Members

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

Researchers and PhD students

Andras Daranyi - graduated with bachelor's degree in biochemical engineering (2018) and master's degree in engineering management (2020). His research interest covers the areas of process and data mining. His current research focuses on indoor position data processing with machine learning algorithms.

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

Daniel Szilard Varga - graduated with bachelor’s (2015) and master’s (2017) degree in chemical engineering at the University of Debrecen and Budapest University of Technology and Economics. He has been working as a Technologist for 3 years for MOL. His research focuses on application of Industry 4.0 on oil and chemical industry.

Gergely Honti graduated with bachelor's (2016) and master's (2017) degree in computer engineering from University of Pannonia. He has been working as a Computer Engineer for 5 years and has been involved in cutting edge technology projects, like Siemens Syngo. His research area is Big Data and Data Analysis.

Detailed CV

Gyula Dorgo graduated with bachelor's (2016) and master's (2017) degree in chemical engineering with a specialization in process engineering from the University of Pannonia. His research interest covers the areas of goal-oriented optimization, event analysis and data science applications in process mining. His current research focuses on the applications of process mining tools in alarm management for the improvement of process safety.

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.




Laszlo Nagy - graduated with bachelor's (2015) and master's (2017) degree in mechatronis engineering from University of Pannonia. He has 3 years experience as an Instrumentation and Controls Field Service Engineer at Siemens, working with industrial gas turbines worldwide. His research interested covers the areas of machine learning algorithms, IoT tools, and elements of artificial intelligence. His current research focuses on Industry 4.0 (Smart Factory solutions), and Process Engineering.

Detailed CV LinkedIn

Robert Csalodi - graduated with bachelor's (2018) degree in mechanical engineering and master’s (2020) degree in mechatronics engineering. His research interested covers the areas of Process and Data Mining. His current research focuses on the integration of Survival Analysis and Machine Learning methods.


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.

Tamas Ruppert is an Assistant Professor at the Department of Process Engineering at the University of Pannonia in computer science. He graduated with bachelor's (2015) degree in Mechanical Engineering and (2015) in Engineering Information Technology and master's (2016) degree Mechatronic Engineering and received PhD degrees in 2020. His research interested covers the areas of Process Mining algorithms, Discrete-event simulators and supply chain management. His current research focuses on Industry 4.0 (Discrete Event simulators, Connected Factory, Supply Chain Management) and Big Data.

MSc students at the Momentum Research group

Timea Czvetko - graduated with bachelor's (2020) degree in Technical Management. She is studying Research and Innovation Management and master's degree Engineering Management at University of Pannonia.

Her research interest covers the area of region analysis.


we have open positions!


External members - Cooperations

Department of Computer Science and Systems Technology, University of Pannonia, Hungary

  • Agnes Vathy Fogarassy - Data mining

  • Janos Baumgartner - Survival analysis

  • Zoltan Sule - Optimisation, stochastic processes

HAS - UP - Budapest Ranking Reseach Group

Research Group on Process Network Engineering, Kaposvar University

to be extended, "our mind is open" ..

Industrial partners

Balluff - Zoltan Kantor - Smart sensors

Foxconn - Mark Hermann - Industry 4.0 and big data

iQor - Kornel Nemeth - Services 4.0

Sunstone RTLS - László Jakab - Industry 4.0 and process development

MOL - Soft sensors, alarm management

to be extended ..

Graduated PhD students (former members of Abonyilab)

Daniel Leitold, 2020, Assistant Professot at University of Pannonia

Tibor Kulcsar, 2017, Data mining specialist and system architect, I-New Unified Mobile Solutions AG,

Laszlo Dobos, 2016, Support Engineer, SAP Hungary

Zoltan Banko, 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

Graduated BSc and MSc students

Peter Piegler - deep learning

Kristof Varga - process mining