TU Delft's AI Researchers

Faculty members

Prof.dr.ir. Alexander Verbraeck

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simulation, agent-based models, agent-based simulation, serious gaming, interactive simulation, human behavior modeling

Prof.dr.ir. Caspar Chorus

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Moral decision making, Autonomous agents, Discrete choice theory

Prof.dr. Catholijn Jonker

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decision support systems, automated negotiation, shared mental models, co-active design

Prof. Dariu Gavrila

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intelligent vehicles, autonomous driving, computer vision, sensor fusion, machine learning, vulnerable road user safety

Prof.dr. Frances Brazier

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coordination and collaboration, ad-hoc teamwork, distributed problem solving, agent-based simulation and emergence, metareasoning and metaheuristics, human-computer interaction, user experience and usability, self-organisation

Prof.dr.ir. Geert Leus

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graph signal processing, convolutional neural networks, graphical deep learning, recommender systems, topology identification, semi-supervised learning

Prof.dr.ir. Geert-Jan Houben

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web science, data science

Prof. Gerd Kortuem

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internet of things, design, smart city, intelligent systems, data-centered design

Prof.dr. Richard Curran

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Airports, airlines, planning, scheduling, optimisation, multicriteria decision making, interdisciplinary optimisation

Prof.dr. Robert Babuska

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Reinforcement Learning, Deep Learning/Neural Networks, Clustering, State Estimation, Cognitive Robotics, Motion and Path Planning, Applications of Reinforcement Learning, Applications of Supervised Learning

Dr. Alessandro Bozzon

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Human Computation and AI, Abstraction of Human Computation Tasks into Taxonomies of Mechanisms, Active Learning from Imperfect Human Labelers, Knowledge Representation, Knowledge Acquisition from the Web, AI for Data Analytics, AI for Web-Based Collaboration and Cooperation, Crowdsourcing Techniques and Methodologies, Web Personalization and User Modeling

Dr. Alexei Sharpanskykh

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adaptive resilience, AI in air transport, sociotechnical system modelling, safety and security in air transport applications

Dr. Birna van Riemsdijk

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intimate computing

Dr. Carlos Hernandez Corbato

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robotics, ontologies, Behavior and Control, Cognitive Robotics, Model-Based Reasoning

Dr. Claudia Hauff

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information retrieval, text mining

Dr.-Ing. Jens Kober

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Adaptive Behavior, Social Cognition And Interaction, "Modeling And Control Of Complex High-Dimensional Systems By Combining Physics-Based Models, Model-Based Reasoning, Optimization And Control Methods, And Machine Learning Models Built from Sensor Data", Human-in-the-loop Planning/Learning, Human-Robot/Agent Interaction, Applications of Reinforcement Learning, Applications of Supervised Learning, Deep Learning/Neural Networks, Reinforcement Learning, Sequential Decision Making, Behavior and Control, Cognitive Robotics, Human-Robot Interaction, Motion and Path Planning

Dr.ir. Emile Chappin

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agent-based modelling, energy systems, energy policy, serious gaming, behavior

Dr. Frans Oliehoek

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Reinforcement Learning, Multiagent Learning, Multiagent Planning, Opponent Modeling, Human-Robot/Agent Interaction, Coordination and Collaboration, Probabilistic Planning, Uncertainty in AI, Decision/Utility Theory, Deep Learning/Neural Networks, Bayesian Learning

Dr.-ing. Henriette Bier

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Dr. Huijuan Wang

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AI-networking, social-ware recommender system, social contagion, system control

Dr. Jan Rellermeyer

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Distributed Machine Learning, Machine Learning Systems, Large-Scale AI Systems

Dr. Jan van Gemert

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Computer Vision, Deep Learning

Dr. Javier Alonso-Mora

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robotics, multi-robot systems, intelligent transportation, planning

Dr. Joana Goncalves

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ML: Clustering
ML: Time-Series/Data Streams
MLA: Machine Learning Applications (General)
ML: Machine Learning (General)
APP: Biomedical/Bioinformatics

Dr. Julián Urbano

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Enhancing Web Search and Information Retrieval, Evaluation and Analysis, Multimedia and Multimodal Web Applications

Dr. Lydia Chen

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Dr. Marco Loog

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ML: Semisupervised Learning, ML: Active Learning, ML: Classification, ML: Transfer, Adaptation, Multitask Learning, ML: Learning Theory, RU: Decision/Utility Theory

Dr. Martijn Warnier

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Network Modeling Prediction And Optimization, Modeling And Prediction Of Dynamic And Spatiotemporal Phenomena And Systems, Modeling the Interactions Of Agents With Different And Often Conflicting Interests, Optimality in the Context of Human Computation, Machine Learning Applications (General/other), Agent-Based Simulation and Emergent Behavior, Coordination and Collaboration, Uncertainty in AI (General/Other)

Dr. Mathijs de Weerdt

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Multiagent Planning, Coordination and Collaboration, Mechanism Design, Temporal Planning, Scheduling, Constraint Optimization, Uncertainty in AI

Dr. Matthijs Spaan

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Sequential Decision Making, Markov Models of Environments, Multiagent Planning, Multiagent Learning, Reinforcement Learning

 

 

Dr. Nava Tintarev

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recommender systems, explanations, diversity

Dr. Neil Yorke-Smith

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optimisation, scheduling, constraint optimisation, agent-based simulation, preferences, human-in-the-loop

Dr. Odette Scharenborg

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Natural language understanding and dialogue, Language Acquisition, Cognitive Architectures, Simulating Humans, AI Storytelling, Human Computation and AI, Human-Computer Interaction, Active Learning from Imperfect Human Labelers, Applications of Supervised Learning, Applications of Unsupervised Learning, Humanities, Classification, Clustering, Deep Learning/Neural Networks, Machine Learning, Semisupervised Learning, Human-Robot Interaction, Speech Recognition

Dr. Roger Groves

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aerospace, maintenance, manufacturing, monitoring

Dr. Sicco Verwer

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machine learning, automata, security, optimization

Dr. Stefano Speretta

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Autonomy, Planning

Dr. Thomas Abeel

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Biomedical/Bioinformatics, Classification, Clustering, Data Mining and Knowledge Discovery, Deep Learning/Neural Networks, Dimensionality Reduction/Feature Selection, Ensemble Methods

Dr. Virginia Dignum

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multi agent systems, human-agent interaction, ethics of artificial intelligence, agent based modelling

Dr. Willem-Paul Brinkman

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Conversational agents, Behavior Change support systems, intelligent virtual agents, HAI Human-Computer Interaction, HAI User Experience and Usability; APP Computer-Aided Education, CM Simulating Humans, CS Natural Language understanding and dialogue, HAC Human-Agent Interaction, KRR Belief change, NLPML Discourse and dialogue

Dr. Helle Hvid Hansen

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modal logics, dynamic logics, Markov decision processes, game theory

Prof.dr.ir. Martijn Wisse

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robotics, bayesian inference, prediction error minimization, dynamics

Dr.ir. Cynthia Liem

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AI for Multimedia and Multimodal Web Applications, Recommender Systems, Enhancing Web Search and Information Retrieval, Art and Music, Humanities, Computational Social Science,"Understanding People, Theories, Concepts and Methods", Simulating Humans, Data Mining and Knowledge Discovery

Dr.ir. Chris Verhoeven

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Swarm Robots

Dr. Christoph Lofi

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Knowledge representation, Query processing, Query personalization, Text mining

Dr. Manuel Mazo Espinosa

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Control systems, Formal verification, Cyber-physical systems, Correct-by-design synthesis

Prof. Bart De Schutter

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Multi-agent control, Multi-level control, Large-scale networks, Traffic and transportation, Smart energy systems, Hybrid systems 

Post Docs & PhD candidates

Dr. Aleksander Czechowski

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MAS: Multiagent Planning
PS: Model-Based Reasoning
RU: Sequential Decision Making
GTEP: Coordination and Collaboration

Alexander Mey, MSc

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Semisupervised Learning, Learning Theory, Classification, Statistical Methods and Learning, Probabilistic Inference

Amogh Gudi, MSc

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Human-Computer Interaction, Understanding People, Theories, Concepts and Methods, Applications of Supervised Learning, Applications of Unsupervised Learning, Classification, Deep Learning/Neural Networks, Dimensionality Reduction/Feature Selection, Ensemble Methods, Machine Learning (General/other), Machine Learning Applications (General/other), Semisupervised Learning, Unsupervised Learning (Other), Transfer, Adaptation, Multitask Learning, Weakly Supervised Learning

Nicola Pezzotti, MSc

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Visual Analytics, Manifold Learning, Dimensionality Reduction, Explainable AI

Qin Lin, MSc

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intelligent transportation, cyber physical system security, hybrid system verification, automata

 

 

Thomas Moerland, MSc

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reinforcement learning, sequential decision making, planning, deep learning, Bayesian inference