János Abonyi
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Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production - János Abonyi - E-Book
Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production
János Abonyi
Are Regions Prepared for Industry 4.0? - János Abonyi - E-Book
Are Regions Prepared for Industry 4.0?
János Abonyi
Cluster Analysis for Data Mining and System Identification - János Abonyi - E-Book
Cluster Analysis for Data Mining and System Identification
János Abonyi

Janos Abonyi is a full professor at the Department of Process Engineering at the University of Pannonia, where he holds joint appointments in computer science and chemical engineering. He received his MEng and PhD degrees in chemical engineering from the University of Veszprem, Hungary in 1997 and 2000, respectively. In 2008, he earned his Habilitation in the field of Process Engineering, and the DSc degree from the Hungarian Academy of Sciences in 2011. During 1999-2000, he was employed at the Control Laboratory of the Delft University of Technology in the Netherlands. Dr. Abonyi has co-authored over 250 journal papers, book chapters, and five research monographs. He has also authored a Hungarian textbook about data mining. His research interests include complexity, process engineering, quality engineering, data mining, and business process redesign.

Tamas Ruppert is an Associate Professor at the Department of Process Engineering at the University of Pannonia, with a focus on computer science. He graduated with bachelor's degrees in Mechanical Engineering and Engineering Information Technology in 2015, and a master's degree in Mechatronic Engineering in 2016. He received his PhD degree in 2020. His research interests cover activity recognition, discrete-event simulators, human-centric solutions, and Operator 4.0.

Laszlo Nagy received the bachelor’s degree in mechatronics engineering in 2015, the master’s degree in mechatronics engineering, in 2017, and the Ph.D. degree, in 2023.

He has five years of experience as an Instrumentation and Controls Field Service Engineer at Siemens, working with industrial gas turbines worldwide.

His research interest covers the areas of semantic networks, modeling of manufacturing systems, and development of complex optimization methods. Furthermore, study the industry 5.0, human-centered approach, using knowledge graphs and ontologies.