جستجوی استاد راهنمای دانشگاهی

Swantje Falcke is an Assistant Professor in Economic and Social History at Utrecht University's Department of History and Art History. As part of the College of Humanities, her research focuses on migrant integration, naturalization, and the interplay between environmental change and migration patterns. Areas of Expertise: Migration and Societal Change, Pathways to Sustainability, In-Equality Studies Academic Background: PhD in Economics (2017) at Utrecht University, Post-Doc in Political Science at Maastricht University Her interdisciplinary work examines: Education-labor market mismatches among Dutch migrants Impact of German citizenship law reforms on naturalization Long-term effectiveness of refugee integration policies Environmental change effects on migration dynamics Scientific recognition includes: Duncan Black Award (2014) for political economy research NWO XS grant (2024) for environmental migration studies Her publications demonstrate methodological rigor, combining longitudinal analysis, policy evaluation, and empirical economic testing.

• Migration Studies
• Economic and Social History
• Citizenship Policy
• +۲ مورد دیگر

Tom A.E. Oomen is a Full Professor in the Department of Control Systems Technology at the Eindhoven University of Technology (TU/e). He holds affiliations with the Mechanical Engineering School and the EAISI High Tech Systems institute. His research focuses on data-driven control, motion control of mechatronic systems, and system identification, with applications in industries like automotive, medical, and energy systems. Academically, he earned his MSc and PhD from TU/e, and held visiting positions at KTH (Sweden) and the University of Newcastle (Australia). He has received notable grants (NWO Veni/Vidi) and awards, including IEEE and Mechatronics Paper Prize recognition. Oomen is a Senior Member of the IEEE and serves as an Associate Editor for IFAC Mechatronics and IEEE Control Systems Letters. His work bridges fundamental research and industry collaboration, emphasizing advanced motion control and learning algorithms. Projects include PROACTHIS (projection-based control) and ML4CONTROL (AI-driven motion control). He has supervised 99+ works and contributed to over 500 research outputs.

• Motion Control
• Control Systems Technology
• Data-Driven Modeling
• +۴ مورد دیگر

Lourens Waldorp is an Associate Professor at the University of Amsterdam within the Faculty of Social and Behavioural Sciences , specifically the Department of Psychological Methods . His research focuses on network theory, causal inference, and statistical modeling in psychology and neuroscience. University of Amsterdam IAS Fellow (2024) His research interests include: Network psychometrics Causal inference in psychological models High-dimensional statistical methods Dynamical systems in psychopathology Graph theory applications Signal processing for biophysical data The trends in his recent publications center on causal modeling, network analysis of psychopathology, and statistical techniques for time-series data. He has developed methods for perturbation graphs, moderated network models, and dynamic intervention frameworks. Notable scientific awards : IAS Fellowship for 6 months (2024) He advises PhD students like Kyra Evers and collaborates with researchers across disciplines, including J. Haslbeck , D. Borsboom , and O. Ryan . His work intersects with network theory and clinical psychology .

• Foundations of Probability
• Randomness
• Graph Theory
• +۸ مورد دیگر

Dr. Nienke Smit is an Assistant Professor in the Department of Education at Utrecht University's Faculty of Social and Behavioural Sciences. Her research focuses on scaffolding processes, adaptive teaching, and classroom observational research from a complex dynamic systems perspective. Specializes in teacher-student interaction Expert in adaptive instruction and observational methods Collaborates with Data Science department Develops tools for classroom observation Research interests include language learning and teaching , judgment and decision-making in education , and professional development of teachers . She leads projects like Eye Get It (joint attention in classrooms) and a replication study on adaptive instruction effectiveness. Her work applies dynamic systems theory to second language development and foreign language pedagogy. Recent publications address translanguaging in multilingual classrooms, replication studies , and process-oriented research . She teaches at Utrecht's Graduate School of Teaching and works on initiatives to reduce teacher shortages through improved training programs.

• Language Learning and Teaching
• Observational Research
• Educational Research
• +۷ مورد دیگر

Mascha C. van der Voort is a Full Professor at the University of Twente's Faculty of Engineering Technology, Department of Human Centered Design. Her work focuses on transdisciplinary design methodologies, inclusive technology, and sustainability. She has contributed over 180 research outputs since 1996, with notable contributions to empathy-driven design for neurodiverse populations and climate-resilient infrastructure solutions. Expertise includes: Design Theory, User-Centered Design, Automation in Design, and Sustainability. Recipient of the Best Paper Award at the 10th International Conference on Design, User Experience and Usability (2021). Active in academic governance, serving as Chair of the Faculty of Engineering Technology Board since 2021. Her research integrates transdisciplinary collaboration, with recent work exploring futures studies and co-speculation methodologies. She has supervised 18 graduate students and contributed to datasets addressing river research communication and autistic lifeworld-informed technology design.

• Design Theory
• User-Centered Design
• Automation in Design
• +۴ مورد دیگر

Dr. Kelsey Onderdijk is a Post-doctoral Researcher at Tilburg University in the Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences. Her research focuses on the intersection of music cognition, virtual reality, and social connectedness, with publications spanning neuroscience, psychology, and human-computer interaction domains. Dr. Onderdijk completed her doctoral studies at Ghent University with a dissertation titled "Come together: Exploring unity in music interaction through agency and social connectedness." Her academic journey reflects a strong commitment to understanding human interaction through musical experiences, particularly examining how technological mediation affects social bonding. Her research interests include: Music cognition and embodied music interaction Virtual reality applications in musical contexts Social connectedness in digital music environments Effects of technological constraints on musical collaboration Physiological measures of emotional engagement in music Impact of external constraints on creative expression Dr. Onderdijk's publication record demonstrates a clear trajectory examining how people connect through music in both physical and virtual spaces. Her work bridges psychology, musicology, and human-computer interaction, with particular attention to the impact of the COVID-19 pandemic on musical collaboration. Recent publications have focused on concert experiences in virtual reality environments and the physiological correlates of emotional engagement during musical performance. Her research has garnered significant attention, with multiple publications receiving citations and mentions in news outlets, policy sources, and social media platforms. The "Impact of Lockdown Measures on Joint Music Making" paper has been particularly influential, accumulating 39 citation indexes and 50 Mendeley readers. Dr. Onderdijk actively collaborates with researchers across institutions, particularly with scholars from Ghent University including Marc Leman and Pieter-Jan Maes, indicating a strong network within the music cognition research community. Her work contributes to UN Sustainable Development Goals, particularly those related to well-being and innovation.

• Music Cognition
• Virtual Reality Applications
• Social Connectedness
• +۵ مورد دیگر

Peter Werner is a Full Professor of Behavioral Economics and Policy Design at Maastricht University's School of Business and Economics, where he leads research in the Department of Economics (Microeconomics & Public Economics section). He progressed from Assistant Professor (2016-2017) to Associate Professor (2018-2023) before attaining his current full professorship, demonstrating sustained academic contribution within the institution. His educational foundation includes: Ph.D. in Economics, University of Cologne (2005-2009), thesis: 'Behavioral Economics and Agency Problems: Empirical Studies' Diplom-Volkswirt in Economics, University of Cologne and Stockholm School of Economics (1999-2005) Werner's research centers on applying behavioral insights to real-world systems , with dual focus on fundamental social preference mechanisms and practical policy design. His work bridges laboratory experiments with field applications, particularly in wage transparency , pension decision architecture , and organizational incentive structures . Recent methodological innovations integrate population-level surveys with experimental economics to measure preference stability during crises like the COVID-19 pandemic. Analysis of his 2022-2025 publications reveals expanding scope from traditional labor economics into climate behavior and intergenerational solidarity, while maintaining core expertise in experimental methodology. Key trends include increased focus on Dutch pension systems, risk communication frameworks, and cross-generational discrimination patterns using nationally representative samples. His primary recognition includes: Marie Skłodowska-Curie Individual Fellowship (2017-2019) for 'Wage transparency in companies' (Horizon 2020 Grant 745894) Werner actively secures competitive funding through major initiatives: Current: Netspar Theme Project on risk preference measurement (Instituut Gak) Recent: Netspar pension savings project (2019-2023) Past: Marie Curie Fellowship (2017-2019) He coordinates the UM Behavioral Insights Center and co-organizes the M-BEES/M-BEPS symposia series, fostering research-practice integration. As co-director of the UM Behavioral Insights Center—one of the university's research spearheads—Werner leads interdisciplinary teams applying experimental economics to public policy challenges, with particular emphasis on pension communication and labor market transparency through partnerships with Dutch governmental and financial institutions.

• Behavioral Economics
• Experimental Economics
• Public Policy
• +۳ مورد دیگر

Sascha van Schendel is an Assistant Professor in Data Protection & Cybersecurity at the Department of Law & Markets, Erasmus School of Law, Erasmus University Rotterdam. She is affiliated with the Erasmus Centre of Law and Digitalization and contributes to the Sectorplan SSH-Breed research initiative on the influence of digitalization on work, prosperity, and entrepreneurship. Her research lies at the intersection of law, technology, and fundamental rights, with a focus on data protection, privacy, algorithmic governance, and the regulation of emerging technologies in public and environmental domains. She has published widely on topics including GDPR compliance, privacy by design, smart energy systems, AI in criminal justice, and the legal implications of predictive policing. The recent publications reflect a strong trend toward the regulation of data in public infrastructure (e.g., energy grids), algorithmic accountability in law enforcement, and the integration of legal and technical perspectives in privacy-preserving systems. Her work spans environmental law, criminal procedure, and digital constitutionalism, demonstrating interdisciplinary reach. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While no formal PhD or Master’s students are listed, Dr. van Schendel has been involved in significant research projects such as the NWO-funded Megamind project on smart energy grids, indicating experience with competitive grant funding. She actively collaborates with legal scholars and contributes to public policy debates, including responses to national legislation like the Dutch Cybersecurity Bill. Labs and Teams: She is a core member of the Erasmus Centre of Law and Digitalization, a research hub focusing on the legal challenges of digital transformation. Her work is embedded in interdisciplinary collaborations involving law, technology, and public policy experts.

• Data Protection Law
• Privacy Law
• Cybersecurity
• +۱۲ مورد دیگر

Prof. Dr. Pinar Yolum Birbil is a leading researcher in Responsible AI at the Faculty of Science , Utrecht University . Her work bridges Artificial Intelligence , Privacy and Data Protection , and Software Agents , focusing on Human-Centered AI and Trustworthy Systems . She is part of the AI & Data Science and Responsible AI research groups. PhD in Computer Science, North Carolina State University (2003) MS in Computer Science, North Carolina State University (2000) BSc in Computer Engineering, Marmara University (1998) Her research explores Privacy Preservation in collaborative systems, Computational Theory of Mind for human-agent coordination, and Norm-Based AI Systems . Recent projects include the Hybrid Intelligence Center and tools like PANOLA for privacy support. She investigates how AI can balance user autonomy , ethical norms , and societal values in applications ranging from urban planning to healthcare. Her scientific publications (2023-2025) span topics like Explainable Privacy , Trust in Hybrid Teams , and AI for Diabetes Management , appearing in venues such as JAIR , AAMAS , and ACM TOIT . She emphasizes collaborative AI , with contributions to multiagent simulations and privacy-preserving mechanisms . Scientific Awards : NC State University Alumni Hall of Fame (2017) Woman Entrepreneur of the Year (Microsoft Turkey & KAGIDER, 2017) Bogazici University Academic Encouragement Award (multiple years) Best Paper Award at ESAW 2009 She supervises a dynamic research group with PhD students working on Hybrid Intelligence , Computational Ethics , and Privacy Modeling . Her projects often involve interdisciplinary collaboration with institutions like TNO and the Transforming Cities Hub .

• Artificial Intelligence
• Privacy and Data Protection
• Trustworthy AI
• +۴ مورد دیگر

Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.

• Computational Linguistics
• Dialogue Systems
• Cognitive Science
• +۳ مورد دیگر

Susan Schreibman serves as Full Professor and Key Domain Chair of Digital Arts and Culture within the Faculty of Arts and Social Sciences at Maastricht University. She concurrently holds board positions at the National Library of Ireland and Research School Media Studies, and serves as Academic Editor for the University of Illinois Press. Her research centers on computationally-driven analysis of digital archives, cultural innovation, and participatory engagement design, with core specializations in Digital Humanities, Media Studies, Literary Modernism, and Irish Cultural Studies. She pioneers methodologies for remediating analog publication modalities into born-digital paradigms while critically examining their societal impact. Analysis of her 2022-2025 publications reveals dominant trends in 3D digital scholarship (particularly multimodal historical narratives like the Battle of Mount Street Bridge project), feminist approaches to digital humanities infrastructure, and social justice applications in archival systems. Her work consistently bridges technical innovation with cultural critique across heritage, education, and gender studies contexts. No scientific awards were documented in the source materials. Professor Schreibman leads significant research initiatives including PURE3D Contested Memories and #dariahTeach, indicating active grant-funded collaborations though specific funding sources remain unmentioned. Her editorial role for University of Illinois Press and co-edited volumes like Feminist Digital Humanities: Intersections in Practice (2025) demonstrate scholarly leadership. She directs the PURE3D project developing 3D reconstructions of historical events, contributes to the #dariahTeach digital humanities education platform, and participates in the IGNITE initiative advancing digital scholarly practices. These efforts operate within Maastricht University's Faculty of Arts and Social Sciences infrastructure with external partnerships at cultural institutions like the National Library of Ireland.

• Digital Humanities
• Media Studies
• Literary Modernism
• +۴ مورد دیگر

Prof. Dr. Madalina Busuioc is a Full Professor of Public Governance at the Department of Political Science and Public Administration, Vrije Universiteit Amsterdam. She serves as Director of the Graduate School of Social Sciences and co-Director of the R&I Lab on Artificial Intelligence and Digital Governance. Her ERC-funded research explores public accountability in the AI era, with a focus on algorithmic governance and cognitive biases in administrative decision-making. She holds a PhD cum laude from Utrecht University (2010). Her research interests center on public power dynamics, algorithmic governance, and institutional accountability. Notable contributions include work on AI's impact on citizen-state interactions, reputational authority in bureaucracy, and regulatory oversight mechanisms. Her book European Agencies: Law and Practices of Accountability (Oxford UP) and peer-reviewed articles in Public Administration Review , Journal of Public Administration Research and Theory , and Governance highlight her scholarly impact. Teaching contributions include designing the MSc Public Administration: Artificial Intelligence and Governance program, which integrates technical and governance perspectives. Awards include the Haldane Prize (2016) and Fernand Braudel Fellowship (2021). She advises on AI policy through ancillary roles like membership in the Meijers Commission on international law. Her research projects address AI ethics, algorithmic accountability, and regulatory innovation. Recent work explores behavioral dimensions of human-AI collaboration in public services and the societal implications of AI adoption in administrative systems.

• Public Governance
• Artificial Intelligence in Governance
• Algorithmic Decision-Making
• +۷ مورد دیگر

Prof. dr. Steven Hoekstra is an Associate Professor of Atomic and Molecular Physics at the University of Groningen's Faculty of Science and Engineering, within the Van Swinderen Institute. His research focuses on precision measurements using cold molecules to explore fundamental physics, including Stark deceleration, laser cooling, and searches for physics beyond the Standard Model. He leads the NL-eEDM program at Nikhef, investigating the electron's electric dipole moment. Hoekstra is also involved in educational innovation, having received the Teacher of the Year award (2020) and a Senior Teacher Qualification (2023). He has supervised over 11 PhD theses and currently mentors 5 students. His work combines experimental techniques with theoretical insights, addressing questions like symmetry violations and quantum dynamics. Key projects include manipulating BaF molecules with electrostatic fields and exploring levitated nanoparticles as sensors. Hoekstra has secured major grants, including NWO VICI (2022) and VIDI (2013), and collaborates internationally on projects like the European Strategy for particle physics. Recent articles highlight advancements in molecular beam control, spin-precession methods for EDM searches, and opportunities in radioactive molecules. He actively participates in the Physics Olympiad Netherlands as chair, contributing to science outreach and education.

• Atomic Physics
• Molecular Physics
• Stark Deceleration
• +۵ مورد دیگر

Arjen Boin is a Professor of Public Institutions and Governance at Leiden University's Institute of Political Science. He serves as Director Strategy and Organisation on the Institute Board. Previously, he held roles at Utrecht School of Governance and Louisiana State University. His research focuses on crisis management, institutional resilience, and EU crisis coordination. He has authored influential books like Governing the Pandemic and The Politics of Crisis Management , which won the APSA Herbert A. Simon Award. Boin edits journals like Journal of Contingencies and Crisis Management and advises via Crisisplan BV. His teaching spans BSc and MSc Political Science programs. Education: Previous academic positions imply advanced degrees in political science, though specific education details are not explicitly provided in the text. Research Interests: Crisis management strategies, disaster coordination mechanisms, institutional resilience, and EU transboundary crisis capacities. His work bridges theory and practice, emphasizing policy design and leadership during crises. Recent focus includes pandemic governance and creeping crises. Grants/Awards: APSA Herbert A. Simon Book Award. He collaborates widely, including with the European Societal Security Research Group. PhD supervision areas include crisis management and institutional resilience. Labs/Teams: Affiliated with Leiden University Centre for International Relations and the Quantification, Administrative Capacity, and Democracy (QUAD) research group.

• Crisis Management
• Disaster Management
• Institutional Resilience
• +۳ مورد دیگر

Prof. Ronald Meester is a Full Professor of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. He specializes in mathematical statistics, probability theory, and their applications in legal and environmental contexts. His current positions include director of Meester Advies (Leiden) and expert for Landelijke Deskundigheidsmakelaar Politie (Apeldoorn). He has supervised 14 PhD theses and contributes to interdisciplinary research bridging statistics with law, epidemiology, and environmental policy. Research focuses on Bayesian reasoning, likelihood ratio analysis, and statistical methodologies for legal evidence evaluation. Recent work addresses nitrogen deposition policy critiques and epidemiological study design limitations. His ancillary activities include authorship (since 2003) and teaching roles at SSR Utrecht. Media engagements include commentaries on scientific integrity and environmental policy. Teaching includes the course 'Mathematical Modelling of Stochastic Systems' (2024-2025 academic year). Active in international collaborations and has produced 111 research outputs spanning articles, books, and encyclopedia entries. His work contributes to UN SDGs related to sustainable development through environmental statistical analysis.

• Mathematical Statistics
• Probability Theory
• Bayesian Reasoning
• +۳ مورد دیگر