Team > Prof. Dr. Agnes Koschmider

Law, Business & Economics
Business Informatics and Process Analytics

Agnes Koschmider is a professor of business informatics at the University of Bayreuth.

She is spokeswoman of the DFG research unit FOR 5495 SOURCED and co-applicant of NFDIxCS.

From 2019 to 2022 Agnes Koschmider was professor of business informatics at the Computer Science Institute of the University of Kiel . Before that she was a professor (associate professor) at the Poznań University of Economics and Business , visiting professor at the University of Cologne and Postdoc at the Institute for Applied Computer Science and Formal Description Methods at KIT . She completed her PhD in 2007 and her habilitation in Applied Informatics in 2015 at KIT. Between the PhD and habilitation, several scholarships followed with research stays at the TU Eindhoven, the Politechnical University of Valencia, the Alpen-Adria-Universität Klagenfurt and IBM Research (Almaden) .

She has published over 100 research papers and articles, including in Data & Knowledge Engineering, Decision Support Systems, Information Systems, IEEE Transactions on Cloud Computing, ACM Transactions on Management Information Systems, Business & Information Systems Engineering, and BPM Journal. Her work has been recognized with the Wolfgang Heilmann Prize, a Junior Fellowship from the German Society of Informatics and a postdoctoral fellowship from the University of Pretoria.

Publications:

• DBLP
• Google Scholar
• ResearchGate

Law, Business & Economics
Business Informatics and Process Analytics

Agnes Koschmider researches methods for data-driven analysis and explanation of processes (process mining), based on artificial intelligence, and methods for predicting process behavior. She is also researching on methods for privacy-preserving analysis and minimizing the re-identification of process data. At the center of her research is process analytics: developing a pipeline to efficiently process the complete chain from raw data (time series, sensor event data, and video data) to process discovery. The applications of such a data pipelines can be found in many disciplines such as medicine, agricultural sciences, geology, geography, material sciences or marine sciences.

Law, Business & Economics
Business Informatics and Process Analytics

Prof. Dr. Agnes Koschmider
Professor

Phone: +49 (0)921 55-4583
E-mail: agnes.koschmider@uni-bayreuth.de
Google Scholar: Google Scholar
ORCID: ORCID