The Artificial Intelligence and Data Science division is the largest division of the Information and Computing Sciences department.

Research groups

All groups in the division perform both fundamental and applied research.

AI Technology for Life
Algorithmic Data Analysis
Data Intensive Systems
Intelligent Systems
Natural Language Processing
Responsible AI

The groups have extensive research collaboration within the division, the department, the faculty, the university, nationally, and internationally. The members of the division are teaching in the Bachelor's programmes Artificial Intelligence, Computing Sciences and Information Science, as well as in the Master's programmes Artificial Intelligence, Applied Data Science, Data Science, Computing Science and Human Computer Interaction.

Group Chairs

  • prof. dr. S. (Sanne) Abeln

  • The AI Technology for Life group focuses on developing AI technology to gain understanding of biological systems from high throughput measurements.

  • prof. dr. M.M. (Mehdi) Dastani

  • The Intelligent Systems group conducts research in the area knowledge representation and reasoning with a particular focus on foundational and systematic methodologies to integrate model-driven and data-driven approaches.

  • prof. dr. C.J. (Kees) van Deemter

  • The Natural Language Processing (NLP) group focuses on empirical and theoretical aspects of NLP, covering both symbolic and statistical approaches.

  • prof. dr. A. (Albert) Gatt

  • Natural Language Processing (NLP) group.

  • prof. dr. Massimo Poesio

  • Natural Language Processing (NLP) group.

  • prof. dr. A.P.J.M. (Arno) Siebes

  • The Algorithmic Data Analysis group conducts research in the areas of data mining and machine learning as well as operations research with predictive maintenance as a linking pin.

  • prof. dr. Yannis Velegrakis

  • The Data Intensive Systems group studies issues and copes with challenges related to systems that manage massive volumes of data.

  • prof. dr. Pinar Yolum Birbil

  • The Responsible AI group conducts research on designing and developing AI techniques, tools, and methodologies that enable computational systems to abide by legal, ethical, and social requirements while prioritising humans that will benefit from them.