Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter Oldenbourg February 28, 2018

A self-portrayal of GI Junior Fellow Matthias Weidlich: Event-driven analysis of service processes

  • Matthias Weidlich

    Matthias Weidlich is a junior professor at the Department of Computer Science at Humboldt-Universität zu Berlin (HU). He leads the Process-Driven Architectures group, which is funded by the German Research Foundation (DFG) through the Emmy-Noether Programme. Before joining HU in April 2015, he held positions at the Department of Computing at Imperial College London and at the Technion – Israel Institute of Technology. He holds a PhD from the Hasso Plattner Institute (HPI), University of Potsdam. Matthias' research focuses on specific types of information systems, those that are process-oriented and those that are event-driven. Specifically, his work relates to formal methods for the specification and verification of information systems, their analysis based on log data, and techniques that optimise their run-time behaviour. His results appear regularly in the premier conferences (BPM, CAiSE, VLDB, SIGMOD, ICDE, IJCAI) and journals (TSE, TKDE, VLDB Journal, Information Systems) in the field. He is a Junior-Fellow of the German Informatics Society (GI) and in 2016 received the Berlin Research Award (Young Scientist), awarded each year by the Governing Mayor of Berlin to a single researcher across all scientific disciplines.

    Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany

    EMAIL logo

Abstract

In domains such as e-commerce, logistics, or healthcare, the conduct of service processes is widely supported by information systems and event data is generated continuously during process execution. Such event data constitutes a valuable source of information to monitor and improve the respective service processes.

My research focuses on models and methods to support event-driven analysis of service processes. Specifically, I study how event logs produced by information systems are used to automatically construct models for qualitative and quantitative analysis. Aiming at online assessment and predictive analysis of a process' behaviour, I develop monitoring techniques that utilise streams of event data produced by diverse sources. Architectures that enable efficient handling of event streams are another focal point of my research. In this article, I outline some of the related research questions and highlight my recent results in these areas.

About the author

Matthias Weidlich

Matthias Weidlich is a junior professor at the Department of Computer Science at Humboldt-Universität zu Berlin (HU). He leads the Process-Driven Architectures group, which is funded by the German Research Foundation (DFG) through the Emmy-Noether Programme. Before joining HU in April 2015, he held positions at the Department of Computing at Imperial College London and at the Technion – Israel Institute of Technology. He holds a PhD from the Hasso Plattner Institute (HPI), University of Potsdam. Matthias' research focuses on specific types of information systems, those that are process-oriented and those that are event-driven. Specifically, his work relates to formal methods for the specification and verification of information systems, their analysis based on log data, and techniques that optimise their run-time behaviour. His results appear regularly in the premier conferences (BPM, CAiSE, VLDB, SIGMOD, ICDE, IJCAI) and journals (TSE, TKDE, VLDB Journal, Information Systems) in the field. He is a Junior-Fellow of the German Informatics Society (GI) and in 2016 received the Berlin Research Award (Young Scientist), awarded each year by the Governing Mayor of Berlin to a single researcher across all scientific disciplines.

Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany

Received: 2017-11-8
Accepted: 2017-11-8
Published Online: 2018-2-28
Published in Print: 2018-3-1

© 2018 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 7.3.2025 from https://www.degruyter.com/document/doi/10.1515/itit-2017-0035/html
Scroll to top button