Prof. Dr. Jan Mendling
Jan Mendling is the Einstein-Professor of Process Science with the Department of Computer Science at Humboldt-Universität zu Berlin, Germany. His research interests include various topics in the area of business process management and information systems. He has published more than 450 research papers and articles, among others in Management Information Systems Quarterly, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Journal of the Association of Information Systems and Decision Support Systems. He is a department editor for Business and Information Systems Engineering, member of the board of the Austrian Society for Process Management (http://prozesse.at), one of the founders of the Berlin BPM Community of Practice (http://www.bpmb.de), organizer of several academic events on process management, and a member of the IEEE Task Force on Process Mining. He is co-author of the textbooks Fundamentals of Business Process Management, Second Edition, (http://fundamentals-of-bpm.org/) and Wirtschaftsinformatik, 12th Edition, (https://lehrbuch-wirtschaftsinformatik.org/), which are extensively used in information systems education.
Positions at Weizenbaum Institut
Principal Investigator
Research Focus: Digital Infrastructures in Democracy
Research Group: Security and Transparency of Digital Processes
Fields of research
- Business Process Modeling
- Business Process Management
- Process Mining
- Information Systems
- Enterprise Architecture
Publications
Selection
Wurm, B., Becker, M., Pentland, B. T., Lyytinen, K., Weber, B., Grisold, T., Mendling, J. & Kremser, W. (2023). Digital Twins of Organizations: A Socio-Technical View on Challenges and Opportunities for Future Research. Communications of the Association for Information Systems, 52(1), 26.
Haase, J., Djurica, D., & Mendling, J. (2023). The Art of Inspiring Creativity: Exploring the Unique Impact of AI-generated Images. Proceedings of the Amercan Conference on Information Systems (AMCIS 2023).
Vidgof, M., Bachhofner, S., & Mendling, J. (2023). Large Language Models for Business Process Management: Opportunities and Challenges. Proceedings of the International Conference on Business Process Management (BPM Forum 2023).
Vidgof, M., Wurm, B., & Mendling, J. (2023). The Impact of Process Complexity on Process Performance: A Study using Event Log Data. Proceedings of the International Conference on Business Process Management (BPM 2023).
De Smedt, J., Yeshchenko, A., Polyvyanyy, A., De Weerdt, J., & Mendling, J. (2023). Process model forecasting and change exploration using time series analysis of event sequence data. Data & Knowledge Engineering, 145, 102145.
Bayomie, D., Di Ciccio, C., & Mendling, J. (2023). Event-case correlation for process mining using probabilistic optimization. Information Systems, 114, 102167.
Miscellaneous
ORCID-ID: https://orcid.org/0000-0002-7260-524X