جست‌وجوی استاد و پژوهشگر

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.

Remco M. Dijkmanمشاهده پروفایل

استاد

• Business Process Management
• Data-Driven Process Optimization
• Supply Chain Management
• +۳ مورد دیگر

Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.

Rianne Conijnمشاهده پروفایل

استادیار

• Learning Analytics
• Human-Technology Interaction
• Artificial Intelligence
• +۶ مورد دیگر

Rianne Conijn is an assistant professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), Netherlands. Her research bridges data-driven methodologies (machine learning, statistical modeling) with human-centered design to enhance learning analytics, explainable AI, and writing process analysis. She holds a joint PhD (cum laude) from Antwerp University and Tilburg University, and an MSc (cum laude) in Human-Technology Interaction from TU/e. Academic Background: MSc (2015, TU/e, cum laude), PhD (2020, Antwerp University & Tilburg University, cum laude). Research Focus: Learning analytics, keystroke logging, explainable AI for education, data dashboards, and self-regulated learning dynamics. Teaching: Courses in Advanced Research Methods, Human-AI Interaction, Behavioral Research Methods, and AI ethics in education. Her recent publications explore parallel language planning in writing, longitudinal self-regulated learning strategies, and generalizability of academic performance prediction models. She leads an NWO Veni project on Human-Centered AI in education, emphasizing tailored explanations for student-AI collaboration. Scientific awards include cum laude distinctions for her MSc and PhD, and the NWO Veni grant. Collaborative work spans institutions in the Netherlands, Norway, and the U.S., with applications in intelligent tutoring systems and ethical AI deployment in exams. Key trends across her work: integration of machine learning with educational theory, leveraging keystroke data for cognitive process insights, and prioritizing actionable, explainable AI systems for student support. Publications span journals like the Journal of Experimental Psychology: General , Computers and Education , and IEEE Transactions on Learning Technologies . Scientific Awards: NWO Veni grant for Human-Centered AI in education Cum laude for MSc and PhD Grants & Collaborations: National Science Foundation grants (2016868, 2302644) for biometric feedback in writing UK Research and Innovation grant (ES/W011832/1) for real-time AI scaffolding TU/e Boost! Program grant for self-regulated learning analysis Labs & Teams: EAISI Foundational (Eindhoven AI Systems Institute) Human Technology Interaction group at TU/e Collaboration with Norwegian Reading National Center (University of Stavanger) Project teams for Waterproof ITS and ProWrite grants

Mehdi Dastaniمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Formal Methods in AI
• +۵ مورد دیگر

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.

• Composite Materials
• Additive Manufacturing
• Finite Element Analysis
• +۳ مورد دیگر

Joris J.C. Remmers is an Associate Professor of Composite Materials at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He is also affiliated with the EAISI High Tech Systems and leads the Mechanics of Materials research group. His academic journey includes a MSc in Aerospace Engineering (TU Delft, 1998) and a PhD in Computational Mechanics (TU Delft, 2006). Remmers' research focuses on composite materials and additive manufacturing, particularly the relationship between manufacturing processes, microstructure, and mechanical properties. He employs advanced numerical techniques to study multi-physics phenomena across scales. Research Themes: Composite materials and fiber-reinforced systems 3D printing and additive manufacturing processes Numerical methods (e.g., finite element analysis, model order reduction) Micromechanical modeling of material behavior Grants and Projects: Project Manager for Innovation test bed for development and production of nanomaterials for lightweight embedded electronics (2019–2023) Awards: Emerging DMD Based Systems and Applications Best Paper Award (2025) Teaching: Leads courses on advanced manufacturing, computational mechanics, and data-driven approaches in engineering, including Advanced and Additive Manufacturing and AI-assisted innovation in portable plasma technology . Labs/Teams: Active in the Mechanics of Materials group, collaborating on multi-scale mechanics, damage modeling, and material failure analysis.

Marco de Baarمشاهده پروفایل

استاد

• Nuclear Fusion
• Plasma Control
• Plasma Physics
• +۵ مورد دیگر

Marco de Baar is a Full Professor (Part-time) and Chair of Plasma Fusion Operation and Control at the Mechanical Engineering Faculty of Eindhoven University of Technology (TU/e). He concurrently serves as Head of Fusion Research at DIFFER (Dutch Institute for Fundamental Energy Research) and represents the Netherlands in the EUROfusion consortium. His research focuses on plasma control in fusion reactors, including magnetohydrodynamic (MHD) instabilities, plasma stability optimization, and remote maintainability of fusion systems. He has extensive experience leading operations at JET (Europe’s largest fusion experiment) and contributes to ITER-NL as a program leader for MHD stabilization. Education: PhD in Physics (TU/e), MSc in Experimental Physics (Utrecht University) Affiliations: Member of DIFFER’s management team, Technical Advisory Panel for Fusion for Energy His work integrates physics and control engineering to address challenges in managing plasma heat loads and achieving optimal reactor performance. He also explores tele-operated maintenance techniques for fusion reactors, as evidenced by his collaboration on the Upper Port Launcher project. Labs/Teams: Part of the Control Systems Technology Group and Group Heemels at TU/e, collaborating closely with DIFFER’s fusion research initiatives.

Mart Lubbersمشاهده پروفایل

استادیار

• Task-Oriented Programming
• Internet of Things (IoT)
• Embedded Domain-Specific Languages
• +۴ مورد دیگر

Mart Lubbers is an Assistant Professor at Radboud University , focusing on Computer Science . He transitioned from a PhD candidate (2018–2023) and Researcher roles to his current faculty position, with a research emphasis on Task-Oriented Programming and IoT systems . Academic affiliations: Radboud University (current), Netherlands Defence Academy (2017), Max Planck Institute for Psycholinguistics (2013–2015) Teaching: Compiler Construction , New Devices Lab , and Sustainable IoT workshops in SusTrainable summer schools His research bridges Embedded Systems , Functional Programming , and Green Computing , particularly through the development of the mTask framework for IoT orchestration. Publications highlight innovations in DSL design , low-power computing , and tierless language architectures . Current supervision includes PhD candidates Niek Janssen and Benedikt Rips , alongside BSc advisees. He actively contributes to conferences as PC member/chair (TFP, IFL, CompSys).

• Web Development
• Programming Languages
• Software Engineering
• +۷ مورد دیگر

D.M. Groenewegen is a researcher at the Computer Science & Engineering department within the School of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His work focuses on domain-specific languages, particularly WebDSL , for web application development and academic workflow optimization. Research interests include domain-specific languages (DSL) , web programming , conference management systems , and software engineering . He has contributed to improving the reliability and modularity of DSLs through case studies and runtime evolution. Recent publications explore the use of WebDSL to build systems like Conf Researchr for managing academic conferences, incremental computation in persistent object graphs (e.g., IceDust ), and the integration of validation and UI concerns in web applications. These works highlight trends in DSL design , linguistic abstractions , and software reliability . He collaborates with researchers such as Elmer van Chastelet and Eelco Visser, emphasizing peer-reviewed contributions to conferences like ECOOP and workshops under ACM and Dagstuhl Publishing. His work has been published in venues such as OpenAccess Series in Informatics and PervasiveHealth .

Tine Benekerمشاهده پروفایل

استاد

• Geography Education Research
• Future-Oriented Education
• Young People's Global Awareness
• +۵ مورد دیگر

Prof. Dr. Tine Beneker is a Professor of Geography & Education at Utrecht University's Faculty of Geosciences and currently serves as Vice Dean for Education. Her research focuses on Geography Education Research, emphasizing the interplay between disciplinary knowledge and school curricula. Key interests include future and global dimensions in education, young people's global awareness, and teacher professionalization. She has published extensively on topics such as climate change education, curriculum design, and sustainability pedagogy. She holds leadership roles including membership in the Dynamics of Youth program committee and the Commission on Geographical Education (IGU). Her awards include the Dutch Higher Education Award (2021) and recognition for contributions to university teaching excellence. She has also served as a lecturer at Fontys Teacher Education and chaired secondary education examination committees. Her academic contributions span over 50 peer-reviewed publications since 2002, with notable work on teacher pedagogical content knowledge, curriculum leadership, and global citizenship education. She actively participates in editorial boards for journals like International Journal of Development Education and Global Learning . Awards: Dutch Higher Education Award (2021), Academic Year Award (2007) Leadership: Vice Dean (Geosciences), Dynamics of Youth program committee member Teaching: Courses include Geography, Education and Communication and Climate Change Education Strategies

• Physical Literacy
• Developmental Coordination Disorder (DCD)
• Motor Skills in Children
• +۵ مورد دیگر

Dr. Johannes Noordstar serves as a Lecturer in Clinical Child and Family Studies at Utrecht University's Faculty of Social and Behavioural Sciences. He maintains a dual professional role, working concurrently at the Wilhelmina Children's Hospital Utrecht where he conducts practice-oriented research on physical literacy in children with chronic diseases and physical limitations. His academic appointments include involvement in teaching Clinical Child, Family and Education Studies (Master) and Educational Sciences (Bachelor) programs, with specific course contributions to Developmental Psychopathology and Pedagogical systems in childhood and adolescence. Dr. Noordstar's research primarily focuses on physical literacy, developmental coordination disorder (DCD), motor skills development, and self-perception in children. His work extensively examines how children with chronic medical conditions—including congenital heart defects, cystic fibrosis, and sickle cell disease—engage with physical activity and develop motor competencies. He investigates the relationship between motor performance, exercise capacity, sports participation, and parental perceptions, with particular attention to how these factors influence children's self-perception and quality of life. His research methodology often employs longitudinal cohort studies and systematic reviews to establish evidence-based practices in pediatric exercise therapy. The trajectory of Dr. Noordstar's publications reveals a consistent focus on the intersection of motor development, physical activity, and psychosocial factors in children. From his doctoral work on self-perceptions and physical activity to his recent studies on physical literacy in children with chronic conditions, his research demonstrates a clear evolution toward addressing clinical applications of motor development theory. His publications span high-impact journals in pediatrics, developmental psychology, and physical therapy, indicating strong interdisciplinary relevance. The concentration of recent work (2023-2025) on specific chronic conditions suggests a strategic focus on translating research into clinical practice for vulnerable pediatric populations. Dr. Noordstar holds significant leadership positions in his field, including Chairman of the Platform for Children's Exercise Therapy, Chair of the Paramedical Working Group on Developmental Coordination Disorder, and Chairman of the Steering Committee DCD Network Netherlands. He serves as Coordinator and teacher for the guidance program for pediatric exercise therapists (BTK), and is an active member of both the Dutch DCD Research Network and the international DCD BIG group. His professional activities demonstrate a strong commitment to bridging academic research with clinical practice in pediatric motor development and exercise therapy.

Gijs Hollemanمشاهده پروفایل

استادیار

• Human interaction
• Eye movements
• Perception
• +۳ مورد دیگر

Dr. Gijs Holleman is an Assistant Professor at Tilburg University's Department of Cognitive Neuropsychology within the Tilburg School of Social and Behavioral Sciences. His research focuses on human interaction, eye movements, perception, child development, applied cognitive psychology, and the history of psychology. He actively contributes to courses like *Trust in Your Brain* and *Research Skills in Psychology* in the Liberal Arts & Sciences program. His work emphasizes real-world applications of cognitive psychology, particularly through eye-tracking studies examining social interactions, gaze behavior, and communication dynamics. Notably, he critiques traditional methodologies like 'ecological validity' and explores wearable technology's role in real-world research. Holleman co-leads projects investigating parent-child interactions and aesthetic art experiences using digital wearables. Recent publications analyze gaze allocation in face-to-face communication, the societal relevance of psychological research, and the methodological challenges in 'real-life' neuroscience. He serves on the editorial board of *De Psycholoog* and engages in public outreach through talks on eye movements and attention. Current projects include studies on parent-child interaction dynamics using dual eye-tracking and exploring emotional and attentional responses in art appreciation through wearable devices. Holleman advocates for balanced funding between applied and fundamental research in psychology, emphasizing the importance of foundational scientific inquiry.

• Organizational Anthropology
• Leadership Development
• Diversity
• +۲ مورد دیگر

Marcella Ponsen serves as a Lecturer at Utrecht University within the Sport and Society department under the Faculty of Law, Economics and Governance. Her institutional affiliation spans the Department of Public Administration and Organizational Science, where she delivers courses including Consulting Science, Policy Analysis, and the Leadership in Culture (LinC) executive program. Her educational background includes a degree in Cultural Anthropology from the University of Amsterdam (2001) and Education Science studies. She has extensive international experience working with expatriates and multicultural teams across multiple countries. Research focuses on organizational anthropology, leadership development in cultural contexts, diversity initiatives, and intercultural communication dynamics. Her work emphasizes practical applications for professionals and organizations operating in global environments, particularly through executive training programs. She coordinates the Consulting and Qualitative Research minor while teaching courses on task-oriented collaboration, presentation techniques, and process guidance for learning circles and qualitative research projects. As program leader for the Leadership in Culture initiative, she develops custom learning trajectories for professionals, teams, and organizations. Her teaching portfolio includes Policy, Rationality and Power; Low Countries Developments; and Dutch Society courses.

• Computer Science
• Software Engineering
• Workflow Systems
• +۲ مورد دیگر

Dr. Nico Naus is a Lecturer in the Software Technology group at Utrecht University's Science faculty. His research focuses on Computer Science , particularly in Workflow Systems , Task-Oriented Programming , and Automated Feedback Mechanisms for programming education. His recent publications highlight expertise in: Formal methods for workflow systems Rule-based feedback mechanisms JavaScript flow analysis Task-oriented programming Dr. Naus' work bridges software engineering practices with educational technology innovations, as evidenced by his publications at PPDP, TFP, and L@S conferences. His contributions focus on improving user interaction in programming environments and workflow automation systems.

• Organizational Development
• Psychodynamics in Organizations
• Leadership Coaching
• +۴ مورد دیگر

Martijn van der Spek is an Assistant Professor at Utrecht University's School of Governance , affiliated with the Department of Public Administration and Organizational Science. He serves as a senior consultant, coach, and program leader at USBO Advies, focusing on organizational dynamics and leadership development. Education: Interdisciplinary Social Sciences (ASW) with specialization in organizational culture, management, and internal communication; Psychology; Health Psychology; additional training in psychodynamic consulting. His research and practice center on psychodynamic-systemic approaches to organizational development, addressing unconscious dynamics, task-oriented collaboration, and sustainability in leadership. He co-develops programs for profit and non-profit sectors through Inside Dynamics in Organizations . Martijn's expertise includes: Group and organizational dynamics Leadership coaching Team development Conflict management As an Associate Consultant at Tavistock Consulting and member of ISPSO , he contributes to international organizational psychology initiatives.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Dr. Shihan Wang is an Assistant Professor at Utrecht University's Faculty of Science, Department of Information & Computing Sciences, specializing in Intelligent Systems . Their research balances theoretical development and practical application, focusing on human-centered artificial intelligence and reinforcement learning. Wang's expertise spans Artificial Intelligence, Machine Learning, Data Mining, Computational Social Sciences, and Social Networks , with a particular emphasis on applying these fields to healthcare (e.g., diabetes and dementia care), behavioral science (e.g., physical activity promotion), and social network analysis . 2025 Articles: Efficient dialogue policies with evolutionary techniques • Factorized communication in multi-agent systems • Sparse communication frameworks 2024 Highlights: Goal-shaping for dialogue systems • Reward structure learning • Taxonomy induction with multi-critic RL Scientific contributions are recognized through a University Teaching Qualification (2020) and a Teaching Prize (2021-2022) . Currently, they coordinate the Applied HAI special interest group and participate in The Hybrid Intelligence Center and Benelux Association for Artificial Intelligence . Teaching activities include Advanced Machine Learning (lecturer 2020-2023), Applications of Machine Learning (2020-2022), and program coordination for the Artificial Intelligence MSc since 2022.