جست‌وجوی استاد و پژوهشگر

Peng Wangمشاهده پروفایل

استاد مهمان

• Mental Health
• Emotion Dynamics
• Child and Adolescent Development
• +۳ مورد دیگر

Peng Wang is a Visiting Professor at the Department of Philosophy of the Sciences within the Faculty of Humanities at Vrije Universiteit Amsterdam. His academic qualifications include a PhD in Language and Emotion from VU University Amsterdam, and advanced studies in Linguistics, Education Research, and Public Health Statistics from Missouri State University, the University of Edinburgh, and the University of Oxford. His research focuses on interdisciplinary topics such as mental health interventions, emotion dynamics in education, neurodiversity advocacy, and healthcare communication. Key areas include transdiagnostic mental health approaches, ecological momentary assessment frameworks, and the integration of AI with neurotechnological research. Recent publications explore innovative methods for mental health monitoring (e.g., trimodal emotion assessment systems), universal school-based interventions for children, and the neuroethical implications of neurodiversity research. His work bridges philosophy of science with applied research in healthcare and education systems. No formal awards are listed, though his research has garnered attention across multiple platforms including Mendeley and Bluesky. Collaborations span global institutions with a focus on child mental health and healthcare professional wellbeing.

Tiziano De Matteisمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• High-Performance Computing
• Energy Efficiency in Computing
• +۴ مورد دیگر

Tiziano De Matteis is an Assistant Professor in the @Large Research group at Vrije Universiteit Amsterdam's Faculty of Science, Department of Computer Systems. He also holds an affiliation with the Network Institute. His research focuses on overcoming post-Moore architecture challenges through parallel and distributed computing, high-performance systems, energy efficiency, and FPGA applications. Previously, he was a PostDoc at ETH Zurich's SPCL Group and earned his MSc/PhD from the University of Pisa. Education PhD in Computer Science, University of Pisa MSc in Computer Science, University of Pisa Research Interests Post-Moore architectures for distributed ecosystems Energy-aware parallel computing High-level abstractions for parallel software development FPGA-based hardware acceleration Data stream processing and distributed systems Recent Research Trends Recent work emphasizes: Data center risk analysis and sustainability Optimizing microservices and distributed scheduling LLM model offloading to NVMe storage Python-based data-centric programming productivity GPU interconnect performance in supercomputing Grants & Projects Participates in the EU-funded 'Extreme and Sustainable Graph Processing' project (2023-2025), exploring scalable graph algorithms and energy-efficient computing systems. Teaching Accelerator-Centric Computing Ecosystems Computer Organization Distributed Systems Systems Seminar

Michele Elamمشاهده پروفایل

استاد

• Race and Ethnicity
• Gender Studies
• Social Justice
• +۳ مورد دیگر

Michele Elam serves as the William Robertson Coe Professor of Humanities in Stanford University's English Department, with concurrent leadership roles as Faculty Associate Director of the Institute for Human-Centered Artificial Intelligence and Race & Technology Affiliate at the Center for Comparative Studies in Race and Ethnicity. Her interdisciplinary scholarship connects literature and social sciences to analyze evolving cultural constructions of gender and race, emphasizing how racial perception critically shapes health, wealth, and social justice outcomes. Current research investigates the humanities and arts as essential frameworks for addressing equity challenges in emergent technologies. Elam previously directed Stanford's Program in Modern Thought and Literature, African & African American Studies, and English Department Undergraduate Studies. She currently advises the Feminist, Gender and Sexuality Studies Program, Michelle R. Clayman Institute for Gender Studies, Center for Comparative Studies in Race and Ethnicity, and Hasso Plattner Institute of Design (d.school). National service includes chairing the Modern Language Association's Black Literatures & Culture Division and serving on the American Literature Society Executive Council. She has received multiple national awards recognizing both scholarly contributions and teaching excellence.

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.

• 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.

• Mathematical Optimization
• Energy System Modelling
• Multi-energy Systems
• +۳ مورد دیگر

Lukas Weimann is a PhD candidate at Utrecht University's Copernicus Institute of Sustainable Development, specializing in the Energy & Resources department. His research focuses on the optimization of multi-energy systems and their synergies with carbon capture technologies to decarbonize industries like cement and steel production. He holds a BSc and MSc in Chemical Engineering from ETH Zurich, with a research stint at MIT under Prof. Klavs F. Jensen, where he developed expertise in mathematical optimization. His skills include Matlab (programming language) Modeling . Lukas supervises Master's thesis projects on topics such as: Development of MILP models for carbon capture units Optimization of multi-energy systems for carbon-neutral fuels Thermochemical storage modeling He teaches courses like Energy Conversion Technologies I and Advanced Energy Analysis, emphasizing heat integration and energy system analysis.

• 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.

Renata Medeiros de Carvalhoمشاهده پروفایل

استادیار

• Business Process Management
• Process Mining
• Declarative Business Processes
• +۳ مورد دیگر

Renata Medeiros de Carvalho is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with the Process Analytics and EAISI Health groups. She holds a PhD in Computer Science from Federal University of Pernambuco (Brazil), an MSc and BSc in Computer Engineering from University of Pernambuco, and has conducted postdoctoral research at UQAM (Canada). Her research focuses on adaptive and declarative business processes, with particular emphasis on healthcare and data privacy. Education: PhD in Computer Science, Federal University of Pernambuco (2015) MSc in Computer Engineering, University of Pernambuco BSc in Computer Engineering, University of Pernambuco Research Interests: Flexible business processes and Process Mining Declarative modeling (e.g., OCBC language) Healthcare process optimization GDPR compliance frameworks Key Projects: PATIENCE 2 : Patient-centric healthcare through nomadic sensing BPR4GDPR : GDPR compliance toolkit Awards: Xerox University Affairs Committee Grant NSERC Engage Grant Teaching & Leadership: Local coordinator for EIT Digital Data Science and Erasmus Mundus BDMA master programs Teaches courses like Advanced Process Mining and DBL Data Challenge

Patricia Lagoمشاهده پروفایل

استاد

• Software Engineering
• Software Architecture
• Sustainable Software
• +۷ مورد دیگر

Patricia Lago is a Full Professor of Software Engineering at Vrije Universiteit Amsterdam (VU), leading the Software and Sustainability (S2) research group in the Computer Science Department. She directs the VU Digital Sustainability Center (DiSC) and has pioneered initiatives like the Green Lab, fostering collaboration between academia and industry to address software sustainability. Her roles include director of the Master of Information Sciences and co-founder of the Green IT Master’s track. Her research focuses on software architecture, sustainability, energy efficiency, and ethical software design. She chairs the ICT4S conference and serves on steering committees for IEEE ICSA and ECSA. Key projects include Innoguard (Hybrid Intelligence for Cyber-Physical Systems) and uDevOps (Microservice Quality Assurance). Awards include Best Paper Awards (2016, 2019, 2022) and the Distinguished Open Artifact Award (2024). She contributes to journals like IEEE Software and Journal of Systems and Software , emphasizing sustainability and ethical practices in software engineering.

Jean-Jacques Heringsمشاهده پروفایل

استاد

• Game Theory
• Microeconomics
• Networks
• +۴ مورد دیگر

Jean-Jacques Herings is a Full Professor of Quantitative Microeconomics at Tilburg University's Tilburg School of Economics and Management (TiSEM), specifically within the Department of Econometrics and Operations Research. He has held this position since March 2022, having previously been a Professor of Economics at Maastricht University from September 1999 to February 2022. Herings' research focuses on five primary themes: Cooperative game theory, non-cooperative game theory, networks, general equilibrium theory, and equilibrium computation. His work spans theoretical foundations and practical applications, particularly in financial networks, matching markets, and strategic decision-making. He has published over 200 research outputs including articles in top journals such as Econometrica, Journal of Economic Theory, Management Science, and Mathematics of Operations Research. His recent publications reveal a continued focus on game-theoretic applications to economic problems, with particular attention to financial networks, bankruptcy problems, matching theory, and information design. There's a clear trend toward computational methods for finding equilibria and increasingly sophisticated modeling of strategic interactions in networked environments, with over 13 publications in 2024 alone demonstrating his active research program. Johannes Cornelis Ruigrok Prize (1997) Lionel W. McKenzie Prize (2008) VICI grant from NWO Fellow of the Game Theory Society (2017) Secretary-Treasurer of Game Theory Society (2014-2022) Fellow of the Society for the Advancement of Economic Theory (2019) As an advisor, Herings has supervised over 20 PhD students to completion, with research spanning game theory applications in economics, finance, and network theory. His editorial service includes membership on the boards of Games and Economic Behavior, Journal of Mathematical Economics, International Journal of Game Theory, and Mathematics of Operations Research. He also serves on the International Advisory Board of the Center for Mathematical Research in Economics and Finance at the University of Manchester.

Yanja Dajsurenمشاهده پروفایل

استادیار

• Software Architecture
• Model-Driven Development
• Component-Based Software Engineering
• +۶ مورد دیگر

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.

Teun Zuiderent-Jerakمشاهده پروفایل

استاد

• Science & Technology Studies
• Health Policy
• Healthcare Improvement
• +۴ مورد دیگر

Teun Zuiderent-Jerak is a Full Professor at the Athena Institute, Faculty of Science at Vrije Universiteit Amsterdam. His role includes program director of the 2-year Research Master Global Health , where he designs courses like Global Health Interventions focusing on transdisciplinary approaches to healthcare challenges. His research bridges Situated Intervention theory and STS Making & Doing , emphasizing practical transformations in healthcare practices. Key areas include evidence-based practices, health equity in digital age, and inclusive technology development. He has received notable awards including the 2022 Amsterdamska Award for co-editing "Making & Doing: Activating STS through Knowledge Expression and Travel" , and the 2019 Teacher of the Year Award . His work spans global collaborations, such as projects with the Centre for Equity Studies in Delhi and the Doing eHealth Right initiative addressing digital inequities. Research interests include healthcare markets, knowledge standardization, and technology for social inclusion. Recent projects focus on "Inclusive Digital Care" , "Healthcare Accountability Practices" , and "Mental Health Support for Human Rights Defenders" . He actively contributes to academic societies like the Society for Social Studies of Science (4S) . Supervised over 10 PhD theses and led grants totaling €1M+ in funding. His teaching and research aim to integrate scholarly rigor with real-world impact, fostering "situated interventions" that challenge and improve healthcare systems globally.

• Computational Neuroscience
• Neurophysics
• Brain Oscillations
• +۲ مورد دیگر

Paul Tiesinga is Professor of Neuroinformatics at Radboud University's Faculty of Science, where he directs the Neuroinformatics group at the Donders Centre for Neuroscience. His research focuses on understanding information processing in the brain, particularly the role of oscillations ('brain waves') in cognitive functions and disease mechanisms. He combines computational modeling with experimental approaches including optogenetics to investigate cortical dynamics. As Director of Education for the Institute for Mathematics, Physics and Astronomy, he oversees academic programs while maintaining active research in: Computational modeling of cortical circuits Oscillation mechanisms in neural coding Data sharing policies for neuroscience Information transfer between brain areas His recent publications reflect advances in neurotechnology development, thalamocortical connectivity analysis, and novel methodologies for neural data interpretation.

Maria Yaroshمشاهده پروفایل

پژوهشگر

• Higher Education Curriculum Design
• Intercultural Competence Development
• Competence-Based Education
• +۳ مورد دیگر

Maria Yarosh, PhD, is a Researcher affiliated with the University of Groningen's International Strategy & Relations department under Corporate & International Affairs. Her work focuses on designing competence-based educational programs, assessment methodologies, intercultural competence development, and faculty development in higher education. She has been actively involved in several international projects including the ACE initiative in Latin America (2020-2022), the CALOHEE project on measuring learning outcomes, and the PROFIC and FORTH initiatives. Her research emphasizes global educational standards, cross-cultural competency frameworks, and curriculum internationalization. Education and Professional Background: While specific academic qualifications beyond the PhD are not detailed in the provided texts, her roles indicate advanced expertise in comparative and international education systems. She has coordinated multiple EU-funded Erasmus+ projects focusing on higher education reforms across different regions. Research Interests: Maria's work spans intercultural competence training for academics and students, curriculum design for global competency development, and evaluating the implementation of educational policies in diverse contexts. She has contributed to frameworks like the Tuning Approach for teacher education programs and developed tools for assessing cultural intelligence in international programs. Collaborations: She collaborates across institutions in Latin America, Asia, and Europe through projects like CALOHEE Phase 2, which seeks to harmonize learning outcome measurements in European higher education systems. Labs/Teams: Her research is embedded within collaborative international teams focused on educational projects such as ACE, CALOHEE, and FORTH, which involve cross-border partnerships for curriculum development and faculty training.

• Cognitive Psychology
• Experimental Psychology
• Applied Data Science
• +۴ مورد دیگر

Baptist Liefooghe is an Associate Professor in the Social, Health and Organisational Psychology department at Utrecht University's Faculty of Social and Behavioural Sciences. His research bridges cognitive psychology with human-centered artificial intelligence, focusing on how humans interact with and trust AI systems while examining fundamental cognitive processes like task switching and instruction-based learning. His primary research interests include Cognitive Psychology , Experimental Psychology , Applied Data Science , and Human-centered Artificial Intelligence . Dr. Liefooghe investigates how humans process instructions, switch between tasks, and develop trust in artificial intelligence systems. His work demonstrates how cognitive processes influence human-AI interactions, particularly examining how people judge AI morality and competence, how social presence affects trust in algorithms, and how cognitive control mechanisms operate during task switching. Analysis of his recent publications reveals a strong trend toward interdisciplinary research combining cognitive psychology with AI applications. His work spans from fundamental cognitive processes (task switching, instruction implementation) to applied human-AI interaction research (trust in AI, facial perception of artificial agents, health behavior change through AI). This integration of basic cognitive research with practical AI applications represents a distinctive feature of his scholarly contributions. Dr. Liefooghe has published extensively in top-tier journals including Journal of Cognition, Cognitive Research, Cortex, and Frontiers in Artificial Intelligence. His research has garnered significant attention in the field, with multiple highly cited publications examining the cognitive mechanisms underlying human interaction with technology. His methodological expertise includes experimental design, statistical analysis using R programming language, and cognitive modeling. This technical proficiency enables him to conduct rigorous investigations into complex cognitive phenomena while applying these insights to real-world human-AI interaction scenarios.