Faculty

Peter Bloem

assistant professor
  • machine learning
  • information theory
  • minimum description length

Frank van Harmelen

professor
  • knowledge representation
  • neuro-symbolic AI
  • semantic web

Filip Ilievski

assistant professor
  • commonsense reasoning
  • analogy
  • human-centric AI

Emile van Krieken

assistant professor
  • neurosymbolic learning
  • commonsense reasoning
  • generative modeling

Annette ten Teije

professor
  • approximate reasoning
  • formalisation of medical knowledge
  • diagnosis

Postdocs

Stefano De Giorgis

postdoc
  • embodied cognition
  • frame semantics

Floris den Hengst

researcher
  • reinforcement learning
  • goal specification
  • alignment

PhD students

Ruud van Bakel

PhD student
  • Massive Graphs
  • Scalability
  • Graph Embeddings
  • Machine Learning
  • Neuro-symbolic AI

Johannes Bendler

PhD student
  • Neurosymbolic AI
  • Knowledge Representation
  • Automated Reasoning
  • Hybrid AI

Gabriella Bollici

PhD student
  • Multimodality
  • Computational Social Science
  • Information Modeling

Yannick Brunink

PhD student
  • Probabilistic Databases
  • Complex Logical Query Answering
  • Knowledge Graph Embeddings
  • Neuro-symbolic AI

Ting-Chih Chen

PhD student
  • Multimodal learning
  • Embodied AI
  • LVLM

Chao Gao

  • Knowledge and AI
  • Neural Networks Framework
  • Medical & CS

Shaurya Gaur

PhD student
  • software architecture
  • human-centric AI

Chaohui Guo

PhD student
  • Chatbots

Fabian Hoppe

PhD student
  • neuro-symbolic AI
  • language modelling
  • knowledge graphs

Mohammadhossein Khojasteh

PhD student
  • neuro-symbolic AI
  • rule-based reasoning

Taewoon Kim

  • reinforcement learning
  • knowledge graphs
  • memory

Federica Kulka

PhD student
  • Neuro-symbolic AI
  • World Models
  • Multimodality
  • Reinforcement Learning

Andreas Sauter

PhD student
  • causality
  • reinforcement Learning

Maarten Stol

  • neurosymbolic AI
  • logical expressivity
  • benchmark design

Romy Vos

  • neurosymbolic AI
  • drug safety
  • machine learning on knowledge graphs

Taraneh Younesian

PhD student
  • machine learning on graphs
  • explainability
  • scalability

Guests

Michael Cochez

assistant professor
  • approximate reasoning
  • formalisation of medical knowledge
  • diagnosis

Giulia Coucourde

  • Neuro-symbolic AI
  • Large Language Models
  • Knowledge Graphs
  • User Modeling

Zhisheng Huang

Erkan Karabulut

PhD student

Ali Khalili

Tom Pelletreau Duris

PhD student
  • Graph Machine Learning
  • Explainability
  • Knowledge graphs

Andrea Rafanelli

  • neuro-symbolic AI
  • machine learning
  • agent-based systems

Thiviyan Thanapalasingam

Alumni