Brief Bio

I am a PhD student in machine learning at the eXascale Infolab, supervised by Julien Audiffren and Philippe Cudré-Mauroux. My research mainly focuses on Large Language Models, with a particular interest in evaluation methods and their handling of structured data. I obtained my M.Sc. in Computer Science from the University of Fribourg, where my thesis on graph neural networks, “Evaluating Link Prediction for Emerging Nodes in Dynamic Networks” was supervised by Mourad Khayati. I further hold an M.A. in Legal Studies and a B.Sc. in Computer Science with a minor in Philosophy.

During my studies, I worked as a research assistant at the Human-IST Institute, focusing on data visualization and explainable machine learning. Prior to this, I worked as a software developer in industry and as a teaching assistant for various undergraduate courses (Robotics, Concurrent and Distributed Computing, Scientific Programming).

Publications

  1. Manuel Mondal, Mourad Khayati, Hông-Ân Sandlin, and Philippe Cudré-Mauroux. “A Survey of Multimodal Event Detection Based on Data Fusion.” VLDB J. 34, no. 1 (2025): 9. Bibtex PDF
  2. Manuel Mondal, Julien Audiffren, Ljiljana Dolomic, Gérôme Bovet, and Phillipe Cudré-Mauroux. “Cleaning Semi-Structured Errors in Open Data Using Large Language Models.” In Swiss Conference on Data Science (SDS), 2024. Bibtex PDF