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Jie LiView profile

Adjunct Professor

• Human-Computer Interaction (HCI)
• User Experience (UX) Design
• Extended Reality (XR)
• +7 more

Dr. Jie Li is a dual-career academic and creative professional with a PhD in Industrial Design Engineering from Delft University of Technology. As an HCI/UX researcher in industry and Adjunct Professor at multiple institutions, she bridges academia and practice through work on Extended Reality (XR) , Human-AI interactions , and user experience evaluation . Her ACM Interactions column 'Bits to Bites' explores interdisciplinary research methodologies. Education: MSc in Industrial Design Engineering, Delft University of Technology PhD in Industrial Design Engineering, Delft University of Technology (2019) Her research spans social VR platforms , AI-augmented cognition , and privacy-preserving emotion detection , with recent publications analyzing LLM-assisted game design , harassment detection in VR , and XR's impact on remote collaboration . She has received Best Demo Awards (2020, 2022) and the ACM Best Paper Award (2018). Notable trends in her work include emerging immersive technologies (XR, 6DoF displays), human-AI collaboration frameworks , and cross-domain applications from medical VR clinics to cultural heritage experiences . Her advocacy for synthetic UX research and asynchronous co-creation tools reflects industry-academia hybrid innovation. Scientific Awards: Best Demo Award (2020, ACM TVX/IMX 2020) Best Demo Award (2022, ACM Multimedia) ACM Best Paper Award (2018, ACM TVX) While maintaining active roles in CHI conference committees and guest lecturing , Jie also operates a Delft-based creative cake design business , demonstrating her commitment to interdisciplinary exploration and 'slash career' balance between technical research and artistic practice.

Antoni Forner CuencaView profile

Associate Professor

• Electrochemical Engineering
• Energy Storage
• Fuel Cells
• +4 more

Antoni Forner-Cuenca is an Associate Professor at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, leading the Electrochemical Materials and Systems group. He holds a PhD from ETH Zurich (2016) and conducted postdoctoral research at MIT (2017-2018). His research focuses on advancing energy storage and conversion technologies, including redox flow batteries, fuel cells, and CO₂ reduction systems. He has received prestigious awards such as the NWO Veni Grant (2019), ERC Starting Grant (2022), and the ETH Zurich Medal (2017). Research interests include designing porous electrodes, optimizing electrochemical systems, and developing sustainable materials for large-scale energy storage. His group collaborates on projects like the Next-generation gas diffusion electrodes for CO₂ reduction and low-cost iron-air flow batteries. Key contributions involve non-solvent induced phase separation techniques and computational modeling for electrode optimization. Grants & Projects: Next-generation gas diffusion electrodes for electrochemical reduction of CO₂ to ethylene (2021-2025) CuGDEs - Copper-based gas diffusion electrodes for CO₂ reduction (2020-2027) Media Highlights: Featured in press coverage on eco-friendly redox flow batteries and lung-inspired electrode designs Invited expert commentary on energy storage innovations Labs/Teams: Leads the Electrochemical Materials and Systems group, focusing on interdisciplinary research at the interface of materials science and energy engineering.

Vidya ChandrasekaranView profile

Researcher

• Toxicology
• In Vitro Toxicology
• Stem Cell Research
• +4 more

Vidya Chandrasekaran is a Researcher at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Science and the Department of Chemistry and Pharmaceutical Sciences. She holds an integrated Master's degree in Industrial Biotechnology from SASTRA University, India (2015), and is completing a PhD focused on iPSC-derived renal proximal tubule models for nephrotoxicity testing. Her research emphasizes developing in vitro systems for toxicity assessment using induced pluripotent stem cells (iPSCs). Key research areas include: iPSC differentiation protocols for kidney cells Nephrotoxicity testing using organoid models Transcriptomic analysis of toxic responses Animal-free chemical safety assessment She contributed to the in3 project , a multidisciplinary initiative for animal-free toxicity testing, alongside Prof. Paul Jennings. Her work has been published in journals like Toxicology in Vitro and Scientific Reports . Current projects involve advancing chronic toxicity prediction models and cadmium exposure mechanisms in renal cells. Collaborations include Harvard Medical School and Brigham and Women’s Hospital, focusing on kidney toxicology and regenerative medicine.

Tom F.A. de GreefView profile

Professor

• Synthetic Biology
• Molecular Computing
• Engineered Living Systems
• +4 more

Tom F.A. de Greef is a Full Professor at Eindhoven University of Technology's Biomedical Engineering department, leading pioneering research at the intersection of synthetic biology, molecular computing, and engineered living systems. He founded the Center of Living Technologies and serves as a Core Professor at the Institute for Complex Molecular Systems (ICMS). Key research areas: Biological Computing Devices, DNA-based Data Storage, Engineered Living Materials, Synthetic Cell Engineering, Digital Chemistry, and Protocell Communication. His work has resulted in over 100 publications in Nature , Nature Chemistry , and Nature Nanotechnology , supported by prestigious awards including ERC Consolidator, Starting, and PoC grants, as well as NWO's VICI, VIDI, and VENI grants. He received the Cram-Lehn-Pedersen Prize in 2017 and was named a Groundbreaking TU/e Researcher in 2022. Leadership roles: Founding member of Center of Living Technologies, Principal Investigator at TU/e, and Fellow of the Netherlands Academy of Engineering. He supervises a large research group with >15 PhD students and leads collaborations across international institutions, focusing on programmable molecular systems and sustainable technologies aligned with UN SDGs.

Ramiro SerraView profile

Associate Professor

• Electromagnetic Compatibility (EMC)
• Statistical Electromagnetics
• Wireless Coexistence and Interference Studies
• +3 more

Ramiro Serra is an Associate Professor at the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in the Netherlands. He is affiliated with the Electrical Energy Systems group and the High Tech Systems Center , focusing on Power Conversion and Electromagnetics . Research Interests include Electromagnetic Compatibility (EMC) , Statistical Electromagnetics , Wireless Coexistence , and Interference Studies . His expertise spans the design, modeling, and operation of Electromagnetic Mode-Stirred Reverberation Chambers , noise propagation in IC substrates, and EMC aspects in large infrastructures. Notable Contributions involve novel methods for EMI Reduction in mixed electrical class modules, VNA-Based TRP Measurements , and quantifying Loading Effects in reverberation chambers. His work impacts domains like Consumer Electronics , Automotive , and Medical Devices . Academic Leadership includes roles in international committees such as the International Steering Committee of EMC Europe , Chair of URSI Commission E , and Secretary of the General National URSI Committee . He also contributes to standardization efforts via IEC 61000-4-21 and CIRED/CIGRE joint working groups.

• Artificial Intelligence and Law
• Computational Argumentation
• Legal Reasoning
• +5 more

Professor Henry Prakken is a leading researcher in Artificial Intelligence and Law at Utrecht University's Department of Computer Science. He holds a prominent position in the Responsible AI research group and has been instrumental in advancing computational models of legal argumentation. With an extensive publication record spanning over three decades, Prakken has established himself as a central figure in the intersection of law and artificial intelligence. Prakken's research interests focus on computational models of argumentation, legal reasoning systems, and the application of AI to legal domains. His work bridges theoretical foundations with practical applications, particularly in case-based reasoning, Bayesian networks for legal evidence, and formal argumentation frameworks. He has made significant contributions to understanding how computational models can represent and analyze legal reasoning processes, with particular attention to precedent-based reasoning and argument strength. His publication record demonstrates consistent research productivity with numerous high-impact papers in venues like Artificial Intelligence, Artificial Intelligence and Law, and proceedings of major conferences including ICAIL and COMMA. Recent work has expanded into evaluating generative AI's legal reasoning capabilities and developing more sophisticated models of argument strength and acceptability. Past president of the International Association for AI & Law (IAAIL) Past president of the JURIX Foundation for Legal Knowledge-Based Systems Past president of the steering committee of the COMMA conferences on Computational Models of Argument Editorial board member of Artificial Intelligence and Law Associate editor of Artificial Intelligence (2017-2022) Prakken has played a significant role in mentoring and shaping the field through his leadership positions and editorial work. His research has influenced both theoretical developments in computational argumentation and practical applications in legal technology, contributing to the growing field of responsible AI in legal contexts.

Igo J.M. BesselinkView profile

Associate Professor

• Vehicle Dynamics
• Tire Behavior Modeling
• Battery Electric Vehicles
• +3 more

Igo J.M. Besselink is an Associate Professor and Chair of Vehicle Dynamics in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on vehicle dynamics analysis, tire behavior modeling, battery electric vehicles, and vehicle control systems. He leads the Automotive Technology lab, emphasizing experimental validation of simulation models to enhance transport safety and efficiency. Academically, he holds an MSc from Delft University of Technology (TU Delft, 1990) and a PhD from TU Delft (2000). He worked at Fokker Aircraft (landing gear dynamics) and TNO Automotive before joining TU/e in 2002 as a part-time lecturer, transitioning to full-time roles as Assistant Professor (2008) and Associate Professor (2016). Research interests include dynamics of commercial vehicles, autonomous operation in confined areas, and sustainable transportation. He has supervised 6 PhD and over 80 Master students, authored/co-authored over 50 publications, and serves on the Editorial Board of Vehicle System Dynamics . Recent work emphasizes neural network-based vehicle behavior estimation, cooperative platoon control, and criticality measures for automated vehicle testing. His lab develops test rigs and prototypes to bridge simulation and real-world performance.

• Statistics
• Applied Data Science
• Veterinary Epidemiology
• +2 more

Hans Vernooij is a Lecturer in Farm Animal Health at the Faculty of Veterinary Medicine, Utrecht University. He specializes in statistical methods and data science applications in veterinary epidemiology and animal health. His areas of expertise include: Statistical methods for veterinary research Applied Data Science in Life Sciences Epidemiological modeling Machine learning applications in animal health Vernooij has extensive experience in developing statistical models for animal health applications. His research focuses on applying advanced statistical techniques and data science methods to solve problems in veterinary epidemiology and farm animal health. He has particular expertise in Random Forest models, as demonstrated during his sabbatical at the Human Sciences Research Council in Pretoria where he developed a model for HIV status prediction based on demographic information and knowledge of HIV prevention from large-scale survey data. His publication record shows consistent contributions across veterinary epidemiology, with recent work emphasizing machine learning applications and big data analytics in animal health surveillance. The research demonstrates a clear trajectory from traditional statistical methods toward more advanced data science approaches. Vernooij is actively involved in teaching and mentoring: Teaches statistics to Bachelor students at the veterinary faculty Supports PhD candidates and Master students during data analysis phases of their research Provides statistics education for the Master of Epidemiology program at the Julius Centre of University Medical Centre

• International Macroeconomics
• New Economic Geography
• Economic History
• +6 more

Dr. Marc Schramm serves as an Assistant Professor in the Department of Economics within the Faculty of Law, Economics and Governance at Utrecht University. His academic work spans International Macroeconomics, New Economic Geography, and Economic History, with particular focus on German cities, strategic bombing impacts, and urban development patterns. Based at Adam Smith Hall (Kriekenpitplein 21-22, Room 1.01) in Utrecht, he maintains active research and teaching responsibilities. His research interests encompass International Macroeconomics, New Economic Geography, Economic History, Urban Economics, and German Economic Development. Schramm has made significant contributions to understanding city growth patterns, particularly examining how institutions and geography influence long-term urban development as seen in his work on Italian cities from 1300-1861. His recent research investigates the impact of real interest rates on green investment and the economic dimensions of China's Belt and Road Initiative. Schramm's publication record shows a progression from historical economic analysis (bombing effects on Germany, female employment patterns) to contemporary issues (green investment, Belt and Road economics). His work bridges theoretical economic geography with empirical applications, often focusing on European contexts while increasingly incorporating global perspectives. He maintains strong connections between academic research and practical economic policy. His editorial service for journals like Regional Studies and CESifo demonstrates his standing in the academic community. Schramm has also contributed significantly to economics education in the Netherlands, chairing committees that advise on high school economics curricula and examinations. In teaching, Schramm has been involved with Macroeconomics courses and has provided expert input on economics education standards for Dutch secondary schools. His work with the College voor Toetsen en Examens (CvTE) shows his commitment to connecting academic economics with practical educational frameworks.

• Evolutionary Computation
• Genetic Algorithms
• Optimization
• +5 more

Dirk Thierens is an Associate Professor in the Department of Computer Science at Utrecht University's Faculty of Science, specializing in Intelligent Systems within AI & Data Science. His academic career spans over 25 years, with continuous publications from 1996 through 2025, demonstrating sustained research activity and leadership in his field. He maintains an active research program with numerous collaborations, most notably with Peter A.N. Bosman, indicating a long-standing productive research partnership. Thierens' research focuses on evolutionary computation, particularly model-based evolutionary algorithms, genetic algorithms, and optimization techniques. His work has evolved from foundational genetic algorithm research in the late 1990s and early 2000s to more specialized model-based approaches in recent years, including significant contributions to Gene-pool Optimal Mixing Evolutionary Algorithms (GOMEA). His expertise spans single-objective and multi-objective optimization, permutation problems, mixed-integer problems, and real-valued optimization. In recent years, his research has expanded into applications in machine learning, particularly semi-supervised learning and neural network optimization. His publication record shows a consistent output of high-quality research, with numerous papers in top conferences like GECCO and journals in evolutionary computation. His most recent work (2023-2025) demonstrates continued innovation in synthetic data generation, neural network combination techniques, and parameterless evolutionary algorithms. The breadth of his work spans theoretical algorithm development, benchmarking methodologies, and practical applications in healthcare and other domains. While no specific scientific awards are mentioned in the available information, his extensive publication record, tutorial contributions at major conferences, and sustained research productivity over multiple decades indicate recognition within the evolutionary computation community. His tutorial work at GECCO conferences suggests he is considered an authority on model-based evolutionary algorithms. Thierens maintains an active research laboratory focused on evolutionary algorithms and their applications, with recent work exploring the intersection of evolutionary computation and deep learning. His research continues to advance both theoretical understanding and practical applications of optimization techniques in complex problem domains.

Silke HamannView profile

Researcher

• Phonology
• Phonetics
• Language Acquisition
• +8 more

Dr. Silke Hamann is a researcher at the University of Amsterdam, Faculty of Humanities, Department of Linguistics. Her work bridges phonology and phonetics, focusing on the emergence of phonological features, perceptual cues in segmental contrasts, and the interaction of phonology with orthography and language acquisition. Current projects: diachronic loanword adaptation, congenital amusia's impact on speech perception, Bantu languages (with Nancy Kula and Laura Downing), Catalan studies (with Francesc Torres-Tamarit) Research interests span synchronic/diachronic phonology, phonetic perception, computational modeling of phonological acquisition, and cross-linguistic analysis of retroflex consonants. Her publications analyze phenomena in Korean, Japanese, Bantu languages, German, Portuguese, and Slavic languages, with recurring themes of cue weighting, phonological constraints, and orthographic influence. Recent articles highlight her focus on creaky voice diagnostics, loanword phonotactics, congenital amusia, and Bantu intonation systems. Collaborations with Nancy Kula (Bantu) and Francesc Torres-Tamarit (Catalan) underscore her international research network.

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.

Sepideh GhodratView profile

Assistant Professor

• Shape Morphing Design
• Stimuli-Responsive Materials
• Smart Material Systems
• +4 more

Dr. Sepideh Ghodrat is an Assistant Professor of Shape Morphing Design at TU Delft's Faculty of Industrial Design Engineering. She bridges materials science and design, focusing on stimuli-responsive materials for dynamic, interactive products. Her research emphasizes 4D printing, smart materials, and sustainable applications. Research Projects include 4D Printing Magnetically Activated Shape Morphing Objects and SereniSleeve (wearables for anxiety modulation). Courses taught: Materials and Manufacturing (2023-2024). Research Interests : Shape Morphing Design (SMD) Stimuli-Responsive Materials (e.g., shape memory alloys, polymers) 4D Printing and Magnetic Soft Materials Applications in healthcare, automotive, and sustainability Key Contributions : Developed modular self-folding hinges (Mimosa Kit). Explored haptic wearables for visually impaired users. Advocates for adaptive, environment-responsive products. Labs/Teams : Involved in multiple interdisciplinary research teams at TU Delft, focusing on smart materials and sustainable design engineering.

Paul JenningsView profile

Professor

• In Vitro Toxicology
• Omic Approaches (Transcriptomics, Proteomics)
• Stress Response Pathways
• +6 more

Paul Jennings is a Full Professor and Chair of Molecular and Computational Toxicology at the Vrije Universiteit Amsterdam (VU), Netherlands. He holds dual appointments in the Faculty of Science (Chemistry and Pharmaceutical Sciences Department) and AIMMS. His research focuses on advancing in vitro toxicology models, particularly for renal and hepatic systems, integrating omics technologies and computational approaches to understand chemical toxicity mechanisms. Jennings has pioneered the use of induced pluripotent stem cells (iPSCs) for developing patient-specific models to study nephrotoxicity and stress response pathways such as Nrf2, p53, and HIF-1α. He has led major EU projects like EUToxRisk and OpenRiskNet, advancing animal-free testing strategies aligned with Adverse Outcome Pathways (AOPs). Education: BSc (Pharmacology, UCD Dublin), PhD (Nephrotoxicity Testing, UCD Dublin), Habilitation (Epithelial Physiology, Innsbruck Medical University). Research Interests: Development of human-relevant in vitro models, systems toxicology, mitochondrial toxicity, xenobiotic metabolism, and translational biomarkers. His work emphasizes integrating omics data (transcriptomics, proteomics) with cheminformatics and computational models to predict chemical hazards. Grants & Projects: Principal Investigator for RISKHUNT3R, CHIAZMA, VHP4SAFETY. Collaborates on EU initiatives like In3 (animal-free nanomaterial safety) and StemBANCC (stem cell-based drug toxicity). Awards: None explicitly listed, though his leadership roles (Editor-in-Chief of Toxicology in Vitro, Vice President of NVT) highlight his professional standing. Labs/Teams: Molecular and Computational Toxicology Division at VU, collaborating with international teams on projects like OpenRiskNet (e-infrastructure for risk assessment) and EUToxRisk (mechanism-based toxicity testing).

• Biomaterials
• Microbiology
• Biomaterial-associated infections
• +5 more

Hendrik Jan (Henk) Busscher is a Professor Emeritus in the Department of Biomedical Engineering at the University of Groningen, affiliated with the Faculty of Medical Sciences and the W.J. Kolff Institute. His research focuses on biomaterial-associated infections, microbial adhesion mechanisms, and surface modification strategies to prevent biofilm formation on medical implants. He has held leadership roles, including Head of the Department of Biomedical Engineering and Director-owner of consulting firm SASA BV, and serves as Editor of Colloids and Surfaces B: Biointerfaces . Research interests include physico-chemical interactions of biomaterials with biological components, antibiotic resistance, and nanotechnology applications in infection control. He has supervised over 79 PhD students and authored >636 publications, achieving an H-index of 58. Key contributions span biofilm dynamics, surface characterization techniques, and in vitro/in vivo infection models. His work emphasizes translational research, bridging academic and industrial partnerships in biomaterials innovation. Recent studies explore quantum dot synthesis for biomedical applications, pH-responsive drug delivery systems, and magnetic nanoparticle-based antibacterial strategies. Collaborations include global institutions and companies like Philips and Procter & Gamble. His interdisciplinary approach addresses sustainable healthcare challenges, particularly in preventing infections from medical devices.