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Denise EygendaalView profile

Professor

• Sports Medicine
• Orthopedic Surgery
• Musculoskeletal Disorders
• +7 more

Denise Eygendaal is a Full Professor at Erasmus MC in the Department of Orthopedics and Sports Medicine. She is a leading researcher in sports medicine, focusing on musculoskeletal conditions, tendon disorders, and clinical outcomes in athletes. Her work bridges orthopedic surgery, rehabilitation, and biomechanics, with a strong emphasis on evidence-based practice. Her research interests include patellar tendinopathy , elbow arthroplasty , patient-reported outcomes , and biomechanical assessment . She investigates the effectiveness of physical therapy, tendon loading exercises, and digital tools like ChatGPT in patient education. Her studies often employ longitudinal, cross-sectional, and causal mediation designs, contributing significantly to sports medicine literature. The recent articles show a consistent trend in athlete-centered research, integrating clinical assessment with technology and patient feedback. Her work spans biomechanics , rehabilitation science , AI in healthcare , and normative data development , reflecting a multidisciplinary approach. Although no specific scientific awards are listed in the provided text, her high publication output and international collaborations suggest recognition in the field. She supervises research, as indicated by 'Supervised Work (8)', and collaborates with institutions globally, contributing to impactful research in orthopedics and sports medicine. Dr. Eygendaal is actively involved in advancing clinical tools and digital health applications, with ongoing research into mobile assessments and AI-driven patient education. She leads studies on calf muscle endurance, forearm rotation modeling, and long-term prognosis in athletes, indicating a sustained commitment to improving musculoskeletal care.

Soheil SolhjooView profile

Assistant Professor

• Materials Science
• Multidisciplinary Engineering
• Mechanical Metallurgy
• +5 more

Dr. Soheil Solhjoo is an Assistant Professor at the University of Groningen (UG) within the Engineering Systems and Design (ESD) group, part of the Engineering and Technology Institute Groningen (ENTEG) at the Faculty of Science and Engineering. His research focuses on model-based engineering design, physics-based deep learning, and digital twins, with expertise in constitutive modeling, molecular dynamics simulations, contact mechanics, and physics-informed neural networks. Prior to UG, he conducted postdoctoral research in European projects like VMAP and UPSIM, contributing to multiscale material modeling and hyperelastic material development for soft biological tissues. He holds a PhD from the University of Groningen (2017), where his thesis addressed nanotribological studies, including contact area measurement in atomistic simulations and continuum mechanics applications in nanocontacts. Academic Role: Assistant Professor (since 2024) Institution: University of Groningen Department: Engineering Systems and Design (ESD) Research Interests Dr. Solhjoo's research spans materials science and mechanical engineering, emphasizing: Constitutive modeling of metallic materials Molecular dynamics and statics simulations Contact mechanics at atomic and macro scales Integration of physics-based principles into neural networks Multiscale material characterization Publications Trends His articles predominantly address material deformation mechanisms, constitutive model validation, and nanoscale contact analysis. Key themes include hot deformation behavior of metals, computational methods for material characterization (e.g., HDFT tool), and bridging atomistic simulations with continuum mechanics. Awards & Grants No specific awards listed, but contributions to collaborative EU projects (VMAP, UPSIM) highlight his grant-funded research activities. Actively involved in educational grants for mechanical and industrial engineering curriculum innovation. Labs & Teams Part of the ESD group and ENTEG, collaborating with academic and industrial partners in EU frameworks. Maintains a research portal with open-access tools like the Hot Deformation Fitting Tool (HDFT).

Mehdi DastaniView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Formal Methods in AI
• +5 more

Prof. Mehdi Dastani is a Professor and chair of the Intelligent Systems group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. He leads the Master's program in Artificial Intelligence and focuses on formal and computational models in AI, particularly multi-agent systems. His research integrates insights from philosophy, psychology, and law to develop autonomous agents that reason about social and cognitive concepts like norms, emotions, and responsibility. Dastani has held academic roles at Utrecht University since 2001, including postdoctoral research and faculty positions. Education: M.Sc. Computer Science (University of Amsterdam, 1991), M.Sc. Philosophy (University of Amsterdam, 1992), Ph.D. in Humanities (University of Amsterdam, 1998). His work spans theoretical and applied projects, including grants for initiatives like Golden Agents (simulating Golden Age creative industries) and traffic control systems using virtual organizations. He is actively involved in academic committees, editorial boards, and organizing international conferences like AAMAS and PRIMA. Research Interests: Multi-Agent Programming, Normative Systems, Autonomous Agents, Cognitive Robotics, and Human-Centered AI. His projects address challenges like norm enforcement, decision-making in complex systems, and ethical AI integration with societal needs. Advising & Grants: Supervised numerous PhD students (e.g., Birna van Riemsdijk, Bas Testerink) and secured grants for projects such as 'Controllable AI: Human-Centered Approach'. His work includes collaborations on urban governance, autonomous driving, and AI tools for literacy support in children. Labs & Teams: Leads the Intelligent Systems group, contributing to agent-based simulations, ethical AI frameworks, and interdisciplinary collaborations with social scientists and urban planners.

• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• +5 more

Gwenn Englebienne is an Assistant Professor at the Digital Society Institute and Human Media Interaction group of Utrecht University. Their research focuses on Artificial Intelligence, Computer Vision, and Human-AI Interaction, with applications in robotics, health, and social computing. They have contributed to over 80 research outputs since 2007, emphasizing embodied AI, social robotics, and explainable machine learning. Research interests span activity recognition, teleoperation systems, and ethical AI design. Notable work includes developing GNN-based group detection algorithms and evaluating chatbot reliability through automated question-answering frameworks. Their studies often bridge technical innovation with human-centered design, such as measuring embodiment via pupil dilation or addressing asymmetry in video-conferencing interactions. Key collaborations include work on social robotics, telepresence systems, and health monitoring using ambient sensors. Publications span conferences like IDA, CogMI, and LREC-COLING, reflecting interdisciplinary impact. A dataset on robot social positioning behavior is publicly accessible via 4TU.Centre for Research Data. Current work explores semi-supervised domain adaptation, spiking neural networks, and the psychological dimensions of AI trustworthiness. They lead initiatives in the Digital Society Institute to align technological advancements with societal needs.

• Model Predictive Control
• Distributed Control Systems
• Renewable Energy Systems
• +4 more

Paula Chanfreut Palacio is an Assistant Professor in the Control Systems Technology section of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). She joined TU/e in February 2023 after previously contributing to the ERC Advanced Grant project OCONTSOLAR (Optimal Control of Thermal Solar Energy Systems). Education: B.Sc. and M.Sc. in Industrial Engineering (University of Seville, 2017/2019) Ph.D. in Automation Engineering (University of Seville, 2018–2022) Visiting scholar at UC Berkeley (2021) and MIT (2022) Research Interests: Her work centers on decentralized and data-driven model predictive control (MPC) for large-scale interconnected systems. Key applications include renewable energy plants, traffic networks, and smart grids, with emphasis on scalability, cooperative multi-agent frameworks, and real-time optimization. She also investigates cyber-security in control systems and learning-based supervisory methods. Publications: Recent articles (2025) focus on advanced MPC techniques for safety-critical systems like vehicle platooning and power grids, highlighting themes such as cyber-attack resilience, nonlinear cooperative control, and invariant set design. Cross-cutting topics include distributed optimization, robustness, and machine learning integration. Projects: Active member of the Model Predictive Pandemic Control project (2023–2025), funded by an ERC Advanced Grant, focusing on control strategies for large-scale health crises. Affiliation: Part of the Cyber-Physical Systems and Systems Engineering research group at TU/e, contributing to interdisciplinary work in control theory and real-world engineering solutions.

• Sustainability
• Renewable Energy
• Innovation Systems
• +7 more

Dr. Simona Negro is an Associate Professor at the Copernicus Institute of Sustainable Development within Utrecht University's Faculty of Geosciences , specializing in Innovation Systems . Her work bridges technological, social, and policy dimensions of sustainability transitions. Key domains: Energy, Protein, and Circular Economy transitions Multidisciplinary approach: Systems Theory, Innovation Policy, and Behavioral Dynamics Recent research focuses on systemic barriers to circularity in Dutch sectors and animal-free chemical safety assessment via the VHP4Safety project . She co-organizes major events like the International Sustainability Transitions Conference and chairs EU-SPRI meetings. Notable awards: 2008 Best paper TFSC award 2011 & 2014 Emerald Citations of Excellence

• Stem cell biology
• Tissue engineering
• Bioprinting
• +3 more

Dr. Kerstin Schneeberger-Verjaal is an Assistant Professor at the Department of Clinical Sciences, Internal Medicine of Companion Animals, Faculty of Veterinary Medicine, Utrecht University. She also serves as a Scientific Advisor at Orgonex B.V. Her research focuses on stem cell biology and tissue engineering, particularly developing mini-livers from patient-derived stem cells to address organ shortages for transplantation. VenI grant recipient (2018) for liver research Co-developer of synthetic growth gel for large-scale liver cell culture Principal investigator in €1.4 million Horizon 2020 bioprinting project Her recent publications highlight advancements in bioprinting technology , hydrogel development , and organoid scalability . Key research collaborations include Dr. Bart Spee and European experts in the ORGANTRANS consortium. Scientific awards: 2018 NWO Veni grant 2018 WFIRM Young Investigator Award 2017 Aegean award (Tissue Engineering Conference) 2017 Best selected presentation at HEPRO symposium 2014 EMBO workshop attendance grant 2013 Best oral presentation (Dutch Stem Cell Meeting) In her ancillary role at Orgonex B.V., she contributes to commercial applications of organoid technology. Her work has generated multiple patents and translational grants for clinical implementation of synthetic growth gels.

• Educational Technology
• Peer Learning
• Online Learning Environments
• +3 more

Natasha Dmoshinskaia is an Assistant Professor specializing in educational technology and learning processes. Her research focuses on peer feedback mechanisms, inquiry-based learning, and the impact of digital environments on education. She contributes to UN Sustainable Development Goals related to Quality Education (SDG 4) and Partnerships for the Goals (SDG 17). Her work explores trends in teacher development, digital learning policies, and collaborative learning systems. Recent studies include analyzing feedback effectiveness in online platforms, gamified learning environments, and the role of concept maps in knowledge acquisition. Key research themes include educational policy analysis, student engagement strategies, and the design of future-proof learning systems. Her publications span peer-reviewed journals and conference proceedings, emphasizing practical applications in K-12 and university settings. Notable contributions include a 2025 review on holistic student development through digital learning and a 2023 analysis of peer feedback in online inquiry environments. Her h-index is 42, reflecting significant scholarly impact.

Elmine MeyerView profile

Assistant Professor

• Antenna Design
• Millimeter Wave Technology
• RF Engineering
• +3 more

Elmine Meyer is an Assistant Professor in the Electrical Engineering department at Eindhoven University of Technology. Her research focuses on antenna design, millimeter wave technology, and RF engineering. She leads the EM Antenna Systems Lab and EM for Radio Science Lab, contributing to advancements in 5G/6G communication systems and space-based radio astronomy. She holds a PhD in Electrical Engineering from the University of Stellenbosch (2018) and a Bachelor of Engineering from Fairleigh Dickinson University (2013). Meyer's projects include leadership roles in the ANTERRA (6G Non-Terrestrial Networks), INNOSTAR (EM), and MyWave initiatives. She has organized events like the 28th European Microwave Week 2025 and contributed to high-impact research on antenna arrays, 3D-printed RF devices, and pedestal resonators. Her work bridges academic research with industrial applications, emphasizing practical implementations in wireless communication systems. Her research interests span antenna array design, millimeter wave systems, and electromagnetic compatibility. Over 38 citations highlight her contributions to fields like substrate integrated waveguide (SIW) technology and adaptive beamforming. Collaboration networks include institutions globally, particularly in antenna measurement systems and space-based communication technologies.

• Formal Methods
• Software Engineering
• Model-Based Testing
• +3 more

Petra van den Bos is an Assistant Professor at the University of Twente, affiliated with both the Digital Society Institute and the Formal Methods and Tools department. Her research focuses on advancing software engineering through formal methods, model-based testing, and automated testing techniques. She has contributed to integrating Behavior-Driven Development (BDD) with model-based approaches, as well as developing tools like VeyMont for choreography-based concurrent programming. Her work emphasizes practical applications in video game development, web testing, and user story-driven methodologies. Notably, she received the FORTE 2023 Best artefact award for outstanding contributions to formal techniques. Petra collaborates on datasets archived on Zenodo, showcasing reproducible research in testing frameworks and formal verification. Research Interests: Formal Methods, Model-Based Testing, Automated Testing, Concurrent Programming, and Software Verification. Awards: FORTE 2023 Best artefact (2022). Advising & Grants: No formal advisees listed; contributions focus on collaborative research projects and open-source tool development. Labs/Teams: Active in the Formal Methods and Tools research group, advancing software reliability through interdisciplinary approaches.

Carlo Ferri MariniView profile

Assistant Professor

• Aerobic Exercise Testing
• Resistance Exercise Prescription
• Exercise Physiology
• +3 more

Dr. Carlo Ferri Marini is an Assistant Professor at the Department of Human Movement Sciences, University of Groningen and University Medical Center Groningen. He holds a PhD cum laude from the University of Urbino, with additional studies at Colorado Mesa University and University College Dublin. His research focuses on optimizing exercise testing and prescription in healthy and clinical populations, particularly in aerobic and resistance exercise physiology. He collaborates internationally and serves as an Academic Editor for BMC Sports Science, Medicine and Rehabilitation and PeerJ . Key areas of research include exercise intensity methods, lifestyle interventions for breast cancer survivors, and cardiometabolic health. Notable projects include the MOVIS clinical trial on exercise and nutrition programs for cancer survivors and the TRIPL-A trial for type 2 diabetes management. His work emphasizes improving the benefit-to-risk ratio of physical activity through evidence-based approaches. Dr. Marini’s recent publications explore topics such as pedaling cadence effects on metabolic responses, gut microbiota changes in breast cancer survivors, and the validity of exercise intensity metrics. He also investigates the role of exercise in mitigating tumorigenic activity and enhancing quality of life in clinical populations. Collaborations span institutions globally, reflecting his commitment to interdisciplinary research. His research has been featured in journals like Scientific Reports , European Journal of Sport Science , and Frontiers in Oncology . Dr. Marini is affiliated with the SMART Movements research group, advancing knowledge in movement sciences and health. His work bridges clinical and applied research, aiming to translate findings into practical guidelines for improving public health outcomes.

Yanja DajsurenView profile

Assistant Professor

• Software Architecture
• Model-Driven Development
• Component-Based Software Engineering
• +6 more

Yanja Dajsuren is an Assistant Professor and Program Director of the PDEng Software Technology program at Eindhoven University of Technology's Department of Mathematics and Computer Science. Her work bridges academic research and industry applications in software engineering and mobility systems. Education: PhD in Computer Science (2015), TU/e PDEng in Software Technology (2005), TU/e MBA (2002), Maastricht School of Management Research Focus: Yanja specializes in software architecture for autonomous and cooperative driving systems, with a focus on model-driven development, functional safety, and system modularity. Her work contributes to Cooperative Intelligent Transport Systems (C-ITS) and aligns with UN Sustainable Development Goals related to smart cities and innovation. Projects: Current projects include i-CAVE (Project #6) and Horizon 2020 C-MobILE, addressing challenges in automotive software integration and cooperative driving systems. Past projects at Philips Research, NXP Semiconductors, and CWI demonstrate her long-term expertise in industrial software development. Academic Contributions: She co-founded the International Workshop on Automotive Software Architectures (WASA) and launched the Journal of Automotive Software Engineering (JASE). Her collaborations span academia and industry, including partnerships with ASML, Philips Hue, and international research teams.

• Pharmacokinetics
• Haemophilia
• Platelet Research
• +3 more

Tine Goedhart is a Researcher in the Department of Pediatrics at Erasmus University Medical Center Rotterdam, specializing in pharmacokinetics, haemophilia, and platelet research. Her work is closely associated with the SYMPHONY consortium, the Thrombocytopathy in the Netherlands (TiN) Study Group, and the OPTI-CLOT study group, focusing on thrombosis and haemostasis. Her research spans Pharmacokinetics , Haemophilia A/B , Blood Clotting Factor 8 , and Platelet Biochemistry . Key areas include optimizing factor concentrate dosing in haemophilia, developing rapid diagnostic tests for platelet disorders, and investigating endothelial cell heterogeneity in vascular diseases. Her work integrates pharmacological modeling with clinical applications to improve treatment strategies for bleeding disorders through: Pharmacokinetic-guided prophylaxis dosing Nanobody-based platelet agonist development Transcriptional profiling of endothelial colony-forming cells Population modeling for pediatric hemophilia B Analysis of her 14 research outputs reveals dominant trends in thrombosis diagnostics , factor replacement therapy optimization , and pediatric pharmacokinetics , with strong emphasis on translational applications for hemophilia management and platelet function disorders. Dr. Goedhart collaborates extensively with international consortia including SYMPHONY, TiN, and OPTI-CLOT, contributing to multi-center studies on haemophilia management and platelet function. While specific grant details are not provided, her research is embedded within these large-scale collaborative projects focused on advancing bleeding disorder treatments. She actively participates in the SYMPHONY consortium and TiN study group, which drive innovation in thrombotic/bleeding disorder research through integrated pharmacokinetic and functional analyses across European institutions.

Wan FokkinkView profile

Professor

• Distributed Systems
• Formal Analysis of Protocols
• Concurrency Theory
• +3 more

Prof. Wan Fokkink is a Full Professor in Theoretical Computer Science at Vrije Universiteit Amsterdam (VU) and holds a part-time position as Professor of Model-Based System Engineering at Eindhoven University of Technology (TU/e). His research focuses on distributed systems, formal analysis of protocols, and supervisory control synthesis. He leads the Theoretical Computer Science group at VU and has authored three influential textbooks: Introduction to Process Algebra , Modelling Distributed Systems , and Distributed Algorithms: An Intuitive Approach . Education: MSc in Mathematics (University of Amsterdam, 1990) and PhD in Computer Science (University of Amsterdam, 1994). Postdoctoral work at Utrecht University and lectureship at Swansea University preceded his leadership roles at CWI (2001–2004) and VU (since 2004). Teaching includes courses on logic, concurrency, and distributed algorithms. He is editor of Logical Methods in Computer Science and co-founder of the Electronic Proceedings in Theoretical Computer Science . Active in professional organizations: co-founder of IFIP WG 1.8 (Concurrency Theory) and steering committee member of the CONCUR conference. Research interests span formal verification, concurrency theory, and practical applications of supervisory control in engineering systems (e.g., traffic management, ship locks). His work aligns with sustainable development goals through contributions to reliable system design and optimization. Recent articles explore model-based specification, distributed control under communication delays, and tools like Eclipse ESCET for supervisory control synthesis. Collaborations span international teams in Europe and beyond.

• Human-Computer Interaction
• Social Robotics
• Conversational Agents
• +3 more

Jan de Wit is an Assistant Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (Department of Communication and Cognition). His research focuses on human-robot interaction, conversational agents, and the ethical evaluation of AI systems. He is affiliated with the Academic Collaborative Center for Digital Health & Mental Wellbeing. Key research interests include social robotics, NLP evaluation methodologies, and the psychological impacts of digital interactions. Recent work explores mood contagion in human-robot collaboration and the use of LLMs for simulated user testing. He has organized workshops like EduCUI 2024 and contributed to projects such as the scoping review on intersectionality in technology design. Notably, he received a Best Paper Award in 2019 and has collaborated with institutions on interdisciplinary research.