Staf

Hoogleraren

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

r.babuska@tudelft.nl

Prof.dr. Robert Babuska

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

a.bozzon@tudelft.nl

Prof.dr.ir Alessandro Bozzon

Moral decision making, Autonomous agents, Discrete choice theory

c.g.chorus@tudelft.nl

Prof.dr.ir. Caspar Chorus

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

online@gavrila.net

Prof. Dariu Gavrila

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

c.m.jonker@tudelft.nl

Prof.dr. Catholijn Jonker

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

g.j.t.leus@tudelft.nl

Prof.dr.ir. Geert Leus

Design thinking, design process, design studies, design methods, design theory

p.a.lloyd@tudelft.nl

Prof. dr. Peter Lloyd

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

a.verbraeck@tudelft.nl

Prof.dr.ir. Alexander Verbraeck

Universitair Hoofddocenten

Robotic Building

h.h.bier@tudelft.nl

Dr.-ing. Henriette Bier

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

e.j.l.chappin@tudelft.nl

Dr.ir. Emile Chappin

big data systems, (deep) machine learning, cloud dependability, performance modeling

y.chen-10@tudelt.nl

Dr. Lydia Chen

aerospace, maintenance, manufacturing, monitoring

r.m.groves@tudelft.nl

Dr. Roger Groves

information retrieval, text mining

c.hauff@tudelft.nl

Dr. Claudia Hauff

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

f.a.oliehoek@tudelft.nl

Dr. Frans Oliehoek

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

m.t.j.spaan@tudelft.nl

Dr. Matthijs Spaan

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

M.M.deWeerdt@tudelft.nl

Dr. Mathijs de Weerdt

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

n.yorke-smith@tudelft.nl

Dr. Neil Yorke-Smith

Universitair Docenten

robotics, multi-robot systems, intelligent transportation, planning

j.alonsomora@tudelft.nl

Dr. Javier Alonso-Mora

Discrete choice theory, Machine Learning, Data-driven methods for choice behaviour analysis, Experimental design

s.vancranenburgh@tudelft.nl

Dr.ir. Sander van Cranenburgh

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

c.h.corbato@tudelft.nl

Dr. Carlos Hernandez Corbato

optimization theory in engineering, model-predictive control, fuzzy logic and fuzzy logic control, integrated and multi-level control

A.Jamshidnejad@tudelft.nl

Dr. Anahita Jamshidnejad MSc

Intelligent Vehicles, Autonomous Driving, Supervised Learning, Unsupervised Learning, Probabilistic Graphical Models, Bayesian Inference, Behavior Forecasting, Dynamic Bayesian Networks, Computer Vision, Multi-Modal Sensing

J.F.P.Kooij@tudelft.nl

Dr. Julian Kooij

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

marco.loog@gmail.com