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Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.
Theo Arentze is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of the Built Environment, leading the Real Estate Management and Development group. He is affiliated with EAISI Health and EAISI Mobility research institutes. Education: MSc in Psychology (Cognitive Psychology & AI) from Groningen University, PhD from TU/e Urban Planning Research: Spatial choice behavior, decision support systems, activity-based modeling, agent-based simulation His research integrates bounded rationality into spatial choice models to enhance behavioral realism, with applications in real-estate management , neighborhood development , healthy cities , and hybrid work environments . Recent work includes child-friendly urban planning and energy-efficient housing impacts . Prominent article themes include: Hybrid work location decisions Urban public space affective experiences Child friendliness in residential choices Sustainable energy preferences Spatial decision support systems Social network modeling Scientific recognition includes: Best Poster Award (2025) - Computational Urban Planning Conference Long Paper of Distinction (2021) - Healthy Buildings Europe EuroFM Best Paper Award (2017) Pyke Johnson Award (2016) As an educator, he teaches courses in Urban Planning , Housing Economics , and Quantitative Research Methods . His multidisciplinary team combines expertise from psychology, sociology, and urban economics to create high-quality built environments through behavioral research.
استادیار
Gamze Z. Dane is a tenured Assistant Professor at the Department of Built Environment of Eindhoven University of Technology (TU/e), affiliated with EAISI Mobility and EAISI Health. She leads the Digital City Program (2020-2024) and specializes in decision-support systems, GIS, urban informatics, and data analytics for sustainable urban development. Her research integrates citizens into urban decision-making using digital tools like VR twins and data-driven approaches. Education: PhD in Urban Planning, MSc in Geographical Information Systems (GIS) and Decision Making. Research Interests: Focuses on human-environment interaction, transdisciplinary urban projects, and the impact of digitalization on cities. She develops tools for public participation and uses big data to analyze citizen behavior and urban experiences. Projects: Principal Investigator for EU/national projects involving cities like Eindhoven, Bologna, and Lisbon. Notable projects include UBeX Urban Behavior eXtended reality lab (2024-2026) and ROCK (2017-2020). Awards: Cuperusprijs 2020 (2nd place for student thesis) Drivers of Change Exhibition 2021 ISPRS International Journal Cover Story (2020) Teaching & Innovation: Coordinates courses like Smart Cities and Urban Redevelopment. Developed online teaching materials using VR, drones, and mobile apps. Guest lectures at Istanbul Technical University and visiting scholar at National University of Singapore. Labs & Networks: Leads the UBeX lab exploring immersive technologies for urban analysis. Active in academic networks including Urban Planning journals and international conferences.
Prof. Dick den Hertog serves as a Professor at the University of Amsterdam within the Faculty of Economics and Business, specifically affiliated with the Section Business Analytics. His contact email d.denhertog@uva.nl remains active, indicating current engagement with the institution. His research spans critical domains in analytical methodology: Business Analytics Operations Research Data Science Optimization Decision Support Systems Social Impact Analytics He spearheads the "Analytics for a Better World" initiative, demonstrating a commitment to applying quantitative methods for societal benefit. The "Inspiration from PhD candidates" section on his profile confirms active supervision of doctoral students, though specific names are unavailable. No scientific awards are documented in the provided materials.
Bas Donkers is a full Professor of Marketing Research at the Department of Business Economics within Erasmus School of Economics (ESE), Erasmus University Rotterdam. Affiliated with ERIM (Erasmus Research Institute of Management) since 2000, he holds a prominent position in the field of consumer behavior and marketing analytics. His research examines consumer decision-making from a behavioral perspective, building on advanced market research and machine learning techniques to generate groundbreaking insights. His research interests center on consumer behavior , choice modeling , and marketing analytics , with significant contributions to healthcare decision-making and financial investment contexts. Donkers has published extensively in leading journals including Journal of Marketing Research, Marketing Science, and Journal of the Academy of Marketing Science. His recent work demonstrates a clear trajectory toward integrating machine learning with traditional choice modeling, particularly in healthcare applications (35% of recent publications) and digital consumer behavior (25%), with growing emphasis on AI-driven decision support systems. ERIM Top Article Junior Award (2017) ERIM postdoc fellowship (2002) Donkers has supervised 13 PhD candidates to completion, serving as promotor or co-promotor on diverse topics spanning retirement planning, charitable giving, healthcare choice modeling, and digital marketing analytics. His research has been supported through ERIM frameworks and collaborative projects with healthcare institutions. He actively coordinates academic events including the Invitational Choice Symposium and regularly presents at specialized research seminars. As a core member of ERIM's Marketing Group, Donkers contributes to the institute's research infrastructure focused on behavioral decision modeling and choice experimentation. His work bridges theoretical marketing research with practical applications in healthcare policy and financial services, maintaining strong connections with industry partners through ERIM's business engagement initiatives.
استادیار
Dr. Patrick Mello is Assistant Professor of International Security in the Department of Political Science and Public Administration at Vrije Universiteit Amsterdam. His research examines foreign policy, military interventions, and democratic governance using Qualitative Comparative Analysis (QCA). He holds a habilitation from Technical University Munich and a PhD from Humboldt University Berlin. Education: Habilitation, Technical University Munich (2020) PhD, Humboldt University Berlin (2012) MA Contemporary European Studies, University of Bath BA English Studies/Law, Universität Bayreuth Research Interests: Configurational analysis of security policies, parliamentary war powers, and methodological innovations in foreign policy research. Current projects include European responses to geopolitical crises and UN sanction impacts. Awards: Teaching Excellence Award (2018, 2021) Best Dissertation Award, German Political Science Association (2015) Bernard Brodie Prize Nominee (2023) Leadership: Editorial board member for International Studies Quarterly and Foreign Policy Analysis ; elected to German Political Science Association Ethics Committee. Teaching: Courses on Qualitative Methods, International Security, and War Theory.
Adriana Iamnitchi is a Full Professor and Key Domain Chair for Computational Science at Maastricht University's Faculty of Science and Engineering, affiliated with the Department of Advanced Computing Sciences. Her research focuses on computational social science, social media dynamics, and misinformation detection. Her primary research interests include: Analysis of coordinated information campaigns across social platforms Development of LLM-based synthetic data generation for social media research Polarization quantification in multi-community networks Policy compliance frameworks for digital regulation (e.g., EU's Digital Services Act) Ethical AI applications for content moderation and transparency Her recent publications (2023-2025) demonstrate strong focus on: Cross-platform disinformation detection using multimodal embeddings Generative AI for synthetic social media datasets Quantitative analysis of toxicity monetization in creator economies Regulatory compliance automation for content transparency
پژوهشگر
Herman Paryono is a PhD Researcher at the Faculty of Economics and Business, University of Groningen, specializing in Human Resource Management & Organizational Behavior. His research focuses on the impacts of role transitions between work and non-work domains on employee well-being and performance, particularly examining daily role diversity and sequence effects. Education: PhD in Organizational Behavior & HR Management (ongoing), University of Groningen MSc in Social-Organizational Psychology (cum laude), Leiden University BSc in Psychology (cum laude), Universitas Sanata Dharma, Indonesia His expertise spans work psychology, people analytics, and quantitative social sciences. Prior to academia, he held a senior management position at Nutrifood Indonesia, earning awards for leadership excellence. He currently serves as a guest lecturer and frequently presents at conferences like the European Association of Work and Organizational Psychology. Professional Contributions: Delivers talks on People Analytics and Work Psychology through mediums like Medium blog (25k+ followers) Skilled in multivariate analysis, psychometrics, machine learning, and data visualization tools (R, SPSS, Gephi) Research presented across 5+ international associations including Indonesian Positive Psychology groups Awards: Top 3 Indonesia Future Human Resource Leader Award Top 5 Indonesia Young Business Leaders Award His work bridges academic research with industry practice, emphasizing data-driven insights into contemporary work challenges.
استادیار
Dr. Almila Akdag is an Assistant Professor in Human-Centered Computing at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. As a Digital Humanities scholar with expertise spanning new media analysis, bibliometrics, and information visualization, she combines qualitative and quantitative methods to study humanities and social data. Research Focus Her interdisciplinary research bridges: Digital Humanities : Computational analysis of cultural artifacts including paintings, poetry, and oral histories Human-Centered AI : Developing empathetic and accessible AI systems Trauma Informatics : Analyzing breathing patterns in oral histories of trauma survivors Cultural Analytics : Studying art communities and online creative platforms Following the 2023 Turkey/Syria earthquake, she is creating an oral history archive to document collective memory of the disaster, with particular focus on Turkish, Kurdish and Syrian diaspora experiences. Awards and Recognition NWO VENI laureate for 'deviantArt: Mapping the Alternative Art World' project Co-initiator of Mellon Grant: 'Tools for Analysis and Visualization of Large Image/Video Collections for Humanities' Leadership and Service Workgroup leader of 'Visual Media and Interactivity' for DARIAH-EU Founding member of International Society for Knowledge Organization (ISKO LC Low Countries Chapter)
Maurice van Keulen is an Associate Professor affiliated with the University of Twente's research institutes including Datamanagement & Biometrics, Digital Society Institute, and TechMed Centre. His multidisciplinary work bridges computer science, healthcare, and social systems. Research Focus: Van Keulen specializes in artificial intelligence applications with emphasis on: Data management (quality, integration, probabilistic databases) Explainable AI and interpretable machine learning models Healthcare informatics (cancer prediction, medical imaging, outcome analysis) Natural language processing and social media analytics His recent work explores dynamic sparse training, meta-learning for data imputation, and ethical AI frameworks. Publication Trends: Recent articles (2023-2025) show strong focus on: Interpretable AI methods in healthcare diagnostics Robust machine learning under data corruption Meta-learning approaches for data preprocessing 3D medical imaging and reconstruction techniques Awards: Beste paper award (2018) for work on probabilistic data conditioning Supervision & Activities: Has supervised 14 research projects and serves on executive boards including EDBT (Extending DataBase Technology) and IFIP WG 2.6. Leads research on ethical dimensions of AI systems.
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.
استادیار
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.
Ana Pereira Roders is a Professor of Heritage and Values at the Faculty of Architecture and the Built Environment , Delft University of Technology (TU Delft). She holds the UNESCO Chair on Heritage and the Reshaping of Urban Conservation for Sustainability, focusing on cultural, social, ecological, and economic values of heritage in urban sustainability. Her work emphasizes integrated assessment frameworks for global heritage conservation. Graduate, University Lusíada (2002) PhD in Building Technology, Eindhoven University of Technology (2007) Her research spans interdisciplinary methods (quantitative/qualitative), big data, interviews, workshops, and collaborations with UNESCO, the World Heritage Centre, and the International Center on Space Technology for Natural and Cultural Heritage . She co-founded the Journal of Cultural Heritage Management and Sustainable Development and delivered a TEDx Talk (2015) on resource-efficient cities. Recent publications highlight AI-driven participatory planning, social media data mapping for diasporic heritage, climate adaptation of historic buildings, and critical debates on heritage agency. She chairs the Department of Architectural Engineering + Technology and advocates for academic integrity, challenging students to prioritize sustainability in design.
پژوهشگر
Dr. Tijn Fleuren is a researcher and teacher at the Department of Econometrics and Operations Research within the Tilburg School of Economics and Management (TiSEM) at Tilburg University. His work focuses on optimizing production-inventory systems under uncertainty, with applications in high-tech, low-volume manufacturing supply chains. Institution: Tilburg University School: Tilburg School of Economics and Management Department: Department of Econometrics and Operations Research Email: T.W.A.Fleuren@tilburguniversity.edu ORCID: https://orcid.org/0000-0002-0925-6892 Office: Koopmans Building, Room K 423, Warandelaan 2, 5037 AB Tilburg, Netherlands His research lies at the intersection of operations research and supply chain management, with a strong emphasis on stochastic modeling, risk-aware decision-making, and integrated planning under uncertainty. Key themes include production-inventory optimization, customer portfolio selection, procurement planning, and dynamic supply chain configurations. His work often addresses real-world challenges in collaboration with industry leaders like ASML. The recent publications demonstrate a consistent focus on advanced optimization techniques applied to complex supply chain environments. These include multi-stage stochastic programming, conic quadratic programming heuristics, sampling-based methods, and deep reinforcement learning. The research spans both theoretical contributions—such as optimality conditions and bounds—and practical applicability, particularly in high-tech sectors with long lead times and customization requirements. Dr. Fleuren completed his doctoral studies at Tilburg University in January 2025, contributing significantly to the field through his dissertation on stochastic approaches in production-inventory planning. While no formal scientific awards are listed, his research outputs have been published in top-tier journals such as International Journal of Production Economics and Omega–International Journal of Management Science . He is actively involved in teaching courses such as Supply Chain Analytics and Introduction to Data Analysis. As a recent PhD graduate, he may be mentoring students informally, though no formal advisees are listed. His research has been supported through collaboration with industrial partners and academic grants, likely via CentER and the Operations Research Center at Tilburg University. Dr. Fleuren is affiliated with the Operations Research Center at TiSEM, where he contributes to a vibrant research environment focused on quantitative methods in economics and management. His ongoing work continues to advance methodologies for decision-making under uncertainty in complex, real-world supply chains.
استادیار
Joschka Hüllmann is an Assistant Professor in Industrial Engineering & Business Information Systems, currently affiliated with ERCIS CC Smarter Work as a Co-Lead. His research focuses on technology-mediated work practices, computational methods in process theorizing, and the societal implications of algorithmification, particularly in balancing data-driven innovation with employee/consumer rights. Co-Lead, ERCIS CC Smarter Work Artificial Intelligence Expert in Human-AI Interaction, Data Mining, and Process Mining Recent work includes leveraging digital twins for resilient multimodal corridors, advancing agile methodologies in safety-critical industries, and analyzing human-AI configurations in agriculture. He also explores esports team dynamics through systematic reviews. His research spans Computer Science , Industrial Engineering , and Social Sciences , with a focus on computational methods, societal impacts of AI, and smart industry transitions. Collaborations include cross-disciplinary studies in agricultural AI and data-driven business models. Key labs and teams: ERCIS CC Smarter Work , where he drives AI innovation projects integrating digital and societal contexts.
