Markus Schedl

Markus Schedl is a Full Professor at Johannes Kepler University (JKU) Linz, Austria, leading the Multimedia Mining and Search (MMS) group at the Institute of Computational Perception. He also heads the Human-centered Artificial Intelligence (HCAI) group at the Linz Institute of Technology (LIT) AI Lab. His expertise spans recommender systems, information retrieval, algorithmic fairness, and music technology.

He holds a PhD from JKU and degrees from TU Wien, WU Wien, and the University of Gothenburg. His research focuses on hybrid AI for personalization, ethical AI, and music data mining, with industry collaborations at Siemens, Spotify, and Deezer.

Key projects include the FAME challenge for face-voice association and work on bias mitigation in recommendation systems. He teaches courses such as Introduction to Machine Learning and Multimedia Search at JKU, and has guest-lectured internationally.

Publications emphasize AI ethics, music playlist analysis, and multimodal learning. His work addresses fairness, transparency, and user-centric design in AI systems.