Research Seminar on AI: Process Mining
Dienstag, 27.07.2021, 16.00 Uhr
Process mining is an emerging scientific discipline that allows for extracting knowledge from event logs, i.e., collections of historical execution data, available in modern business information systems. Process mining is primarily used to discover, monitor, and improve processes by applying various techniques to event logs generated by the execution of processes. Process discovery, conformance checking, and process enhancement form the three main tasks in process mining, which have been extensively applied to business processes in numerous application fields, such as finance, logistics, and health care. In this talk, Merih Seran Uysal will introduce process mining and provide information about how process mining plays an important role in the exciting field of artificial intelligence.
Merih Seran Uysal is a group leader at the Process and Data Science Chair of RWTH Aachen University headed by Prof. Dr. Wil van der Aalst. After completing her diploma study in computer science and biology at RWTH Aachen University, she worked as an IT consultant in the industry for three years. After accepting a PhD position at RWTH Aachen University, she went back to the roots and did her PhD at the Data Management and Exploration Chair while working as a research associate. Her current research interests include business process similarity and matching, conformance checking, process mining for operational processes, comparative process mining, and process mining of uncertain event data.