Balázs Csanád Csáji, Ph.D.

Balázs Csanád Csáji is a senior researcher at the Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN) and also a (part-time) adjunct professor at the Department of Probability Theory and Statistics, Institute of Mathematics, Eötvös Loránd University (ELTE). He holds an M.Sc. in Computer Science combined with Mathematics (2001), an M.A. in Philosophy (2006), and a Ph.D. in Computer Science (2009), all awarded by ELTE. His M.Sc. thesis on approximation with artificial neural networks received 1000+ independent citations. He spent semesters and internships with the Eindhoven University of Technology (Netherlands, 2001), British Telecom (UK, 2002), and Johannes Kepler University (Austria, 2003). Dr. Csáji was a Post-Doctoral Researcher with the Université catholique de Louvain (Belgium, 2009), and a Research Fellow with the University of Melbourne (Australia, 2009-2012). He received a number of awards for his achievements, including the Discovery Early Career Researcher Award of the Australian Research Council and the Béla Gyires Prize of the Section of Mathematics, Hungarian Academy of Sciences. His research interests include machine learning, system identification, control theory, and statistics.

More informnation: https://csaji.pages.sztaki.hu/