Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Databases and Information Systems

Matthias Weidlich

Matthias WeidlichSince October 2018, Matthias has been a full professor at the Department of Computer Science at Humboldt-Universität zu Berlin (HU). He joined the department in April 2015 as a junior professor, supported by German Research Foundation (DFG) through the Emmy-Noether Programme. Earlier, he worked as a research associate at the Department of Computing at Imperial College London and as a research fellow and adjunct lecturer at the Technion - Israel Institute of Technology. He holds PhD (Dr. rer. nat.) in Computer Science from the Hasso Plattner Institute (HPI), University of Potsdam.

Matthias' research interests include data-driven approaches to the analysis of process-oriented systems, aka process mining, algorithms for efficient processing of streaming data, and models and methods for exploratory data analysis.

 

Profiles

 

Awards

  • Best Paper Award at ACM DEBS'22: S. Purtzel, S. Akili, M. Weidlich: Predicate-based push-pull communication for distributed CEP.
  • Best Student Paper Award at ICPM'21: S. A. Fahrenkrog-Petersen, M. Kabierski, F. Rösel, H. van der Aa, M. Weidlich: SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining.
  • Distinguished Paper Award at CAiSE'21: M. Kabierski, S. A. Fahrenkrog-Petersen, M. Weidlich: Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms.
  • Best Student Paper Award at ER'20: K. Winter, H. van der Aa, S. Rinderle-Ma, M. Weidlich: Assessing the Compliance of Business Process Models with Regulatory Documents.
  • Runner-Up Best Paper Award at BPM'19: M. Bauer, H. van der Aa, M. Weidlich: Estimating Process Conformance by Trace Sampling and Result Approximation.
  • Best Reviewer Award at Software and Systems Modeling (SoSyM), awarded in 2018
  • Best Paper Award at BPM'17: A. Senderovich, M. Weidlich, A. Gal: Temporal Network Representation of Event Logs for Improved Performance Modelling in Business Processes.
  • Runner-up for the Heinz Maier-Leibnitz Prize 2017, nominated by HU Berlin
  • Berlin Young Scientist Award, awarded by the Governing Mayor of Berlin in 2016
  • Junior-Fellow of the German Informatics Society (GI), awarded 2016
  • Research Prize at the 'Forum for Excellent Young Scientists' 2016 by Stiftung Industrieforschung
  • Grand Challenge Audience Award at ACM DEBS'14: R. Castro Fernandez, M. Weidlich, P. R. Pietzuch, A. Gal: Scalable stateful stream processing for smart grids.
  • Grand Challenge Audience Award at ACM DEBS'13: A. Gal, S. Keren, M. Sondak, M. Weidlich, H. Blom, C. Bockermann: Grand challenge: the TechniBall system.
  • Best Reviewer Award at BPM'12
  • Runner-up for the Doctoral Dissertation Award in Computer Science by the German Informatics Society (GI)
  • Best Paper Award at ICSOC'10: S. Smirnov, M. Weidlich, J. Mendling: Business Process Model Abstraction Based on Behavioral Profiles.

 

Scientific Service

  • Steering Committee of the ACM DEBS conference series, since 2017
  • Co-Editor-in-Chief of Information Systems, since 2020
  • Associate Editor of the VLDB Journal, since 2022
  • Co-Section Editor of The Springer Encyclopedia on Big Data Technologies, since 2017, with M. Dumas
  • Area Editor of Information Systems, 2015-2020
  • PC Co-Chair: DEBS 2018, BPM 2015, WS-FM 2014. Workshop Co-Chair: ICPM 2022, BPM 2017. General Co-Chair: DEBS 2016.
  • Senior PC and PC member: regularly for VLDB, ICDE, BPM, CAiSE, DEBS, ICPM.

 

University Committees

  • Deputy Head of Department, Department of Computer Science
  • Elected member of the Academic Council of HU Berlin
  • Elected member of the Department Council, Department of Computer Science
  • Appointed member of the Committee for the Assessment of Scientific Misconduct at HU Berlin
  • Member of the Examination Board, Department of Computer Science
  • Member of the Joint Committee for the Information Systems Program