Dr. Iris Beerepoot is an Assistant Professor in Information and Computing Sciences at Utrecht University. Her research focuses on work processes and how they are supported by and recorded in information systems. She published over 50 peer-reviewed articles in leading venues such as BPM, ICPM, Computers in Industry, and the Journal of Biomedical Informatics. She serves on various BPM and ICPM program committees, was awarded the BPM runner-up best dissertation award, and served as guest editor for the BISE journal.Dr. ir. Xixi Lu is an Assistant Professor in Information and Computing Sciences at Utrecht University. Her research bridges Process Mining and Artificial Intelligence, developing methods to analyze, predict, and optimize complex processes using event data, with applications in healthcare and auditing. She has published over 50 peer-reviewed articles. She received the Best Dissertation Award from the IEEE Task Force on Process Mining in 2020 and serves as a senior member of the BPM and ICPM program committees.Prof. Dr. Niels Martin is affiliated with the research group Business Informatics of the Faculty of Business Economics at Hasselt University (Belgium). His research topics include process analytics in healthcare, work organization mining, human resource mining, data-driven process simulation and process data quality. He published over 50 peer-reviewed contributions. As an active community member, he is a steering committee member of the Process-Oriented Data Science for Healthcare Alliance and a member of the IEEE Task Force on Process Mining.Prof. Dr. Luise Pufahl leads the Information Systems professorship at the Technical University of Munich. She earned her PhD in Computer Science at the University of Potsdam and was a postdoctoral researcher at the Technical University of Berlin. Her research focuses on analyzing and automating resource and knowledge intensive business processes, including compliance and ecological sustainability. She has taught BPM and Process Mining for over ten years. She serves on the BISE Editorial Board and published more than 50 peer reviewed articles.Dr. Francesca Zerbato is an Assistant Professor at Eindhoven University of Technology. She earned her PhD in Computer Science from the University of Verona in 2019. Her research centers on process mining, with a focus on supporting users through analytic provenance. Francesca published over 50 peer-reviewed articles and is PC member for the BPM and ICPM conferences. She serves on the Editorial Board of Artificial Intelligence in Medicine and is Associate Editor for the Journal of Data and Information Quality.
