teaching

Current Courses

Previous Courses

  • Knowledge Representation and Reasoning 2019-2021, Master of AI, Vrije Universiteit Amsterdam (together with Frank van Harmelen (2019) and Stefan Schlobach (2020-2021))
  • Combining Symbolic and Statistical Methods in AI 2018-2020, MAaster of AI, University of Amsterdam and Vrije Universiteit Amsterdam (together with Frank van Harmelen and Annette ten Teije)
  • Ethics of Hybrid Intelligence, 2021, Master of AI, Vrije Universiteit Amsterdam (together with Alessandra Palmigiano)
  • Integrating Learning and Reasoning, 2021, SIKS course (PhD level) ran across all the Hybrid Intelligence participant universities (i.e., Universities of Amsterdam, VU, TU-Delft, Leiden, Utrecht, Twente) along with Frank van Harmelen and Annette ten Teije.
  • Ethics in Business, 2021, Vrije Universiteit Amsterdam, Master of Business Administration, (together with Guiseppe Greco, Alessandra Palmigiano and Apostolos Tzimoulis)

PhD Students

Nicole Orzan (left) co-supervised by Davide Grossi (RUG/ILLC) and Eliseo Ferante (VU), Andreas Sauter (middle) co-supervised by Frank van Harmelen (VU) and Aske Plaat (LU), Philip Wozny (Deloitte, TU) co-supervised by Albert Bomer (TU and VU), below and their projects below respectively.
  • Communication and Background Knowledge in Multi-Agent Systems Nicole Orzan
    (keywords: Neurosymbolic AI, Multiagent Systems, Reinforcement Learning)
  • Causal Reinforcement Learning and Reasoning Andreas Sauter
    (keywords: Neuro-Symbolic AI, Causality, Reinforcement Learning)
  • Multi-Agent Reinforcement Learning for the Equitable and Sustainable Tax Policy Design
    Philip Wozny (keywords: Multiagent Systems, Reinforcement Learning, Taxation, Sustainability)

Masters Students

  • Causal Discovery and Identification in Credit Default Swap Sebastian Badea (Master of Data Science) co-supervised by Sumit Sourabh (ING)
  • Advanced Communication Surveillance in Monitoring against Market Abuse Huguette Veenstra (Master of Data Science) co-supervised with Fieke Fillekes and Lex Wagenaar (Van Lanschot Kempen)
  • A neurosymbolic Approach for Identification of Illegal Payment Activity Ana Chaloska (Master of Data Science) co-supervised by Ryan Chaves (Mollie)
  • Structured Feature Learning for Fraud Detection Catayoun Azarm (Master of Data Science) co-supervised by Slava Sazanaou (ING) and Floris den Hengst (ING/VU)
  • Graph Neural Networks for Fraud Detection in Banking Yunxiang Li (Master of Data Science) co-supervised by Floris den Hengst (ING/VU)
  • Teaching Logic to Transformers (Exact title TBD ) Anne Langedijk (Master of AI) co-supervised by Jelle Zuidema (ILLC)
  • Box Embeddings for Description Logics (Exact title TBD) Simone Astarita (Master of Logic) co-supervised by Jelle Zuidema (ILLC)

Alumni

Former PhD Students

Former Masters Students and Their Theses

  • Neurosymbolic Reinforecement Learning for Sepsis and Emergency, Raj Bhalwankar (Master of AI, 2022) Philips Research Intern, co-supervised by Rim Heloui (Philips)

  • Learning to Cooperate with Human Evaluative Feedback and Demonstrations, Mehul Verma (Master of AI, VU 2022)

  • Learning About Causal Discovery in Reinforcement Learning, Andreas Sauter, Andreas Sauter (Master of AI, VU 2021)

  • Fair Machine Learning through Causality: a Study on the Dutch Secondary Education Selection, Iris Boeters (Master of Brain and Cognitives Sciences, UvA, 2021) co-supervised by Frank Pijpers (CBS)

  • Semantically Guided Compression in Neural Networks, Hristo Petkov, Hristo Petkov (Master of AI, UvA 2021) co-supervised by Maarten Stol (Brain Creators)

  • Feature Contribution Analysis in Object Classification using Hyperbolic Poincare Embeddings, Julian Schoep (Master of AI, VU and UvA, 2020) co-supervised by Nanne van Noord (UvA)

  • Differentiable Fuzzy Logics: Integrated Learning and Reasoning using Gradient Descent, Emile van Krieken (Master of AI, UvA and VU, 2019), co-supervised by Frank van Harmelen (VU)

  • Preferential Default Reasoning on the Semantic Web, Rafael Kiesel (Master of AI, VU 2018), co-supervised by Stefan Schlobach