Members

Head of Research Group

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 250 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.

Detailed CV      Email:  janos@abonyilab.com

Lead researcher in data science and systems engineering

Alex Kummer is a research associate at the Department of Process Engineering at the University of Pannonia. He graduated with bachelor’s (2014), master’s (2016) and PhD (2021) degree in Chemical Engineering. His research interests include process control, process optimization, machine learning and reinforcement learning applications. 

Lead researcher in sustainability 

Viktor Sebestyén is a Senior Researcher at the Sustainability Solutions Research Lab at the University of Pannonia in environmental engineering. He graduated with bachelor's degree in Environmental Engineering (2011), and he has master's degree in Environmental Engineering (2013), Occupational Safety and Health (2016), Noise- and Vibration Control Engineering (2019). He received a PhD degree in Bio, Environmental and Chemical Engineering (2019). His research interest covers a wide spectrum of environmental issues, nevertheless his profession is the data- and model driven decision support of the Sustainable Development Goals.

Attila Ficsor -  graduated with bachelor's (2023) degree in computer science currently pursuing  Master's degree  in Data Science at the University of Pannonia. His research interests span across natural language processing, machine learning, and artificial intelligence. Currently, Attila is involved in research on climate change, sustainability, industrial optimization, and various data visualization projects. 

PhD students

Abdulrahman K. E. Al-Sabaawi - graduated with bachelor's degree B.Eng in Medical Instrumentation Technology Engineering at the Northern Technical University, Iraq in 2011 and his master's degree MSc in Biomedical Engineering at the University of Strathclyde, UK in 2015. He is a PhD student at the Department of Processing Engineering/University of Pannonia through the Stipendium Hungaricum Scholarship. His main PhD research field is in human intention recognition and Bio-signal processing.

Andras Racz-Szabo - graduated with bachelor's (2014) degree in Transportation Engineering and master's (2016) degree in Logistics Engineering at the Budapest University of Technology and Economics. His research interested covers the areas of Process Mining algorithms, Discrete-event simulators, Neural networks and Supply chain management. His current research focuses on Development of Machine Learning, Process Modeling and Optimization Algorithms for Supporting Industry 4.0.

Detailed CV

László Bántay - graduated with master's degree in chemical engineering at the University of Veszprem in 2010. He has been working for nine years at Chemark Ltd. in different roles, mainly in the product management area. His research interest covers the areas of event analysis and data science applications in Process Mining. His current research focuses on Process Mining and XES standardization of industrial log files, including alarm management.

Tamás Kegyes - graduated with master's degree in mathematics at the Budapest University of Technology and Economics (2005) and also master's degree in actuarial sciences at Corvinus University of Budapest (2018). His research interested covers the areas of Machine Learning, Process Optimization, Distributed Learning Methods and their industrial and economical applications. His current research focuses on Reinforcement Learning and Machine Learning applications for Supporting Industry 4.0. 

Tuan-anh Tran - graduated with bachelor's (2015) degree in mechanical engineering in Vietnam, and master's (2019) degree in technical management in Hungary. He has been working along with product development teams and participating in productivity, quality, and safety improvement projects. His current research interest is related to data analysis in manufacturing operational management, from a system engineering aspect.

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