Dr. Juan Mompean Esteban is a researcher affiliated with the Optics Laboratory at the University of Murcia. He completed his doctoral thesis in 2021 on "Development of Real-Time Systems Using Graphics Accelerators for Human Visual Optics" under the supervision of Dr. Pablo Artal Soriano and Dr. Juan Luis Aragón Alcaraz. Research Focus: Adaptive optics systems for ocular correction Wearable vision enhancement devices Contrast sensitivity and defocus dynamics GPU/FPGA accelerated optical processing Liquid crystal-based optical modulation Medical imaging with swept-source OCT Technical Expertise: Combines optical engineering with computational methods to address visual impairments through innovative device development.
Pere Pau Vázquez Alcocer is an Associate Professor in the Department of Computer Science at Universitat Politècnica de Catalunya (UPC), affiliated with the ViRVIG research group and the School of Informatics (FIB). With a PhD in Software from UPC (2003), he specializes in Scientific Visualization , Data Visualization , and Virtual Reality applications. His work bridges Computer Graphics with Medical Data Visualization and Molecular Visualization , emphasizing AI applications to visualization . His research spans two decades, focusing on Interactive volume rendering VR-based biomedical analysis Perceptual optimization in visualizations Urban mobility data modeling with recent publications in Computer Graphics Forum , IEEE CG&A , and arXiv on AI-driven visualization frameworks and molecular interaction techniques. His 15 most recent publications (2025-2023) demonstrate trends in AI integration for data visualization, immersive analytics for biomedical applications, and optimization of rendering techniques on mobile and VR platforms, with keywords spanning Computer Science , Neuroscience , and Urban Planning . Awarded the Best PhD thesis (2003) and Best Paper at international conferences, he has supervised 8 PhD students including Pedro Hermosilla (now Assistant Professor at TU Wien) and Jesús Díaz (now Associate Professor at Universitat de Vic). Teaching for over 20 years at UPC across five schools, he currently leads courses in Data Visualization , Scientific Visualization , and Virtual Reality .
Gustavo Ariel Patow is a Full Professor (Catedrático) at the Department of Computer Science, Applied Mathematics and Statistics, University of Girona, Spain, where he leads the Geometry and Graphics Group (GGG) within the ViRVIG Research Center. He earned his PhD from the Universitat Politècnica de Catalunya, supervised by Xavier Pueyo and Alvar Vinacua, with a focus on Inverse Rendering Problems in Computer Graphics. Following a major health event in 2017 (cardiac arrest), he transitioned his research focus from Computer Graphics to Computational Neuroscience, leveraging his computational expertise to study brain function and disease. His research spans Computational Neuroscience (whole-brain dynamics, Alzheimer's modeling, brain disorders) and Computer Graphics (rendering techniques, procedural modeling). Recent work demonstrates strong interdisciplinary integration between these domains, particularly in: Whole-brain network modeling of neurological conditions Biophysical simulations of Alzheimer's pathology Advanced rendering for medical visualization Computational frameworks for cognitive states He actively advises doctoral candidates including Facundo Roffet, Albert Juncà, David Aquilué Llorens, and Kenneth Alonso Muñoz, and has supervised over 20 Master's/PhD students. As coordinator of UdG's Videogame Development and Design degree, he bridges academic research with applied technology training.
Diego Gutierrez is a Full Professor at the Computer Science Department of the Universidad de Zaragoza, Spain. He leads the Graphics & Imaging Lab at the I3A Institute and is part of the Vision, Image and Neurodevelopment Group at the IIS Aragon Institute. His research focuses on light transport simulation, computational imaging (including non-line-of-sight imaging), virtual reality, material perception, and applied perception for medical applications (via his startup DIVE Medical). He has received the 2022 Eurographics Outstanding Technical Contributions Award and an ERC Consolidator Grant (2016). Education & Affiliations: No explicit education details provided, but he has been a visiting researcher at MIT, Stanford, Yale, UCSD, and other institutions. Research Themes: Physically-based light transport simulation (transient rendering, global illumination) Computational imaging (NLOS imaging, diffractive wave propagation) Virtual reality (user behavior modeling, multimodal perception) Material appearance representation (perceptual metrics, intuitive editing) Medical imaging (visual function assessment) Professional Contributions: Editor in Chief of ACM TAP Associate Editor for ACM TOG and Computer Graphics Forum Program Chair for international conferences Publications & Impact: Over 100 influential papers, including a breakthrough Nature paper on NLOS imaging using diffractive wave propagation. His work on transient rendering, phasor fields, and perceptual material editing has driven field advancements. Grants & Recognition: ERC Consolidator Grant (2016) for intuitive material editing research Named among the 100 most influential researchers of the decade Recipient of the 2022 Eurographics award for technical contributions Labs & Teams: Leads the Graphics & Imaging Lab (I3A Institute) and co-founded DIVE Medical for clinical visual diagnostics. His team's work bridges computer graphics with perceptual science and clinical applications.
Jose Rafael Magdalena Benedicto is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is a core member of the Intelligent Data Analysis Laboratory (IDAL), where he leads research in machine learning, biomedical signal processing, and data science applications in health and industry. Doctorate: Universitat de València (2000) His research interests span machine learning , intelligent data analysis , biomedical engineering , neurocognitive disorders in metabolic and psychiatric diseases , algebraic geometry , and quantum machine learning . His work bridges theoretical advances in symbolic computation and applied AI with real-world problems in medicine and industrial systems. Recent publications show a strong trend in applying machine learning to anomaly detection in enterprise systems, asymptotic analysis of algebraic curves and surfaces, and identifying inflammatory and metabolic biomarkers for cognitive impairment in diabetes and psychiatric disorders. He also explores multimodal video analysis for public safety and quantum reinforcement learning. While no scientific awards are listed in the provided text, his extensive publication record and leadership in research projects indicate significant scholarly contributions. He has supervised doctoral students, including Dr. Juan Francisco Guerrero Martínez and Dr. Javier Calpe Maravilla. His research is supported by ongoing projects in intelligent data analysis, though specific grants are not detailed. He contributes to educational innovation, having developed tools like BiomedChallenge to enhance data science learning. He is actively involved in the Intelligent Data Analysis Laboratory (IDAL) , which focuses on developing and applying advanced data analysis techniques to real-life applications in biomedicine, education, and industry.
Damien Rohmer is a Professor of Computer Science at École polytechnique , Institut Polytechnique de Paris. He leads the VISTA research team at LIX (CNRS UMR 7161) and serves as Deputy Director of LIX since 2024. Current PhD supervisions with ANR/CIFRE funding Open-source tool development for computer graphics education Editorial roles in SCA, MIG, SIGGRAPH conferences His research spans 3D modeling , real-time animation , and user-interactive simulation , with applications in entertainment, medical sciences, and design. Key sub-areas include: Character motion retargeting Multi-scale natural phenomenon simulation Field-based implicit modeling Wearable technology visualization Gesture-controlled animation systems Recent publications in SIGGRAPH , Eurographics , and SCA earned multiple Best Paper/Poster awards in 2024-2025. He co-develops the CGP library for educational 3D programming and maintains community resources for French computer graphics institutions.
Rafael Ballester-Ripoll is an Assistant Professor at IE University's School of Science & Technology, specializing in Data Science and Machine Learning. Before joining IE in 2019, he held postdoctoral positions at ETH Zurich and the University of Zurich (UZH). He earned his PhD in Computer Science from UZH (2017), and BSc/MSc degrees in Mathematics and Computer Science from the Technical University of Catalonia-UPC (2012). His research focuses on low-rank tensor decompositions, explainable AI, sensitivity analysis, and scientific visualization. Key contributions include advancements in large-scale visualization, data compression, and uncertainty quantification. Recent work (2025) explores CSR authenticity in AI-era social media, hexagonal A-Star algorithms for weather routing, and entropy coding for tensor networks. Publications span journals like Journal of Machine Learning Research, IEEE Transactions on Visualization and Computer Graphics, and SIAM/ASA Journal on Uncertainty Quantification. He actively participates in conferences such as IEEE VIS and EuroVis, and co-developed tools like tntorch and VIAN. His research trends emphasize tensor-based methods applied to interdisciplinary domains, including quantum computing, Bayesian networks, and probabilistic graphical models. Collaborative projects highlight applications in ocean engineering, film analysis, and recommender systems. Ballester-Ripoll has contributed to IE's Research Datalab initiatives, though no formal awards or grants are explicitly noted in the provided texts. His work bridges theoretical foundations with practical tools for data-driven decision making.
Diego Borro is a Full Professor (Catedrático) in Computer Science and Artificial Intelligence at TECNUN, Technological Campus of the University of Navarra , where he has been part of the faculty since 2004. He is a leading researcher at CEIT since 2003, focusing on Robotics, Virtual/Augmented Reality, Computer Vision, and Artificial Intelligence. His academic credentials include a PhD in Computer Science (2003) and an MS in Computer Science (2000) from the University of Navarra and University of Basque Country respectively. His research spans from 3D tracking and haptics to industry 4.0 applications and medical robotics, with over 34 journal papers and 65 conference articles. He has supervised 14 doctoral theses and participated in 55+ research projects. His leadership roles include heading CEIT's Simulation Unit (2012-2016) and Vision and Robotics (V&R) research line (2016-2022), currently serving as main researcher at Intelligent Systems for Industry 4.0 group (SS4I4). Accredited as Full Professor (Catedrático) by ANECA (3 sexenios) Member of IEEE, ACM, and Eurographics societies Key projects: STEPbySTEP exoskeleton benchmark, WARM AR maintenance systems, and inner ear drug delivery research
Francisco Rodríguez Rodríguez is a Permanent Labor Professor (Catedrático de Universidad) at the Universidad Pablo de Olavide, affiliated with the School of Humanities and Department of Philology and Translation. His research focuses on translation and interpreting, particularly in the domain of comics and graphic narratives, with an emphasis on intercultural communication. He earned a PhD from the University of Córdoba in 2017 with a thesis on the translation of Franco-Belgian comics, specifically Jerry Spring, supervised by Dr. Manuela Álvarez Jurado and Dr. María del Carmen Balbuena Torezano. His research explores translational challenges in graphic narratives, including orality representation, multimodal translation, and audiovisual translation synergies. His publications span translation technology, pedagogical frameworks, and intercultural adaptation in comics. 2023: Translation Problems in Superhero and Western Graphic Narratives 2023: Seminario de traducción de cómics francés-español 2023: La (poca) formación en traducción de cómics en España His work bridges translation theory with practical applications in publishing and education, contributing to both academic and industry advancements.
Jesus Alonso Alonso is a Researcher at the Department of Computer Science within the Faculty of Informatics of Barcelona (FIB) at the Technical University of Catalonia . His work bridges computational methods with geotechnical engineering challenges. Research Interests: Digital terrain modeling, bioengineering, computer-aided design, virtual reality, simulation, and video game development. His publications also reflect expertise in soil mechanics, landslide analysis, and mineral precipitation impacts on infrastructure. Key Projects: Development of novel data structures like the grounded heightmap tree for terrain representation, real-time rendering of dynamic terrains, and geotechnical studies on expansive claystones and liquefaction-induced landslides. Collaborations: Active with research groups such as ViRVIG (Visualization, Virtual Reality, and Graphic Interaction) and GIE (Informatics in Engineering).
Ane Irizar-Arrieta is a Researcher affiliated with the University of Deusto's DeustoTech Social Challenges Unit. She holds degrees in Art Electronic and Digital Design and Graphic Design from Universitat Ramon Llull (Barcelona) and a master's in User Experience Design from the Universidad Internacional de la Rioja (2016). She is currently pursuing a PhD in Engineering Program for the Information Society and Sustainable Development at the University of Deusto. Her primary role has been as a Research Assistant at DeustoTech from October 2016 to December 2021, where she focused on Human-Computer Interaction (HCI), User Experience (UX), and human-centered design applied to sustainability challenges. Her research interests revolve around leveraging IoT and smart technologies to foster sustainable behavior through tangible and digital interfaces. She has contributed to projects involving experience design, user research, and behavior change interventions in smart environments. Notable collaborations include work with Diego Casado-Mansilla and Diego López-de-Ipiña, among others, on frameworks for energy efficiency and behavior change in public and workplace settings. Publications highlight her work on eco-feedback systems, adaptive user models (FOX Model), and the socio-economic factors influencing sustainable behavior. Her interdisciplinary approach bridges technology, design, and environmental science to address societal challenges. Projects include applied research, innovation initiatives, and collaborative efforts with industry and academic partners. Ane’s contributions span 15 publications, including journal articles, conference papers, and a book section. She has been involved in 6 projects (2 as researcher, 4 as research assistant), emphasizing practical applications of her theoretical work. Despite no explicit awards listed, her prolific publication record and active role in interdisciplinary projects underscore her academic and professional impact.
Elena Molina Lopez is a researcher at the Department of Computer Science within the Barcelona School of Informatics at Universitat Politècnica de Catalunya · BarcelonaTech (UPC), actively contributing to the ViRVIG research group focused on visualization, virtual reality, and graphical interaction. Her work develops immersive analytics systems for molecular visualization and 3D interaction techniques. Her academic background includes: PhD in Computer Science (thesis: 'Advanced Interaction in Immersive Analytics Systems for Molecular Visualizations') Her research spans virtual reality, molecular visualization, 3D interaction, data visualization, human-computer interaction, and computer graphics. She investigates user perception in visualization techniques, with recent work addressing molecular atom selection accuracy, heatmap color palette effects, and statistical visualization design guidelines. Her publications demonstrate technical innovation through user studies and system development. Analysis of her 2020-2024 publications reveals consistent contributions to top venues like Computers & Graphics and EuroGraphics, with emphasis on VR interaction techniques for molecular structures and perceptual studies in data visualization. Key trends include improving selection accuracy in immersive environments and establishing evidence-based design principles. She collaborates extensively on research projects including 'Entornos 3D de alta fidelidad para Realidad Virtual y Computación Visual', working with prominent researchers such as Pere Pau Vazquez (8 collaborations), Nuria Pelechano, and Alejandro Rios across health, architecture, and urban applications. As a core member of the ViRVIG research group, she participates in a dynamic team advancing visualization technologies through interdisciplinary approaches and industry partnerships.
David Fuentes Jiménez is a Researcher at the Department of Electronics, Universidad de Alcalá, Spain. He is affiliated with the GEINTRA research group focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (2021) explored deformable object reconstruction using deep learning techniques, supervised by Dr. Daniel Pizarro Pérez. His research spans computer vision, biomedical signal processing, and smart environments. Key research interests include neural radiance fields in surgery, photoplethysmographic signal dynamics for physiological assessment, and real-time action recognition using depth data. He has contributed to EU projects like GEMS through sensory module development (Ruby). His work integrates deep learning with 3D reconstruction, wearable sensors, and overhead camera systems. Publications highlight innovation in medical imaging, stress detection via PPG signals, and robust people detection algorithms. His work frequently appears in top venues, showcasing interdisciplinary approaches between computer science, biomedical engineering, and robotics. Active in open datasets like GOTPD1, he bridges theory and practical applications in smart spaces and healthcare technology. Education: PhD in Electronics Engineering (2021), Universidad de Alcalá Labs/Teams: GEINTRA Group
Marie-Paule Cani is a Professor of Computer Science at École Polytechnique (Institut Polytechnique de Paris), where she serves as Dean of the Master of Science and Technology program and leads the STREAM research team at LIX Laboratory (CNRS/IP Paris). Her research bridges computer graphics, HCI, and AI, focusing on expressive 3D modeling, animation, and virtual environments. Education: 1987: M.Sc. in Computer Science, École Normale Supérieure & University Paris XI 1990: Ph.D. in Computer Graphics, University Paris XI 1995: Habilitation in Computer Science, Institut National Polytechnique de Grenoble Research Interests: She pioneers user-centered tools for 3D content creation, combining gesture-based interfaces (sketching, sculpting) with knowledge-enhanced procedural models. Key areas include implicit surfaces, physical simulation, AI-driven animation, and accessible tools for non-experts. Her work enables intuitive design of complex shapes, terrains, and dynamic scenes. Publication Trends: Recent work (2023–2025) emphasizes AI-integrated graphics, including controllable natural phenomena (volcanoes, erosion), sketch-based bio-visualization, reinforcement learning for animation, and real-time character control. Cross-disciplinary applications span geology, biology, and cinematography. Awards & Honors: ACM Steven A. Coons Award (2023) French Academy of Sciences (2020) ACM SIGGRAPH Academy (2019) ERC Advanced Grant EXPRESSIVE (2012–2017) CNRS Silver Medal (2012) Leadership & Grants: She founded research teams (STREAM, Imagine, Evasion) and secured major funding: ERC Advanced Grant, Google-École Polytechnique AI Chair (2018–2021), Horizon 2020 project CLIPE (2020–2024), and Hi!Paris Creative AI Fellowship (2021–2024). She mentors researchers in geometric modeling, animation, and AI. Labs & Teams: Directs the Modeling, Simulation & Learning pole at LIX (2019–2023). Founded STREAM (Structure Representation for Animation/Modeling) and Imagine (Inria/Grenoble teams), advancing real-time graphics and procedural content.
Antonio Huerta is a Professor of Applied Mathematics at the Universitat Politècnica de Catalunya (UPC) and Director of ICREA. He leads the Laboratori de Càlcul Numèric (LaCàN) , focusing on numerical methods for scientific and engineering problems governed by mechanics and interdisciplinary principles. His research spans applied mathematics, computational science, and fluid dynamics. Education : Ph.D. from Northwestern University (1987), preceded by studies at the Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos de Barcelona (1983). His work emphasizes numerical methods , particularly hybridizable discontinuous Galerkin (HDG), finite volume methods, and proper generalized decomposition (PGD), applied to problems in incompressible/compressible flow simulation , fluid-structure interaction , and magneto-mechanical coupling . Recent projects include data-driven design for automotive battery optimization ( GREEN ) and MATLAB-based open-source tools. Key collaborations include co-authoring the textbook Finite Element Methods for Flow Problems with Jean Donea and developing error estimation frameworks for finite element solutions. His publications highlight interdisciplinary applications in mechanics, mathematics, and computer science.
