Members of the Operator 4.0 research network
Tamas is an Associate Professor at the Department of Process Engineering at the University of Pannonia and deputy head of Complex systems monitoring research group. 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 Operator 4.0.
Prof. Dr. David Romero is a Professor of Advanced Manufacturing at the Departments of Industrial Engineering and Mechatronics of the Tecnológico de Monterrey University in Mexico, and a National Academia Representative and Coach for the Regional Secretariat of Mexico at the international joint-research program “Intelligent Manufacturing Systems (IMS)”. His research interests include: Circular Manufacturing, Service Engineering and Product-Service Systems, Cyber-Physical Systems and Human Systems, Advanced Production Management Systems, Green Virtual Enterprises, and Technology and Engineering Management in the context of the Fourth Industrial Revolution. He is a member of the Society of Collaborative Networks, the IFAC TC5.3 on Enterprise Integration and Networking, the IFIP WG5.7 on Advances in Production Management Systems, the IFIP WG5.12 on Architectures for Enterprise Integration, the IEEE Technology and Engineering Management Society, and the IEEE Internet of Things Community. Furthermore, he is an Agenda Contributor at the World Economic Forum (WEF) Council on “Shaping the Future of Advanced Manufacturing and Value Chains”, and a World Manufacturing Forum (WMF) Ambassador. He has published more than 150 journal and international conference articles. He serves on different technical and scientific committees and advisory boards in academia, industry, and government in the disciplines of business and industrial engineering. Nowadays, he is focused on promoting the concepts of the "Operator 4.0/5.0" and "Digital Lean Manufacturing"; the father of both terms.
János is a full professor at the Department of Process Engineering at the University of Pannonia in computer science and chemical engineering and head of Complex systems monitoring research group. 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.
Johan Stahre received his MSc in Production Engineering from Linköping University of Technology in 1987. He finished his PhD in 1995 at Chalmers University of Technology within the field of Manufacturing Automation. His research focus was on human-centred manufacturing and he has since developed several methods for analysing levels of automation and tools for human operator augmentation. Since 2005 he is Chair Professor and Head of the Division of Production System at Chalmers, as well as Vice Head of the Dept of Industrial and Materials Science, coordinating innovation and research utilization. Professor Stahre has published more than 170 international publications and created a number of national and international research projects. He has held positions in IFAC and is part of the IFIP network. He was a main driver behind the national Strategic Research Area for Manufacturing in Sweden 2009, serving as codirector of Chalmers Production Area of advance for eight years. He is Codirector of the 12-year national Swedish Research and Innovation Programme, Produktion2030, since 2013. In 2018, Professor Stahre was a core partner in developing the EU-based EIT Manufacturing programme and became its Director of Innovation and also startup CEO of EIT Manufacturing Colocation Centre North. He has frequently served as expert advisor to industry and to the Swedish government and has had advisory roles for the European Commission, the World Economic Forum, and the World Manufacturing Forum, focusing on the future of manufacturing; human roles in industry; and the digitalisation of jobs. Together with Professor David Romero, Johan Stahre proposed the Operator 4.0 and 5.0 concepts, as a way to demonstrate and strengthen the complex and human-centred role of frontline employees and the opportunities in advanced digitalisation.
Dr. Susanna Aromaa is a senior scientist in Human Factors in Work Transformation team at VTT Technical Research Centre of Finland. She has designed, co-created and evaluated human-technology interaction in industrial work context. Dr. Aromaa has participated in many EU and national projects and researched human factors and ergonomics in design of industrial workplaces especially when implementing emerging technologies (e.g., augmented and virtual reality systems, robotics). She is interested of the usefulness, acceptance and user experience of new technologies.
Chiara Cimini is Assistant Professor at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy). She received her PhD in Engineering and Applied Science in 2020 at the University of Bergamo and she is a member of CELS – Research Group on Industrial Engineering, Logistics, and Service Operations. Her main research interests concern Industry 4.0 and its impacts in the operations, with a special focus on the role of the operators, human factors, human-technology integration and workforce evolution in the smart manufacturing and logistics context. Her expertise includes simulation, case study and action research. She has published more than 30 papers in international journals and conference proceedings. She is Associate Editor of Computers and Industrial Engineering and candidate member of IFIP WG 5.7.
Vincenzo is a researcher at SUPSI's Sustainable Production Systems Laboratory, specializing in human-robot collaboration, Industrial Internet of Things (IIoT) applications, and Artificial Intelligence. His main research activity focuses on (Human) Digital Twins and AI to support collaborative robotics applications, so that to increase humans well-being while improving production performance. Many research results have been applied to or derived from research and innovation projects funded by national and international frameworks (e.g., European H2020 projects including Kitt4SME, STAR, Better Factory, Circular TwAIn).
Vincenzo holds a Master of Science and a Ph.D. in Computer Science, focusing his research on big data integration and Semantic Web technologies.
Since 2022, he has also taken on the role of a teaching assistant for the "Introduction to Software Programming" and "Industry 4.0 and the Factory of the Future" courses within the Bachelor of Science in Management Engineering program at SUPSI.
Researchgate
György earned his B.Sc. degree in Mechatronic Engineering at Óbuda University, Bánki Donát Faculty of Mechanical and Safety Engineering in 2011, and M.Sc. degree in Biomedical Engineering at Budapest University of Technology and Economics in 2013. He received his Ph.D. degree at Óbuda University in 2017. György is the acting dean of the John von Neumann Faculty of Informatics and the Head of the Biomatics and Applied Artificial Intelligence Institution, where he is currently an associate professor. His main research focus is the application of advanced control methods in physiological relations, biomedical engineering, human-in-the-loop systems, artificial intelligence base cybermedical systems. Having published more than 100 scientific works on these topics, his h-index is 7. He is a member of the Board of Governors of the IEEE System, Man, and Cybernetics Society, Co-Chair of the Computational Cybernetics Technical Committee, and the Director of the Robotics Special College of the Óbuda University.
Tim is an Assistant Professor in Industry 4.0 / Digital and Sustainable Manufacturing at the University of Southern Denmark. He has a background in industrial engineering and obtained his PhD from Technische Universitaet Berlin. His research focuses on designing complex manufacturing systems in the context of current global trends such as sustainability or digitalization.
Bart is a deputy director for science and an assistant professor at the Institute of Production Systems Organization at the Faculty of Mechanical and Industrial Engineering of the Warsaw University of Technology in production management. He got his PhD for the work on radio frequency identification applications in manufacturing organizations. His current research is focused on sustainability aspects of smart manufacturing and he is leading SUSTAIN 4.0 Research Team within the institute. He has a strong record of international scientific, research and educational collaborations including EU FP7, H2020 and Erasmus+ programs.
Rodolfo (IEEE, IFAC member) received the Ph.D. degree in Industrial Engineering from the Universidad Politécnica de Madrid, Spain, in 1999. Since January 2020, he has been appointed Director of the Center for Automation and Robotics of the Spanish Council for Scientific Research (CSIC) and Polytechnic University of Madrid (UPM), formerly Vice-Director (2015-2019). He has more than 25 years of experience in higher education and research. He has lead several European projects and Spanish research projects including 12 contracts with industry since 2002. In particular, he is now involved in two European projects related with Artificial Intelligence and Industrial Cyber-physical systems: KITT4SME (2020-2024) and Power2Power (2019-2022). He has authored 3 books, 14 patents, 1 trade secret, 21 book chapters, and more than 70 articles in indexed journals and dozens of conference papers. He has been co-founder of Kinequo S.L. (2015) and Xymbot Digital Solutions SL (2020). Since 2002, he has belonged to the IFAC’s Technical Committee 3.1 Computers for Control, ASME Technical Committee on Model Identification and Intelligent Systems and IEEE IES Technical Committee on Industrial Cyber-Physical Systems (ICPS). Since 2002, he has been an expert evaluator and Vice-Chair for the European Commission collaborating with various research agencies such as REA and EACEA. He has been associate editor and member of the Editorial Board of journals such as Scientific Reports, Processes, Sensors, Journal of Control Engineering and Applied Informatics, and Computational Intelligence and Neuroscience, among others.
His main research activities are focused on Industry 5.0, cyber-physical systems, intelligent systems, control and supervisory systems, and artificial cognitive systems.
Päivi works as a senior researcher and project manager at VTT Technical Research Centre of Finland in the areas human-driven design and human-technology interaction. She holds MSc in psychology and PhD in user experience for work on design research studies of digital solutions for supporting wellbeing at the changing workplace. Recently, her work has focused on the transformation of industrial work and design for well-being, for example designing and piloting a personal feedback application with factory workers in Factory2Fit EU project. Currently, she is a VTT project manager of SHOP4CF EU project, guiding human aspects consideration in the design of industrial software solutions and leading the co-creation of ethical guidelines for the project.
Jan is the Leader of research direction Systems Integration and Head of department of Process Modelling and AI at Centre for Nanomaterials, Advanced Technologies and Innovations (CXI). He has been working on optimization and control issues in joint projects as a member of the technical cybernetics department (process control in a thermal power plant, production system for a thermometer manufacturer) or on a professional internship in France at Ecole des mines Douai (robot control).
In recent years at CXI Jan has been focusing on digitalization and industry 4.0 as such, modern elements such as edge and cloud computing, IoT usage, event-driven architecture, shopfloor systems and innovative use of augmented/mixed reality in industrial practice. In this area interesting solutions such as modular mVIS visualization, the concept of using AR in vehicle design and others have already been created and deployed. In the last 3 years, he has also been actively involved in the management of a research project in the ANTETUL autonomous electric vehicle project, where he is in charge of the development of vehicle control, the use of AR and bigdata platform including the use of machine learning and prediction methods.
David is a researcher and PhD candidate at the department of Human-Machine Interaction at TU Wien. His primary research interests involve intelligent and AI-based user interfaces, affective computing, and embodied interaction between workers and machines in industrial settings. David has been involved in multiple national and international projects, and is currently leading the research projects A2P (funded by FFG), A2I, and Ergo4A (both funded by Austrian Chamber of Labour), where he conducts interdisciplinary research on human action recognition, assisting disabled workers through AR, and interpretable AI-based ergonomics respectively.
Alexandra Lagorio is Assistant Professor at the Department of Management, Information and Production Engineering of the University of Bergamo (Italy). She received her PhD in Economics and Management of Technology in 2018 at the University of Bergamo and University of Pavia. She is a member of CELS – Research Group on Industrial Engineering, Logistics, and Service Operations at the University of Bergamo. Her main research interests concern urban freight distribution, last-mile logistics, logistics 4.0, and healthcare logistics management with a particular focus on the role, benefits and impacts of technologies in these different areas. Her expertise includes optimization, simulations, and action research. She has published more than 40 papers in international journals and conference proceedings. She is also a member of the Centre for Territorial Studies “Lelio Pagani”.
Dr. Minna Lanz received her doctoral degree (D.Sc) in 2010 from mechanical engineering. Currently she works as a full professor in the field of production engineering at Tampere University focusing on Production Systems and Technologies. Her research interests are in Manufacturing ICT solutions, Semantic modelling of manufacturing systems, and in industrial robotics, especially in Human-Robot collaboration. Currently she is the coordinator of TRINITY project, which focuses on networking of the digital innovation hubs for Robotics in Agile manufacturing. Aside of the research work, her interests have been in public private partnerships, financial instruments for SMEs and collaboration in EC-funded projects. She is a member of Finnish Robotics Association, EFFRA, ManuFuture, Vanguard Initiative and euRobotics, and actively contributes to Visions and Strategic Research and Innovation roadmaps originating from these networks.
Andreas is a PhD student supervised by Professor Michael Weyrich and Dr. Nasser Jazdi at the Institute of Industrial Automation and Software Engineering (IAS) of the University of Stuttgart. I am working on the project "Real-Time Locating System (RTLS) for the production sector" to enable smart manufacturing. Furthermore, I am a member of VDI/VDE GMA specialist committee 7.25 "Testing of Networked Systems for Industry 4.0".
Dr. Sandra Mattsson is a senior researcher in the field of Human-Automation Interaction with focus on supporting operators in complex production. She presented her dissertation in 2018, title Towards increasing operator wellbeing and performance in complex assembly. With a background as an automation engineering and a bachelor in psychology her research is centered around how operators and workers experience and perceive automation solutions in the manufacturing industry and how digital tools can be designed to support them e.g. how cognitive processes can be better understood, measured and supported using digital tools. The aim is to increase the efficiency and sustainability within production. Sandra has a special interest in developing methods, processes and models for digitalization and automation and has specifically been focusing on assembly work in the automotive industry working close to both small and medium sized enterprises as well as the original equipment manufacturers.
Her vision is to make the complex simpler to understand through involvement, education, workshops, coaching or webinars.
Sandra leads the group Collaborative, flexible and value creating automation at Research Institutes of Sweden and is a coordinator for the assembly production cluster. She has written a course book Smart Automation - seven methods for final assembly.
Elias is a researcher of the Sustainable Production System Lab at University of Applied Science and Arts of Southern Switzerland and an executive PhD student at DEIB - Politecnico di Milano. He holds a Master of Science in Engineering with specialization in Business and Production. His research activities focus on collaborative robotics and on (Human) Digital Twins towards the design and development adaptive work environments, where humans and machines complement their capacities to optimize manufacturing performances and improve worker wellbeing. These activities have been carried out and are ongoing through research projects funded at national and international level in the context of digitalization in manufacturing, including DAEDALUS-H2020, COMPLEMANT: Open-call experiment, KITT4SME-H2020, STAR-H2020, BRILLIANT: Open-call experiment.
Antonio Padovano is Assistant Professor of Industrial Systems Engineering at the Department of Mechanical, Energy and Management Engineering of the University of Calabria, Italy. His research and contribution in funded projects is profiled in human-centered systems design, human-machine symbiosis and human augmentation for a smart workforce, as well as digital twin solutions and simulation systems with a focus on the manufacturing and logistics sectors. He carried out research work at MIT Zaragoza Logistics Center, BIDMC (Harvard Medical School) and Rutgers Business School. He has 7+ years of consulting experience carried out in collaboration with CAL-TEK S.R.L., a Spin-off company of the University of Calabria delivering digital transformation and simulation services to several companies and research institutions, including NATO STO CMRE, Baker Hughes.
He authored more than 60 articles on premier international journals and conference papers. He is actively involved in the Board of International Conferences in industrial engineering, mathematical modelling and simulation (namely ISM and I3M) and is member of different societies and associations, including IFIP WG 5.7, IEEE SMCS.
Prof. Dr. Peter Papcun is head of the Department of Cybernetics and Artificial Intelligence (DCAI) at the Faculty of Electrical Engineering and Informatics, Technical University of Košice. He graduated with a bachelor's degree (2009), master's degree (2011), and Ph.D. degree (2015) in Cybernetics. From 2015, he was an assistant professor in cybernetics at DCAI. In 2018, he became head of the Center of Applied Cybernetics, one of DCAI's centers. In 2021, he defended his habilitation thesis on "Smart and Cognitive Operator 4.0 with Information Technology Support". This topic is still his research focus. After the defense, he took up the position of associate professor in computer science. Since January 2023, he has been Head of DCAI. Prof. Papcun has co-authored more than 100 publications in journals and conferences. His research focuses on Industry 4.0/5.0 and Operator 4.0, specifically on cyber-physical systems (CPS), human–machine interfaces (HMI) and SCADA supervisory systems for Industry 4.0, industrial internet of things (IIoT), robotics, and new technology integrations to operators' support.
Prof. Dr. Margherita Peruzzini is Professor of Industrial Design and User Experience Design at the Department of Engineering “Enzo Ferrari” of the University of Modena and Reggio Emilia, Italy. She is a member of the National Cluster “Fabbrica Intelligente” and she coordinates the Virtual Prototyping Lab of the Modena Technopole, within the High Technology Network of Emilia Romagna.
Her research topics include: user-centered design, ergonomics and human factors, human-machine interaction, human-robot collaboration, virtual and augmented reality, industry 4.0 / 5.0.
She is member of different scientific communities, among them the International Society of Transdisciplinary Engineering (ISTE), the Design Society, the National Ergonomics Association (SIE).
She serves on different technical and scientific advisory boards in Academia and Industry in the disciplines of industrial engineering. She is author of more than 170 papers published on international journals and conference proceeedings.
Francesco is a Associate Professor at the Department of Industrial Engineering - University of Trento. Chair of the research group in Industrial plants, Production systems and Logistics of the University of Trento. Coordinator of the Master degree programme in Management and Industrial Systems Engineering of the University of Trento.
Main research area deal with the development, testing and validation of original digital architectures to automatically and quantitatively assess the efficiency and safety of manual production processes with novel sensor fusion techniques to enable advanced human-centric manufacturing systems.
Marta Pinzone, PhD is assistant professor at the Department of Management Engineering of Politecnico di Milano. Her research interests are at the intersection of people management, sustainability and digital innovation. She has been investigating organizational and technological innovations that can improve environmental, social and economic outcomes at multiple level of analysis and the people-centred mechanisms through which these effects materialize. In this respect she has been involved in several national and EU projects related to Human-Centric and Socially Sustainable Manufacturing, Competencies for Industry 4.0 and the Circular Economy, Green Human Resources Management and Organizational Citizenship Behaviours Towards the Environment. She has been member of the “Industry 4.0 Observatory” of the School of Management of Politecnico di Milano and carried out collaborative research on the “Jobs & Skills 4.0” within the observatory. Since 2019 she has been collaborating with the World Manufacturing Foundation as member of the Editorial Board of the World Manufacturing Report (2019 and 2020) and as coordinator of the Young Manufacturing Leaders Network (2020-ongoing) which promote innovative, sustainable and inclusive manufacturing.
Researchgate
Andrea is a Ph.D. student supervised by Professor Francesco Pilati at the Department of Industrial Engineering of the University of Trento. His core research interest is the digitization of modern and complex manufacturing systems through Industrial Internet of Things (IIoT) technologies and quantitative methods. He received his master’s degree in Management Engineering from the University of Bologna.
LinkedIn
Anna is a full professor in Production Engineering at the Department of Engineering Science at the University of Skövde, and also a guest professor at Chalmers University of Technology. She received her MSc in Computer Science in 2004, and her PhD in 2009 from DeMontfort University UK. Anna is the leader of the research group Virtual Production Development at the University of Skövde, which consists of approximately 25 researchers. She is also the research leader for the industrial collaboration arena ASSAR. Anna’s research interested covers the areas of Industry 4.0/5.0, especially when it comes to the development of industrial operator support systems incorporating virtual simulations, optimizations and VR/AR/MR visualization. Her research is to a large extent applied and carried out in close cooperation with industrial partners, mainly within the manufacturing industry but also with partners found in the public sector.
Peter Thorvald is an Associate Professor of Product Design Engineering at University of Skövde in Sweden. With a background in Cognitive Science and a PhD in Manufacturing Engineering from Loughborough University, UK, his research interests regard the role of cognitive ergonomics in the manufacturing industry. Specific research interests lie in the fields of workstation design, mental workload assessment, and work instruction design. Peter has a strong record of international collaboration having been active in FP6, FP7 and Horizon2020 funded projects.
Prof. Iveta Zolotová, Slovakia
Prof. Dr. Iveta Zolotová is a leader of the research group Intelligent Cybernetic Systems at the Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Kosice. She has been a professor since 2010 in Cybernetics and Informatics. Her expertise is: intelligent systems, human-system symbiosis and interaction, digital twin, Industry 4.0/5.0, industrial informatics, applied artificial intelligence, HCPSs with support edge and cloud computing, industrial IoT, SCADA/HMI, architectures of industrial systems, smart health and transportation, computer vision, robotics. She has over 200 publications in journals and conferences and important references in WOS and SCOPUS databases. She leads many research and innovation projects, and the labs at the department: Think lab: Vison, IoT and Robotics; Intelligent Health Lab, and Smart Industry/Industry 4.0 lab. Prof. Zolotova is involved as a member of many international committees of conferences or as a reviewer in journals, too. She is a member of IFIP and a senior member of IEEE (Education, SMC, and Computer Societies).