Peter Auer

Peter Auer is a Professor and Chair of Information Technology at Montanuniversität Leoben. His research focuses on machine learning, reinforcement learning, and algorithm design with applications in network optimization, materials science, and industrial processes. He has authored 132 publications and supervised 23 works. Recent activities include invited talks on 'Mathematische Grundlagen der AI' (May 2025) and visiting the Fraunhofer-Institut für Nachrichtentechnik (August 2022). His educational background includes Dipl.-Ing. (Diplom-Ingenieur) and Dr.techn. (Doctor of Technical Sciences) degrees.

Research interests span multi-armed bandits, reinforcement learning theory, and practical implementations in domains like cognitive radio networks and crystal growth simulations. He actively participates in academic collaborations, including the 'MINT@Leoben' outreach program (2021-2022) and international conferences. His work bridges theoretical computer science with real-world engineering challenges.