Sándor Kolumbán works in the Stochastics Section of the Mathematics and Computer Science department where he is involved in a wide range of research involving random phenomena. These includ topics of predictive maintenance, parameter estimation of systems from dynamic data, as well as random network modeling of brain networks.
Sándor Kolumbán received his M.Sc. degrees in applied informatics and in applied mathematics from the Budapest University of Technology and Economics (BME), Hungary in 2009 and 2013 respectively. Since 2009 he was a Ph.D. student at the BME Department of Automation and Applied Informatics and since 2012 he was a research assistant at the same institute. He received his Ph.D. in 2016. As of 2015 he is a post-doc in the Stochastics group of the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e).
Towards D-optimal input design for finite-sample system identification18th IFAC Symposium on System Identification (SYSID 2018) (2018)
Perturbed datasets methods for hypothesis testing and structure of corresponding confidence setsAutomatica (2015)
- Probability and stochastics 2
- Statistical learning theory
- Probability theory
No ancillary activities