Wouter Kouw is an Assistant Professor at the Electrical Engineering department of Eindhoven University of Technology (TU/e) , leading the Bayesian Intelligent Autonomous Systems lab. With a dual PhD in Computer Science (2018, TU Delft) and MSc in Neuroscience (2013, Maastricht University) , he bridges neurobiology and artificial intelligence through variational Bayesian inference and active inference frameworks. Research Focus : Probabilistic machine learning systems using message passing algorithms on factor graphs , applied to mobile robotics and adaptive control Key Projects : CONTACT-AI (contact-rich robot navigation), FEP-walker (active inference-based locomotion), and BayesBrain (hybrid neuro-in-silico computing) His work spans nonlinear system identification , uncertainty quantification , and sensor modeling , with recent publications in IEEE Transactions , Entropy , and Communications in Computer and Information Science . Awards include the Niels Stensen Fellowship (2017) and TU/e Team Science Award nomination (2023) . Collaborations extend to institutions in Germany, USA, and Denmark, with teaching responsibilities in Bayesian Machine Learning and Neuro Computation .
Dr. Jan Stoop is an Associate Professor in the Department of Behavioural Economics at the Erasmus School of Economics, Erasmus University Rotterdam. His research focuses on measuring social preferences through laboratory and field experiments, as well as designing optimal labor contracts to understand employee incentives and effort. Stoop's primary research interests include the study of social preferences and their real-world applicability, alongside the analysis of labor contracts and employee behavior. He employs a dual methodology of controlled laboratory experiments and field experiments to explore how these preferences and incentives manifest in different settings. Key areas of exploration include unethical behavior in labor markets, gender disparities in academic and professional environments, the effectiveness of information campaigns, and environmental resource management through cooperative frameworks. His recent articles (2013–2025) consistently explore themes of social behavior, labor market dynamics, and experimental methods. Topics include the impact of socioeconomic status on prosocial behavior, disparities in psychological traits and income, and the role of punishment and reward in fostering cooperation. Over time, his work has shifted towards analyzing unethical behavior in digital environments and the broader societal implications of experimental findings. NWO Vidi Grant for applied economist (2019) Stoop advises two PhD students (names not listed) and has secured notable grants, including the NWO Vidi Grant. His research often involves collaborative efforts, combining theoretical models with empirical validation to address challenges in behavioral economics and labor market dynamics.
Hans Butler is a part-time Full Professor in the Control Systems group of the Department of Electrical Engineering at Eindhoven University of Technology. He holds an MSc (1986) and PhD (1990) from Delft University of Technology. As an ASML Fellow, he specializes in dynamics and control systems with a focus on lithographic scanner control, particularly sub-nanometer positioning accuracy challenges. His work integrates physics-guided neural networks and advanced control strategies for mechatronic systems. Research interests include feedforward control design, vibration isolation, opto-mechatronics, and precision engineering applications. His contributions bridge academic research and industrial practice through collaborations with ASML, focusing on high-precision mechatronic systems used in semiconductor manufacturing. Butler has led teams in actuators development, system dynamics, and damping solutions at ASML since 1991. His recent work emphasizes data-driven methods and neural network implementations in control systems, supported by grants like NWO project 17973. He co-developed a MATLAB toolbox for physics-guided neural networks, fostering practical tooling for control engineers.
Mark van Hoogdalem is a Researcher in Crop Physiology at Wageningen University & Research, specifically working within the Wageningen Plant Research business unit focused on greenhouse horticulture. His work centers on optimizing plant growth and quality under controlled environments, particularly examining the effects of lighting conditions on crop physiology. His research interests span multiple critical areas in modern horticulture, with particular emphasis on LED lighting applications , anthocyanin formation in plants, and fossil-free cultivation systems . He investigates how different light spectra affect plant morphology, physiology, and stress responses, with practical applications for greenhouse crop production. His work bridges fundamental plant physiology with applied horticultural technology, focusing on sustainable production methods that reduce energy consumption while maintaining crop quality. Analysis of his recent publications reveals a strong trend toward sustainable horticultural practices, particularly in developing energy-efficient lighting solutions and fossil-free cultivation systems. His research consistently addresses practical challenges faced by greenhouse growers while maintaining scientific rigor in plant physiology. The work spans from fundamental research on phytochrome responses and gene expression to applied studies on crop production systems. As project leader for multiple initiatives including 'Energiebesparing door het verleggen van (temperatuur) grenzen met biostimulanten' and 'Groen gewas, ook onder LED NAPRO', he manages significant research efforts focused on sustainable horticulture. His collaborative work extends across multiple institutions and industry partners, reflecting the practical applicability of his research. Van Hoogdalem is actively involved in knowledge transfer through numerous lectures, seminars, and workshops, particularly on topics related to 'Licht en Groei' (Light and Growth), demonstrating his commitment to bridging the gap between scientific research and practical horticultural applications.
Pieter Hogewerf is a researcher at Wageningen University & Research, specializing in Animal Health & Welfare. His work focuses on precision livestock farming, particularly in developing RFID-based monitoring systems for animal behavior and welfare assessment. Key areas: RFID technology, animal transport conditions, slaughter process analysis Active collaborations: European Association for Precision Livestock Farming Research interests center on technological applications for animal welfare improvement, with emphasis on real-time monitoring systems and environmental data capture in transport and farming environments. Recent publications highlight RFID implementations for pig behavior tracking and thermal stress measurement during animal transport. Research trends show strong focus on precision farming technologies and welfare optimization. Projects led include: NAPRO: Temperature monitoring in animal transport GrazeGuide: Smart grazing systems Smart Dairy Farming: RFID applications
Josette Gevers is a Full Professor at Eindhoven University of Technology (TU/e), where she co-chairs the Human Performance Management group within the Department of Industrial Engineering and Innovation Sciences. She is affiliated with the Eindhoven Artificial Intelligence Systems Institute (EAISI), contributing to both the EAISI Foundational and Human Performance Management research lines. Her research centers on the drivers of effective teamwork and performance across diverse team types — including project teams, action teams, science teams, and sports teams — and collaboration forms such as interdisciplinary, inter-organizational, and human-robot collaborations. A central theme is the impact of time-related demands and characteristics on team processes, particularly regarding creativity, innovation, and adaptation. Her work explores intersecting themes like team self-regulation, motivation, cognition, leadership, and learning. She investigates how workplace interventions — such as management practices and technology — can support teams by fostering shared understanding of goals, roles, processes, and identity to enhance integrative and adaptive performance. Her recent publications span high-impact journals and conferences in cognitive science, ergonomics, and environmental innovation. Key trends include the use of real-time coordination measures in human-autonomy teams, multi-level analysis of medical team training, leadership dynamics in emergency management, and governance for energy transition. These works reflect a strong interdisciplinary approach, integrating psychology, engineering, and policy. She is an associate editor of Small Group Research and consulting editor of Journal of Occupational and Organizational Psychology . Josette Gevers advises students and collaborates on funded research projects such as ORAKLE (supported by the Dutch Research Council), which focuses on organizing knowledge and learning for regional energy transition. She has delivered workshops and talks to help teams improve collaboration. Her research group, Human Performance Management, is embedded in a larger ecosystem of innovation and AI research at TU/e. Her lab and team focus on human performance in complex, dynamic environments, with applications in healthcare, emergency response, energy governance, and human-technology collaboration. She leads a research group that combines experimental, observational, and computational methods to study team coordination and effectiveness.
Hailin Zheng is a Postdoctoral Researcher at Eindhoven University of Technology's Faculty of the Built Environment, specializing in Building Services within the Department of Building Services. His work bridges architectural design, building physics, and environmental engineering with a focus on creating healthier indoor spaces through evidence-based solutions. Dr. Zheng's research centers on Indoor Environmental Quality (IEQ), particularly: Real-time wireless monitoring of indoor air quality in vulnerable settings Ventilation performance optimization for educational and healthcare facilities Exposure assessment of volatile organic compounds in daycare centers Development of personalized ventilation systems for infants and elderly populations Integration of healthy building principles into retrofit projects His multidisciplinary approach combines field measurements, controlled experiments, and building performance simulation to address critical gaps in occupant-centric environmental design. Analysis of his publication record reveals a strong emphasis on vulnerable populations (infants, elderly, dementia patients) and practical engineering solutions. Key trends include: Systematic evaluation of building technologies through controlled experiments Focus on microenvironments (baby beds, bedroom zones) Development of low-cost monitoring solutions for real-world implementation Integration of health outcomes with building performance metrics His scientific recognition includes: Best Paper Award at the 44th AIVC Conference (2024) TU/e Postdoc Best Paper Award with 750 euro prize (2024) Dr. Zheng actively contributes to academic discourse through: Editorial work for Sensors and Archives of Public Health journals Invited talks on 'IAQ to IEQ' and 'Invisible threats inside baby beds' Teaching master's courses including 'Introduction to Building Performance' and 'Masterproject BPS' Leading the 'Healthy Building Movement' research project (2023-2026) focusing on active building solutions His work directly supports UN Sustainable Development Goals 3 (Good Health) and 11 (Sustainable Cities), with practical applications in daycare centers, office buildings, and residential care facilities through the integration of monitoring technologies and evidence-based design principles.
M.H.M. Winands is a Professor in Machine Reasoning and Chair of the Department of Advanced Computing Sciences at Maastricht University's Faculty of Science and Engineering. He received his PhD in Artificial Intelligence from Maastricht University in 2004. His research focuses on heuristic search algorithms, Monte-Carlo Tree Search (MCTS), and artificial intelligence in games, with significant contributions to General Game Playing and adaptive search methods. Winands leads research on: Monte-Carlo Tree Search variants and hybridization Online learning of search-control knowledge Game-solving algorithms (Proof-Number Search) Self-adaptive AI systems for games His work has been applied to diverse domains including board games (Lines of Action, Clobber), video games (StarCraft, Ms. Pac-Man), and structural engineering. Analysis of his publications shows strong emphasis on: Enhancing MCTS robustness through parameter randomization Developing hybrid algorithms combining MCTS with classical search Creating adaptive systems for general game playing Hardware acceleration of game AI components Awards include: ChessBase Best-Publication Award (2004, 2008) Multiple Computer Olympiad wins for game-playing programs He has supervised 3 PhD students and 22 MSc students, with research supported by NWO grants (GoGeneral, Go4Nature). Leads the DKE Games and AI group and serves as Editor-in-Chief of the ICGA Journal.
Alessandro Saccon is an Associate Professor in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). His research focuses on robotics, nonlinear control, and optimal control, particularly in dynamic robotic systems with intermittent contacts. He holds a PhD in Control System Theory from the University of Padova (2006) and has held postdoctoral and visiting positions at institutions including Instituto Superior Técnico (Lisbon) and the California Institute of Technology. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Education: - PhD in Control System Theory, University of Padova, Italy (2006) - M.Sc. (Laurea) in Computer Engineering, University of Padova (with honors) - Visiting positions at University of Colorado Boulder, Caltech, and Australian National University. Research Interests: - Modeling and control of complex robotic systems - Nonlinear control and estimation - Optimal control and trajectory optimization - Impact-aware robotics and dynamic manipulation - Geometric mechanics and multibody dynamics Awards: Claudio Maffezzoni Best PhD Thesis Award (2006) Dutch Data Prize 2024 (Natural and Engineering Sciences) Advising & Grants: Supervised 64 works (students/research projects). Project Manager for FIDCOM RBT (2024-2029). Labs & Teams: Lead research on Impact-Aware Robotics, with datasets published on 4TU.Centre for Research Data.
Dr. Wesley Roozing is an Assistant Professor at the Robotics and Mechatronics (RaM) group and Robotics Centre of the University of Twente, Netherlands. He holds a PhD from the Italian Institute of Technology (2018) and was a visiting student at the Australian Centre for Field Robotics. His research focuses on compliant actuation, mechatronic co-design, energy-efficient systems, bio-inspired mechanisms, and control methodologies. He actively contributes to the robotics community through roles such as chair of the euRobotics Mechatronics Topic Group, associate editor for IROS and BioRob, and organizer of ICRA events. His work emphasizes high-performance robotics for applications like jumping, grasping, and athletic feats, with publications in top journals and conferences like IJRR, T-MECH, and ICRA. Education: PhD in Robotics, Italian Institute of Technology (2018) Visiting Student, Australian Centre for Field Robotics Research interests include advanced actuation systems, motor-gearing integration, and safety-critical control strategies. He leads national/international projects and teaches courses on energy-based modeling. His research bridges electric motor innovations with mechanical design to achieve dynamic robot capabilities. Notable awards include an honorable mention for the RA-L Best Paper Award (2021). His work contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (Goal 9) through advancements in energy-efficient robotics. Advising and Grants: Coordinates research projects, advises on robotics program development, and serves on examination boards. His grants fund collaborative efforts in mechatronics and robotics education. Labs/Teams: Part of the Robotics and Mechatronics group at University of Twente, contributing to the Robotics Centre’s interdisciplinary initiatives.
Rene Haijema serves as Associate Professor in Operations Research and Logistics at Wageningen University & Research, focusing on inventory management and food waste reduction in retail supply chains. He actively contributes to the International Society of Inventory Research (ISIR) as Executive Committee member and leads multi-disciplinary projects with industry partners to develop practical logistics solutions. Education background: Graduated with distinction from University of Amsterdam PhD in Operations Research (2008), University of Amsterdam; thesis on Markov Decision Theory for blood product inventory management His research centers on perishable inventory optimization using stochastic dynamic programming and simulation , with applications in food waste reduction, dynamic pricing, and omni-channel retail systems. Recent work emphasizes supply chain resilience against disruptions like COVID-19 through decision support systems that integrate real-time quality data. Haijema's publication trajectory shows increasing focus on food waste reduction since 2015, with 2020-2024 works concentrating on dynamic shelf life management, omni-channel inventory rationing, and resilience in European agri-food networks. His approach consistently bridges theoretical stochastic optimization with practical industry implementation. Scientific recognition includes: ORTEC Excellence in Advanced Planning Award (NGB/ORTEC) INFORMS Best Poster Award Finalist: KNAW-Christiaan Huygens Science Award Finalist: Euro Excellence in Practice Award ISIR Service Award (2024) Haijema has supervised four PhD completions and currently mentors three doctoral candidates. His grant portfolio features Horizon 2020's REFRESH project (dynamic pricing for waste reduction), TIFN RE-002 (spoilage reduction), and ZeroW (zero-waste supply chains), involving collaborations with European industry partners on decision support system development. He operates within Wageningen's Operations Research and Logistics group, which develops computational models for perishable supply chains. Current team efforts include REFRESH project implementations and DAVINC3I's virtualized floricultural logistics network, emphasizing real-world impact through industry-academia partnerships.
Aldo Bergsma is affiliated with the Laboratory of Geo-information Science and Remote Sensing at Wageningen University & Research. As a Lecturer, he focuses on geospatial technologies and their applications in environmental and ecological research. His work integrates remote sensing, GIS, and spatial modeling to address challenges in habitat suitability, forest dynamics, climate change impacts, and geospatial education. Research Interests: His expertise spans vector habitat modeling (e.g., Aedes albopictus), species distribution analysis, forest growth prediction under climate change, and system development for real-time environmental monitoring. He has pioneered projects like web-based forest monitoring systems and 3D visualization tools for land use analysis. His contributions to geospatial education include curriculum design and training programs through initiatives like the GI-N2K survey. Key Projects: Developed the GESO platform for sustainability visualization, contributed to sensor web architectures for vegetation monitoring, and analyzed spatial patterns in public transport trajectories. His research often bridges theoretical models with practical applications, emphasizing real-world environmental management solutions. Publications: Over 22 peer-reviewed outputs, including influential articles on invasive species modeling, forest growth predictions, and geospatial education frameworks. His work appears in journals like Parasites & Vectors and Ecology and Evolution .
X. (Zhou) Zhou is a Postdoc affiliated with the Faculty of Economics and Business at the University of Groningen, specifically within the HRM & OB — Management department. His research focuses on interdisciplinary areas including Agent-based modeling and simulation, Game theory, and Decision science. His expertise spans Computer Science (Theory & Methods, Interdisciplinary Applications) and Micro-economics (Industrial Organization). Dr. Zhou’s work addresses complex systems through methodologies like distributed control, adaptive algorithms, and fault-tolerant mechanisms. His recent publications emphasize spacecraft attitude stabilization, multi-agent coordination, and nonlinear control systems. Despite his postdoctoral role, he has contributed significantly to both theoretical frameworks and applied solutions in robotics and aerospace engineering. While no formal grants or awards are listed, his prolific output reflects sustained engagement with cutting-edge challenges in systems control and computational economics. His research often bridges theoretical models with practical implementations, such as in multi-robot systems and space mission design.
Sajid Mohamed is a guest researcher in the Electronic Systems group at the Department of Electrical Engineering, Eindhoven University of Technology. His work focuses on model-based design of image-based control systems tailored for resource-constrained domains like semiconductor manufacturing and automotive industries. PhD, M.Tech, and B.Tech degrees from TU/e, IIT Kharagpur, and NIT Calicut respectively His research combines expertise in Multiprocessor Systems , Deep Neural Networks , and Motion Control to address challenges in real-time performance and optimization. Key contributions include the IMOCO4.E reference framework and methodologies for vision-based DNN deployment on legacy hardware . Recent publications highlight advancements in Motion Control through multi-rate sensor fusion , DNN-driven visual perception , and predictable multi-core implementations . His work aligns with the UN Sustainable Development Goals, particularly in technological innovation for industrial efficiency. Best Paper Award at ECYPS (2019) Professionally, he serves as a Principal Software Engineer at ITEC B.V., integrating academic research with industry applications. Collaborations include projects like FitOptiVis and oCPS , emphasizing cyber-physical systems and edge computing.
Minh-Quan Tran is a University Researcher at Eindhoven University of Technology (TU/e) within the Department of Electrical Energy Systems, Faculty of Electrical Engineering. His work focuses on modern power distribution systems, renewable energy integration, and grid stability solutions, contributing to UN Sustainable Development Goals in sustainable energy. He maintains an ORCID profile (0000-0001-6430-7333) and has accumulated 99 Scopus citations for his 20 research outputs, with publication activity increasing from 2 works in 2019 to 7 in 2023. His key research interests include: Distribution System Engineering (100% fingerprint strength) Distributed Energy Resource Engineering (71%) State Estimation (64%) Voltage Stability (51%) Microgrid Control (40%) System State Monitoring (47%) Recent publications (2022-2024) reveal strong trends in AI-driven grid management, particularly Model Predictive Control and Graph Neural Networks for voltage stability and state estimation. Real-world case studies feature campus networks (e.g., Chalmers University), emphasizing practical validation of control strategies for low-voltage systems with high renewable penetration. Scientific Awards: No awards or honors are documented in the provided materials Advising and Grants: Tran lists no formal PhD/Master's students in the repository. His research involves IoT platforms, digital twins, and real-life demonstrations for flexibility optimization but lacks explicit grant details or funding acknowledgments in the extracted text. Labs and Teams: He operates within TU/e's Electrical Energy Systems research group, specializing in active distribution network monitoring, microgrid stability, and distributed resource control. Collaborations span international institutions as visualized in the repository's network map, with recent joint work involving Vietnamese and European universities.
