András graduated with a bachelor's degree in biochemical engineering (2018) and a master's degree in engineering management (2020). He is a Ph.D. student at the University of Pannonia, supervised by Dr. Tamás Ruppert and Dr. János Abonyi. His research topic is the support of tool management with machine learning algorithms, which includes tool monitoring, allocation, and maintenance. His current research focuses on extracting valuable data and mobility patterns from indoor position data by processing with probability-based clustering algorithms and sequential Monte Carlo state estimation. 

Tibor is an Assistant Professor at University of Pannonia, Research Centre for Engineering Sciences. He graduated with master's degree in physics education at University of Szeged (2011), and received PhD degree in physics at Eötvös Loránd University (2017). His research interest covers the areas of sensor- and measurement technology. 

Tuan-anh graduated with a bachelor's (2015) degree in mechanical engineering in Vietnam, and a master's (2019) degree in technical management in Hungary. He has worked as a Lean consultant in the Vietnamese manufacturing industry and participated in multiple improvement projects regarding productivity, quality, and safety. His current research interest is data analysis in manufacturing operational management from a system engineering aspect, to facilitate the Operator 4.0 application and Lean 4.0 transformation. 

Vera is an Assistant Professor at the Institue of Psychology and Mental Hygiene, University of Pannonia. She graduated with master's degree in psychology at the Eötvös Loránd University (2016), and received her PhD degree in psychology at the Budapest University of Technology and Economics (2023). Her research interest is the measurement of cognitive processes via physiological methods.

Abdulrahman graduated with bachelor's degree B.Eng in Medical Instrumentation Technology Engineering at the Northern Technical University, Iraq in 2011 and my master's degree MSc in Biomedical Engineering at the University of Strathclyde, UK in 2015. The MSc’s project was about studying human emotions through recording the Galvanic Skin Response (GSR). I am a PhD student at the Department of Processing Engineering/University of Pannonia through the Stipendium Hungaricum Scholarship. My main PhD research field is in human intention recognition and Bio-signal processing. We will focus on monitoring cognitive load on human through recording specific physiological signals; GSR at the first step and Heart Rate Variability (HRV) in the second step.

Gabor is a department engineer at the Department of System Engineering at the University of Pannonia. He received MEng degree in Information Technology in 1998 and BSc degree in Economics in 2009 from the University of Veszprem. He received a postgraduate degree in Business Data Analysis in 2019 from the Corvinus University of Budapest, and Industry 4.0 Solution Developments and Data and Systems Science in 2021 from the University of Pannonia. He is currently a Ph.D. student at the University of Pannonia, supervised by Dr. Tamás Ruppert and Dr. Zoltán Süle. His research aims to develop risk intelligence-based predictive models that provide early intervention strategies for systems with uncertainty and to identify and forecast the risks of systems and processes using data-driven artificial intelligence and machine learning algorithms.

Mónika graduated with a bachelor's (2024) and a master's degree (2025) in mechatronics engineering. She is a Ph.D. student at the University of Pannonia, supervised by Dr. David Romero and Dr. Tamás Ruppert. Her research topic during her bachelor's degree focused on human-machine collaboration. Her current research focuses on how and when industrial work instructions could be adapted to different circumstances. During her studies, she placed 1st at the Institutional Student Research Conference in 2024 and attended the National Student Research Conference in 2025. In 2025, she received the "Dr. Tamás Varga Scientific Student Award" for her scientific activity. 

Gergely graduated with bachelor's (2023) and currently pursuing master’s degree in mechatronics engineering. His current research interests include Operator 4.0 and human-centric solutions. 

Zoltán graduated with a bachelor's (2020) and master's (2023) degree in mechatronic engineering. He has worked as a quality engineer in the manufacturing industry in Hungary and is currently working in Germany as a process engineer supporting  operational manufacturing processes. His current research focuses on the qualitative and quantitative measurement of operator performance and the impact of workload.

Reza is a PhD student at the Industry 5.0 Laboratory under the supervision of Dr. Tamás Ruppert. He holds a Bachelor's degree in Engineering Management (2013) and a Master's degree in Industrial Engineering (2016), as well as a Master's degree in International Business (2023). His research focuses on simulation in manufacturing, reconfigurable manufacturing systems, and human-centric manufacturing approaches.

József is a Ph.D. student in the Department of Systems Engineering at the University of Pannonia, supervised by Dr. Tamás Ruppert. During his studies, he obtained a B.Sc. degree in Business Informatics and an M.Sc. degree in Economics, specialising in Production and Service Management. He has just finished his postgraduate programme in Research and Innovation Management. His research focuses on the practical application of artificial intelligence and Industry 4.0 technologies in industrial systems, particularly to increase energy efficiency and provide data-driven decision support.

Throughout his professional career, he has gained significant experience in industry, research, and development. Since 2021, he has worked as Head of Software at Silver Frog Ltd., managing the development and the design teams, participating in the planning of product strategies and designing and implementing complex industrial IT systems. His work combines university research and practical development, which is further reinforced by the fact that he conducts his research within the framework of the University Research Scholarship Programme – Cooperative Doctoral Programme.

Armand is pursuing a bachelor's degree in electrical engineering at the University of Pannonia. He helps research by working on the networking.

Judit is pursuing a bachelor's degree in computer programming at University of Pannonia. She's current research focuses on optimization of machine maintenance.

Róbert is pursuing a bachelor's degree in computer programming at University of Pannonia. His current research focuses on human workflow optimizastion.

Jonatán is pursuing a bachelor's degree in electrical engineering. His current research includes human machine collaboration in the Industry 5.0 environment.

Janos 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.

Laszló 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.