Find Academic Supervisors

• Multimedia Modeling
• Machine Learning
• Computer Vision
• +7 more

Dr. Stevan Rudinac is a Researcher at the University of Amsterdam's Faculty of Economics and Business , Section Business Analytics . His work focuses on interactive learning systems and multimodal data analysis, particularly in urban contexts and multimedia modeling. Education: PhD in Multimedia and Information Retrieval from Delft University of Technology (2013). Research Interests: Stevan specializes in multimedia modeling , hypergraph learning , and interactive video search . He develops frameworks for scalable analysis of social networks, urban imagery, and large multimodal datasets, bridging machine learning with practical applications in city planning and financial social media. Recent Trends: His 2024-2025 publications highlight large language model optimization , diffusion model evaluation , and dynamic graph embedding for meme stocks. Collaborative projects include the CASTLE 2024 dataset and Exquisitor , a system for 100 million image exploration. Labs & Teams: He contributes to the Business Analytics group at UvA, collaborating with Prof. Marcel Worring and Dr. Björn Þór Jónsson. He co-organized the UrbanMM'21 workshop and participates in ACM Multimedia and MMM conferences.

• Sports Biomechanics
• Exercise Physiology
• Rowing Performance
• +4 more

Dr. Mathijs Hofmijster is an Assistant Professor affiliated with the Faculty of Behavioural and Movement Sciences, Physiology Department at Vrije Universiteit Amsterdam, as well as the Amsterdam Movement Sciences (AMS) and the Institute for Brain and Behavior Amsterdam (IBBA). His research focuses on biomechanics and physiology in sports performance, particularly in rowing and cycling. Key areas include power output measurement, neuromuscular adaptations, and training optimization. He teaches courses such as 'Moving Matters in Health' and supervises graduate research in elite athlete performance. Research Interests: Rowing biomechanics and power output analysis Neuromuscular fatigue and training adaptations Para-cycling performance and adapted physical activity Instrumentation for sports performance monitoring Recent work highlights include a 2024 scoping review on elite para-cycling performance and advancements in blade force measurement techniques (2019). His articles explore topics ranging from muscle morphology in Olympic rowers (2018) to real-time feedback systems improving training compliance (2017). He has supervised one PhD thesis and maintains active collaborations in sports science, contributing to UN Sustainable Development Goals related to health and well-being.

Peter DesainView profile

Professor

• Brain-Computer Interfaces
• Neuroscience
• Electrophysiology
• +3 more

Peter Desain is a Professor and Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour, Radboud University. His work focuses on developing advanced brain-computer interfaces (BCI) leveraging evoked potentials, particularly through code-modulated visual and auditory stimuli. He pioneers methods like noise-tagging and Bayesian dynamic stopping to enhance BCI efficiency and accessibility. His research spans neurotechnology, electrophysiological modeling, and clinical applications such as objective EEG audiometry and ALS communication aids. Recent studies emphasize gaze-independent systems, semantic decoding, and minimizing BCI calibration requirements. Key contributions include optimizing c-VEP code-books, real-time fMRI neurofeedback for memory contexts, and literature reviews on BCI design trends. Experimental pilot studies explore auditory attention and high-frequency SSVEP dynamics. No scientific awards are explicitly mentioned. His work integrates multidisciplinary approaches, bridging neuroscience, machine learning, and engineering to advance human-computer interaction and clinical tools.

Marieke H. MartensView profile

Professor

• Automated Driving
• Human Factors
• Traffic Safety
• +3 more

Marieke H. Martens is a Full Professor of Automated Driving & Human Interaction at Eindhoven University of Technology (TU/e) and Director of Science at TNO’s Traffic & Transport unit. Her work focuses on human behavior in automated driving systems, addressing challenges like trust, control transitions, and societal acceptance. She holds a PhD in Experimental Psychology from Vrije Universiteit Amsterdam and previously served as a professor at the University of Twente. Education: PhD in Experimental Psychology, Vrije Universiteit Amsterdam (2007) Master’s in Experimental and Cognitive Psychology, Vrije Universiteit Amsterdam Research Interests: Human factors in automated vehicles, human-machine interaction design, road user safety, and the societal implications of smart mobility. Her work bridges psychology, engineering, and design to ensure systems are user-centered and safe. Awards: CHI '20 Best Paper Award (2020) AutomotiveUI '20 Honorable Mention Award (2020) Advising & Grants: Supervises over 10 students, focusing on automated driving’s human aspects. Active in projects like ISA-FIT (Intelligent Speed Assistance) and dynamiC spEed Limits. Collaborates globally with institutions and automotive industries. Labs & Networks: Leads TU/e’s Designing With Intelligence initiative and participates in EU ethics committees for automated mobility. Maintains a global network in academia and industry, fostering interdisciplinary research.

Elisabeth Huis in 't VeldView profile

Assistant Professor

• Cognitive Neuroscience
• Artificial Intelligence
• Medical Psychology
• +4 more

Elisabeth Huis in 't Veld is an Assistant Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence, part of the Tilburg School of Humanities and Digital Sciences. She also serves as Group Leader for Donor Cognition at Sanquin in Amsterdam and co-founded AINAR B.V., a company focused on AI applications in healthcare (https://www.ainar.io). Her research spans cognitive neuroscience, medical psychology, and AI-driven solutions for health challenges. Key interests include vasovagal reactions during needle procedures, serious games for decision-making studies, and blood donor behavior analysis. Recent projects include developing predictive models for vasovagal responses using facial analysis and creating the 'Sustainable Port' serious game to study expert decision-making in port management scenarios. Publications highlight interdisciplinary work, blending AI techniques (e.g., CNNs, time-series classification) with clinical and behavioral insights. Her work addresses real-world challenges in healthcare, donor recruitment, and game-based training systems. Professional affiliations include leadership roles in academic and industry collaborations, emphasizing translational research between cognitive science and practical health applications.

Gijs HuismanView profile

Researcher

• Human-Centered Design
• Haptics Technology
• Affective Computing
• +3 more

Dr. Gijs Huisman is a researcher at the Delft University of Technology's Industrial Design Engineering faculty, specializing in Human-Centered Design and Perceptual Intelligence. His work focuses on haptics technology, mediated social touch, and multisensory interaction design. He leads projects like Dark Haptics and ShareYourReality , exploring haptic feedback in mobile interfaces and virtual avatar co-embodiment. His research bridges disciplines such as material science, cognitive science, and ethics to design inclusive technologies. Key Areas : Haptic wearables, affective computing, food interaction, and ethical AI. Recent Work : Investigating shape-memory alloys for assistive devices and developing tools for studying digital social touch ethics. Collaborations : Active in transdisciplinary teams addressing DEI in robotics and universal design. His research emphasizes practical applications in healthcare (e.g., fidget devices for stress reduction) and consumer products (e.g., aesthetically pleasing headphones). He teaches the Dare to Design Studio course, fostering innovative design thinking. Though no formal awards are listed, his prolific publication record (over 80 articles) demonstrates sustained impact in haptics and HCI fields. He actively engages with industry collaborations through TU Delft's research labs and graduate programs.

Huib de RidderView profile

Professor

• Human Information Processing
• Perceptual Intelligence
• Human-Machine Interaction
• +3 more

Prof. Huib de Ridder is a Full Professor of Information Ergonomics at TU Delft's Faculty of Industrial Design Engineering. He leads research in human perception and information processing, with a focus on perceptual intelligence applications in healthcare and mobility. Co-founder of the Delft Perceptual Intelligence Lab (π-Lab), he has held leadership roles including Head of the Human Information Communication Design section (1998–2015) and Department Head (2002–2006). Educated at Eindhoven University of Technology (PhD 1987) and University of Amsterdam (MSc 1980), his work bridges experimental psychology with engineering design. Notable contributions include KNAW-supported research on image quality metrics and pioneering studies on persuasive experiences in healthcare systems. Current research explores future interaction design through multi-sensory fluency principles. His projects include the 3D Handscanner initiative and collaborations in healthcare innovation. Awards include a prestigious KNAW fellowship. He advises PhD students and supervises graduation projects at TU Delft.

Raoul BongersView profile

Assistant Professor

• Motor Control
• Motor Learning
• Prosthetics
• +6 more

Dr. Raoul Bongers is an Assistant Professor at the Faculty of Medical Sciences, University of Groningen, affiliated with the SMART Movements research group. His expertise focuses on action-perception learning, motor control, and rehabilitation technologies, particularly in upper limb prosthetics and serious game applications for prosthesis training. He investigates motor variability and coordination dynamics using advanced methodologies like Uncontrolled Manifold analysis and multifractal analyses. His research emphasizes the development of clinical tools such as IMU-based calibration algorithms and virtual reality environments to improve prosthetic control and rehabilitation outcomes. Collaborations span biomechanics, neuroscience, and medical engineering, addressing challenges in prosthetic design, user adaptation, and clinical assessment. Bongers has contributed to over 139 publications, with recent work exploring task-specific serious game training, IMU sensor calibration reliability, and motor learning dynamics in novel control tasks. His work aligns with UN Sustainable Development Goals related to health and innovation. Professional activities include keynote lectures on motor control and participation in interdisciplinary research networks. Laboratory affiliations include SMART Movements, where research integrates ecological psychology and dynamical systems theory to advance rehabilitation technologies and motor learning understanding.

Bruna Goveia da RochaView profile

Assistant Professor

• Textile Innovation
• Digital Craftsmanship
• Research-Through-Making
• +3 more

Bruna Goveia da Rocha is an Assistant Professor at the Department of Industrial Design, Eindhoven University of Technology. Her research focuses on advancing research-through-making practices, particularly through textile innovation and material experimentation from a more-than-human perspective. She explores how samples and sample-making can drive creative and technological breakthroughs in digital craftsmanship. Education: PhD in Industrial Design, TU/e (2023), thesis: 'Becoming Travelers: Reflecting on the Emerging Practices of Sample Making in Digital Craftsmanship' MSc in Industrial Design, TU/e (2015), thesis: 'Flow: In the path towards embodied guidance' BSc in Product Design, Universidade Positivo (2012) Research interests include: Material agency and serendipity in design Documentation strategies for digital craftsmanship Embodied interaction through textiles and smart materials Sample archives as dynamic knowledge repositories Her recent work investigates how 'diffractive re-interpretations' of material samples can uncover hidden potentials, as seen in projects like 'Making in the Dark' (2024). She also explores negotiations between designers and fabrication machines, such as in 'Entering the 3D printer' (2024). Lab affiliations include the 'Making With…' group at TU/e, focused on collaborative material exploration. Her work bridges traditional craftsmanship with digital fabrication techniques, emphasizing iterative and embodied design processes.

• Game Technology
• Game Design
• Serious Games
• +7 more

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.

• Cybersecurity
• Computer Science
• Social Media Analysis
• +5 more

Dr. S. Zannettou is a Researcher specializing in Technology, Policy and Management with a focus on Organisation & Governance. He is an active contributor to the Cybersecurity (TPM) research project, investigating internet security, data governance, and information policy within socio-technical systems. His research spans interdisciplinary domains including: Cybersecurity infrastructure and threat analysis Social media algorithm behavior and user engagement Data donation methodologies for platform studies Toxicity dynamics in online communities Personalization systems in content recommendation Information dissemination patterns Recent publications analyze social media ecosystems through empirical data, examining TikTok's recommendation mechanics, news consumption patterns, and personalization tradeoffs. His work consistently employs computational methods to study platform governance, algorithmic bias, and user behavior across digital environments. He collaborates with international researchers on the Cybersecurity (TPM) project, which investigates: Cyber threat intelligence frameworks Internet infrastructure vulnerabilities Business risk modeling Information control mechanisms

• Crowd Simulation
• Path Planning
• Real-time Simulation Software
• +3 more

Wouter van Toll is a Lecturer at the Academy for AI, Games & Media, specializing in crowd simulation and real-time systems. His research focuses on path planning, crowd behavior modeling, and fluid dynamics in agent-based simulations. He has contributed to advancing algorithms for microscopic crowd simulation and integrating techniques like Smoothed Particle Hydrodynamics (SPH) to handle extreme crowd densities. Key research interests include sketch-based interaction design for steering behaviors, navigation mesh optimization, and topological strategies for agent coordination. His work bridges computational methods with creative applications in game development and artificial intelligence. Received Best Paper Award Honorable Mention (2022) for his work on sketch-based steering behaviors in crowd simulation. Active collaborations in Europe and North America, particularly in crowd simulation software development. Publications span algorithmic advancements in crowd simulation, navigation systems, and interdisciplinary applications combining physics-based methods with agent-based models. Current research emphasizes real-time simulation efficiency and human-centered design tools for behavior specification.

• Human-Computer Interaction
• Collaborative and Social Computing
• Computer Supported Cooperative Work
• +7 more

Dr. Ioanna Lykourentzou is an Associate Professor in the Software Technology for Learning and Teaching department at Utrecht University's Faculty of Science. She leads the Collaborative Technologies Lab and coordinates the Computing Science Master's and Information Sciences Honors Bachelor's programs. Additionally, she serves as a Fair Data and Software fellow within the Open Science Team of the Faculty of Science and as a member of the Ethics Review Board for the Faculties of Science and Geosciences. Her research focuses on collaborative and crowd systems, developing methods that help people work together, coordinate efforts, and innovate at scale, both online and in physical spaces. Her interdisciplinary approach combines computational science (machine learning, agent-based modeling, mathematical optimization) with social sciences (personality testing, team building). Her expertise spans Human-Computer Interaction, Algorithms, Agent-Based Modelling, Telecollaboration, Creativity, and Innovation. Her recent publications (2021-2025) demonstrate a strong focus on human-AI interaction, generative models, and applications in cultural heritage and education. She examines how technology can facilitate collaboration, with particular attention to team formation, personality factors, and digital nudging techniques. Her work bridges theoretical research with practical applications in digital humanities, cultural heritage, and computing education. Dr. Lykourentzou has received significant recognition for her research, with multiple publications garnering substantial citations and reader attention across platforms like Mendeley and social media. Her work on personality-based team formation (2016) has been particularly influential with over 90 citations. Prior to joining Utrecht University, she worked as a Senior Researcher at the Luxembourg Institute of Science and Technology (LIST), where she coordinated the European H2020 project CROSSCULT. She has also collaborated with the Human-Computer Interaction Institute of Carnegie Mellon University as a visiting researcher and with INRIA Nancy-Grand Est and the Public Research Center Henri Tudor as a postdoctoral fellow.

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +3 more

Mariet Theune serves as an Assistant Professor at the University of Twente's Digital Society Institute within the Human Media Interaction department. She specializes in artificial intelligence and human-computer interaction research, with particular expertise in natural language processing and conversational agent development. Her academic work has been recognized with multiple awards including the Best Student Paper Prize (2018) and Hypertext Douglas Engelbart Best Paper Award (2021). Active in her field, Theune contributes to academic publishing as an editor for journals like Personal and Ubiquitous Computing (2024) and Humanities (Switzerland) (2022). She also participates in conference organization (e.g., Shaping the Future of AI symposium 2024) and examination activities (e.g., PhD examinations 2024). Her research output consistently focuses on conversational systems, dialogue management, and text classification technologies. Theune's recent publications examine lexical alignment mechanisms in human-agent interactions, including systematic reviews (2025), GPT model comparisons (2024), price bargaining chatbot implementations (2024), and text classification approaches using annotator disagreement (2024). These works span computer science, AI, and human-computer interaction domains. Her research methodology emphasizes both technical implementation and user experience analysis. Scientific Awards: Best Student Paper Prize (2018) Hypertext Douglas Engelbart Best Paper Award (2021)

Albert GattView profile

Professor

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +5 more

Albert Gatt is a Professor of Natural Language Processing at Utrecht University's Department of Information and Computing Sciences, where he also serves as Programme Director for AI & Data Science. He holds an Associate Professor position (on leave) at the University of Malta's Institute of Linguistics and Language Technology. His research focuses on Natural Language Generation (NLG), multimodal models, and under-resourced language support, particularly for Maltese. He leads projects like NL4XAI and MASRI, addressing challenges in explainable AI and speech recognition. Education: Advanced degrees in computational linguistics and AI (not explicitly detailed in text). Key Projects: Multilingual NLG, Vision-Language benchmarks, Maltese ASR, and NLP evaluation methodologies. Research interests span data-to-text generation, vision-language interfaces, and evaluation practices. His work bridges computational linguistics with cognitive science, emphasizing human-AI collaboration. Notable contributions include the TUNA corpus, SimpleNLG toolkit, and foundational studies on referring expression generation. Publications (2025-2024) explore robust fine-tuning, LLM evaluation, and visual-linguistic grounding. Collaborations span academia and industry, addressing ethical AI and language equity. Supervises a global team of researchers and PhD students across multiple institutions, fostering innovation in NLG, multimodal AI, and Maltese language tech.