People
Board
Robert Babuska
Advisory Board ELLIS Delft
Reinforcement learning, nonlinear control, data-driven model construction, deep learning
Jens Kober
Advisory Board ELLIS Delft
Motor Skill Learning, Reinforcement Learning, Imitation Learning, Deep Learning, Interactive Learning
Frans A. Oliehoek
Director ELLIS Delft
Interactive learning and decision making, reinforcement-learning, planning and causal models, multiagent learning
Unit coördinator
Taylor Stone
Program and Community Manager, AI Initiative
Faculty
Javier Alonso-Mora
Motion Planning, Multi-robot Systems, Robot Autonomy, Intelligent Transportation, Learning for Coordination and Planning
Charalampos Andriotis
Kim Batselier
Green AI, Tensor networks, Kernel machines, Nonlinear system identification
Wendelin Böhmer
Holger Caesar
Autonomous vehicles, Computer Vision, Active Learning, Sensor Fusion, Datasets
Luciano Cavalcante Siebert
Value alignment, Value estimation, Trustworthy AI, (Inverse) Reinforcement learning
Guido de Croon
Bio-inspired AI for robotics, Neuromorphic sensing and processing, Small autonomous drones
Justin Dauwels
Machine learning, generative AI, prediction, graphical models, autonomous systems
Emir Demirović
Combinatorial optimisaton, Integration of machine learning and optimisation
Charlotte Frenkel
Neuro-AI, Neuromorphic Computing, Spiking Neural Networks, On-Device Learning for Adaptive Edge Computing
Dariu Gavrila
Intelligent Vehicles, Machine Perception
Jan van Gemert
Computer Vision, Automatic Image and Video Recognition, Visual Inductive Learning Priors, Data efficient Deep Learning
Merve Gürel
Trustworthy ML, Adversarial Robustness, Knowledge and Logical Reasoning, Data-centric ML, Active Learning
Claudia Hauff
Hayley Hung
Machine Perception, Multisensor Fusion, Social Signal Processing, Affective Computing
Elvin Isufi
Geometric Deep Learning, Graph-Based Learning, Graph Signal Processing, Recommender Systems
Hadi Jamali-Rad
Deep Learning, Few-Shot Learning, Self-Supervised Learning, Generative AI
Seyran Khademi
Computer vision, Deep learning, Visual place recognition, Image retrieval
Manon Kok
Julian Kooij
Multi-sensor Perception, Machine Learning, Self-driving vehicles, Situation analysis and Prediction, Probabilistic inference, Representation learning, 3D Urban Understanding lab
Jesse Krijthe
Causal inference, Machine learning theory, Philosophy of data science, Health
Luca Laurenti
Safe AI, Probabilistic machine learning, Stochastic control
Anna Lukina
Verification, Monitoring, Safety
Peyman Mohajerin Esfahani
Decision-making under uncertainty, Control and optimization, Reinforcement learning, Anomaly detection in dynamic environments
Julia Olkhovskaya
Sequential Decision Theory, Multi-armed Bandits, Reinforcement learning.
Joana de Pinho Goncalves
Chirag Raman
Multimodal Machine Learning, Deep Representation Learning, Embodied Social Intelligence, Digital Humans
Marcel Reinders
Machine learning, Computational biology, Knowledge-informed machine learning, Bioinformatics, Health analytics
Odette Scharenborg
Inclusive speech technology, Automatic speech recognition, Bias, Fairness, Language technology
Matthijs T.J. Spaan
Safe and robust reinforcement learning, Sequential decision making, Trustworthy AI algorithms
David Tax
Sicco Verwer
Interpretable model learning, Declarative machine learning, State machines, Decision trees, Optimization.
Neil Yorke-Smith
Data-driven optimisation, Agent-based modelling, Reinforcement learningm social simulation
Xucong Zhang
Computer Vision, Gaze Estimation, Human-Computer Interaction, Human digitalization
Alumni
Wiro Niessen
