Balázs Csanád Csáji
Balázs Csanád Csáji is a Senior Research Fellow at MTA SZTAKI, The Institute for Computer Science and Control of the Hungarian Academy of Sciences, Budapest, Hungary. He defended his Ph.D. in Computer Science (2008) at the Eötvös Loránd University (ELTE), Budapest, Hungary. Previously, he received Master’s degrees in Computer Science combined with Mathematics (2001) as well as in Philosophy (2006), also from ELTE. During his studies he spent semesters and internships at the Eindhoven University of Technology, Netherlands (2001), British Telecom, UK (2002), and Johannes Kepler University, Austria (2003).
Dr. Csáji was a Postdoctoral Researcher at the Université catholique de Louvain, Belgium (2008-2009), and a Research Fellow at the University of Melbourne, Australia (2009-2012). He has received a number of awards for his achievements including the Discovery Early Career Researcher Award (DECRA) of the Australian Research Council (ARC) and the Béla Gyires Prize of the Hungarian Academy of Sciences.
His main research interests include stochastic models and statistical problems in machine learning and system identification as well as their industrial applications.
More informnation: http://www.sztaki.mta.hu/~csaji/
Important publications
★ Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations
Publication date2019★ Asymptotic Analysis of the LMS Algorithm with Momentum
Publication date2018★ Towards D-Optimal Input Design for Finite-Sample System Identification
Publication date2018★ Undermodelling Detection with Sign-Perturbed Sums
Publication date2017★ Asymptotic properties of SPS confidence regions
Publication date2017★ Intelligent control for energy-positive street lighting
Publication date2016★ Closed-Loop Applicability of the Sign-Perturbed Sums Method
Publication date2015