Find Academic Supervisors

• Antiferromagnetic Materials
• Spin Hall Magnetoresistance
• Thin Film Magnetic Properties
• +3 more

Silvia Damerio is a researcher at the Zernike Institute for Advanced Materials , part of the University of Groningen , Netherlands. Her work focuses on magnetic properties of antiferromagnetic thin films, particularly CaFe 2 O 4 , using spin Hall magnetoresistance (SMR) measurements to investigate coexisting magnetic orderings and uncoupled spins at domain boundaries. Research Interests: Antiferromagnetic materials, spintronic device physics, magnetic thin film characterization, and computational modeling of spin configurations. Key Contributions: Demonstrated field-induced magnetization mechanisms in CaFe2O4 thin films through multi-domain electrical measurements, revealing antiphase boundary effects and postulating their role in net magnetization. Labs/Teams: Collaborates with the Groningen Cognitive Systems and Materials Center (CogniGron) , utilizing advanced facilities for pulsed laser deposition and electron backscatter diffraction (EBSD). Publications: Recent work explores SMR response anomalies in antiferromagnets, published in Advanced Electronic Materials (2021).

Mariëlle AartsView profile

Assistant Professor

• Human-Centered Lighting
• Daylight Studies
• Light and Health
• +4 more

Mariëlle Aarts serves as an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), specializing in human-centered lighting research. Her work spans multiple research groups including Building Lighting and the Intelligent Lighting Institute, with office location at Vertigo 6.11. She also chairs the Board at the Light and Health Research Foundation SOLG at TU/e, where she promotes awareness of light's impact on human health and connects researchers in this field. Her research focuses on the intersection of lighting with human wellbeing, particularly examining daylight, electrical lighting, comfort, and energy considerations within the built environment. Aarts maintains special expertise in lighting applications for working environments and elderly populations, recognizing the distinct requirements for these groups compared to general populations. Her work extends to therapeutic applications of light for affective disorders and lighting conditions in medical facilities. Analysis of her recent publications reveals a strong emphasis on translational lighting research connecting engineering principles with health outcomes. Her work spans building science, environmental psychology, and public health domains, with particular attention to methodological improvements in light measurement, the impact of light on vision development, and the psychological effects of natural versus artificial lighting patterns. Aarts demonstrates consistent collaboration across international research teams, particularly with colleagues at TNO and other European institutions. Chairman of the Board, Light and Health Research Foundation SOLG at TU/e Former researcher at TNO (2001) Member of the Daylight Committee of the Dutch Lighting Foundation Aarts teaches multiple courses including 'Advancing light for human functioning', 'Physics of light and lighting design', and 'Healthy & sustainable living environments'. Her educational activities emphasize the practical application of lighting principles for human benefit, connecting theoretical knowledge with real-world implementation. Her research laboratory environment includes the Intelligent Lighting Institute where she collaborates on projects examining lighting's physiological and psychological impacts.

• 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.

Heinrich WörtcheView profile

Professor

• Sensor Technology
• Biomechanics
• Nuclear Physics
• +3 more

Heinrich Wörtche is a Professor at the Faculty of Medical Sciences/UMCG (University of Groningen) and holds professorships at Hanze University of Applied Sciences (Sensors and Smart Systems, since 2018) and Eindhoven University of Technology (Miniature Wireless Explorative Sensor Systems, since 2015). His work spans interdisciplinary domains including sensor technology, nuclear physics, and biomechanics. Professor, Sensors and Smart Systems, Hanze University of Applied Sciences (2018–present) Professor, Miniature Wireless Explorative Sensor Systems, Eindhoven University of Technology (2015–present) His research focuses on sensor systems for health monitoring, nuclear structure analysis (e.g., neutron-skin modes, isospin properties), and biomechanics. Key applications include dementia care, exergaming, and postural control assessment. Recent publications highlight his work on wireless sensor systems for dementia behaviors (2024), nuclear resonance studies (2016), and biomechanical movement analysis using machine learning (2015). Keywords span Gerontechnology , Nuclear Physics , Biomechanics , and Data Analytics . Collaborations include institutions like Hanze University of Applied Sciences, Eindhoven University of Technology, and the University of Groningen. Research outputs total 96, with 2014–2024 active contributions in physics, sensor technology, and health informatics.

• Mathematical Biology
• Dynamical Systems
• Computational Biology
• +3 more

Martijn de Jong is a Researcher at Leiden University , affiliated with the Faculty of Science 's Mathematical Institute . His research bridges mathematical modeling and developmental biology. Research Interests : Mathematical Biology Dynamical Systems Computational Modeling of Biological Processes Non-linear Analysis Recent Work : 2024 study on gastruloid morphology, integrating active cell dynamics and adhesion mechanisms into computational frameworks. Contact : Email: m.a.de.jong@math.leidenuniv.nl

• Ethics
• Artificial Intelligence
• Robotics
• +3 more

Michael H. Nagenborg is an Associate Professor in Philosophy specializing in the ethical dimensions of emerging technologies. His research bridges philosophy with practical applications in artificial intelligence, robotics, and geo-intelligence systems. His primary research interests include: Ethical frameworks for AI and robotics Philosophy of technology and empirical philosophy Geo-intelligence ethics and algorithmic fairness Drone data ethics and harm prevention Urban technology ethics and smart city applications Analysis of his recent publications reveals a growing focus on bridging empirical philosophy with design practices, particularly in geo-intelligence and AI ethics. His work increasingly addresses accountability, fairness, and harm prevention in technological applications, with notable contributions to algorithmic fairness through causality and drone data ethics. Dr. Nagenborg has an active research profile with 69 publications since 2004, showing increased productivity in recent years. His work demonstrates strong interdisciplinary connections between philosophy, computer science, and urban studies.

Giovanni SilenoView profile

Lecturer

• Artificial Intelligence
• Logic Programming
• Knowledge Representation
• +5 more

Giovanni Sileno is an academic specializing in Artificial Intelligence, Logic Programming, and Knowledge Representation, with teaching appointments at the University of Amsterdam, EPITA Paris, and Université Pierre et Marie Curie. His primary affiliation is with the Informatics Institute at the University of Amsterdam where he serves as a Lecturer. His research interests span multiple domains within computer science, focusing particularly on formal methods for normative systems, agent-based programming, and logic-based knowledge representation. His work bridges theoretical computer science with practical applications in policy modeling, forensic science, and business information systems. Dr. Sileno has developed several notable software projects including AgentScriptCC for single-threaded intentional agents, DCPLschema for normative policy specifications, and libraries for normative primitives in Answer Set Programming. His GitHub activity shows consistent contributions from 2012 through 2025, indicating active engagement in both research and development. His publications reflect a strong focus on formal methods applied to practical problems, with particular emphasis on normative systems, agent architectures, and logic programming applications. The research trajectory shows evolution from foundational topics in logic and numeral systems toward increasingly sophisticated applications in policy modeling and agent-based systems. As an educator, he has taught across multiple institutions and disciplines, covering topics from basic programming paradigms to advanced knowledge representation and formal modeling techniques. His teaching spans undergraduate to master's level courses in information studies, cognitive science, data science, and forensic science.

• Operations Research
• Optimization
• Spatial Data Analytics
• +3 more

Derya Demirtas serves as Associate Professor at the University of Twente within the Center for Healthcare Operations Improvement & Research (CHOIR), Digital Society Institute, and TechMed Centre. Her academic home resides in the Department of Industrial Engineering and Business Information Systems under the Faculty of Engineering Technology. Education: BSc in Industrial Engineering & Computer Engineering, Middle East Technical University (2008) MMath in Combinatorics & Optimization, University of Waterloo (2010) PhD in Industrial Engineering, University of Toronto (2016) Dr. Demirtas specializes in applying operations research and optimization techniques to healthcare and humanitarian challenges. Her work integrates spatial data analytics with facility location theory to solve critical problems including emergency response systems, radiotherapy optimization, and disaster recovery logistics. Current research focuses on data-driven decision frameworks that address uncertainty in both demand patterns and resource availability. Her publication portfolio reveals strong emphasis on healthcare operations, with recent work exploring wearable technology for cardiac arrest detection, machine learning applications for nursing burnout prediction, and optimization models for emergency medical services. These contributions demonstrate consistent focus on translating theoretical operations research into life-saving practical implementations. Scientific Recognition: NWO Veni Talent Grant (2019) American Heart Association Young Investigator Award (2015) INFORMS Public Sector OR Best Paper Competition (2nd place, 2012) Best Poster Award, National Association of EMS Physicians (2016) Dr. Demirtas actively shapes academic discourse through editorial roles including Associate Editor for Health Care Management Science and Area Editor for Health Systems. Her supervision portfolio includes four PhD candidates working on defibrillator placement, South African hospital processes, clinical chemistry optimization, and radiotherapy logistics. Current research projects involve collaborations with UMC Amsterdam, HartslagNu, Dutch Heart Foundation, and Georgia Tech, focusing on improving cardiac arrest response systems and healthcare operations across multiple continents. Her laboratory work centers around the CHOIR research group which develops optimization frameworks for healthcare operations, with particular emphasis on emergency response systems and resource allocation under uncertainty. The TechMed Centre affiliation enables cross-disciplinary collaboration between engineering, medical, and data science experts to translate research into clinical practice.

• Immersive Virtual Reality
• Alcohol Use Disorder
• Addictive Disorders
• +3 more

Simon Langener is a Researcher in the Human Media Interaction department at the University of Twente , specializing in the application of Immersive Virtual Reality (IVR) for treating Addictive Disorders in patients with Mild to Borderline Intellectual Disability (MBID). His work bridges computer science, medicine, and psychology. Research Interests: Langener focuses on developing IVR-based interventions for addiction treatment, particularly targeting Alcohol Use Disorder through alcohol refusal training and peer pressure simulations . His research integrates Cognitive Behavioral Therapy principles with IVR environments to enhance therapeutic outcomes for vulnerable populations. Immersive Virtual Reality Applications Addiction Treatment Protocols Cognitive Behavioral Therapy Adaptations Peer Pressure Simulation Design Cue Reactivity Training Expert Co-Creation in Therapy Development Collaborations & Activities: He collaborates with experts in addiction care, including co-authoring studies with researchers like J. E. L. Van Der Nagel and D. Heylen . His recent activities include oral presentations at conferences on IVR's role in addiction treatment and designing persuasive virtual agents for behavioral training.

• Artificial Intelligence
• Autonomous Agent Systems
• Natural Language Processing
• +6 more

Dirk K.J. Heylen serves as Full Professor at the Digital Society Institute within the University of Twente, holding a dual appointment in the Human Media Interaction department. His academic profile demonstrates extensive engagement in artificial intelligence research with particular focus on human-centered applications. Research interests span Artificial Intelligence, Autonomous Agent Systems, Natural Language Processing , and Knowledge Representation , with significant applications in healthcare, well-being, and social robotics. His work bridges technical AI development with societal context considerations, particularly examining human-AI interaction patterns in daily life scenarios. Recent publications reveal strong emphasis on conversational agents, virtual human interaction, and predictive health technologies. Notable scientific recognition includes the Best Student Paper award at the 22nd ACM International Conference on Multimodal Interaction (2018). His research activities demonstrate consistent output across conferences, journals, and datasets, with particular growth in healthcare applications since 2020. Professional activities include editorial work for major conferences (ICMI 2020), organization of specialized events (Narrative Matters 2018), and hosting academic visitors. His supervised work encompasses 22 research projects and multiple datasets supporting human-AI interaction studies.

• Scientific Visualization
• Computer Graphics
• Flow Estimation and Interpolation
• +7 more

Dr. Steffen Frey is an Assistant Professor in the Scientific Visualization and Computer Graphics group within the Bernoulli Institute at the University of Groningen's Faculty of Science and Engineering. He also maintains an affiliation with the Faculty of Medical Sciences/UMCG in the Robotics and image-guided minimally-invasive surgery (ROBOTICS) research group. His work bridges computer science with practical applications in medical and geoscientific domains. His research interests focus on scientific visualization, computer graphics, and interactive visualization techniques. Dr. Frey specializes in developing novel methods for flow estimation, temporal interpolation, parameter sensitivity analysis, and visualization of complex scientific data, particularly in porous media and fluid dynamics. His work often involves creating scalable solutions for big data visualization problems and applying visualization techniques to medical applications such as bone cement simulation. Analysis of his recent publications reveals a strong focus on machine learning approaches to scientific visualization, particularly in temporal interpolation and ensemble data analysis. His work combines traditional computer graphics techniques with modern deep learning methods to solve challenging visualization problems in scientific domains. The research demonstrates increasing sophistication in handling complex multi-dimensional datasets while maintaining interactive performance. 2019 IEEE Scientific Visualization Contest Winner Dr. Frey actively collaborates with researchers internationally, as evidenced by his co-authorship with scientists from various institutions worldwide. His work contributes to multiple Sustainable Development Goals, particularly those related to clean water and sanitation through his porous media flow research. He has supervised multiple students through research projects and thesis work, though specific names are not listed in the provided materials.

Anna-Sophie Ulfert-BlankView profile

Assistant Professor

• Artificial Intelligence
• Organizational Psychology
• Human-Robot Interaction
• +2 more

Dr. Anna-Sophie Ulfert-Blank is an Assistant Professor in Human Performance Management at Eindhoven University of Technology's School of Industrial Engineering and Innovation Sciences. Her research examines human-AI collaboration, organizational psychology, and workplace adaptation to emerging technologies. Research focuses on: Artificial Intelligence team integration Organizational behavior in tech environments Trust dynamics in human-robot teams Workplace adaptation strategies Publications explore AI's impact on team cognition, digital transformation of workplaces, and trust development in hybrid teams. Research shows consistent focus on practical applications of AI in organizational settings. Awards include: Eurotech Visiting Scholar (2022) SIOP Visionary Grant (2022) Leads projects: 'Human-AI team collaboration under disrupted conditions' 'Fluently: The essence of human-robot interaction'

Alberto RavagnaniView profile

Associate Professor

• Coding Theory
• Network Communication
• Combinatorics
• +4 more

Alberto Ravagnani is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), the Netherlands. He specializes in the mathematical foundations of communication theory, with a focus on coding theory, network communication, and combinatorics. His research addresses challenges in error-correcting codes, network coding, quantum error correction, and applications in data storage and cryptography. He holds a PhD from the University of Neuchâtel, Switzerland, and has held academic positions at institutions including University College Dublin, Ireland, and the University of Zurich. His work has been recognized with awards such as the KNAW Early Career Award (2021), Ambizione Research Grant (2019), and the Nexans Prize (2017). Ravagnani’s research spans theoretical and applied domains, including rank-metric codes, network decoding, and combinatorial structures. His recent publications explore eigenvalue bounds for codes, densities in metric spaces, and evasive subspaces. He is actively involved in editorial roles for journals like IEEE Transactions on Information Theory and Designs, Codes and Cryptography. His teaching includes courses on coding theory and combinatorics, and he has mentored multiple PhD students in areas such as DNA storage and quantum error correction. Key grants include a NWO Gravitation Grant (EUR 10M) and an EuroTech PhD Program Grant (EUR 235K).

Linghan ZhangView profile

Assistant Professor

• Mobile/Wearable Sensing
• Affective Computing
• Assistive Technology
• +3 more

Linghan Zhang is an Assistant Professor in Human Technology Interaction (HTI) at Eindhoven University of Technology (TU/e). Her research focuses on leveraging wearable/mobile sensors, AI, and data fusion to enable personalized human-computer interactions. Key interests include mobile/wearable sensing, affective computing, and assistive technologies. She holds a PhD in Computer Science from TU/e, specializing in voice authentication via mobile sensing. Education: Doctorate in Computer Science (TU/e), with thesis titled Enhanced Voice Authentication via Mobile Sensing . Courses taught include Programming for Psychology and Technology , Recognizing & Implementing Social Cues for HRI , and The Quantified Self in Health . Research explores stress detection in ICU environments, dementia care technologies, and biometric authentication systems. Recent work includes developing the Mindful Waters digital aquarium for dementia patients and analyzing heart rate-perceived stress correlations using Fitbit data. Active in interdisciplinary projects addressing healthcare, cybersecurity, and aging care. Publications span healthcare ergonomics, gaze tracking evaluation, and wearable-based authentication. No awards explicitly listed, but frequently collaborates on multidisciplinary projects. Supervises 7 academic works, though student names are not disclosed. Engages in lab activities within HTI's interdisciplinary environment.

• Data Science
• Statistics
• Legal Aspects of Data Science

Marieke Bosscher is a University Lecturer in the Department of Mathematics and Computer Science at Eindhoven University of Technology. She teaches courses related to data science, including Data Statistics and Law and Data Science , both active since September 2021. Her work focuses on integrating statistical methodologies with legal frameworks in data-driven contexts. Contact: m.bosscher@tue.nl