Find Academic Supervisors

Raquel FernándezView profile

Professor

• Computational Linguistics
• Dialogue Systems
• Cognitive Science
• +3 more

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.

Jan TheeuwesView profile

Professor

• Cognitive Psychology
• Visual Attention
• Statistical Learning
• +6 more

Prof. Jan Theeuwes is a Full Professor of Cognitive Psychology at the Vrije Universiteit Amsterdam's Faculty of Behavioural and Movement Sciences, leading the ERC-funded research group on statistical learning and attention. He holds additional roles as Distinguished Visiting Research Professor at the William James Center for Research (Lisbon) and Visiting Professor at Zhejiang University (China). With over 474 publications and two ERC Advanced Grants (2013 & 2019), his work spans visual attention, statistical learning, and applied human factors in road design. He pioneered the 'Self-Explaining Roads' concept, revolutionizing global road safety design, and co-developed Open Sesame, a widely used open-source experiment builder. His research integrates EEG, fMRI, and computational modeling, addressing topics like distractor suppression, emotion, and leadership influence. Over 25 PhD students have graduated under his mentorship, many securing academic roles across Europe. Education: Cum laude degrees in Experimental Psychology (Tilburg University) and a PhD (VU Amsterdam, 1992). Key awards include the Bertelson Award (2001) and KNAW membership (2010). He advises the Dutch Department of Transportation and founded the Institute for Brain and Behavior Amsterdam (IBBA) in 2016. Ancillary roles include leadership in European psychological societies and consultancy for Attention Architects, applying eye-tracking research in corporate settings.

Pascal MettesView profile

Assistant Professor

• Hyperbolic Deep Learning
• Computer Vision
• Vision-Language Models
• +3 more

Pascal Mettes is a tenured Assistant Professor at the University of Amsterdam within the Informatics Institute, specializing in Artificial Intelligence. He leads groundbreaking research in hyperbolic deep learning, a field he has significantly advanced through theoretical developments and practical applications in computer vision and multimodal learning. His research focuses on three primary domains: hyperbolic vision-language models that address the hierarchical nature of language-vision relationships; hierarchical deep learning using hyperbolic embeddings that naturally accommodate exponential growth patterns; and robust deep learning in hyperbolic space that improves out-of-distribution detection and network resilience. Mettes has established himself as a leading figure in this emerging field through numerous publications at top-tier conferences including CVPR, ICCV, ICML, NeurIPS, and ICLR. His recent work demonstrates how hyperbolic geometry provides natural solutions to fundamental limitations in modern deep learning, particularly regarding hierarchical data structures that cannot be adequately represented in Euclidean space. The publication trends show increasing impact and recognition in the computer vision and machine learning communities, with multiple papers receiving oral presentations and best paper nominations. Best paper nomination ESWC25 for 'Designing Hierarchies for Optimal Hyperbolic Embedding' Finalist MM 2023 Best Open-Source Software Competition (for HypLL) Multiple reviewer awards across major conferences including CVPR, ICLR, ECCV, ICML, and NeurIPS MM 2016 Best Doctoral Student Award TRECVID 2015 Winner Multimedia Event Detection Benchmark Mettes actively mentors eight PhD students working on hyperbolic learning and related topics, while also securing significant research funding including ELLIs PhD Award, NWO ClickNL, Google Perception Academic Funding, and Data Science Centre PhD Grants. He serves in prominent academic roles as Program Chair for International Conference on Multimedia Retrieval 2026 and has organized multiple workshops on hyperbolic learning at major conferences. His leadership in establishing hyperbolic deep learning as a recognized research direction is evident through his survey paper in IJCV 2024 and the development of the HypLL library for hyperbolic learning.

Magnus Bakke BotnanView profile

Assistant Professor

• Topological Data Analysis
• Representation Theory of Quivers
• Computational Topology
• +3 more

Magnus Bakke Botnan is an Assistant Professor at the Department of Mathematics, Vrije Universiteit Amsterdam, holding a VIDI career grant (€850,000) since 2018. His research bridges pure and applied mathematics within topological data analysis (TDA), focusing on multiparameter persistence, computational topology, and applications to sciences. PhD in Mathematics, Norwegian University of Science and Technology (NTNU), 2015 Postdoc at TU Munich, 2016-2018 His research group includes postdocs Hannah Rocio Santa Cruz Baur and Rui Dong, and PhD student Enes Devecioğlu. Recent work involves signed barcodes, rank decompositions, and stability of persistence modules. He co-authored the first comprehensive tutorial on multiparameter persistence with Mike Lesnick. Notable contributions include proving the NP-hardness of computing interleaving distance, establishing universality of bottleneck distance for extended persistence diagrams, and developing computational methods for non-branching complexes. Publications span journals like Foundations of Computational Mathematics , Discrete & Computational Geometry , and conferences SoCG, NeurIPS, and ICRA. Scientific Awards: VIDI Career Grant (€850,000) He has taught courses including Complex Analysis, Calculus, Topological Data Analysis, and seminars on analysis and dynamical systems. Actively organizes Applied Topology Days and collaborates on projects integrating TDA with physics, computer science, and statistics.

Jacob KrügerView profile

Assistant Professor

• Software Engineering
• Software Evolution
• Variant-Rich Systems
• +5 more

Jacob Krüger is an Assistant Professor at Eindhoven University of Technology , specializing in the development and evolution of variant-rich software systems. He holds a PhD from Otto-von-Guericke University Magdeburg (2021) and has held academic and research positions at institutions including Ruhr-University Bochum, Chalmers University of Technology, and the University of Toronto. His research focuses on the interplay between human cognition and software quality, particularly in complex systems requiring frequent adaptation. Education: PhD in Computer Science, Otto-von-Guericke University Magdeburg (2021) MSc Business Informatics, Otto-von-Guericke University Magdeburg (2016) Research Interests: Variant-Rich Systems Program Comprehension Software Product Lines Human Factors in Software Engineering Architecture Smells and Quality Assurance Articles Trends: Recent work emphasizes fork ecosystem visualization (VisFork tool), the impact of AI on scientific practices, and crisis-driven software development (e.g., Corona-Warn-App). Key themes include empirical studies, tool development, and industry collaboration. Awards: Best Dissertation Award (2022) Frank Anger Memorial Award (2019) Multiple conference best-paper and review awards Advising & Grants: Supervises 12+ PhD students across multiple institutions. Active in funding projects like INKleSS (German Research Foundation) and FOSD Meeting 2024 (NWO). Leads collaborations with ASML, Danfoss, and Axis AB. Labs/Teams: Member of the Software Engineering and Technology (SET) group at TU Eindhoven, focusing on industrial-strength software systems and cognitive aspects of development.

Sible AndringaView profile

Professor

• Second Language Acquisition
• Bilingualism
• Language Pedagogy
• +5 more

Sible Andringa is Professor of Second Language Pedagogy at the University of Amsterdam's Faculty of Humanities, officially inaugurated on June 16, 2023. Dr. Andringa serves as Academic Director of the Institute for Dutch Language Education (INTT), Coordinator of the Language Learning, Literacy and Multilingualism research group, and Coordinator of the Master's program in Dutch as a Second Language and Multilingualism. Dr. Andringa's research focuses on second language acquisition and bilingualism, specifically investigating the added value of explicit instruction, how input distribution affects language learning outcomes, and the role of awareness in language learning trajectories. Key ongoing projects include the Meta-LLL project examining how literacy shapes language learning, the SLA4All initiative for reproducing SLA research with non-academic samples, and the OASIS project creating accessible research summaries for practitioners. Previously, Dr. Andringa led Project MIND studying bilingual daycare effects and contributed to the Stilis project on listening proficiency. As General Editor of the Dutch Journal of Applied Linguistics (DuJAL), Dr. Andringa promotes open science principles in language research. Recent publications demonstrate a focus on addressing sampling biases in SLA research, open access publishing ethics, and practical applications of language acquisition research for educational settings. Academic Director, Institute for Dutch Language Education (INTT) Coordinator, Language Learning, Literacy and Multilingualism research group Coordinator, Master's program Dutch as a Second Language and Multilingualism General Editor, Dutch Journal of Applied Linguistics (DuJAL) Member, Mastery Team for Modern Foreign Languages Member, OASIS project team Member, IRIS database advisory group Dr. Andringa supervises PhD candidates including Kyra Hanekamp and Darlene Keydeniers, particularly in research related to bilingual daycare environments and language development. The research program has received funding from the Dutch ministry of Social Affairs for Project MIND and continues to secure support for ongoing projects examining language learning mechanisms. Dr. Andringa leads the Language Learning, Literacy, and Multilingualism research group which investigates language and literacy acquisition across the lifespan, with emphasis on how language skills are learned, maintained, and used in educational contexts. The group meets weekly to discuss projects, plans, funding opportunities, and research topics while promoting collaboration, methodological innovation, and open science principles.

Dimitra DritsaView profile

Researcher

• Urban Health
• Human-Computer Interaction
• Remote Patient Monitoring
• +4 more

Dimitra Dritsa is a Postdoctoral Researcher in the Department of Industrial Design at Eindhoven University of Technology (TU/e), specializing in human-computer interaction applied to urban health, physiological data analysis, and remote patient monitoring systems. Her work bridges design research with healthcare innovation, particularly in cancer surgery prehabilitation and wellbeing technologies. Her academic foundation includes a Master's degree from Delft University of Technology and a PhD from the University of Technology Sydney, where her dissertation focused on Spatiotemporal dynamics of urban health: Physiological data driven strategies for enhancing urban health and wellbeing . Dr. Dritsa's research centers on leveraging physiological data and AI to improve urban health outcomes and clinical interventions. She investigates user-centered design for telemonitoring systems, uncertainty-aware data visualization in design processes, and experience sampling methods for office wellbeing. Her work emphasizes contextual data integration and ethical AI applications in healthcare settings. Recent publications (2023-2025) reveal a clear trajectory toward human-AI collaboration in health contexts, with significant contributions to remote patient monitoring frameworks and data-driven design methodologies. Key themes include physiological response tracking in urban environments, AI-guided wellbeing interventions, and multidimensional data exploration tools for design researchers. She actively contributes to the STRAP project ( Self Tracking for Prevention and diagnosis of heart disease , 2020-2025) as a core project member, focusing on big data solutions and AI-driven healthcare innovations. Her supervisory role includes guidance for two students as indicated in institutional records, and she teaches the course Making sense of sensors since 2016.

• Health Communication
• Digital Health
• AI
• +7 more

Prof. Julia van Weert is a Professor of Health Communication at the Faculty of Social and Behavioural Sciences of the University of Amsterdam. Her research focuses on improving patient-provider communication through digital health interventions, shared decision-making processes, and health equity. Specializing in areas such as AI applications in healthcare, cancer care communication, and falls prevention in older adults, her work bridges communication science with practical healthcare challenges. She leads projects like the SNOWDROP initiative, which uses big data to empower seniors in managing medication-related fall risks. Her studies frequently address barriers to effective communication in multicultural healthcare settings and the impact of online health information on patient outcomes. Key collaborations include work with Amsterdam UMC and ASCoR, emphasizing user-centered design for clinical decision support systems. Her expertise spans health literacy, pandemic communication during crises, and the role of mental wellbeing in health messaging. Notable projects include systematic reviews on decision aids for older adults and longitudinal studies on media consumption patterns during the COVID-19 pandemic. Prof van Weert’s research integrates qualitative and quantitative methods, often involving cross-disciplinary teams to address complex healthcare communication challenges. She has contributed to the development of clinical tools like the ADFICE_IT system for deprescribing fall-risk drugs and the Online Value Clarification Tool for early-phase clinical trials. Her work emphasizes translating academic findings into actionable strategies for improving healthcare delivery and patient empowerment across diverse populations.

• Instructional Technology
• Computer-Supported Collaborative Learning
• Technology-Enhanced Learning
• +7 more

Hannie A. Gijlers is an Associate Professor at the Digital Society Institute, affiliated with the Department of Instructional Technology in the Faculty of Behavioral, Management and Social Sciences at the University of Twente. Her work bridges technology and education, focusing on innovative learning environments and collaborative processes. Academic Rank: Associate Professor Institution: University of Twente Research Institute: Digital Society Institute Department: Instructional Technology Her research interests center on computer-supported collaborative learning (CSCL) , technology-enhanced STEM education , inquiry-based learning , and the role of emotions and feedback in learning. She investigates how digital tools and agent-facilitated environments support students and teachers in collaborative settings, often through cross-cultural comparisons. Her work integrates physiological and gaze-based data to understand implicit learner emotions, pushing the boundaries of learning analytics. The recent publications (2021–2024) reveal a strong focus on teacher guidance models , gamified STEM apps , clinical reasoning in medical education , and climate change literacy . These works span disciplines including educational psychology, computer science, and environmental education, indicating interdisciplinary collaboration. Keywords across these articles include collaborative learning, emotion detection, technology integration, and cross-cultural studies, reflecting a consistent research trajectory in digital pedagogy and learner support. While no specific awards are listed in the provided text, her sustained publication record in high-impact venues and leadership in collaborative research projects suggest recognition within the academic community. Hannie Gijlers actively supervises research, as evidenced by co-authored works with junior researchers and contributions to practitioner research models. Her involvement in datasets and conference presentations indicates ongoing grant-funded or institutionally supported research activities. She has contributed to both theoretical frameworks (e.g., four-phase mentorship model) and applied tools (e.g., Science Chaser app), demonstrating a balance between scholarship and practical innovation. She is part of a vibrant research network at the University of Twente, collaborating with scholars like T.H.S. Eysink, A.W. Lazonder, and N. Janssen. Her team explores agent-facilitated learning, gamification in STEM, and teacher development, often in international collaborations (e.g., Dutch-Finnish studies). These efforts are supported by digital infrastructure and interdisciplinary datasets, positioning her at the forefront of digital society research in education.

• Tomography
• Computational Imaging
• Computer Science
• +5 more

Joost Batenburg is a Professor at Leiden Institute of Advanced Computer Science (LIACS) , with a chair in Imaging and Visualization . He is affiliated with the Centrum Wiskunde & Informatica (CWI) and serves as Program Director for the interdisciplinary Society, Artificial Intelligence and Life Sciences (SAILS) initiative. His research focuses on tomographic image processing and reconstruction , where he has published over 80 journal articles and 60 conference papers. Current projects include Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA) and Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX) , both funded by NWO grants. He leads the FleX-Ray Lab , a custom CT system integrated with advanced data processing algorithms. His research spans discrete tomography , real-time imaging pipelines , and AI-enhanced reconstruction methods , with applications in industrial inspection, agricultural analysis, and cultural heritage conservation. Recent articles demonstrate novel approaches to: Single-shot dynamic object tomography using level-set methods and motion modeling X-ray scattering quantification for defect detection in real-time systems Cross-modal image registration between CT scans and physical photographs Auto-differentiation in CT workflows combining classical and machine learning algorithms Scientific Awards: Dutch Award for ICT Research (2018) C.J. Kok Prize (2007) Philips Mathematics Prize (2006) He has supervised numerous PhD candidates including Mary Go, Eani Lachmansingh, and Zhichao Zhong, while maintaining editorial roles at IEEE Transactions on Computational Imaging and Journal of Mathematical Imaging and Vision . His work bridges theoretical mathematics with practical applications in agriculture, industry, and art conservation.

• Creative Processes
• Design Facilitation
• Creative Problem Solving
• +6 more

Katrina Heijne is a researcher and educator at the Faculty of Industrial Design Engineering (IDE), Delft University of Technology, where she is affiliated with the Department of Design, Organisation and Strategy and the Creative Processes group. She actively contributes to teaching courses such as Creative Facilitation and Deliberate Creativity, and is involved in the Connected Creativity Minor & Lab. Her research focuses on creative processes, including visual thinking, idea generation techniques, co-design, and group facilitation in design contexts. She explores how structured methodologies can enhance creativity in both individual and collaborative settings, particularly in urban design and educational environments. The recent publications of Katrina Heijne reflect a consistent focus on creativity support tools, ranging from AI as an inspiration source to systematic roadmaps for creative problem solving. Her work bridges design theory and practical facilitation, emphasizing evidence-based approaches to creativity. She was nominated for the TU Delft Education Team Award in 2024 for her contributions to the Connected Creativity initiative. Katrina also serves as an advisor/consultant for SeriousCreativity, applying her academic expertise in real-world innovation settings. She has co-authored multiple publications on creative methodologies and is actively engaged in research projects such as U_CODE - Urban Collective Design Environment, which investigates collaborative urban design processes.

Seyed Hadi MirvahediView profile

Assistant Professor

• Critical Sociolinguistics
• Sociology of Language
• Language Policy
• +7 more

Seyed Hadi Mirvahedi is an Assistant Professor in the Faculty of Arts at the University of Groningen, specializing in Critical Sociolinguistics and Language Policy. He holds a PhD in Applied Linguistics from Victoria University of Wellington (2014), followed by postdoctoral research at Nanyang Technological University (2017–2019) and the University of Oslo (2020–2023). His research focuses on multilingualism in globalized contexts, exploring family language policies, sociolinguistic ideologies, and the intersection of language with race, policy, and identity. Notable projects include studies on Afghan refugee families in Norway, Malay families in Singapore, and transnational families in Italy/China and India/Iran. Teaching includes undergraduate and graduate courses in sociolinguistics, multilingualism, and language policy within the Minorities & Multilingualism program. He supervises BA/MA theses on topics like language maintenance, education, and policy implementation. Publications span peer-reviewed journals (e.g., International Journal of Bilingualism , Language Policy ) and edited volumes, addressing themes such as demographic agency in family language policy, raciolinguistics in refugee contexts, and transnational language practices. His work integrates ethnographic methods with sociological theory to analyze multilingualism at micro- and macro-scales. Current research emphasizes phenomenological approaches to race and language in refugee families, as well as the role of demographic factors in family language decision-making. He advocates for interdisciplinary frameworks to understand language policies' real-world impacts in diverse settings.

• Multimedia Modeling
• Machine Learning
• Computer Vision
• +7 more

Dr. Stevan Rudinac is a Researcher at the University of Amsterdam's Faculty of Economics and Business , Section Business Analytics . His work focuses on interactive learning systems and multimodal data analysis, particularly in urban contexts and multimedia modeling. Education: PhD in Multimedia and Information Retrieval from Delft University of Technology (2013). Research Interests: Stevan specializes in multimedia modeling , hypergraph learning , and interactive video search . He develops frameworks for scalable analysis of social networks, urban imagery, and large multimodal datasets, bridging machine learning with practical applications in city planning and financial social media. Recent Trends: His 2024-2025 publications highlight large language model optimization , diffusion model evaluation , and dynamic graph embedding for meme stocks. Collaborative projects include the CASTLE 2024 dataset and Exquisitor , a system for 100 million image exploration. Labs & Teams: He contributes to the Business Analytics group at UvA, collaborating with Prof. Marcel Worring and Dr. Björn Þór Jónsson. He co-organized the UrbanMM'21 workshop and participates in ACM Multimedia and MMM conferences.

Magnus BotnanView profile

Assistant Professor

• Topological Data Analysis
• Representation Theory of Quivers
• Computational Topology
• +3 more

Magnus Botnan is an Assistant Professor at the Department of Mathematics, Vrije Universiteit (VU) Amsterdam. He held a tenure-track position from 2018-2022, was a postdoc at TU Munich (2016-2018) under Ulrich Bauer, and earned his PhD at NTNU in 2015 under Nils A. Baas. His research spans topological data analysis, bridging pure mathematics (representation theory of quivers) with computational and applied aspects (persistent homology, data signatures). Education: PhD in Mathematics at Norwegian University of Science and Technology (NTNU) Research Grants: VIDI career grant (€850,000) Research Collaborations: with Mike Lesnick, Ulrich Bauer, S. Oppermann, and S. Oudot His recent work includes extremal Betti numbers, bottleneck stability, and signed barcodes for multiparameter persistence. He co-organized applied topology meetings in the Netherlands and supervises graduate students in computational topology. Key scientific contributions: Advances in Mathematics Journal of Applied and Computational Topology SoCG conference proceedings He teaches courses such as Calculus 2, Complex Analysis, and Topological Data Analysis at VU Amsterdam and Mastermath, with past courses in Differential Equations, Linear Algebra, and Modelling of Dynamical Systems.

Lia VoermanView profile

Lecturer

• Didactics
• Teacher Feedback
• High Expectations in Education
• +5 more

Lia Voerman is a Lecturer in Didactics of High Expectations at the Knowledge Center for Talent Development at Rotterdam University of Applied Sciences since June 1, 2020. She holds a doctorate from Utrecht University (2014) with a thesis on teacher feedback in the classroom. Her research focuses on didactics, specifically how teachers can stimulate learning through activating interaction, questioning techniques, and effective feedback. She explores how teacher expectations influence student learning, motivation, and opportunities, with particular attention to educational equity and reducing achievement gaps. Her work examines how teachers communicate expectations through their behavior and how this affects students from diverse backgrounds. Her publications and research consistently address the practical application of educational theory, particularly through her development of Didactic Coaching. Her recent work has focused on high expectations in the classroom, the Pygmalion effect, and effective teaching strategies for online environments. Scientific Awards: Audience Award at the NRO-VOR Practice Award (2016) for 'Didactic Coaching' book co-authored with Frans Faber Lia Voerman advises teachers on implementing effective didactic approaches through her own company and serves as chairman of the Didactic Coaching Foundation. She also holds an advisory appointment at Utrecht University. Her inaugural lecture on October 7, 2021 focused on how teachers communicate expectations to students and how this influences learning outcomes. She leads research projects including 'Building Self-Regulated Learning Together (MOZAIC)' and has developed approaches to help teachers foster critical thinking in students through strategic questioning and specific feedback rather than general praise.