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Pere Millán MarcoView profile

Associate Professor

• Computer Communications
• Mobile and Sensor Networks
• Internet of Things
• +3 more

Pere Millán Marco is an Associate Professor in the Department of Computer Engineering and Mathematics (DEIM) at Universitat Rovira i Virgili (URV), Tarragona, Spain. He serves as coordinator for Non-permanent lecturers. His research focuses on computer communications, mobile/sensor networks, and IoT, with emphasis on quality prediction and performance optimization in wireless environments. Education: M.Sc. in Computer Engineering (Polytechnic University of Catalonia, 1992); PhD in Computer Engineering (URV, 2018). Research Interests : Specializes in mobile and sensor network architectures, underwater acoustic networks, real-time communication protocols, and low-cost hardware solutions for educational and environmental applications. His work integrates time series analysis, predictive modeling, and social behavior patterns to enhance network efficiency. Publications Trends : Recent work emphasizes IoT applications in environmental monitoring (e.g., deep aquifer pumping systems), optimization of underwater acoustic networks, and low-cost multicomputer systems for teaching. Consistently explores predictive techniques for network topology and quality-of-service improvements in ad hoc and community networks. Awards & Recognition : Holds a granted US patent related to location-based information systems. Advising & Infrastructure : Involved in DEIM's teaching laboratory development. Active in organizing international conferences like UCAmI and VISIGRAPP. Member of the CloudLab research group, advancing cloud and distributed computing solutions.

• Computational Geometry
• Service Localization
• Spatial Data Analysis
• +3 more

Marta Fort Masdevall is a Lecturer in the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona. She is affiliated with the Graphics and Image Laboratory Research Group (GILAB) and specializes in computational geometry with applications in service localization and spatial/spatio-temporal data analysis. She has participated in five R&D projects funded through public calls and teaches programming subjects. Her research focuses on Computational geometry algorithms Geospatial data processing Temporal data modeling Location-based service optimization She collaborates with the Institute of Computing and Applications and can be reached at Building P4, Office 236 (Girona) or via phone at +34 9338 (internal) / +34 618361888 (external).

• Cartography
• Graphic Engineering
• Historical Geography
• +1 more

Manuel Morato Moreno is a Professor at the University of Seville's Department of Graphic Engineering, affiliated with the School of Engineering. His work focuses on cartographic methodologies, historical geographic representation, and computer-aided design (CAD) applications in engineering and education. University: University of Seville School: School of Engineering Department: Department of Graphic Engineering His research explores the evolution of cartographic practices, particularly in 16th-century Spanish American territories, analyzing empirical and scientific approaches to terrain representation. He has contributed to studies on B-spline surfaces in digital terrain modeling and the integration of CAD tools in descriptive geometry education. Recent publications examine colonial cartography, including maps of the Coatzacoalcos River (2021), Tlacotalpa (2017), and the López de Velasco longitude project (2016). Key themes include historical GIS, topographic visualization, and mapmaking symbolism. Morato Moreno has participated in numerous research projects (e.g., TEP-156 group consolidation) and technical conferences, presenting studies on inclined roadway design (2005), CAD pedagogy (1999), and AutoLISP programming for topography (1997).

Nuria Pelechano GomezView profile

Professor

• Character Animation
• Virtual Humans
• Immersive Environments
• +3 more

Nuria Pelechano Gomez is a Professor at the Department of Computer Science, Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Informatics (FIB). She leads research in the ViRVIG group (Visualització, Realitat Virtual i Interacció Gràfica), focusing on character animation, virtual humans, and crowd simulation. Her work emphasizes immersive environments and real-time rendering applications. Education: PhD in Computer Science from UPC (thesis: 'Real-Time Avatar Animation Synthesis in Virtual Reality' by Yun, H. 2023). Research interests include motion capture, crowd behavior modeling, and VR/AR applications. Recent work explores sparse data reconstruction, avatar customization, and disease spread simulations. She has contributed to over 140 publications, including high-impact journals like ACM Transactions on Graphics and Computer Graphics Forum. Awards include 'Best Teaching Assistant' in 2005 and 2006. Active in academic governance, she serves on program committees for top conferences (e.g., Eurographics, SIGGRAPH Motion in Games). Her projects (e.g., MPACT, XR4ED) are funded by national and EU grants. Labs/Teams: ViRVIG Group at UPC, collaborating with international institutions on projects like CAVAST (Crowd Animation, Visualization, and Simulation Testbed).

• Psychology
• Human Factors
• Data Visualization
• +7 more

Pedro Valero Mora is a Professor at the University of Valencia , affiliated with the Faculty of Psychology and Speech Therapy and the Department of Behavioural Science Methodology . He leads research at the Universitat de València Research Institute of Transit and Road Safety (INTRAS) and contributes to the GIDOP Optimal Development Research Group . PhD in Psychology (Universitat de València, 1996) Specializes in Human-Computer Interaction , Driving Simulation , and Data Visualization Develops tools for Statistical Analysis and Educational Technology Focuses on Transportation Safety , Behavioral Science , and GIS Applications His recent work analyzes driving performance through GIS mapping , fatigue studies , and mindfulness impacts . Publications emphasize automated data visualization and road safety in university campuses. Research spans 26 years, including collaborations on EU COST Action TU1101 and ViSta software development.

Pooran MemariView profile

Researcher

• Geometric Modeling
• Computer Graphics
• Computational Geometry
• +5 more

Pooran Memari is a CNRS Researcher at the Laboratoire d'Informatique de l'École Polytechnique (LIX), UMR CNRS 7161, Institut Polytechnique de Paris, and an Affiliate Professor (part-time) at École Polytechnique. She leads research in geometric modeling within the GeomeriX team at LIX-Inria, focusing on theoretical foundations and applications in accessibility and neurocognition. Her academic journey includes: HDR (Habilitation à diriger des recherches), Institut Polytechnique de Paris, 2024 Ph.D. in Geometric Modeling, INRIA Sophia-Antipolis, 2010 Master in Image and Geometry, University of Nice-Sophia Antipolis, 2006 Engineering Degree, École Polytechnique, 2005 Bachelor in Mathematics, Sharif University of Technology, 2002 Dr. Memari's research bridges geometric modeling, computational geometry, and computer graphics with real-world impact. She pioneers techniques in shape representation, point pattern synthesis, and surface reconstruction, advancing proximity encoding and clustering algorithms. Her work extends to accessibility applications—developing geometric models for visually impaired navigation through multisensory perception—and neurocognition validation via tactile interfaces. This interdisciplinary approach integrates theoretical rigor with practical tools like the CGAL library. Recent publications (2024-2019) reveal a cohesive trajectory in geometric processing: advancing point pattern synthesis through image-based editing (Patternshop), stability-incorporated neighborhood graphs (SING), and multi-class disk distributions; innovating surface reconstruction via Voronoi-based methods (BallMerge); and expanding applications to virtual worlds simulation and neurocognitive accessibility. Key themes include bridging discrete geometry operators with high-dimensional data analysis and translating theoretical insights into tools for visual computing. Dr. Memari actively mentors the next generation of researchers, advising eight PhD students on topics ranging from generalized Voronoi diagrams to neurocognition-driven tactile navigation. She coordinates Computer Science Projects for École Polytechnique's Bachelor program since 2019 and co-leads the Interaction, Graphics & Design master's program at IP-Paris. Her leadership extends to editorial roles at Computer Graphics Forum and Graphical Models Journal, alongside prominent conference positions including SGP Program Co-Chair (2023) and Eurographics STARs Co-Chair (2025). As a core GeomeriX team member, she drives collaborative projects in geometric modeling and virtual environments. She coordinates the LIX Seminar since May 2025 and serves on the French Eurographics Chapter board, fostering community engagement through initiatives like the IGD master's program and Eurographics symposia.

• Lambda Calculus
• Functional Programming
• Computational Complexity
• +5 more

Beniamino Accattoli is a Researcher in Computer Science at Inria , where he has been a member of the PARTOUT team since January 2015. His work centers on higher-order computation, particularly the lambda calculus, connecting theoretical mathematics with practical implementations of functional languages. Current Projects : CANofGAS (2022–2025), COCA HOLA (2016–2021). Recent Events : Program Committee member for LSFA 2025, ICFP 2024, and FSCD 2024; lecturer at MPRI 2023–24. Research Themes : Internal : Developing mathematical theories of sharing in lambda calculus to enhance efficiency in functional language implementations. External : Establishing reasonable cost models for time and space in lambda calculus, resolving long-standing open problems in computational complexity. Scientific Awards : Distinguished Paper Award at ICFP 2022. Best Paper Award at RTA 2013. Academic Contributions : Co-inventor of the Linear Substitution Calculus , a canonical framework for higher-order computation with sharing. Proved polynomial equivalence between lambda calculus and Turing machines for time complexity with Ugo Dal Lago. Refuted token-machine conjectures and introduced environment-based machines for space complexity with Ugo Dal Lago and Gabriele Vanoni.

Toni SusinView profile

Associate Professor

• Numerical Methods
• Physically-Based Simulation
• Computer Graphics
• +4 more

Toni Susin is an Associate Professor of Applied Mathematics at UPC-BarcelonaTech. He leads the Dynamic Simulation Lab, part of the ViRVIG research group in Barcelona. His research focuses on numerical methods, physically-based simulation, and applications in computer graphics and biomechanics. Key research areas include Physically-Based Animation Surgical Simulation Biomechanical Applications Image-Based Modeling Fluid Animation Techniques His recent work spans microbiome data analysis, sports performance tracking, and biomedical simulations. While no scientific awards are listed, his career includes founding three tech companies and mentoring numerous PhD/Master's students in computational methods and simulation technologies.

Marta AriasView profile

Associate Professor

• Machine Learning
• Data Mining
• Design and Analysis of Algorithms
• +3 more

Marta Arias is an Associate Professor in the Computer Science Department at Universitat Politècnica de Catalunya (UPC), Barcelona, and a member of the LARCA research group. She has held academic positions since 2007, including roles at Columbia University and the University of Edinburgh. Her research focuses on Machine Learning, Data Mining, Algorithm Design, and Logic in Computer Science. She teaches advanced courses in Machine Learning, Information Retrieval, and Complex Networks at undergraduate and master's levels, including the Erasmus Mundus program in Data Mining and Knowledge Management. Educations: PhD in Computer Science from Tufts University (2000-2004), Postgraduate Studies at University of Edinburgh (1999-2000), B.Sc. in Computer Science from UPC (1992-1997). Professional experience includes software engineering and research roles in New York and Barcelona. Research highlights include developing algorithms for real-time ranking systems, Twitter-based financial forecasting, and causal network analysis. Notable contributions include the 'Best Paper Award' at AIPESW@ECAI 2020 and a 3rd place award in football performance research. Her work spans theoretical foundations (e.g., Horn clause learning) and applied domains like cybersecurity, healthcare analytics, and energy systems. Teaching responsibilities include labs and lectures on Machine Learning, Information Retrieval, and Programming, with active involvement in curriculum design and pedagogical innovation. Ongoing projects include enterprise risk analysis, synthetic data generation, and network modeling.

• Computer Vision
• Machine Learning
• 4D Vision
• +9 more

Adrian Hilton is a Professor of AI and Computer Vision at the University of Surrey, UK. He serves as the Founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing. His research focuses on advanced fields such as 4D Vision, Computer Graphics, and AI-driven Digital Doubles. He holds prestigious fellowships including Fellow of the Royal Academy of Engineering, IET Fellow, and IAPR Fellow. His work spans interdisciplinary areas like Virtual/Augmented Reality, Light Fields, and Audio-Visual Signal Processing. No specific grants, students, or recent publications are detailed in the provided text, but his leadership roles highlight significant contributions to AI and computer vision research.

Ana Puig PuigView profile

Professor

• Gamification in Education
• Serious Games
• 3D Point Clouds
• +9 more

Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life

• Graphic Engineering
• Industrial Design
• Geographic Information Systems
• +3 more

Jorge Manuel Mercado Colmenero serves as a Professor in the Department of Graphic Engineering, Design and Projects at the University of Jaén, actively contributing to the Research and Development in Graphic Engineering, Industrial Design and GIS group. His educational foundation includes a 2019 PhD from the University of Jaén, where his doctoral research focused on automated analysis of plastic parts manufacturing and injection molds , supervised by Dr. Cristina Martín Doñate and Dr. Miguel Ángel Rubio Paramio. Dr. Mercado Colmenero's interdisciplinary research spans: Advanced computational methods in Graphic Engineering Industrial Design optimization Geospatial analysis through Geographic Information Systems Plastics manufacturing process automation Injection molding precision engineering Digital prototyping for industrial applications His work bridges theoretical graphic engineering principles with practical industrial manufacturing solutions, particularly in polymer processing technologies.

• Geometric Shape Analysis
• Deep Learning
• 3D Shape Matching
• +2 more

Maks Ovsjanikov is Professor of Computer Science at École Polytechnique and Visiting Research Scientist at Google DeepMind. Leading the GeomeriX team, his ERC-funded research develops deep learning methods for 3D shape analysis with applications in protein modeling and computer vision. Recent breakthroughs include CrAI for antibody detection in cryo-EM data and surface-based protein representations. His group pioneers neural approaches for non-rigid shape matching and geometric deep learning fundamentals. Collaborations span structural biology, with work featured at top venues including SIGGRAPH, CVPR, and Nature journals.

• Computer Architecture
• Vector Processors
• GPU Microarchitecture
• +9 more

Roger Espasa Sans is a senior academic and researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Architecture. He has made significant contributions to computer architecture, particularly in vector processing, GPU design, and performance optimization. Universitat Politècnica de Catalunya (UPC) Faculty of Informatics of Barcelona (FIB) Department of Computer Architecture His research focuses on advanced computer architecture, including vector and superscalar processors, memory systems, instruction-level and data-level parallelism, GPU microarchitecture, and performance modeling. His work bridges theoretical design and practical implementation, especially in high-performance and embedded systems. The recent articles highlight a strong trend in GPU and shader optimization, memory redundancy elimination, and performance modeling. His publications span prestigious venues such as IEEE Microarchitecture Symposium, IEEE HPCA, and The Visual Computer, indicating sustained impact in the field of computer systems and architecture. Premiada (Awarded activity) Roger Espasa Sans has advised several doctoral students, including Manel Fernandez Gomez and Francisca Quintana Domínguez, contributing to the next generation of computer architects. His collaborative network is extensive, involving key figures like Mateo Valero and international institutions. While specific grants are not listed, his prolific output suggests sustained funding. He has contributed to major research groups such as CAP (High Performance Computing Group). He is a core member of the CAP - Grup de Computació d'Altes Prestacions (High Performance Computing Group), and has also been associated with PM - Programming Models and ARCO - Microarchitecture and Compilers. His work often involves simulation frameworks like JINKS and Asim, indicating a strong focus on performance evaluation and modeling.

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +5 more

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.