Andreas Pester graduated in mathematics from Odessa State University in 1976, he got his PhD from Kiev State University in 1979 and he habilitated at the University of Technology Dresden in 1984. 2020 he retired from the University of Applied Sciences in Carinthia in Austria. Currently he is a professor for machine and deep learning at the British University in Egypt in Sherouk and a lecturer for deep learning at the Carinthian University of Applied Sciences, Austria.

He is the author and co-author of more than 75 publications.

He was a guest professor at the UPC Barcelona, Technical University Porto, Technical Universities of Kharkov, Technical University Kiev, Polytechnic University St. Petersburg, State University of Petrozavodsk, BTH Karlskrona, University Maribor, UNESP Bauru (Brazil), AUA Erivan and others.

Was and is involved in more than 20 EU- and national projects (as project leader or as collaborator), including Erasmus +, TEMPUS, MINERVA etc.

His research interests had been in online simulations, in the last six years he concentrates on deep learning, especial GAN architectures and mood data analysis.

He was a co-organizer of the IEEE Global Engineering Education Conference (EDUCON’21), Interactive Collaborative and Blended Learning (ICBL) conferences from 2008 – 2019, and is member of the PC of several other conferences etc.