Find Academic Supervisors

• Econometrics
• Labor Economics
• Public Policy
• +3 more

Gerard J. van den Berg is a Professor at the University of Groningen, holding dual affiliations in the Faculty of Economics and Business (Department of Economics, Econometrics and Finance) and the Faculty of Medical Sciences (Department of Epidemiology). His research focuses on labor economics, public policy, health economics, and econometrics. He has contributed to studies on unemployment dynamics, labor market policies, and transgenerational health effects. Notably, he has led randomized controlled trials evaluating integration agreements for the unemployed and examined the impact of economic conditions on health outcomes. He is a Fellow of the Econometric Society and a member of the Royal Netherlands Academy of Arts and Sciences. His work spans interdisciplinary areas including epidemiology, development economics, and behavioral economics. Education details are not explicitly provided in the text, but his roles suggest advanced academic training in economics and epidemiology. He has been involved in numerous collaborative projects across institutions such as the Institute for Employment Research (IAB), IZA, and J-PAL. His recent publications explore topics like minimum wage effects, biomarker-driven health studies, and the long-term impacts of early-life environments. Awards: Royal Netherlands Academy membership, Fellow of Econometric Society. Grants/Projects: Evaluation of labor market programs (IZA), research on economic determinants of diabetes (Health Economics). Labs/Teams: Affiliated with multiple institutions including CEPR, ZEW, and IFAU.

Ashish CherukuriView profile

Associate Professor

• Optimization
• Control Systems
• Multi-agent Systems
• +7 more

Ashish Cherukuri is an Associate Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Optimization and Decision Systems group. His research focuses on optimization-based control, game theory, and multi-agent systems applied to energy, transportation, and robotics. He holds a Ph.D. from UC San Diego and postdoctoral experience at ETH Zurich. Education: Ph.D., University of California, San Diego (2012–2017) M.Sc., ETH Zurich (2008–2010) B.Tech, Indian Institute of Technology Delhi (2004–2008) Research Interests: Data-driven optimization, distributed algorithms, networked cyber-physical systems, and uncertainty handling in energy and transportation systems. Recent work emphasizes stochastic optimization, game-theoretic routing, and risk-aware control. Awards: Robert E. Skelton Dissertation Award (2017) Outstanding Graduate Student Award (2016) Focht-Powell Fellowship (2012–2015) Grants & Service: Editor for the IEEE Control Systems Society, organizer of Energy-Open 2019, and member of professional societies (IEEE, INFORMS, SIAM). Active in conference organization and academic leadership roles. Labs/Teams: Part of the Jan C. Willems Center for Systems and Control and the Engineering and Technology Institute Groningen (ENTEG). Research integrates theoretical advancements with practical applications in energy networks and smart systems.

Luciano Cavalcante SiebertView profile

Assistant Professor

• Responsible Artificial Intelligence
• Ethical Artificial Intelligence
• Human-AI Interaction
• +4 more

Luciano Cavalcante Siebert is an Assistant Professor at the Interactive Intelligence Group within the Intelligent Systems department of the EEMCS faculty at Delft University of Technology. His research focuses on Responsible Artificial Intelligence, developing hybrid methods that combine machine learning and symbolic approaches to ensure AI systems remain under meaningful human control within sociotechnical contexts. His educational background includes: B.Sc. in Mechatronics from Pontifical Catholic University of Paraná (PUCPR) M.Sc. and Ph.D. in Electrical Engineering from the Federal University of Paraná (UFPR), Brazil During his Ph.D., he was a guest researcher at Eindhoven University of Technology (TU/e), and prior to his current position, he served as a postdoc at TU Delft's AiTech initiative. Professor Siebert's research program is structured around four pillars: (1) eliciting and aligning with human values and norms, (2) incorporating ethical principles into AI, (3) enabling interactive human control and responsibility mechanisms, and (4) adapting to emergent societal norms. His interdisciplinary work bridges computer science, ethics, and social sciences, with applications in robotics, optimization, and automation. With over eight years of research experience, he develops practical frameworks for human-centered AI that prioritize societal benefit and accountability. Based at TU Delft's campus in Delft, Netherlands, Siebert actively contributes to the Interactive Intelligence Group's mission of advancing intelligent systems that empower humans and enhance societal well-being through responsible innovation.

Rémy JacquemondView profile

Researcher

• Redox Flow Batteries
• Membrane Technology
• Materials Science
• +3 more

Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.

• Corporate Crime
• Drug Trafficking
• Organized Crime
• +6 more

Dr. Damian Zaitch is an Associate Professor at the Willem Pompe Institute for Criminal Law and Criminology, School of Law, Utrecht University. He has been with Utrecht University since 2009, having previously taught at the Department of Criminology at Erasmus University Rotterdam from 2000 to 2009. His academic work spans three interconnected research domains: illegal drug trafficking and policies, cross-border organized and corporate crime, and green criminology. Zaitch's research interests include Corporate Crime, Drug Trafficking and Policies, Organized Crime, Latin America, and Environmental Criminology. His methodological expertise lies in qualitative research methods, particularly virtual ethnography and visual criminology. He has conducted extensive fieldwork on drug trafficking through the port of Rotterdam, synthetic drug markets in Amsterdam, and alternative drug policies in Latin America, with a focus on harm reduction approaches. His recent publications demonstrate a strong focus on green criminology, particularly examining environmental crimes related to resource extraction in Latin America, as well as continuing work on transnational organized crime networks. His research often examines the intersection of state and corporate power in creating environmental harms and human rights violations. Willem Nagel Prize (2003) for his PhD research Founding and board member of CIROC (Center for Information and Research on Organized Crime) Coordinator of the Erasmus Mundus Doctorate in Cultural and Global Criminology Coordinator of the Utrecht PhD Summer School on Advanced Qualitative and Legal Methods in Criminology Zaitch teaches courses including International Organized Crime, Crimes of the Powerful, and Green Criminology at both undergraduate and graduate levels. He co-supervises numerous PhD projects on topics ranging from Nigerian cocaine trafficking networks to environmental rights violations by multinational corporations. His research is conducted within Utrecht University's strategic themes of Institutions for Open Societies and Pathways to Sustainability.

Twan BastenView profile

Professor

• Embedded Systems
• Cyber-Physical Systems
• Model-Driven Engineering
• +3 more

Twan Basten is a Full Professor in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads research on embedded and cyber-physical systems, focusing on model-driven design, computational models, and system dependability. He holds an MSc (1993) and PhD (1998) in Computing Science from TU/e, advancing from Assistant to Full Professor by 2009, and became the Electronic Systems group chair in 2013. His research spans international projects (FP5-7, H2020, ECSEL) and Dutch initiatives (STW, NWO, RVO), with over 200 publications and seven best paper awards. He has co-supervised 21 PhD students and actively participates in program committees and conferences. His work contributes to UN Sustainable Development Goals through innovations in smart systems. Education: MSc in Computing Science, TU/e (1993) PhD in Computing Science, TU/e (1998) Research Interests: Explores design methodologies for embedded systems, including scenario-based design, real-time scheduling, and performance analysis. Specializes in model-driven engineering and computational models to ensure system dependability. Active in projects like TRANSACT (real-time systems) and SAM-FMS (flexible manufacturing). Key Contributions: Co-author of 1 book and over 200 scientific publications Recipient of seven best paper awards Co-supervised 21 PhD degrees Senior member of IEEE and lifetime member of ACM Labs & Teams: Leads the Model-Based Design Lab and contributes to EAISI High Tech Systems initiatives. Collaborates on tools like TRACE4CPS for execution trace analysis and CReTS for vehicle platooning simulation.

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.

Jacquelien ScherpenView profile

Professor

• Automation & Control Systems
• Nonlinear Control Systems
• Smart Energy Systems
• +3 more

Jacquelien Scherpen is a Professor at the University of Groningen, currently serving as Rector Magnificus. She holds a position in the Engineering and Technology institute Groningen (ENTEG) within the Faculty of Science and Engineering. Her academic journey includes a PhD in Applied Mathematics from the University of Twente (1994) and post-doctoral roles at Delft University of Technology before joining Groningen in 2006. She has been a leader in systems and control research, with roles as Scientific Director of ENTEG (2013–2019) and Director of the Groningen Engineering Center (2016–2023). Her research focuses on model reduction, nonlinear control, smart energy systems, and distributed control applications in smart grids. Key achievements include the Automatica Best Paper Prize (2020), Knight of the Order of the Netherlands Lion (2019), and the Prince Friso Engineer of the Year Award (2023). She has held leadership roles in organizations like the European Control Association (EUCA) and is a Fellow of IEEE. Her professional activities include editorial roles in journals like the IEEE Transactions on Automatic Control and the International Journal of Robust and Nonlinear Control. She has organized major conferences, including the European Control Conference (ECC) 2021 and 2023. Her work bridges theoretical advancements with practical applications, emphasizing sustainability and engineering innovation.

• Cavitation physics
• Vortex dynamics
• Microbubble technology
• +3 more

T.J.C. van Terwisga is a Professor at the Ship Hydromechanics and Structures department of Delft University of Technology (Faculty of Mechanical, Maritime and Materials Engineering). His research focuses on cavitation phenomena, vortical flows, and microbubble dynamics, with applications in ship hydrodynamics and marine technology. PhD in Mechanical Engineering (specialization in cavitation physics) Editorial Board Member: The Journal of Ocean Technology (2006–present) Research Interests : Cavitation inception and erosion mechanisms Air lubrication systems for ship drag reduction Underwater shipping noise propagation Bubble dynamics in vortical flows Experimental fluid mechanics Hydrofoil performance optimization Scientific Contributions : Developed advanced calibration methods for microbubble measurement systems Investigated air lubrication regime transitions under varying flow conditions Studied cavitation onset in counter-rotating vortex flows Explored bubble capture mechanisms in vortical flows Contributed to underwater soundscape modeling for maritime operations Editorial Roles : Editor, The Journal of Ocean Technology (2006–present) Editor, The Journal of Ocean Technology (2009–present)

Roel LoonenView profile

Associate Professor

• Adaptive facades
• Building-integrated renewable energy
• Energy efficiency in buildings
• +3 more

Roel Loonen is an Associate Professor at the Unit Building Physics and Services within Eindhoven University of Technology's Department of the Built Environment. Since October 2024, he has joined the EIRES Management Team, leading the Energy Transition in the Built Environment focus area alongside Lenneke Kuijer. His work emphasizes integrating energy efficiency with occupant comfort through advanced building simulation techniques. Academic Affiliation: Eindhoven University of Technology Management Role: EIRES Management Team Research Focus: Adaptive facades, building-integrated renewable energy, and occupant behavior modeling Loonen’s research explores modeling and simulation strategies for buildings that reconcile high indoor quality with minimal environmental impact. Key projects include collaborations with eyrise on solar shading glass and TNO on the ZIEZO project, which experiments with insulated glazing units that combine solar shading with bifacial photovoltaics at the SolarBEAT facility. His work spans computational methods for urban irradiation, occupant-facade interaction frameworks, and multi-domain thermal comfort modeling. The ZIEZO project exemplifies his approach to energy-efficient design by redirecting reflected light to enhance photovoltaic output while maintaining daylight comfort. His publications address challenges in adaptive façade systems, PV integration, and sensitivity analysis for heating demand. Loonen advocates for interdisciplinary collaboration to bridge technical innovation with societal implementation needs. Loonen’s educational contributions include co-teaching the interdepartmental master course Sustainable Energy Technology and developing interactive simulation-based teaching tools. He emphasizes connecting energy-related research to practical implementation through stakeholder engagement with municipalities, building companies, and grid operators. Key facilities involved in his research include SolarBEAT (for testing solar technologies) and TU/e’s simulation laboratories. His work addresses urban energy transitions by combining building physics with grid interactions, occupant behavior, and scalable PV system optimization.

Ilja K. VoetsView profile

Professor

• Soft Matter Physics
• Polymer Science
• Colloidal Self-Assembly
• +6 more

Ilja K. Voets is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of Chemical Engineering and Chemistry, leading the Self-Organizing Soft Matter research group. She is also a Core member of the Institute for Complex Molecular Systems (ICMS). Her academic journey began at Wageningen University & Research where she earned her PhD cum laude in 2008, followed by postdoctoral research at the Aldolphe Merkle Institute in Switzerland. Since 2011, she has been at TU/e, becoming a full professor in 2018. Her educational background includes Molecular Sciences at Wageningen University & Research, with a PhD focusing on micellisation in dilute aqueous solutions of oppositely charged double hydrophilic block copolymers. She was supervised by dr. Arie de Keizer and prof. Martien A. Cohen Stuart. Professor Voets leads an interdisciplinary team of chemists, physicists, biologists, and engineers studying self-assembly processes in biological soft matter. Her research focuses on colloidal self-organization, polymer assembly and folding, and protein biophysics, with particular interest in ice-binding proteins that help organisms survive in extreme cold environments. She investigates how to control intra- and intermolecular copolymer assembly to develop novel functional soft materials, artificial enzymes, and strategies to enhance colloidal stability. A key challenge in her work involves orchestrating colloidal self-assembly with remote cues such as light and temperature. Her recent publications reveal a strong focus on antifreeze proteins, colloidal assembly, and nanoparticle technology, with significant contributions to understanding ice-binding mechanisms and developing novel soft materials. The research demonstrates consistent high-impact output across prestigious journals including PNAS, Angewandte Chemie, and Biomacromolecules. Ambizione Award (2010) : Recognizing early-career research excellence DMS Science and Technology Award (2009) : For significant contributions to materials science ERC Consolidator Grant (2021) : Supporting advanced research in ice-binding protein-polymers Ice-binding protein-polymers project (2016) : Focused on control over ice growth in soft materials Innovative peptide system award (2019) : For novel drug targeting approaches Professor Voets supervises numerous research projects and students, teaching courses including Biological Physics, Physical Chemistry, and Experimental Soft Matter. Her research group is affiliated with the Institute for Complex Molecular Systems, Eindhoven Polymer Laboratories, and the Gravity Program Functional Molecular Systems. Industry collaborations include DSM, Kemetyl, and Unilever, demonstrating the practical applications of her fundamental research. Her work contributes significantly to UN Sustainable Development Goals related to responsible consumption, climate action, and life below water.

Valentina BreschiView profile

Assistant Professor

• Data-driven control
• Control systems
• Machine learning
• +5 more

Valentina Breschi is an Assistant Professor in the Control Systems Group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). She holds a Ph.D. from IMT School for Advanced Studies Lucca, with postdoctoral and junior faculty experience at Politecnico di Milano. Her research focuses on data-driven control, jump model learning, meta-learning for system identification, and human-centered policy design for mobility systems. She contributes to UN Sustainable Development Goals related to sustainable infrastructure and innovation. Education: B.Sc. in Electronic and Telecommunication Engineering (University of Florence, 2011) M.Sc. in Electrical and Automation Engineering (University of Florence, 2014) Ph.D. in Control Systems (IMT School for Advanced Studies Lucca, 2018) Research Interests: Her work spans data-driven control methodologies, including LPV control, predictive control, and ethical frameworks for policy design. She explores applications in sustainable mobility, energy systems, and healthcare, emphasizing fairness and social impact. Labs/Teams: She is part of the Control Systems Group, collaborating on projects like the CONSIDER study and the design of fair-MPC frameworks. Her work integrates theoretical control principles with real-world applications in smart systems and social networks.

• Clinical Child and Family Studies
• Adolescent Development
• Parent-Adolescent Relationships
• +12 more

Loes Keijsers is a Full Professor in Clinical Child and Family Studies at the Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam. Her work focuses on adolescent development, parent-adolescent relationships, and the application of advanced methodological approaches such as Experience Sampling Methods to study daily emotional and behavioral dynamics in teens. Her research interests include: Clinical Child and Family Studies Adolescent mental health and well-being Parenting dynamics and autonomy support Statistical modeling and longitudinal analysis Digital interventions and e-health tools for youth Her recent publications highlight a strong trend in using intensive longitudinal data and mobile technology to understand heterogeneity in adolescent development and family processes. She emphasizes preregistered research and robust statistical models to enhance scientific rigor. Her work increasingly integrates digital tools such as smartphone apps and serious games (e.g., the Grow It! App) to promote adolescent mental health. Notable contributions include: Developing and evaluating e-health applications for adolescent depression Advancing ecological momentary assessment in family research Translating psychological research into public impact through TEDx talks and the book Waarom tieners zo irritant kunnen zijn Contributing to UN Sustainable Development Goals related to well-being and mental health She actively supervises research and has contributed to multiple datasets in the areas of social media use, adolescent well-being, and intensive longitudinal methods. Her collaborative network spans interdisciplinary teams working on youth mental health innovation. Loes leads the research project PROJECT ADAPT (www.projectadapt.nl), which aims to develop and implement personalized digital tools to support adolescent mental health and family functioning. She is also active on social media (Twitter: EUR_ADAPT) and engages in public science communication through platforms like TEDx and Universiteit van Nederland.

Vanessa MagnanimoView profile

Professor

• Discrete Element Method (DEM)
• Soil Micromechanics
• Granular Materials
• +4 more

Vanessa Magnanimo is a Full Professor at the MESA+ Institute, University of Twente, specializing in the micromechanics of granular materials and clays using advanced Discrete Element Method (DEM) simulations . Her research bridges micro- and macro-scale behavior of soils, focusing on computational modeling , small-strain stiffness , and material stabilization . She has led 107 research outputs and 2 datasets , including studies on wet granular systems , bio-cemented soils , and vegetated soil mechanics . Recent work includes 2025 publications on coarse-grained DEM and mixing indices in industrial processes. Notable activities include keynote talks at international events (2018–2020), visiting researcher appointments at institutions like 3SR Laboratory (2017) and Politecnico di Bari (2020), and editorial contributions. Her research spans geotechnical engineering , powder technology , and multi-scale modeling , with applications in soil stabilization , industrial powder handling , and eco-mechanical systems .

Maria LoiView profile

Professor

• Photophysics
• Optoelectronics
• Perovskite Solar Cells
• +3 more

Maria Loi is a Professor at the Faculty of Science and Engineering , University of Groningen, leading the Photophysics and OptoElectronics group. With over 321 research outputs and 17 datasets, her work focuses on the photophysics and optoelectronics of novel semiconductors including perovskites and quantum dots. Her research aims to understand and optimize semiconductor properties for applications in solar cells, LEDs, and photodetectors. Notable contributions include advancements in tin-based perovskites and unraveling hot carrier dynamics that challenge Shockley-Queisser limits. Scientific Awards : ERC Advanced Grant (2022) ERC Starting Grant (2013) Physica Prijs (2018) Fellowships: American Physical Society (2020), KNAW (2022), Royal Society of Chemistry (2022), EURASC (2022) Recent Trends : 2024-2025 publications emphasize defect passivation , scalable fabrication methods , hot carrier dynamics , and neuromorphic device applications in tin-lead and low-dimensional perovskites.