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 .
Javier Rodriguez Cuadrado is a PartTime Lecturer in the Department of Mathematics Applied to Industrial Engineering at Universidad Politécnica de Madrid (Technical University of Madrid). He joined the department as a member on February 15, 2020, and became a part-time faculty member on September 1, 2024. He is also affiliated with the Industrial Design and Technology research group since December 9, 2024. Research Interests: Applied Mathematics Mathematics Interdisciplinary Applications Computer Science Applications Computer Graphics and Computer-Aided Design Artificial Intelligence
Antonio Chica is an Associate Professor at the Department of Computer Science, Universitat Politècnica de Catalunya (UPC), specializing in geometry processing, real-time rendering, and virtual reality applications. His research focuses on 3D reconstruction, procedural landscape generation, and LiDAR data optimization. Teaching at Terrassa School of Engineering and Barcelona School of Informatics Member of the Modeling, Visualization, Interaction and Virtual Reality Group Key research areas include: Geometry processing techniques for signed distance fields Procedural generation of 3D landscapes and vegetation Game development frameworks and VR training systems Efficient algorithms for massive point cloud rendering His recent publications emphasize Bayesian reconstruction methods, adaptive SDF approximations, and optimized VR training tools. He actively collaborates on LiDAR data calibration, terrain modeling, and cultural heritage visualization projects. Antonio Chica's work integrates advanced graphics algorithms with practical applications in urban modeling, medical training, and historical preservation. He develops open-source tools like MeshPipe to simplify geometry processing workflows.
Imanol Munoz-Pandiella is an assistant professor in the Computer Science Department at Universitat Politècnica de Catalunya – BarcelonaTech (UPC) and a core member of the ViRVIG research center . His work bridges computer graphics and cultural-heritage science, with a focus on 3-D reconstruction, appearance modeling, and interactive visualization of historical artefacts. Education Ph.D. in Computer Graphics (2017) – joint programme between Université de Limoges and Universitat de Girona (supervisors: Stéphane Mérillou, Xavier Pueyo, Carles Bosch, Nicolas Mérillou) Pre-doctoral stay – Yale University (supervisor: Holly Rushmeier) Research Interests Dr Munoz-Pandiella investigates the intersection of Computer Graphics and Cultural Heritage . Current themes include: Appearance change and weathering analysis in architectural heritage High-fidelity 3-D reconstruction from sparse data Interactive narrative frameworks for 4-D (time-varying) heritage models Physically-based rendering and differentiable inverse rendering Color constancy and illumination-robust imaging for conservation science Publication Landscape His 2024–2025 output is dominated by 4-D cultural-heritage visualization , digital restitution of lost or weathered artworks , and real-time rendering techniques . Earlier work (2021–2022) concentrated on LiDAR intensity correction and neural colorization . Collectively, these publications map onto broad disciplines of Computer Graphics , Computer Vision , and Digital Heritage , with sub-fields spanning differentiable rendering, mural-painting restoration, and interactive 3-D exploration. Scientific Awards & Grants Assistant Professor position award – UPC, 2023 Post-doctoral fellow award – DTIC, Universitat Pompeu Fabra, 2023 Participant and grantee – European Cloud for Heritage OpEn Science (ECHOS), 2024 Service & Leadership Program Chair, CEIG 2026 (with Elena Garces) Program Co-Chair, Web3D 2023 Guest Editor, Computers & Graphics special issue on Web3D 2023 Program Committee member, CEIG 2023 Laboratory & Collaborations Dr Munoz-Pandiella conducts his research within the ViRVIG research center at UPC, collaborating closely with cultural-heritage stakeholders across Europe. His interdisciplinary teams integrate art historians, conservation scientists, and graphics engineers to deliver open-source tools and datasets for heritage documentation and dissemination.
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.
José Gil Marichal Hernández serves as an Associate Professor in the Department of Industrial Engineering at the University of La Laguna, specializing in Signal Theory and Communications with expertise in optical sensor systems and computational imaging. Education: PhD in Industrial Engineering, Informatics and Environmental (2012) from University of La Laguna. Dissertation: 'Obtaining three-dimensional information of a scene from plenoptic sensors using signal processing with graphics hardware' supervised by Dr. Fernando Luis Rosa González and Dr. José Manuel Rodríguez Ramos. Research Focus: His work bridges theoretical signal processing with practical computer vision applications, particularly in developing GPU-accelerated algorithms for plenoptic sensor data to reconstruct 3D scenes. This research enables advanced optical metrology through wavefront phase analysis. Academic Affiliation: He contributes to the Official Doctoral Program in Industrial Engineering, Computer Science and Environmental while actively participating in the 'WFPs Sensores de fase de frente de onda' (Wavefront Phase Sensors) research group.
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.
Dr. Pilar Fuster Parra is a Professor at the Department of Mathematics and Computer Science, University of the Balearic Islands (UIB), where she has held a position since 2001. She earned her PhD in Computer Science from UIB (1996) and a degree in Mathematical Sciences from the University of Valencia (1988). Her research focuses on probabilistic graphical models, decision analysis, data mining, and classification models with real-world applications. Education : Graduate in Mathematical Sciences (University of Valencia, 1988) PhD in Computer Science (University of the Balearic Islands, 1996) Research Interests : Probabilistic graphical models for uncertainty representation Decision analysis techniques and logical diagnostic reasoning Applications in data mining and classification models International Experience : Two-year postdoctoral stay at CNRS's LAAS (France) Short research visits to Nancy (France) and Krakow (Poland) Teaching Portfolio : Undergraduate courses: Mathematics II - Calculus (Computer Engineering, Industrial Electronics, etc.) Master's courses: Statistical Learning, Massive Data Analytics, Simulation Tools Research Groups : Soft Computing, Image Processing, and Aggregation (SCOPIA) Global Health (GH) group
Dr. Iván González is a Senior Lecturer at the University of Castilla-La Mancha (UCLM), affiliated with the Faculty of Social Sciences and Information Technologies. He holds a M.Sc. and Ph.D. in Advanced Computer Technologies from UCLM. As a member of the MAmI Research Group, his work focuses on Assistive Technologies, Smart Health, and IoT-based solutions for healthcare monitoring. He has authored 16 JCR articles and supervised 2 PhD theses with 4 ongoing. Education: M.Sc. in Advanced Computer Technologies, UCLM Ph.D. in Advanced Computer Technologies, UCLM His research interests emphasize Quantitative Gait Analysis, Frailty assessment, and Mild Cognitive Impairment screening using wearable sensors and mobile technologies. Recent projects include the EU-funded TAICare initiative (2021-2023) and Just Move! (2022), focusing on movement analysis and cognitive health monitoring. Key Contributions: - Developed a 3D motion capture system for gait automation - Created emotion recognition algorithms using gait patterns - Designed energy-efficient wearable data storage systems - Pioneered conversational agents for IADL monitoring Academic Service: 2nd Academic Year Coordinator (2020, 2024–present) Computer Engineering Degree Coordinator (2020–2024) Lab Affiliation: MAmI Research Group (specializing in Ambient Intelligence and IoT solutions).
Pedro Delicado is a Full Professor at the Department of Statistics and Operations Research, Universitat Politècnica de Catalunya (UPC), based in Barcelona. He holds a degree in Mathematics and a doctorate in Economics. His research focuses on advanced statistical methods, data science, functional data analysis, and machine learning applications. He leads the ADBD research group (Analysis of Complex Data for Business Decisions) and collaborates with the Institut de Matemàtiques de la UPC. His current project 'Advanced Statistics and Data Science 2: New data, new models, new challenges' (PID2023-148158OB-I00) addresses modern data challenges, including Big Data, wearable devices, EEG analysis, graph data, and nonlinear dimensionality reduction. He supervises PhD students and has expertise in predictive modeling, explainable AI, and interdisciplinary applications in health, environmental science, and education. Delicado has published extensively in top journals like Machine Learning, Test, and Environmental and Ecological Statistics. He teaches advanced statistics and data science courses, leveraging virtual platforms. His work bridges statistical theory with practical applications, emphasizing interpretability and real-world impact.
Dr. Andrea Cremaschi is an Assistant Professor at IE University, specializing in Bayesian statistics with applications in biomedical research, public health, and data science. His academic journey includes roles at institutions such as the Singapore Institute for Clinical Sciences (SICS) and the National University of Singapore (NUS), where he contributed to interdisciplinary projects in biostatistics and clinical research. He holds a Ph.D. in Statistics from the University of Kent and degrees in Mathematical Engineering from Politecnico di Milano. His research focuses on developing novel Bayesian statistical methodologies for healthcare challenges, including drug sensitivity analysis in oncology, maternal and child health outcomes, and cost-effectiveness studies. He also explores applications in digital humanities and climate action, aligning with UN Sustainable Development Goals 3 (Good Health), 4 (Quality Education), and 13 (Climate Action). Key contributions include studies on postpartum diabetes screening, pediatric growth modeling, and ex vivo drug response analysis in leukemia. His work bridges computational statistics with real-world health challenges, emphasizing algorithmic innovation and interdisciplinary collaboration. Education: Ph.D. in Statistics (University of Kent), M.Sc./B.Sc. in Mathematical Engineering (Politecnico di Milano) Professional Affiliations: IE University, Singapore Institute for Clinical Sciences (SICS), National University of Singapore
Carlos A. Andujar Gran is a Full Professor at the Department of Computer Science, Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Informatics (FIB). He leads the ViRVIG research group, focusing on visualization, virtual reality, and graphical interaction. His work spans computer graphics, medical visualization, cultural heritage documentation, and human-computer interaction. Andujar holds a PhD in Computer Science from UPC and has been actively involved in over 170 research activities since 1994. Education: PhD in Computer Science (UPC), M.Sc./B.Sc. in related fields. Key Projects: European Cloud for Heritage OpEn Science, VR nursing training systems, motion capture for sports analytics, and medical visualization tools. Research Interests: His research emphasizes real-time rendering, 3D modeling, and applications in healthcare and cultural preservation. He pioneers techniques for sparse motion data reconstruction (e.g., DragPoser) and develops VR systems for training and heritage documentation. Recent work includes studies on avatar animation fidelity and collision feedback in virtual environments. Publications: Over 50 peer-reviewed articles in top journals like ACM Transactions on Graphics, Computer Graphics Forum, and IEEE VR. Key areas include motion reconstruction, VR interaction, and medical visualization. Awards: Multiple recognitions for work on Alice 2.0 VR tools and motion capture systems. Grants & Teams: Principal investigator in EU-funded projects (e.g., HORIZON) and Spanish grants. Collaborates with TecSalut (Health Tech group) and international partners on healthcare VR and cultural heritage initiatives.
