Matthias Weidlich

Matthias Weidlich is a full Professor and Chair of Databases and Information Systems in the Department of Computer Science at Humboldt University of Berlin since 2018, previously serving as a junior professor from 2015 supported by the German Research Foundation (DFG) Emmy-Noether Programme. He held research positions at Imperial College London and Technion – Israel Institute of Technology prior to his Berlin appointment.

Education:

• PhD in Computer Science, Hasso Plattner Institute (HPI), University of Potsdam

Research Interests:

Weidlich's work centers on three interconnected pillars: (1) data-driven process mining techniques for optimizing operations in healthcare and logistics; (2) efficient algorithms for streaming data analysis, particularly pattern detection in IoT infrastructures; and (3) exploratory data analysis frameworks enabling reproducible scientific workflows in astrophysics and bioinformatics collaborations.

Scientific Awards:

• Best Paper Award at ICPM 2023
• Best Paper Award at ACM DEBS 2022
• Best Paper Award at BPM 2017
• Berlin Young Scientist Award (2016)
• Junior-Fellow of the German Informatics Society (GI)

Professional Service:

• Steering Committee Member, BPM conference series
• Steering Committee Member, ACM DEBS conference series
• Co-Editor-in-Chief, Information Systems journal
• Associate Editor, The VLDB Journal
• Associate Editor, Process Science
• Organizer, German Informatics Society Mentoring Programme

Advising and Grants:

• Advising: Coordinates mentorship initiatives connecting students with industry professionals through German Informatics Society programmes
• Grants: DFG Emmy-Noether Programme funding (2015) for junior professorship establishing his research group