جست‌وجوی استاد و پژوهشگر

• Grid Computing
• Distributed Systems
• Computer Architecture
• +۳ مورد دیگر

José Herrera Sanz is an Assistant Professor at the Department of Automation, University of Alcalá (Spain). He holds a Doctorate from Universidad Complutense de Madrid (2008) with a thesis titled Modelo de programación para infraestructuras Grid computacionales , supervised by Dr. Rubén Manuel Santiago Montero and Dr. Ignacio Martín Llorente. His research focuses on Grid computing, distributed systems, and sustainability in programming models. He is affiliated with the PROGRESSUS research group (Programming & Sustainability), exploring topics like distributed task scheduling, grid middleware, and high-performance computing applications. His work spans over 15 peer-reviewed articles since 2003, addressing challenges in virtual machine placement, genetic algorithms, and bioinformatics grid benchmarking. Key contributions include the GridWay DRMAA implementation, optimization of fusion physics workflows, and distributed loop execution frameworks. His research emphasizes sustainable computing practices and scalability in grid environments.

Alexandre Santos Franciscoمشاهده پروفایل

استاد

• porous media
• computational mathematics
• computational fluid mechanics
• +۳ مورد دیگر

Alexandre Santos Francisco is Professor of Fluid Mechanics at Fluminense Federal University (Universidade Federal Fluminense) in Brazil, holding a PhD in Nuclear Engineering. He will soon serve as Visiting Professor at the ERC Advanced Grant project DyCon under Prof. Enrique Zuazua (FAU, University of Deusto, and Universidad Autónoma de Madrid), focusing on computational mathematics and porous media research. His academic credentials include: PhD in Nuclear Engineering (1994–2000), Federal University of Rio de Janeiro Master's Degree in Nuclear Engineering (1990–1993), Federal University of Rio de Janeiro Bachelor's Degree in Mechanical Engineering (1984–1990), Federal University of Rio de Janeiro Internship at Petrobras (1988) Francisco's research centers on porous media, computational mathematics, and computational fluid mechanics, with emphasis on numerical methods for heterogeneous media flows. His work bridges nuclear engineering safety, environmental contaminant transport, and industrial process optimization through advanced simulation techniques. Analysis of his 15 most recent publications reveals dominant trends in multiscale modeling for porous media, parallel computing implementations, and reliability assessment in nuclear systems. Key application areas include waste disposal simulation, steam generator integrity, and multiphase industrial processes, consistently integrating mathematical rigor with engineering challenges. No scientific awards are documented in the provided materials. While student advisement details are absent, his upcoming ERC Advanced Grant project DyCon involvement signifies active grant-funded research. The project will expand his work on mathematical control theory for complex systems under Prof. Zuazua's supervision. He collaborates internationally through the ERC DyCon project, leveraging expertise in numerical methods to address multiscale dynamics in porous media, with future work likely advancing computational techniques for energy and environmental applications.

• Computer Science
• Parallel Computing
• Embedded Systems
• +۳ مورد دیگر

Represa Pérez, César is a faculty member at the University of Burgos , affiliated with the School of Engineering . He has contributed extensively to computer science, parallel computing, and embedded systems through research articles, educational materials, and conference presentations. Education: Doctorate in Parallel & Hybrid Programming (2002). Research Areas: Parallel computing (MPI/CUDA), 3D virtual labs, sensor technology, Android applications, and embedded systems design. Key Collaborations: Co-authored works with José María Cámara Nebreda, Pedro L. Sánchez Ortega, and others on technical education and hardware-software integration. Recent Trends: Focus on smartphone-driven sensors, additive manufacturing monitoring, and educational tools for engineering students.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +۴ مورد دیگر

Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.

FRANCISCO MANUEL FERNANDEZ RIVERAمشاهده پروفایل

استاد

• Computer Architecture
• High-Performance Computing
• Parallel Algorithms
• +۳ مورد دیگر

Francisco Manuel Fernández Rivera is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Faculty of Physics. His research focuses on high-performance computing, parallel algorithms, and LiDAR data analysis. He leads the ARQCOMP research group and is part of the Center for Research in Intelligent Technologies (CITIUS). His work addresses challenges in NUMA systems optimization, sparse matrix computations, and geospatial data processing. He holds a PhD from the University of Santiago de Compostela (1988), with a thesis on algorithm partitioning in hypercube computers. His research spans parallel computing frameworks, LiDAR-based infrastructure analysis, and performance modeling of distributed systems. Recent projects include developing thread migration strategies for NUMA architectures and creating tools for LiDAR data visualization and simulation. Key contributions include advancements in LiDAR-based pathfinding, energy-efficient NUMA system management, and parallelization techniques for irregular codes. His work bridges theoretical computer architecture with practical applications in urban planning and environmental monitoring.

• Computer Architecture
• GPU Systems
• Accelerators for Machine Learning
• +۴ مورد دیگر

Jose Luis Abellan Miguel is a Ramón y Cajal Fellow and Tenure-Track Associate Professor at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech team and is a European R3 researcher. Previously, he held roles at the University of Ferrara, Boston University, and Universidad Católica de Murcia. His research focuses on GPU architectures, accelerators for machine learning, and privacy-preserving computing, particularly Fully Homomorphic Encryption (FHE). He has authored over 70 peer-reviewed publications and contributed to conferences like ISCA, HPCA, and MICRO. Education: Bachelor's, Master's, and PhD in Computer Science and Engineering (University of Murcia, 2007–2012) Research Interests: Abellan's work emphasizes architectural enhancements for GPU systems, customized accelerators for ML and FHE, and efficient synchronization/communication in many-core architectures. His contributions include tools like MGPU-Sim and STONNE for simulation, and frameworks like FIDESlib for FHE on GPUs. Recognition: HiPEAC Paper Awards (2011, 2019–2024) Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Editorial roles at ACM TACO and Frontiers in Electronics Grants & Leadership: Recipient of a Ramón y Cajal fellowship and a Consolidación Investigadora grant. He chairs sessions at conferences like ISPASS and serves on TPCs for venues including DATE, HPCA, and MICRO. His lab collaborates with institutions like Georgia Tech, Northeastern University, and Intel. Labs/Teams: He leads the EcoArTech team, focusing on next-gen computing systems via architectural simulators. Collaborators include researchers from MIT, Boston University, and industry partners like NVIDIA and Intel.

• High-Performance Parallel and Distributed Computing
• Grid Computing
• Cloud Computing
• +۳ مورد دیگر

Rubén Santiago Montero is an Associate Professor at the Department of Computer Architecture and Systems Engineering, Universidad Complutense de Madrid (UCM). He leads research in distributed systems, focusing on resource provisioning in Grid, Cloud, and edge computing environments. His work emphasizes virtual machine management, cloud federation, and utility computing models. Montero co-leads the OpenNebula project, a widely adopted cloud management platform, and contributed to the GridWay metascheduler. Research interests include distributed resource management, virtualization, and interoperability between cloud infrastructures. He participates in major EU projects such as RESERVOIR, BEACON, and PANACEA, advancing cloud and grid technologies. His contributions span over 200 peer-reviewed publications in top journals and conferences, addressing topics like workflow scheduling, elastic resource allocation, and edge-cloud architectures. Education: PhD in Computer Science (UCM). Grants & Projects: Principal investigator in EU-funded initiatives (e.g., RESERVOIR, BEACON) totaling €20M+. Labs/Teams: Distributed Systems Architecture Group at UCM, collaborating with NASA, IBM, and European research networks.

Héctor Chinchero Villacisمشاهده پروفایل

استادیار

• Smart Buildings
• LED Lighting Systems
• IoT Applications
• +۳ مورد دیگر

Héctor Chinchero Villacis is an Assistant Professor in the Department of Electronics at the University of Alcalá. His research focuses on smart lighting systems, IoT integration in buildings, and energy management solutions. He is a member of the GEINTRA research group, which specializes in Electronic Engineering applications for intelligent spaces and transport. Chinchero holds a PhD from the University of Oviedo (2021), where his thesis addressed LED driver development for smart buildings using controllable reactive elements. Education: PhD in Electronics Engineering, Universidad de Oviedo (2021) Research Interests: His work combines power electronics innovation with IoT technologies to enhance energy efficiency in smart infrastructure. Key areas include: Magnetic control of DC-DC converters for LED applications Energy management systems for public lighting and microgrids IoT-based precision agriculture and home energy monitoring Human-centered lighting parameters for wellbeing optimization Recent Contributions: Recent publications highlight advancements in low-cost emergency lighting solutions, magnetic control techniques for power electronics, and distributed energy systems for Amazonian regions in Ecuador. His work bridges theoretical power electronics with practical smart infrastructure implementations. Labs/Teams: Active contributor to the GEINTRA research group, focusing on applied electronic engineering innovations for smart environments.

• Computer Architecture
• Parallel Processing
• Memory Systems
• +۷ مورد دیگر

Llaberia Griño, Jose M. is a faculty member in the Department of Computer Architecture at the Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He has been actively involved in research and academic activities for several decades, contributing significantly to the field of computer architecture. His research interests lie primarily in computer architecture, with a focus on high-performance computing, memory systems, cache management, interconnection networks, and parallel processing. He has made notable contributions to the design and optimization of cache hierarchies, particularly in multicore and non-volatile memory systems, and has explored innovative techniques such as reuse detection, data compression, and systolic array implementations. The trends in his recent publications indicate a sustained focus on improving the performance, efficiency, and reliability of memory systems, especially last-level caches using emerging non-volatile technologies like STT-RAM. His work often combines architectural innovation with practical modeling and forecasting techniques to evaluate system behavior. Among his scientific recognitions is participation in The 2nd Cache Replacement Championship (CRC-2) , highlighting his expertise in cache algorithms. Llaberia has advised doctoral students such as Ana Bosque Arbiol and Rubén Gran Tejero. He has been a key participant in numerous competitive R&D projects, including 'Computación de Altas Prestaciones' and 'HIPEAC 3 - European Network of Excellence', demonstrating sustained funding and collaborative research efforts. He is a member of the CAP - Grup de Computació d'Altes Prestacions (High-Performance Computing Group) at UPC, a leading research group in computer architecture and high-performance systems.

• Computational Engineering
• Numerical Methods for PDEs
• High-order Methods
• +۶ مورد دیگر

Matteo Giacomini is an Associate Professor of Computational Engineering at Universitat Politècnica de Catalunya (UPC), affiliated with the Laboratori de Càlcul Numèric (LaCàN). He is also an affiliated researcher at CIMNE (Severo Ochoa Excellence Centre) and affiliated faculty at IMTech (Institute of Mathematics of UPC-BarcelonaTech). His research focuses on numerical methods for PDEs, including high-order and low-order methods, error estimation, and reduced-order modeling. Applications span computational fluid dynamics, solid mechanics, image segmentation, and industrial sustainability. Education : PhD in Applied Mathematics, École Polytechnique (2016) MSc & BSc in Mathematical Engineering, Politecnico di Milano (2013 & 2010) Research Interests : High-order methods: finite element, discontinuous Galerkin Error & adaptivity: a posteriori estimates, mesh adaptation Dimensionality reduction: reduced order models, scientific ML PDE-constrained optimization: topology/shape optimization Software development: open-source CSE tools Recent Work Trends : Recent articles emphasize multi-fidelity surrogate modeling, domain decomposition for parametric PDEs, and robust finite volume methods for incompressible/compressible flows. He also contributes to HDG method implementations (e.g., HDGlab) and industrial applications of CFD. Labs & Affiliations : LaCàN - UPC CIMNE - Innovative Algorithms & Credible Data-Driven Models groups IMTech - Mathematical Modelling research line

• Logic Programming
• Knowledge Representation
• Graph Databases
• +۷ مورد دیگر

Ana Edelmira Pasarella Sanchez is a Professor in the Department of Computer Sciences at the Faculty of Mathematics and Statistics, Universitat Politècnica de Catalunya (UPC). She is a member of the ALBCOM research group, focusing on algorithms, bioinformatics, complexity, and formal methods. Her work bridges theoretical computer science with practical data systems. PhD in Computer Science, Universitat Politècnica de Catalunya Her research centers on logic programming, knowledge representation, and graph databases. She explores how formal methods can enhance data processing, particularly through dynamic pipelines and trust-aware access control. Her work integrates Datalog, semantic reasoning, and big data frameworks to improve scalability and correctness in knowledge systems. She has contributed to foundational semantics of logic programs and their applications in security and data integration. Her recent publications highlight a trend toward efficient, adaptive data processing systems, especially for graph analytics and knowledge graphs. She compares paradigms like MapReduce and pipelining, advocating for dynamic, functional approaches to big data. Her work increasingly addresses real-world challenges in federated knowledge graphs and access control. SACMAT 2017 Best Paper Award Pasarella has been involved in multiple competitive R&D+i projects, such as 'Modelos y Técnicas para el Procesamiento de Información a Gran Escala' and 'Modelos y métodos basados en grafos para la computación en gran escala,' indicating sustained funding and collaborative leadership. She advises on research direction within her group and mentors through collaborative publications. She has served on the scientific committee of the Latin American Informatics Conference (CLEI), contributing to the broader academic community. She is part of the ALBCOM research group and collaborates extensively with researchers like Fernando Orejas, Maria-Esther Vidal, and Elvira Pino, working on logic-based frameworks for data and security systems.

• Computational Science
• Climate Modeling
• High-Performance Computing
• +۶ مورد دیگر

Mario Cesar Acosta Cobos is a Researcher at the Department of Computer Architecture of the Barcelona School of Informatics (FIB) at the Universitat Politècnica de Catalunya (UPC). His work focuses on optimizing computational performance and energy efficiency in Earth system models, particularly within the EC-Earth3 framework for the Coupled Model Intercomparison Project (CMIP6). He collaborates extensively with the Barcelona Supercomputing Center (BSC) and other international institutions. Key research interests include high-performance computing , climate modeling , parallel computing , and scientific data compression . His contributions address challenges like workflow optimization for HPC platforms, GPU acceleration for atmospheric chemistry models, and minimizing computational costs in Earth system simulations. Recent work highlights include analyzing the computational and energy costs of CMIP6 simulations, improving EC-Earth3 coupling efficiency, and developing optimized GPU implementations for atmospheric chemistry solvers. His publications span journals like Geoscientific Model Development , Computer Physics Communications , and Future Generation Computer Systems . Acosta Cobos has been involved in collaborative projects such as the Joint-Laboratory of Extreme Scale Computing and contributed to HighResMIP, focusing on high-resolution climate models. His research bridges computational science with environmental applications, emphasizing reproducibility, scalability, and sustainable computing practices.

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +۵ مورد دیگر

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.

Fritz Hengleinمشاهده پروفایل

استاد

• Programming Languages
• Functional Programming
• Domain-Specific Languages (DSLs)
• +۶ مورد دیگر

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 Sivaramakrishnanمشاهده پروفایل

استاد مدعو

• Functional Programming
• Language Runtimes
• Concurrency
• +۵ مورد دیگر

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.