Jasmin Kareem

Jasmin Kareem

PhD Candidate

  • Research profile: Explaining News Recommendations
  • Research expertise: Explainable Artificial Intelligence (XAI), Recommender Systems, Information Retrieval, Automated Machine Learning (AutoML).


Jasmin Kareem is a PhD candidate at JADS (TU Eindhoven). She obtained her master’s degree in computer science with a specialization in Data Science from Leiden University. For her master’s thesis she worked on making neural network robustness verification more efficient using automated algorithm selection. This initial interest in why neural networks fail in some cases led to her current research on explainable news recommender systems. Within this project, she is interested in studying the explainability of a recommendation from a user’s perspective, as well as developing algorithms that compute explanations. Jasmin’s research is part of the ICAI Responsible Media Lab (REMLab) in collaboration with the University of Amsterdam and DPG Media, where she is supervised by Martijn Willemsen and Maarten de Rijke. In Amsterdam, she is a member of the Information Retrieval Lab (IRLab) and enjoys the benefits of being affiliated with both universities.

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JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.

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