جست‌وجوی استاد و پژوهشگر

Emilia Barakovaمشاهده پروفایل

دانشیار

• Social Robotics
• Cognitive Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Emilia Barakova is an Associate Professor at the Industrial Design Department of Eindhoven University of Technology. She leads the Social Robotics Lab and Transdisciplinary Research & Design cluster, focusing on robotics for autism intervention and cognitive assistance. PhD in Mathematics & Natural Sciences (University of Groningen, 1999) MSc in Electronics & Automation Engineering (Technical University of Sofia, Bulgaria) Her research merges robotics, cognitive science, and AI to develop embodied agents for social skills training in autistic children and well-being enhancement for people with disabilities. She co-developed the TiViPE programming environment for customizable robot therapy scenarios. Key publication trends show emphasis on: Human-robot interaction for autism therapy Emotion recognition via movement analysis Visual programming frameworks for robot customization Multi-agent systems in social training She serves as Associate Editor for journals including International Journal of Social Robotics and Transactions of Human-Machine Systems , and has held academic positions at RIKEN Brain Science Institute and German-Japanese Robotics Research Lab.

Rineke Verbruggeمشاهده پروفایل

استاد

• Artificial Intelligence
• Logic and Cognition
• Multi-agent systems
• +۴ مورد دیگر

Prof. Rineke Verbrugge is a Professor in Artificial Intelligence at the University of Groningen's Faculty of Science and Engineering, affiliated with the Bernoulli Institute. Her research focuses on computational theory of mind, multi-agent systems, hybrid intelligence, and logical frameworks applied to social networks and legal reasoning. She holds additional roles on the Institute Advisory Board of CWI (Dutch National Research Institute for Mathematics and Computer Science) and several ERC/NWO selection committees. Her work bridges cognitive science and AI, emphasizing human-agent collaboration, belief formation in groups, and ethical AI design. Recent projects include developing computational models for theory of mind in negotiations and scenario-based Bayesian networks for legal evidence analysis. She has authored over 220 publications and supervised multiple PhD candidates in AI and logic. Key research themes include higher-order theory of mind applications, zero-one laws in provability logic, and agent-based policy evaluation for sustainable technologies. Her contributions span conferences like AAMAS, ICAIL, and HHAI, addressing topics from lie detection mechanisms to privacy conflicts in multi-user systems.

Arianna Bisazzaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Multilingualism
• Low-resource Language Modeling
• +۷ مورد دیگر

Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.

• Circular Economy
• Sustainable Supply Chain Management
• Industrial Symbiosis Networks
• +۴ مورد دیگر

Devrim Murat Yazan is an Associate Professor at the University of Twente, affiliated with the Department of Industrial Engineering & Business Information Systems and the Digital Society Institute. He holds a PhD from the Interpolytechnic School of Doctorate (Politecnico di Bari, Politecnico di Milano, and Politecnico di Torino, 2011, Italy). His research focuses on sustainable supply chain management, circular economic business models, industrial symbiosis networks, and decision-making frameworks for transitioning to a circular economy. Methodologies include input-output modeling, game theory, and agent-based simulation. He leads the 'Sustainable Circular Economy' research group, supported by a Horizon 2020 grant (€725k contribution from UT). The group explores decision-making in industrial symbiosis, efficient network operations, and cost/benefit-sharing mechanisms. Recent work includes developing matchmaking platforms for circular construction ecosystems and analyzing greenwashing impacts on brand perception. Awards include the CIOB Award (2024). His teaching includes courses like 'Sustainable Business Development' and 'Sustainable Supply Chains for Consumer Products'. His work contributes to UN Sustainable Development Goals related to responsible consumption and production (SDG 12) and climate action (SDG 13). Grants and collaborations involve EU Horizon 2020 and diverse institutions. Research outputs span 62 peer-reviewed articles, with a focus on circular economy implementation, industrial symbiosis dynamics, and decision-support tools.

• Educational Technology
• Programming Tutoring Systems
• Game-Based Learning
• +۱ مورد دیگر

Johan Jeuring is Professor of Software Technology for Learning and Teaching at Utrecht University's Department of Information and Computing Sciences. His research focuses on intelligent tutoring systems, computational thinking education, and game-based learning environments. Research Interests: Prof. Jeuring's work explores computational thinking pedagogy, automated feedback systems, and educational game design. His research bridges artificial intelligence with educational psychology to develop effective learning tools. Publications: Recent publications focus on augmented reality learning environments, programming education methodologies, automated assessment systems, and AI applications in education. His work combines empirical studies of learning behaviors with technological innovations in educational tools.

• Self-regulated Learning
• Learning Analytics
• Online Education
• +۴ مورد دیگر

Dr. Jacqueline Wong is an Assistant Professor in the Department of Education and Pedagogy at the Faculty of Social and Behavioural Sciences, Utrecht University. Her academic work focuses on enhancing educational practices through evidence-based research in self-regulated learning and learning analytics, with particular applications in higher education contexts. Dr. Wong earned her Ph.D. (cum laude) from Erasmus University Rotterdam with a thesis entitled "Enhancing Self-Regulated Learning Through Instructional Supports and Learning Analytics in Online Higher Education," which received the Best Thesis Award 2021 from the Erasmus Graduate School of Social Sciences and the Humanities. She completed her Master's degree (cum laude) in Educational Psychology, where she examined the use of movements to support text comprehension. Prior to joining Utrecht University, she was a postdoctoral researcher at Delft University of Technology (2020-2022) working with the Program of Innovation in Mathematics Education (PRIME). Dr. Wong's research program spans several interconnected areas: the application of learning analytics to support self-regulated learning, the design of instructional interventions that promote metacognitive awareness, and the investigation of how emerging technologies like generative AI can enhance educational experiences. Her work frequently examines how technology can be leveraged to support students' metacognitive processes and goal-setting behaviors in both traditional and online educational settings. She has made significant contributions to understanding how conversational agents and learning analytics can provide personalized support for students' self-regulated learning processes. Analysis of her recent publications reveals a clear trajectory toward integrating emerging technologies with established educational theories. Her 2024-2025 work increasingly focuses on the intersection of artificial intelligence and educational psychology, particularly examining how generative AI tools can enhance academic text accessibility and provide adaptive support for learning. She also continues to investigate cognitive aspects of learning in educational games and augmented reality environments, with implications for both educational practice and learning theory development. Among her notable achievements, Dr. Wong received the Best Thesis Award 2021 from the Erasmus Graduate School of Social Sciences and the Humanities. This recognition highlights the significant contribution her doctoral work has made to the field of educational psychology and learning sciences. Her systematic reviews, including examinations of student engagement in mathematics education and gamification in MOOCs, have provided valuable syntheses of research in growing areas of educational technology. Dr. Wong has been an active research member of the Leiden-Delft-Erasmus Centre for Learning and Education (LDE-CEL) and the network for Self-Regulated Learning in Digitalised Schools (SeReLeDiS). Her collaborative approach to research is evident in her extensive co-authorship network across multiple institutions. Before joining Utrecht University, she worked with lecturers to promote student motivation and self-regulated learning in blended service mathematics courses and examined the effectiveness of technology tools for learning mathematics. Dr. Wong's work bridges theoretical frameworks with practical implementations, often involving close partnerships with educators to ensure research relevance to real-world classroom challenges. Her current research appears to be moving toward deeper integration of AI technologies with educational theory, particularly examining how generative AI can support metacognitive processes and self-regulated learning across diverse educational contexts.

• Formal Methods
• Software Engineering
• Model-Based Testing
• +۳ مورد دیگر

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.

Raoul Bongersمشاهده پروفایل

استادیار

• Motor Control
• Motor Learning
• Prosthetics
• +۶ مورد دیگر

Dr. Raoul Bongers is an Assistant Professor at the Faculty of Medical Sciences, University of Groningen, affiliated with the SMART Movements research group. His expertise focuses on action-perception learning, motor control, and rehabilitation technologies, particularly in upper limb prosthetics and serious game applications for prosthesis training. He investigates motor variability and coordination dynamics using advanced methodologies like Uncontrolled Manifold analysis and multifractal analyses. His research emphasizes the development of clinical tools such as IMU-based calibration algorithms and virtual reality environments to improve prosthetic control and rehabilitation outcomes. Collaborations span biomechanics, neuroscience, and medical engineering, addressing challenges in prosthetic design, user adaptation, and clinical assessment. Bongers has contributed to over 139 publications, with recent work exploring task-specific serious game training, IMU sensor calibration reliability, and motor learning dynamics in novel control tasks. His work aligns with UN Sustainable Development Goals related to health and innovation. Professional activities include keynote lectures on motor control and participation in interdisciplinary research networks. Laboratory affiliations include SMART Movements, where research integrates ecological psychology and dynamical systems theory to advance rehabilitation technologies and motor learning understanding.

Artem Kaznatcheevمشاهده پروفایل

استادیار

• Evolutionary Biology
• Theoretical Computer Science
• Computational Complexity
• +۵ مورد دیگر

Artem Kaznatcheev is an Assistant Professor at Utrecht University in the Department of Mathematics and Department of Information and Computing Sciences within the Science faculty. His research bridges theoretical computer science and evolutionary biology to analyze biological and social systems through an algorithmic lens. Current role since January 2023 Recruiting PhD students and postdocs Previously: James S. McDonnell postdoctoral fellow at University of Pennsylvania His work focuses on: Computational complexity of evolution Evolutionary game theory Algorithmic biology Mathematical modeling of cancer dynamics Cultural evolution of science Selected article trends show: Interdisciplinary integration of computer science and cancer biology Key themes: fitness landscapes, evolutionary games, treatment optimization 2021-2020 publications dominate Mathematical formalisms applied to biological and social phenomena Scientific contributions include: James S. McDonnell Foundation Independent Postdoctoral Fellowship 2019 Genetics paper on computational complexity as evolutionary constraint 2017 Nature Ecology & Evolution study on fibroblast-drug interactions in cancer Collaborative environments: Worked with Theory, Evolution and Games Group Previous affiliations: Oxford University, University of Pennsylvania, Moffitt Cancer Center, McGill University Developed teaching roles at Oriel College (Oxford)

Lambert Schomakerمشاهده پروفایل

استاد

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +۶ مورد دیگر

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

• Digital Health Tools
• Personal Health Data Economics
• Workflow Models
• +۳ مورد دیگر

Pieter Van Gorp is an Associate Professor at the School of Industrial Engineering at Eindhoven University of Technology (TU/e). He holds a part-time appointment at Utrecht University of Applied Sciences, focusing on societal applications of connected health games. His work spans digital health tools, personal health data economics, and cloud infrastructure for reproducible research. Education Background: Obtained PhD in Software Engineering from University of Antwerp, followed by a postdoc there. He has served as program manager for TU/e's Data Science Center (DSC/e) and Eindhoven AI Systems Institute (EAISI), linking research to societal challenges. Since 2023, he is Scientific Director of the Clinical Informatics EngD program. Research Interests: Focuses on personal health records as economic assets (e.g., MyPHRMachines platform), workflow model transformations (UML/BPMN/Petri-Net), and tools like SHARE/SciModeler for reproducible research. Active in gamification for corporate health and healthcare decision support systems. Awards: Awarded Best Paper (2007, 2012), 2nd Executable Paper Prize (2011). Current activities include teaching Health Information Systems and supervising 9 active PhD students. Advising & Grants: Mentor to 9 current PhD students and 5 alumni. Facilitates industry-academia collaboration through TU/e's innovation initiatives. Labs/Teams: Leads the Information Systems Lab at TU/e and co-leads EAISI Health. Involved in multidisciplinary teams addressing health tech and data science challenges.

Nejc Geržiničمشاهده پروفایل

پژوهشگر

• Travel behaviour
• Public transport
• Micromobility
• +۷ مورد دیگر

Nejc Geržinič is a PostDoc researcher at Delft University of Technology in the Transport, Mobility and Logistics department within the Civil Engineering & Geosciences school. His research focuses on travel behavior, particularly examining the integration of new mobility services with traditional public transport systems and investigating sustainable mobility solutions through innovative approaches like tradeable mobility credits. Dr. Geržinič completed his PhD at TU Delft between 2019 and 2023, with research focusing on the impact of on-demand mobility and its interaction with public transport, as well as long-distance international travel behaviour. His doctoral work contributed significantly to the CriticalMaaS project, which developed comprehensive frameworks for Mobility as a Service systems. Geržinič's research spans several critical areas in contemporary transportation studies. His work primarily investigates travel behaviour with a focus on how new mobility options like on-demand services and micromobility integrate with traditional public transport systems. He employs advanced choice modelling techniques to understand passenger decisions, particularly regarding access/egress trips in train travel chains and the potential of tradeable mobility credits systems. His research contributes significantly to the fields of sustainable transport and modal shift , aiming to develop more efficient and environmentally friendly urban mobility solutions. His expertise aligns with UN Sustainable Development Goals related to sustainable cities and communities. Analysis of Geržinič's publication record reveals a strong progression from foundational work on on-demand mobility services toward more sophisticated modeling of travel behavior and innovative mobility concepts. His recent 2025 publications indicate an expanding research agenda that now includes examining barriers to micromobility adoption through latent class analysis and exploring the potential of microtransit for regional commuting patterns. His work consistently examines how new mobility services can serve as effective first/last mile connectors for train stations, potentially increasing overall public transport usage while reducing private vehicle dependency. Dr. Geržinič has been actively engaged in disseminating his research through multiple media channels, with documented media contributions each year from 2019 to 2023. His presentations at workshops and conferences have addressed critical topics including the role of on-demand services in urban mobility mixes and the market potential of pooled mobility services. As part of the CriticalMaaS project (2019-2023), Geržinič collaborated with a multidisciplinary team including O. Cats, N. van Oort, and S.P. Hoogendoorn. His current postdoctoral research continues to explore innovative mobility concepts, particularly focusing on access/egress trips in train travel chains and travel behaviour in systems with tradeable mobility credits. His research outputs include 16 publications, 7 datasets, and numerous academic activities, demonstrating consistent productivity and contribution to the transportation research community.

Nikolaos Paterakisمشاهده پروفایل

استادیار

• Power System Optimization
• Electricity Markets
• Renewable Energy Integration
• +۵ مورد دیگر

Nikolaos Paterakis is an Assistant Professor of Power System Optimization and Electricity Markets with the Electrical Energy Systems research group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He is the founder and principal investigator of the Electricity Markets & Power System Optimization Laboratory (EMPSOLab) established in 2019, and a member of the Cyber-Physical Systems Center Eindhoven (CPSe). His research focuses on applying optimization and machine learning techniques to power system and electricity market problems, particularly regarding renewable energy integration and smart grid technologies. Dr. Paterakis received his Dipl.Eng. from Aristotle University of Thessaloniki in 2013, followed by a PhD in Industrial Engineering and Management (cum laude) from the University of Beira Interior in 2015. After serving as a post-doctoral fellow at TU/e from 2015-2017 and working as a consultant for the Energy Market Regulatory Authority of Turkey, he was appointed Assistant Professor at TU/e in April 2017. His research spans power system optimization, electricity market design, renewable energy integration, and the application of machine learning techniques to grid management problems. Recent work emphasizes distributed energy resource integration, local electricity markets, congestion management in low-voltage grids, and real-time grid control using advanced optimization techniques. His publications demonstrate a clear trajectory toward increasingly sophisticated methods for managing grid constraints while enabling market participation of distributed energy resources. Dr. Paterakis has received several prestigious awards including IEEE SEGE'15, SEST 2019, and SEST 2020 Best Paper Awards, and recognition as a Best Reviewer for IEEE Transactions on Smart Grid (2015, 2017) and IEEE Transactions on Sustainable Energy (2016). He serves as Associate Editor for multiple journals including IET Renewable Power Generation, IEEE Systems Journal, IEEE Transactions on Intelligent Transportation Systems, and Elsevier's e-Prime. He leads multiple research projects including MEGAMIND (NWO-funded), P2P-TALES (NWO-funded), and the Electricity Markets Game series (TU/e BOOST!-program). His educational contributions include teaching courses on power system analysis and optimization, electricity markets modeling, and developing innovative educational tools for power systems education. In 2021, he was elevated to Senior Member of the IEEE Power & Energy Society.

Joseph Wachelderمشاهده پروفایل

دانشیار

• History of Science
• Cultural Studies
• Education History
• +۳ مورد دیگر

Dr. Joseph Wachelder is an Associate Professor in the Department of History at Maastricht University, Netherlands. He holds academic positions in the MACCH - Faculty of Arts and Social Sciences and is affiliated with the Maastricht University Science, Technology and Society Studies and the Netherlands Graduate Research School of Science, Technology and Modern Culture (WTMC). His career includes roles such as Chair of the FASoS Board of Examiners (2018–2024), Associate Dean of Education (2012–2015), and Programme Director for the BA Arts & Culture (2000–2002). He has served on numerous external boards and advisory councils, including the Limburgs Museum Venlo and Maastricht Science Shop. Wachelder’s research focuses on the intersections of science, culture, and education, particularly through the lens of material artifacts, toys, and visual phenomena. His work examines how science interacts with popular culture, design, and education. Notable contributions include studies on the history of Dutch universities, science shops, and the cultural history of visual phenomena like afterimages. His publications span over three decades, with recent works exploring modernization perspectives in Dutch universities, interactions between science and toys, and audience studies in media history. He has supervised numerous PhD and MA theses, including award-winning works by students such as M. te Hennepe (Praemium Erasmianum Foundation, 2008). His research also extends to the history of technology, including analyses of 18th-century toys and 17th-century automatons. Wachelder actively engages in academic leadership and interdisciplinary collaboration, contributing to conferences and editorial boards. His work bridges historical analysis with contemporary cultural and technological studies, emphasizing the role of material culture in shaping societal interactions with science.

Raoul C.Y. Nuijtenمشاهده پروفایل

مدرس

• Behavior Change
• Health Promotion
• Gamification
• +۴ مورد دیگر

Raoul C.Y. Nuijten is a University Lecturer at the Eindhoven University of Technology, affiliated with the Department of Information Systems IE&IS within the School of Industrial Engineering and Innovation Sciences. His email is r.c.y.nuijten@tue.nl , and he holds an ORCID identifier: 0000-0003-0125-7708 . Education: Master's thesis: "Our Quality of Life, Our Responsibility: Exploration of the effectiveness of a game that empowers end users to improve their quality of life" (Eindhoven University of Technology, 2017) PhD thesis: "Energize: Exploring the impact of gamification strategies on engagement with mobile health apps" (Eindhoven University of Technology, 2022) Research Interests: Nuijten specializes in leveraging apps to drive behavior change for health and work performance. He employs data science techniques to create personalized strategies and tests their efficacy through empirical experiments. His work emphasizes gamification in digital health tools, personalization approaches for mHealth, and the integration of scientific knowledge to inform health behavior models. He also explores how neighborhood environments and digital interventions can enhance physical activity and well-being. Key Projects: He contributed to the GOAL: Gamification for Overweight prevention and Active Lifestyle project (2018–2021), focusing on gamification and AI-driven health strategies. This project aimed to establish evidence-based frameworks for promoting active lifestyles. Awards: In 2018, he received the Best Poster Presentation Certificate (Health track) at ICT.OPEN, recognizing his early contributions to health-focused research. Advising & Grants: Nuijten supervised 4 works (not listed by name) and has presented at conferences, such as a contributed talk in 2020 on mHealth tools. His research has garnered 110 Scopus citations and involved collaborations across disciplines and institutions. Labs/Teams: While specific lab affiliations are not mentioned, his work aligns with TU/e’s focus on digital health and innovation, including the development of platforms like GameBus and SciModeler.