Yusuf Sale, M.Sc.

PhD student, Research assistant

Contact

Ludwig-Maximilians-Universität München
Institute of Informatics
Chair of Artificial Intelligence and Machine Learning
Prof. Dr. Eyke Hüllermeier
Akademiestr.7
80799 München

Room: 110
Phone: +49 (0)89 2180 73449
Email: yusuf.sale@ifi.lmu.de

Research Focus

I am currently working on mathematical and statistical foundations of Uncertainty Quantification and Representation in Artificial Intelligence (AI) and Machine Learning (ML). My research aims at developing reliable and trustworthy AI and ML systems capable of accounting for inherent uncertainties in their predictions, thereby providing more reliable decision-making tools across a broad range of applications.
Moreover, I am interested in generalized notions of probability, which are persuasive in representing uncertainty in ML applications. Since such theories under a generalized notion of probability require proper uncertainty quantification, I am also investigating suitable measures of uncertainty from theoretical and practical perspectives.
I am a member of the Konrad Zuse School of Excellence in Reliable AI (relAI), sponsored by the Federal Ministry of Education and Research.