Process Mining describes a set of data-driven techniques to discover process models from event logs, to check conformance and monitor processes, and to enhance and improve models. During the last ten years, these techniques have developed into a mature research field with many use cases, resulting in a strong industry uptake. Its main applications can be found in business process management to create actionable insights leveraging existing data from IT systems. However, recent research shows a broader range of Process Mining applications such as in Software Engineering, Human-Computer Interaction, and control of manufacturing processes.
In this presentation, Julian Theis will introduce the fundamentals of Process Mining based on real-world examples. He will also talk about recent research projects in atypical fields and will discuss future directions.
Julian Theis is currently pursuing the Ph.D. degree with the Mechanical and Industrial Engineering Department, University of Illinois at Chicago (UIC). He received the B.Eng. degree in Media Technology in 2014 and the M.Eng. degree with distinction in Media and Communications Technology in 2016, both from the RheinMain University of Applied Sciences, Wiesbaden, Germany. Julian joined PROMINENT Laboratory, UIC's foremost research facility in Process Mining, as a researcher in January 2017, after working as a software engineer for a leading company in media and workflow automation, broadcast management, and OSS software in Germany. His research interests include Process Mining, its applications to industrial, IT, and business processes, and Deep Learning. Julian is furthermore an IEEE Graduate Student Member and received the IABM Engineering Student Award in 2013.
6:00 p.m - 6:30 p.m is time for social. Seminar will start at 6:30 p.m.
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