Janos Abonyi is a full professor at the Department of Process Engineering at the University of Pannonia in computer science and chemical engineering. He received MEng and PhD degrees in chemical engineering in 1997 and 2000 from the University of Veszprem, Hungary. In 2008, he earned his Habilitation in the field of Process Engineering, and the DSc degree from the Hungarian Academy of Sciences in 2011. In the period of 1999-2000 he was employed at the Control Laboratory of the Delft University of Technology (in the Netherlands).
Dr. Abonyi has co-authored more than 240 journal papers and chapters in books and has published five research monographs and one Hungarian textbook about data mining.
His research interests include complexity, process engineering, quality engineering, data mining and business process redesign.
Barbara Farsang - data reconciliation
Tibor Kulcsár, 2017, Data mining specialist and system architect, I-New Unified Mobile Solutions AG,
Laszló Dobos, 2016, Support Engineer, SAP Hungary
Zoltán Bankó, 2016, Development lead, Bosch
Tamas Kenesei, 2015, Modelling and Support Advisor at MOL Group
Tamas Csiszer, 2014, Assistant Professor at EDUTUS College
Andras Kiraly, 2013, Software engineer
Tamas Varga, 2010, Assistant Professor at University of Pannonia
Balazs Balasko, 2009, Application Manager at SABIC Europe, Geleen The Netherlands
Nora Moldovanyi, 2008, Senior APC Engineer, Honeywell
Ferenc Peter Pach, 2008, Lead Data Scientist at Bay Zoltán Nonprofit Ltd. for Applied Research
Balazs Feil, 2006, Controrg, Senior Engineer
Janos Madar, 2005, Controrg, Senior Engineer
Daniel Leitold - networks and complex systems
Tamas Ruppert - Industry 4.0 and big data
Gyula Dorgo - evolutionary optimization and data mining
Piegler Peter -deep learning