Anna Vilanova is a Full Professor in Visual Analytics at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), and is associated with the Electrical Engineering department's Signal Processing Systems. Previously, she served as Associate Professor at TU Delft (2013-2019) and Assistant Professor at TU/e (2002-2013). Her research focuses on Visual Analytics for high-dimensional data , explainable AI , and biomedical applications including Diffusion Weighted Imaging, 4D Flow, and Pangenomics. Education: Doctorate in Computer Graphics & Visualization (2001) Master in Computer Science (1997), Universitat Politècnica de Catalunya Research Highlights: Vilanova leads work on Visual Analytics systems for biomedical data, with recent publications in Diffusion MRI modeling , Tractography visualization , Explainable AI frameworks , and Pangenomic variant analysis . Her work bridges dimensionality reduction , uncertainty visualization , and medical imaging applications. Scientific Contributions: NWO-Veni grant (2005): "Visualization of global tensor information for diffusion tensor imaging" NWO-Aspasia grant (2013) Best Poster Award EuroVis (2025) Best Demo/Poster Awards (2022) Leadership & Service: Vilanova serves on the IEEE VIS Steering Committee , was EUROGRAPHICS President (2019-2022), and contributes to conferences like IEEE Visualization and EG-EuroVis . She co-founded the EAISI Health research initiative at TU/e.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱-۱۵ از ۳۶ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Boyu Xuمشاهده پروفایل
پژوهشگر
Boyu Xu is a researcher at Utrecht University 's Faculty of Science , affiliated with the Department of Information and Computing Sciences and the Visualization and Graphics group. Her work bridges Information Visualization , Augmented Reality (AR) , and Neuroscience Data Analysis , focusing on tools for exploring scientific literature. She developed the DatAR project, which enables neurologists to analyze connections between brain regions and diseases from over 400,000 PubMed publications. Her research also explores how Generative AI can enhance creative processes in visual art and design. Prior to her PhD, she worked on graphic design , game design , and commercial AR applications , with a portfolio at xuboyumedia.com . Her publications (2024–2025) at conferences like MultiMedia Modeling and CHIIR emphasize AR-based research methodologies , interactive neuroscience tools , and timeline visualization for mapping indirect-to-direct relationships in scientific data. She collaborates with supervisors Prof. Lynda Hardman and Dr. Wolfgang Hürst , but no formal advising roles or scientific awards are listed.
Huub M.M. van de Wetering is an Assistant Professor at the Mathematics and Computer Science school of Eindhoven University of Technology (TU/e) , with affiliations to the Visualization and Visual Analytics departments, and the EAISI Health research institute. His research focuses on Interactive Visualization , Visual Analytics , and Medical Imaging applications, particularly in Dynamic Graphs and Neuroimaging . Recent work includes Pangenomic Variant Analysis and Streamline Transparency Techniques for brain structure visualization. Dr. van de Wetering has received Scientific Awards including: Best Demo Award (2022) Best Poster Award (2022) He teaches courses in Computer Graphics , Visualization Seminars , and Visual Computing Projects .
- Game Technology
- Game Design
- Serious Games
- +۷ مورد دیگر
Professor Remco Veltkamp holds a faculty position at Utrecht University's Faculty of Science with a focus on Game and Media Technology . As Scientific Director of AI Labs and coordinator of the Utrecht Center for Game Research , his work bridges serious games, virtual reality, and human-centered AI applications. He leads the Dynamics of Youth Hub 'Healthy Play, Better Coping' exploring gaming's role in pediatric chronic illness management. Academic leadership in gaming technology Director of Utrecht's AI Labs Founder of Serious Game Society Editor of International Journal of Serious Games Research spans game design, AR/VR interaction, 3D object recognition, and multimedia systems with applications in: Healthcare gamification Energy conservation Bioinformatics Social behavior analysis Computer vision Recent work includes: 2025: Developing fatigue management therapy games 2024: Analyzing protest dynamics through social media 2023: Creating equine pain assessment systems 2022: Gamification in food sustainability As educator, he teaches Game Programming and Small Project Game and Media Technology , while pioneering applications of gaming in healthcare and education sectors.
Mark Bosمشاهده پروفایل
استادیار
Dr. Mark Bos is an Assistant Professor in Science Communication at the Freudenthal Institute, Faculty of Science, Utrecht University. He focuses on public engagement with science, particularly through visual communication in health and climate domains. His research explores how visuals aid or hinder science communication, with applications in science journalism and sustainability initiatives. He leads the NWA project 'Hersenschimmen: Praten over Prikkels' (2024), examining AI's role in patient-scientist communication. Key Research Areas: Science Communication, Climate Communication, Health Communication, Pathways to Sustainability Current Projects: NWA Wetenschapscommunicatie 'Hersenschimmen', Interdisciplinary Education Development Academic Contributions: Bos has published extensively on topics like climate communication strategies, visual health information design, and science journalism integrity, with recent 2024 works in Journalism Studies , Geoscience Communication , and European Journal of Health Communication . His research trends emphasize climate science, health literacy, and media-science dynamics. Professional Activities: He serves as a peer reviewer for the Journal of Science Communication and chairs the Science for Sustainability advisory board (2023-present). His invited talks include workshops on reading strategies in biology education and visual science communication.
Jeroen Fokker is a Lecturer at the Faculty of Science , Utrecht University , affiliated with the Department of Information and Computing Sciences and the Software Technology group. He combines academic work with freelance software development for entomological field data processing using Klasse . His research interests focus on functional programming , compiler design , and game development , particularly in educational contexts. His recent articles (2019) emphasize game programming fundamentals, UI/UX design, and C# applications in game development, reflecting a strong pedagogical approach to teaching programming through games. He occasionally provides educational advice and web design services (2×2 days/year). His publications span functional programming tools, compiler architecture, and theoretical explorations of lambda calculus and Turing's work.
Will Hurstمشاهده پروفایل
دانشیار
Dr. Will Hurst is an Associate Professor in Data Science and Extended Realities at Wageningen University & Research's Information Technology Group. He holds a PhD in Computer Science (focused on Critical Infrastructures) and has over 100 international publications across data science, creative technologies, and critical infrastructure security. His research emphasizes XR applications in education, healthcare, and sustainability, alongside smart meter analytics and cybersecurity. Education: PGCert (Distinction) in Higher Education, MSc Web Computing, BSc Product Design Grants: EPSRC-funded 'Data Analytics for Health-Care Profiling using Smart Meters' and InnovateUK's Productivity Accelerator Research interests include digital twins, immersive learning technologies, and interdisciplinary hackathon methodologies. Recent work explores AR/VR in medical training, NFTs in art, and sustainable consumer behavior. Awards include recognition as an award-winning Reader in Creative Technologies at Liverpool John Moores University (2016-2022). Teaching includes courses on data visualization, digital game development, and advanced multimedia systems. Engages in active aging initiatives through co-design hackathons and community-based projects.
- Serious Games
- Policy Analysis
- Spatial Planning
- +۹ مورد دیگر
Igor Mayer is a Professor of Serious Games, Innovation & Society at Breda University of Applied Sciences (Netherlands) and an endowed 0.2fte Professor of 'Playful Organizations and Learning Systems' at Tilburg University's Faculty of Social and Behavioral Sciences. His research focuses on gaming-simulation, serious games, and digital technologies for policy analysis, organizational learning, and spatial planning. He leads the Academy for AI, Games & Media (AGM) at Breda and has held visiting roles at Beijing Institute of Technology (China) and Delft University of Technology (Netherlands). Key research interests include maritime spatial planning (via the MSP Challenge simulation platform), urban digital twins, and the societal impact of immersive technologies. He has coordinated European projects (e.g., FP7, H2020) and advised organizations like Shell, the Netherlands Police Academy, and the Port of Rotterdam. His work bridges policy analysis, complex systems, and stakeholder engagement in domains such as water management, crisis response, and infrastructure planning. Award-winning projects include the MSP Challenge, a globally applied boundary object for transboundary governance. His 150+ publications span journals like Marine Policy and Simulation & Gaming , with a current H-index of 31. He co-founded networks like SAGANET and GaLA, and serves as associate editor for Simulation & Gaming and Water . Recent activities include leading the EU-funded NO-REGRETS project on North Sea renewable energy and co-developing the VESPER initiative on virtual humans. His future research emphasizes playful organizations, digital innovation districts, and ethical AI applications in public policy.
Saskia Hiltemann is a Researcher at the Department of Pathology at Erasmus University Medical Center. Her work focuses on advancing bioinformatics methodologies and their application in antimicrobial resistance (AMR) research. She actively contributes to the Galaxy platform ecosystem, promoting reproducible and FAIR data analysis practices. Her research interests include microbial genomics, single-cell RNA sequencing workflows, and developing educational resources for bioinformatics training. She has co-created platforms like BenchAMRking and microGalaxy to address challenges in AMR gene prediction and microbial data analysis. Her recent publications emphasize enhancing reproducibility through standardized workflows, integrating sensitive clinical data securely, and improving access to bioinformatics tools for global research communities. Collaborations span institutions worldwide to address pressing issues in pathogenomics and precision medicine. Her datasets, such as the Galaxy Training Network tutorial resources, reflect her commitment to open science and educational accessibility. While no formal awards are listed, her contributions to open-source platforms demonstrate significant impact in computational biology.
John van den Elst is a Lecturer at the Academy for AI, Games & Media within The Hague University of Applied Sciences. His research focuses on cybersecurity, particularly graphical password schemes and dynamic layering techniques, alongside business model analysis in media industries. He collaborates on projects like Picassopass, exploring secure authentication methods through visual interfaces. His work bridges technical and strategic domains, addressing both user authentication challenges and media industry partnerships. Notable outputs include studies on security evaluation of graphical passwords and business model interrelations in media concepts. Despite no listed awards or grants, his contributions reflect interdisciplinary innovation in applied computing and media studies.
Paul M.J. Van den Hof is a Full Professor at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), specializing in data-driven modeling and control of dynamic systems. He leads the Control Systems Group and is affiliated with multiple research centers, including EAISI High Tech Systems, Mobility, and Foundational, as well as the EIRES Research initiative. Research Interests: His work focuses on developing fundamental techniques for dynamic network modeling, closed-loop identification, data analytics, experimental design, and model-based control. Applications span industrial process control, oil reservoir engineering, high-tech mechatronic systems, and cyber-physical systems. Recent projects include SYSDYNET (dynamic network identification), NAPAS (nanometer-accurate actuation), and CADUSY (data-driven modeling using symbolic methods). Scientific Contributions: Van den Hof has authored over 250 research outputs, including foundational work on identifiability in dynamic networks, frequency domain identification, and distributed control algorithms. His 2024-2025 publications address challenges in fault detection, Bayesian network topology identification, and multi-step least squares methods. He emphasizes practical implementation through tools like the SYSDYNET MATLAB toolbox. ERC Advanced Research Grant (2015) Honorary Member, Hungarian Academy of Sciences (2016) IEEE Fellow (2007) and IEEE Life Fellow (2023) IFAC Advisor (2020)
Jack van Wijk is a Full Professor in Visualization at Eindhoven University of Technology (TU/e). He holds a MSc (1982) and PhD (1986) in Computer Science from Delft University of Technology. His research focuses on information visualization, visual analytics, and mathematical visualization, with notable contributions to flow visualization and cartographic projections. He has co-authored over 160 papers and served as program co-chair for multiple IEEE Visualization conferences (2003–2023). Awards include the IEEE Visualization Technical Achievement Award (2007), Eurographics 2013 Outstanding Technical Contributions Award, and the VGTC Lifetime Achievement Award (2021). In 2023, he was honored with the Order of the Netherlands Lion. He co-founded MagnaView BV and SynerScope BV, and served as Scientific Director of the Data Science Center Eindhoven (2018–2021). Notable projects include SequoiaView (disk visualization), myriahedral projections, and IBFV (Image-Based Flow Visualization).
Tilman Dinglerمشاهده پروفایل
دانشیار
Dr. Tilman Dingler is an Associate Professor in the Knowledge and Intelligence Design (KInD) section at the Faculty of Industrial Design Engineering (IDE), Delft University of Technology. He holds a PhD in Computer Science from the University of Stuttgart and has held roles at the University of Melbourne and Osaka Prefecture University. His research focuses on cognition-aware systems, intelligent reading interfaces, and digital health technologies. He is an expert in designing systems that adapt to cognitive states to enhance information processing and mitigate biases. Education: PhD in Computer Science, University of Stuttgart (Germany) Master of Science in Web Science, University of San Francisco (USA) Honours Degree in Technology Management, University of Munich (Germany) Research Interests: Cognition-Aware Systems: Sensing cognitive states like attention and alertness Bias-Aware Systems: Detecting and mitigating cognitive biases in decision-making Digital Health: Proactive monitoring systems for chronic disease management Intelligent Reading Interfaces: Enhancing readability and reading habits Article Trends: Recent work explores interventions to reduce social media addiction, AI-generated content for non-native readers, and tools for analyzing 360° video. His studies often bridge HCI, AI ethics, and health tech. Awards: Wolfgang Heilmann Award (twice) Fulbright Scholar Grants & Collaborations: Secured funding from NHMRC and Japan Science and Technology Agency. Leads projects like ODECO (Open Data Ecosystem) and SmartHeart (home-based heart failure monitoring). Labs & Teams: Active in IDE’s Human-Centred AI and Sustainable Design Engineering groups. Co-founded the SIGCHI Melbourne Local Chapter.
Paul Van den Hof is a Full Professor (Part-time) in the Control Systems Group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He has been affiliated with TU/e since 2011, following a distinguished career that began at Delft University of Technology in 1986. His academic journey includes founding co-directorship of the Delft Center for Systems and Control and serving as Scientific Director of the Dutch Institute of Systems and Control (DISC) from 2005-2015. Van den Hof's research focuses on data-driven modeling, control and optimization of dynamic systems across multiple technological domains. His work spans industrial process control, oil reservoir engineering, and high-tech mechatronic and cyber-physical systems. His methodological contributions include data-driven modeling techniques, closed-loop and control-oriented identification, data analytics, experimental design, performance monitoring, and model-based control systems. His recent publications demonstrate a strong focus on dynamic network identification, with significant contributions to identifiability analysis in acyclic networks, frequency domain identification methods, fault detection frameworks, and the development of the SYSDYNET toolbox. These works reveal his evolving research trajectory toward increasingly complex interconnected systems while maintaining a strong theoretical foundation in control systems engineering. Fellow of IFAC Fellow of IEEE Honorary Member of the Hungarian Academy of Sciences ERC Advanced Research Grant on Dynamic Network Identification (SYSDYNET) Throughout his career, Van den Hof has maintained strong international collaborations with both academic and industrial partners. His leadership extends to professional service as General Chair of the 13th IFAC Symposium on System Identification (2003), member of the IFAC Council (1999-2005, 2017-2020), Associate Editor and Editor of Automatica (1992-2005), and Vice-President of IFAC (2017-2020). His research activities are centered around the Control Systems Group and the Dynamic Networks: Data-Driven Modeling and Control research line at TU/e, with affiliations to EAISI High Tech Systems, EAISI Mobility, EAISI Foundational, and EIRES Research centers.
Tobias Isenberg is a Senior Research Scientist (Directeur de recherche) at Inria's AVIZ project group in Saclay, Université Paris-Saclay. He is affiliated with the Johann Bernoulli Institute for Mathematics and Computer Science at the University of Groningen, Netherlands. His research focuses on interactive scientific visualization, illustrative rendering techniques, and human-computer interaction in non-traditional environments like AR/VR. He has pioneered methods for blending dynamic data physicalizations with virtual content and enhancing collaborative AR learning. Key contributions include machine learning-driven visualization tools for cell lineage analysis and perceptually grounded evaluation frameworks for visualizations. His work spans medical visualization, educational AR systems, and reproducibility in visualization research. He has collaborated with institutions such as the Interactive Media Lab Dresden and led projects like Naviscope (Inria) and tVISt (ANR/DFG). Recent awards include the 2024 SciVis Test-of-Time Award for his 2012 selection techniques paper and a Best Paper Award at CHI 2025 for AR transition techniques. He currently seeks a PhD student to advance interactive 3D dataset exploration methods. Notable grants include the tVISt collaboration grant (2024) and institutional funding from Inria. His lab, AVIZ, develops open-source tools like LineageD+ for biological data analysis and interactive physicalization systems. Recent publications emphasize cross-reality visualization, human-AI collaboration, and reproducibility in visualization research.