Best Process Science Conference Papers 2024

Mieke Jans is a Professor in the Business Informatics Research Group at Hasselt University and at Maastricht University. Her research focuses on Business Process Management, Process Mining, Information Systems, and Auditing, with a special interest in Audit Analytics and process mining in auditing financial statements. She has published extensively in international peer-reviewed journals and co-authored several books. Mieke is a member of the IEEE Task Force on Process Mining Steering Committee and leads the Scientific Research Community on Process Mining, while also serving as Associate Editor and reviewer for various journals.

Dr. ir. Xixi Lu is an Assistant Professor at Utrecht University’s Information and Computing Sciences department. She received her Ph.D. degree in Computer Science at the Eindhoven University of Technology in the Netherlands in 2018. She has published in more than 40 peer-reviewed conferences and journals. Her research interests sit at the intersection of Process Mining and Artificial intelligence. In particular, she focuses on designing methods, approaches, and algorithms to analyze complex event data for understanding, predicting, and optimizing the behavior of processes. Her work has been applied in the healthcare and auditing domains.

Andrea Marrella is an Associate Professor at Sapienza University of Rome, where he co-leads the Processes, Services and Software Engineering group. Andrea has co-authored over 110 scientific publications in major AI and information systems outlets, winning a Best Paper Award at CAiSE 2017. Andrea is an Associate Editor of the ACM Journal of Data and Information Quality and ACM Computing Surveys. Among his recent appointments, he was the General Chair of ICPM 2023, and the PC Co-Chair of BPM 2024. In 2023, he co-authored the Manifesto on AI-Augmented BPM. In 2024, he organized the Dagstuhl seminar on improving trust in RPA.

Jan Mendling is the Einstein-Professor of Process Science at Humboldt-Universität zu Berlin, Germany, and adjunct professor at Vienna University of Economics and Business, Austria. He is also a Principal Investigator at the Weizenbaum Institute, Berlin. His research focuses on business process management and information systems, with over 500 publications in top journals like MIS Quarterly and IEEE Transactions. He co-authored textbooks including Fundamentals of Business Process Management. He is the founding co-Editor-in-Chief of Process Science.

Prof. Dr. Luise Pufahl leads the "Information Systems" research group at the Technical University of Munich, Heilbronn campus. Her research focuses on automating and analyzing resource- and knowledge-intensive business processes using operations research, simulation, and machine learning. She addresses regulatory compliance and sustainability, especially in healthcare and logistics. With over 65 published articles, Prof. Pufahl has received numerous awards, including the Test-of-Time Award (Runner-up) at the BPM Conference 2023. She was also part of winning teams in the Business Process Intelligence Challenges of 2019 and 2020.

Manuel Resinas is a Professor at the University of Seville, where he leads the Information Systems group in the Smart Computer Systems Research and Engineering lab. His current research interests include process performance and compliance management, personal productivity analytics, and the process of process mining. Previously, he worked on the analysis and management of service level agreements. His research is regularly published in journals like IEEE Trans. Serv. Comp. or BISE, and conferences like BPM or CAiSE. He has been general chair and PC chair of the BPM conference and is currently associate editor in the BISE journal.

Michael Rosemann is Director of the Centre for Future Enterprise and Professor of Information Systems at Queensland University of Technology (QUT). He has published in top journals like MIS Quarterly and Journal of Strategic Information Systems, and authored ten books in five languages, including the International Handbook on Business Process Management. His research on BPM maturity, ambidextrous BPM, and rapid process redesign has shaped BPM globally. He established four industry-funded Chairs at QUT, is VP Strategic Partnerships for the Association for Information Systems, and serves as Honorary Consul for Germany in Southern Queensland.

Dr. Minseok Song is a Full Professor at POSTECH, specializing in process mining to analyze and optimize business processes for improved efficiency. His interdisciplinary research also spans process simulation, healthcare information systems, manufacturing analysis, and industrial AI, reflecting a broad and interdisciplinary approach to solving real-world problems. He has published over 150 scientific papers in several top-level venues, such as Decision Support Systems, Information Systems, the Journal of Information Technology, and International Journal of Medical Informatics.