-destructive evaluation of minefields , supervised by Dr. Diego Cabello Ferrer and Dr. Marco Balsi. His research focuses on FPGA-based systems, CMOS architectures, thermal modeling, image processing, and non-destructive evaluation techniques. His academic contributions span engineering education innovation, including methodologies like cooperative learning and e-learning integration. His technological work emphasizes embedded systems, hardware acceleration for numerical simulations, and safety-critical applications such as landmine detection through thermal analysis. Recent publications highlight advancements in hyperdimensional computing architectures, 3D image processing, and thermal simulation tools. His work bridges hardware-software co-design principles with real-world applications in geophysics, security systems, and industrial engineering education.
Ahmed Bouajjani is a Professor at Paris Diderot University (Univ. Paris 7) and a Senior member of the Institut Universitaire de France . He leads the Automata, Structures, and Verification (ASV) pole of the IRIF laboratory and is a member of the Modeling and Verification team. His work focuses on formal methods, program verification, and automata theory, particularly for concurrent and infinite-state systems. Research Interests : Formal specification and verification, program verification, concurrency, model-checking algorithms, verification of infinite-state systems, automata, and logics. Teaching : He teaches courses such as Introduction to Artificial Intelligence and Game Theory , Formal Methods for Verifying Systems , and Algorithmic Program Verification at the university. Scientific Contributions : His recent articles address weak memory models, robustness in distributed systems, and inter-procedural analysis of list-manipulating programs. Keywords include Computer Science , Formal Verification , and Concurrency . Awards : He is a Senior member of the Institut Universitaire de France , a prestigious academic recognition. Labs and Teams : He is affiliated with the IRIF laboratory and its Modeling and Verification team, contributing to collaborative research in automata and verification.
José Carlos Díaz Ramos is a Full Professor at the Department of Mathematics, Faculty of Mathematics, University of Santiago de Compostela. He holds a PhD in Mathematics (2005) and an Advanced Studies Diploma (2003) from the same institution. His academic roles include representation in the University Senate and coordination of the Master's in Mathematics program. His research specializes in differential geometry, focusing on: Classification of orbits in isometric actions on Riemannian manifolds Geometry of submanifolds (particularly isoparametric hypersurfaces) Polar actions and homogeneous foliations in symmetric spaces CR submanifolds in complex hyperbolic spaces He leads the Mathematics Research Group (GI-2136) and co-directs the Teaching Innovation Group for Algebra/Differential Geometry. His publication trends (2013-2025) show sustained focus on geometric structures in symmetric spaces, with methodological emphasis on Lie-theoretic approaches to submanifold classification. Recent work advances understanding of cohomogeneity-one actions in non-compact settings. Scientific Awards: Teaching/Research Excellence Recognition (ACSUG, 2021-2022) Extraordinary PhD Award (2008) European Doctorate (2005) National Mathematics Software Competition Prizes (2004) Multiple extraordinary degree awards (2001-2003) He has supervised 10+ doctoral students (e.g., Tomás Otero Casal, Víctor Sanmartín López) and secured research funding as PI for projects including: PID2019-105138GB-C21: Symmetry and geometric equations (2020-2023) ED431F2017/03: Homogeneity and curvature (2017-2018) PERG04-GA-2008-239162: Isometric actions (EU-funded, 2009-2012)
Fernandez Jimenez, Agustin is a researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Informatics (FIB) and the Computer Architecture Department. He leads the AFJ Research Group focused on Programming Models and belongs to the PM (Programming Models) team. With over 97 documented academic activities, his work spans research, teaching, and innovation. His Orcid identifier is 0000-0003-1723-1772. Research interests include advanced computing paradigms, parallel architectures, and software optimization. His contributions are reflected in 51 indexed journal articles, 15 book chapters, and 3 doctoral theses supervised. He actively participates in competitive R&D projects and serves on conference scientific committees. Key activities include: 36 conference presentations 7 technical documents 5 competitive R&D projects 2 committee memberships Labs/Teams: Active member of the AFJ Research Group (PM - Programming Models).
