Fenny van Egmond is a researcher at Wageningen University & Research , affiliated with ISRIC - World Soil Information . Her work focuses on soil science, particularly in soil health, carbon mapping, and sensor technology integration for agricultural soils across Europe. Current role: Researcher in Soil, Water, and Land Use Key collaborations: EJP Soil, European institutions Active in EU soil monitoring law implementation Her research combines soil property analysis with remote sensing and sensor data to develop downscaling frameworks for soil carbon and clay maps. She contributes to policy development through interdisciplinary projects linking soil science with environmental law. Recent publications highlight her expertise in digital soil mapping , proximal sensing , and monitoring system design . She has led multiple projects (2016–2026) involving spectral libraries, UAV-based soil analysis, and field sensor testing. Notable contributions include creating metadata catalogues for European soil datasets and organizing workshops on soil health monitoring challenges. Her work supports the European Soil Monitoring Directive through technical and policy-oriented solutions.
Michiel Kallenberg is a Postdoctoral Researcher in Artificial Intelligence, focusing on applications in agricultural management and medical imaging. His work bridges reinforcement learning, machine learning, and domain adaptation with practical applications in crop yield prediction, nitrogen optimization, and breast cancer risk assessment. Research Areas: AI for agriculture, medical imaging, reinforcement learning Collaborations: Involved in interdisciplinary projects like 'Artificial Intelligence for reducing fertilizer and pesticide use' and 'Digital Future Farm' Recent publications highlight his expertise in constrained reinforcement learning for precision agriculture and volumetric breast density estimation using deep learning. His research trends show a dual focus on environmental sustainability and healthcare diagnostics. He co-supervises PhD candidates and collaborates with institutions on datasets like CY-Bench, which provides benchmarking for subnational crop yield forecasting. His projects emphasize integrating data-driven approaches with process-based models.
Hana Marie Broulikova is an Assistant Professor at the Vrije Universiteit Amsterdam (Faculty of Science), specializing in Health Economics and Health Technology Assessment. She also holds academic positions in the departments of Mental Health and Methodology. Her roles include advising for the Ministry of Health of the Czech Republic since 2020 and working at the National Institute of Mental Health (Klecany) from 2024 to 2027. Her research focuses on cost-effectiveness analysis, health technology assessment, and the economic implications of diagnostic and therapeutic interventions in neurology, mental health, and critical care. Her work contributes to UN Sustainable Development Goals related to affordable healthcare and well-being. Key research areas include Alzheimer's disease diagnostics, sepsis treatment optimization, and preterm birth prevention strategies. Recent studies explore the economic impact of amyloid-PET imaging in dementia diagnosis, personalized antibiotic dosing in sepsis, and low-dose aspirin efficacy in obstetrics. Research Interests: Health Economics, Neurological Disorders, Mental Health Policy, Cost-Benefit Analysis, Healthcare Technology Evaluation Recent Publications Trends: Cross-disciplinary focus on merging clinical outcomes with economic evaluation across neurology, obstetrics, and critical care Teaching includes courses on Economic Evaluation. Her work bridges academic research with policy implementation, particularly in Central European healthcare contexts.
Frank Jan de Graaf is a Full Professor and Lector in Corporate Governance & Leadership at Amsterdam University of Applied Sciences (Hogeschool van Amsterdam), affiliated with THE CENTRE FOR APPLIED RESEARCH ON ECONOMICS & MANAGEMENT. His expertise bridges academic research and practical challenges in corporate governance, ethical banking, and SME financing. He actively participates in global initiatives like the Global Alliance for Banking on Values, advocating for socially responsible financial practices. Research focuses on governance structures, corporate purpose deliberation, and stakeholder integration through a pragmatist lens. Key areas include ethical decision-making frameworks, regulatory standards for alternative financing, and sustainable banking models. He has led projects like 'Van Goede Huize' exploring independent oversight mechanisms in housing corporations and 'Gestapeld Financieren' analyzing SME financing strategies. His work appears in journals and media commentaries addressing topics such as crowdfunding regulations, moral accountability in finance, and the future of accounting professionals. Notable recognition includes the 2023 Fluide Eigenaarschap award for research on hybrid ownership models in creative industries. De Graaf emphasizes the integration of research and education, promoting 'phronetic' (practical wisdom) approaches in financial education. He collaborates with industry partners to bridge academic insights with real-world business challenges, emphasizing the role of Bildung (humanistic education) in professional development.
Konstantinos Stamoulis is a Full Professor in Aviation Engineering at Amsterdam University of Applied Sciences. His research focuses on advanced materials, maintenance technologies, and data-driven solutions for aviation systems. Key areas include composite materials behavior, non-destructive testing (NDT), and sustainable maintenance practices. Recent work explores smart maintenance systems using digital technologies, electric aircraft operations, and 4D printing applications. He has organized major conferences like the International Symposium on Aviation Technology and contributed to datasets on MRO analytics. Recipient of the 2019 SARES Science Award, his research bridges theoretical advancements with practical aviation challenges, emphasizing interdisciplinary collaboration.
Marius Schoettle is a Research Fellow in the Self-Organizing Matter group at AMOLF , a research institute in Amsterdam, Netherlands. His work focuses on colloidal materials, thermal transport, and photonic gradients.
Jacqueline Scherpen is a Professor at the University of Groningen, affiliated with the Discrete Technology and Production Automation department in the Faculty of Science and Engineering. She serves as Director of Engineering and Captain of Science for the Dutch High Tech Systems and Materials (HTSM) sector. Her expertise spans nonlinear control, model reduction, and smart energy systems, with applications in electromechanical systems and networks. She holds an MSc and PhD from the University of Twente (1990, 1994) and has held roles at TU Delft and leadership positions at ENTEG (2013-2019). She is an IEEE Fellow, editor for IEEE Transactions on Automatic Control , and received prestigious awards including the Prince Friso Prize (2023) and the Automatica Best Paper Prize (2020). Her research focuses on energy-based control, passivity, and Hamiltonian systems. Recent work includes port-Hamiltonian frameworks, distributed control for smart grids, and model reduction techniques for nonlinear networks. She actively contributes to IFAC and SIAM, emphasizing interdisciplinary collaboration and sustainable development goals.
Niels Taatgen is a Professor of Cognitive Modeling at the University of Groningen , affiliated with the Faculty of Science and Engineering and the Bernoulli Institute . His research focuses on human multitasking , cognitive architectures , mental fatigue , and skill acquisition . He has received significant recognition, including the Teacher of the Year award at the University of Groningen in 2016 and an ERC grant in 2011 for multitasking research. His recent publications span neuroscience , artificial intelligence , and educational technology , with a focus on visuo-motor learning , language modeling , and adaptive working memory . His work often integrates fMRI , cognitive modeling , and spiking neural networks to explain human behavior and improve AI systems. Scientific Awards: Teacher of the Year, University of Groningen (2016) His research group explores multitasking strategies , attentional control , and brain-inspired computing , with applications in medical education , human-computer interaction , and cognitive training .
Dr. Bram de Jonge is an Associate Professor and program coordinator for the BSc in Econometrics and Operations Research (EOR) at the Faculty of Economics and Business, University of Groningen. He is affiliated with the Department of Operations, where he specializes in Operations Research & Management Science with a focus on Industrial Operations Management. His academic journey began at the University of Groningen, where he earned both his MSc in Econometrics, Operations Research & Actuarial Studies (cum laude) and his PhD. Dr. de Jonge's educational background includes: MSc in Econometrics, Operations Research & Actuarial Studies (cum laude), University of Groningen PhD, University of Groningen His research primarily focuses on maintenance optimization, asset management, reliability engineering, and stochastic operations research. Dr. de Jonge has developed significant expertise in condition-based maintenance optimization, where he applies mathematical modeling and stochastic processes to solve complex maintenance problems. His work often bridges theoretical operations research with practical industrial applications, particularly in optimizing maintenance policies under various constraints and uncertainties. He has made notable contributions to understanding the economic implications of different maintenance strategies and developing data-driven approaches for maintenance optimization. Analysis of Dr. de Jonge's publication record reveals a strong trajectory in maintenance optimization research, with particular emphasis on condition-based approaches. His work demonstrates increasing sophistication in handling complex scenarios including limited data availability, mobile maintenance resources, production-maintenance integration, and multi-unit systems. He has developed innovative mathematical techniques, such as matrix algebra applications for maintenance optimization, and has contributed significantly to the theoretical foundations through comprehensive literature reviews. His research consistently addresses practical industrial challenges while maintaining rigorous mathematical foundations. Dr. de Jonge actively supervises Master's thesis projects in Operations Research and teaches multiple courses including OR Modelling, Data-driven Optimization, and Planning and Control of Stochastic Systems. His teaching portfolio reflects his research expertise, creating a strong connection between his academic instruction and scholarly work. One of Dr. de Jonge's notable contributions to the field is the Maintenance Library, a comprehensive resource containing over 1,300 scientific papers in maintenance planning and optimization. This library serves as an important tool for researchers in the field, categorizing literature from 1,836 authors published across 139 different journals. The library demonstrates his commitment to advancing the field through knowledge organization and sharing.
Matthias Kempe is an Assistant Professor of Data Science in Sports at the University of Groningen's Faculty of Medical Sciences. He holds a PhD in Sport Science from the German Sport University Cologne, specializing in Exercise Training and Sport Informatics. His research focuses on optimizing athletic performance, decision-making in team sports, and sports analytics, with an emphasis on applications of data science and machine learning. Education: PhD in Sport Science (German Sport University Cologne), Faculty of Exercise Training and Sport Informatics. Current roles include editorial work for Science and Medicine in Football and frequent contributions to academic conferences and professional talks on sports analytics. Research Interests: Performance optimization in team sports Machine learning applications in sports performance analysis Recovery strategies for endurance athletes Gender-specific health challenges in elite sports Player tracking data analysis in soccer Recent publications highlight trends in analyzing defensive tactics via tracking data, evaluating recovery strategies, and exploring psychological factors in high-pressure sports environments. His work bridges computational methods with practical sports science to improve training and competitive strategies. Labs/Teams: Associated with the SMART (SMART Movements) research group at the University of Groningen, focusing on innovative sports analytics and data-driven decision-making in sports.
Theo A.M. Salet is the Dean and Full Professor of Structural Design/Concrete Structures at the Department of the Built Environment, Eindhoven University of Technology (TU/e). His research focuses on integrating design and construction in concrete, particularly in 3D printing and additive manufacturing. He holds a MSc and PhD from TU/e, with prior industry experience at SGS Intron and Witteveen+Bos. His work emphasizes high-tech concrete applications, including parametric design tools and numerical modeling. He leads a research group operating its own 3D concrete printer, addressing structural applications and print process robustness. Education: MSc in Built Environment, TU/e (1986) PhD in Concrete Sandwich Constructions, TU/e (1990) Research Interests: Theo’s research spans numerical simulations in hardening concrete, parametric design tools, and 3D-printed reinforced concrete. His work bridges theory and practical applications, advancing Industry 4.0 innovations in construction. Key areas include interlayer bond strength, lightweight materials, and sustainable concrete frameworks. Awards: 2018: Digital Concrete conference – Best Paper Award 2022: RILEM Digital Concrete – Best Poster Award 2024: RILEM Digital Concrete – Best Presentation Award
Rob J.M. Wolfs is an Assistant Professor at Eindhoven University of Technology (TU/e), specializing in Structural Engineering and Design. He holds dual roles as a faculty member in the Built Environment department and as an EAISI High Tech Systems Assistant Professor. His academic background includes a MSc (2015) and a PhD (cum laude, 2019) from TU/e, both focusing on 3D concrete printing. His research emphasizes digital design, robotics-driven construction, and sustainable practices in architecture and engineering. Key interests include 3D concrete printing, quality control, and integration of machine learning for structural optimization. He serves as an Associate Editor for Springer’s Materials & Structures and has received prestigious awards like the 2022 Veni Grant and the 2024 RILEM Medal. Recent articles highlight advancements in quality control frameworks, data-driven manufacturing, and large-scale applications of 3D-printed concrete. His work often bridges theoretical models with practical field implementations, addressing both technical challenges and sustainability goals. Rob frequently collaborates internationally, including visiting research roles at IFSTTAR (France) and DTU (Denmark). He teaches courses on digital design, resource-efficient engineering, and construction technologies. Media engagements include expert commentary on 3D-printed housing and future construction trends.
Vinzenz Koning is Assistant Professor in Sustainable Energy Supply Systems at Utrecht University's Copernicus Institute of Sustainable Development. His research develops computational models to analyze energy transitions and decarbonization pathways. Research focuses on three interconnected areas: 1) Behavioral decision-making in energy system models, 2) Green hydrogen's role in future energy infrastructures, and 3) Interdependencies between materials production and energy systems. Uses optimization models, agent-based simulations, and machine learning approaches. Publication portfolio spans energy system modeling, electrolyzer cost and performance analysis, industrial decarbonization strategies, and renewable integration challenges. Recent work advances methods for resilience assessment in energy systems and spatial analysis of mobility energy patterns. Teaches energy systems analysis and sustainability transitions. Participates in Utrecht University's Center for Complex Systems Studies and contributes to national research networks on low-carbon energy systems.
Paula Schipper is a Lecturer and PhD Candidate at the Innovation Studies group within the Copernicus Institute of Sustainable Development at Utrecht University. She holds an MSc and is pursuing a PhD in Innovation Sciences. Her work focuses on knowledge transfer mechanisms between organizations, particularly in contexts like university-industry collaborations and triple helix systems. Research themes include sustainability transitions, open science, economic geography of innovation, and pathways to sustainability (PtS). Teaching responsibilities include courses such as 'Introduction to Technology and Innovation,' 'Statistics for NW&I,' and 'Mathematics and Systems Analysis' across the Bachelor of Science and Innovation Management and the Master of Innovation Sciences programs. She actively contributes to curricula emphasizing transition thinking, networks, and policy analysis. Her research projects analyze how regional context factors influence the success of sustainability experiments, with a focus on energy policy evaluation (e.g., Netherlands' Topsector Energiebeleid reports) and knowledge co-creation frameworks. Methodologically, her work bridges qualitative policy analysis and spatial-economic perspectives. Paula’s involvement spans academic and applied research, balancing pedagogical innovation with empirical studies on innovation ecosystems and sustainable development challenges. Current efforts prioritize bridging theoretical models with real-world applications in energy, mobility, and urban systems.
Eric van Heck is a Professor of Information Management and Markets at the Rotterdam School of Management (RSM), Erasmus University Rotterdam. He is a Fellow at ERIM and has been affiliated with the institution since 1999. His research focuses on leveraging technology for digital and circular business transformations, with expertise in AI, data analytics, and auction markets. He co-founded the Erasmus Center for Data Analytics (ECDA) and master programs in Business Information Management and Business Analytics and Management. Education: PhD in Information Systems, Wageningen University BSc and MSc in Land and Water Use & Information Management, Wageningen University Research Interests: Eric’s work integrates insights from economics, management science, and computer science to address challenges in digital ecosystems, supply chain logistics, and circular economy innovations. He has led high-impact projects like the iFlow initiative in horticulture and published in top journals like Management Science and MIS Quarterly . Awards: 2020 AIS Impact Award 2021 INFORMS Information Systems Society Design Science Award Advising & Leadership: Eric has supervised over 40 PhD students and holds leadership roles in global AIS communities, including co-chairing ECIS 2020. He teaches AI and digital transformation courses and contributes to executive education at RSM. His work bridges academia and industry, informed by corporate experience as a software programmer and visiting roles at NYU, MIT, and others. Labs & Teams: Leads initiatives at ECDA and collaborates with institutions like Wageningen University and Royal FloraHolland. His projects emphasize practical applications, such as the iFlow project’s AI-driven solutions for floriculture.
