Jos De Brabanter was born in Ninove Belgium on January the 11th 1957. He received a degree in Electronic Engineering (VUB) in 1990, Safety Engineer (VUB) in 1992, Master of Environment, Human Ecology (VUB) in 1993, Master in Artificial Intelligence (KU Leuven) in 1996, Master of Statistics (KU Leuven) in 1997 and a Ph.D. degree in Applied Sciences (KU Leuven) in 2004.
He is a professor at the Department of Electrical Engineering (ESAT) at KU Leuven in the research group ESAT-STADIUS (https://www.esat.kuleuven.be/stadius/). His research interest is Artificial Intelligence: Statistics and Machine Learning, areas in which he has several research papers (consult Lirias KU Leuven http://lirias.kuleuven.be/cv?Username=U0033544). He is also co-author of the book “Least Squares Support Vector Machines” (World Scientific, 2002), the Matlab/C toolbox LS-SVMlab and the Toolbox User’s Guide (version 1.8) (https://www.esat.kuleuven.be/sista/lssvmlab/).
He has served as a (Co)organizer of the Workshops: (i) Modern Nonparametric Methods for Time Series, Reliability & Optimization (2012) (http://homes.esat.kuleuven.be/~sistawww/mnm/index.php) and (ii) New developments in statistics: Massive (Big) Data a challenge or a Curse for Statistics? (2018) (https://homes.esat.kuleuven.be/~sistawww/ndis/)
He was a member of the Editorial Board of:
– Advances in Statistics (http://www.hindawi.com/journals/as/editors/).
– Journal of Applied Mathematics (http://www.hindawi.com/journals/jam/editors/).
– The Scientific World Journal (Probability and Statistics subject area) (http://www.hindawi.com/journals/tswj/editors/probability.statistics/).
– American Journal of Applied Mathematics and Statistics (http://www.sciepub.com/journal/AJAMS/editorialboard).
– American Journal of Data Mining and Knowledge Discovery (http://www.ajdmkd.org).