Prof.
Dr. rer. nat.
Markus Lange-Hegermann
Professor Markus Lange-Hegermann received his PhD in algorithmic differential algebra from RWTH Aachen University in 2014. While working in industry, he developed a passion for data science and machine learning. Since 2018, he has been Professor of Mathematics and Data Science at TH OWL. He is also a member of the board of the Institute Industrial IT (inIT). His research focuses on probabilistic machine learning and industrial applications. These include data-driven modeling and subsequent optimization, particularly for time-dependent processes. Another focus is dealing with uncertainties and incorporating physical prior knowledge described by differential equations.
He loves data science hackathons, an algebraic perspective on machine learning, and Bayes' theorem.
inIT - Institut für industrielle Informationstechnik
Campusallee 6
32657 Lemgo
Room: LE 11.118
- 2003 - 2004: Zivildienst / civil service
- 2004 - 2008: Diplom (Master equivalent) Computermathematik, RWTH Aachen
- 2008 - 2014: Dr. rer. nat. (PhD equivalent), RWTH Aachen
- 2014 - 2017: FEV GmbH, R&D
- 2017 - 2018: P3 automotive GmbH, Data Science Consulting
- 2018 - : TH OWL, Professor für Mathematik und Datenwissenschaften
- 2021 - : PK.NRW, Vollmitglied
- 2022 - : inIT, Vorstandsmitglied (board member)
- 2025 - : ELIIS, Member
- 2026 - : ELLIS Unit NRW
- Awards
- TMLR Expert Reviewer Recognition (2025)
- Forschungspreis TH OWL (2024)
- Top reviewer award (NeurIPS 2023)
- Outstanding reviewer award (NeurIPS 2021)
- Best poster award (Bosch AI CON 2019)
- Borchers Plakette for outstanding dissertation (2014)
- Springorum Denkmünze for outstanding diploma (2009)
- Academic self government (in German, with rough translations)
- 2023: Externes Mitglied der Berufungskomission "Mathematik und Angewandte Informatik" an der Technischen Hochschule Würzburg-Schweinfurt (external member of search committee for a professorship)
- 2022: Mitglied der Berufungskomission "Technologies of Digital Transformation" (member of search committee for a professorship)
- 2018-: Mitglied des Fachbereichsrats (member of the governing body of the department)
- 2020-: Stellvertretender Vorsitz des Prüfungsausschuss der Bachelorstudiengänge des Fachbereichs (vice chairman of the examination board for undergraduate students)
- 2020-: Mitglied der Arbeitsgruppe Prüfungsordnungen (member of the working group of examination regulations)
- 2019-: Studiengangssprecher Bachelor Data Science (chairman of the data science study programm)
- 2021: Vorsitzender der Berufungskommission "W2-Professur Informatik mit dem Schwerpunkt Wissensbasierte Systeme" (chairman of search committee for a professorship)
- 2018-2020: Vorsitz des Prüfungsausschuss Bachelor Data Science (chairman of the examination board for the data science study programm)
- Further activities
- Since 2022: Founding member of the Informatics Europe working group "Data Analysis and Reporting"
- Since 2021: Member of the Promotionskolleg NRW
- Since 2020: Founding member of the AICOmmunityOWL
- (Co-)Organized several Hackathons
- Organized the machine learning reading group
- Editorial Activities:
- TMLR Action Editor 2025-
- Senior Area Chair: Conference on Neural Information Processing Systems (NeurIPS, CORE A*): 2026
- Area Chair: Conference on Neural Information Processing Systems (NeurIPS, CORE A*): 2024, 2025
- Conference and Workshop Organization
- Workshop on Computer Algebra and Control Theory I, Joint 9th IFAC Symposium on System Structure and Control, 19th IFAC Workshop on Time Delay Systems and 2nd IFAC Workshop on Control of Complex Systems, 2025
- International Workshop on Learning from Small Data, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD, 2025
- Reviewer Journals:
- Journal of Symbolic Computation (JSC): 2017, 2018, 2020, 2023
- Transactions on Automatic Control (TAC): 2019
- Transactions on Machine Learning Research (TMLR): 2022, 2023, 2024, 2025
- Control Systems Letters (L-CSS): 2023
- Analysis and Applications: 2023
- ACM Transactions on Evolutionary Learning and Optimization: 2023
- Linear Algebra and Its Applications: 2024
- Mechanics Research Communications: 2026
- Reviewer on CORE-ranked Conferences in CS:
- International Conference on Learning Representations (ICLR, CORE A*): 2026
- Conference on Neural Information Processing Systems (NeurIPS, CORE A*): 2021, 2022, 2023
- International Conference on Artificial Intelligence and Statistics (AISTATS, CORE A): 2021, 2022, 2023, 2024, 2025, 2026
- International Symposium on Symbolic and Algebraic Computation (ISSAC, CORE A): 2010, 2020
- International Joint Conference on Neural Networks (IJCNN, CORE B): 2022
- Reviewer on other conferences:
- GI Informatik Festival Workshop "Data Science Projekte: Von der Wissenschaft bis zur Anwendung": 2024
- IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): 2023
- IEEE International Conference on Industrial Informatics (INDIN): 2023
- Bildverarbeitung in der Automation (BVAu): 2022
- International Conference on Automation Science and Engineering (CASE): 2018, 2020
- Machine Learning for Cyber Physical Systems (ML4CPS): 2019
- Multidimensional Systems and Signal Processing (MSSP): 2013
- Reviewer on math conferences:
- Applications of Computer Algebra (ACA): 2018
- The International Symposium on Symbolic and Algebraic Computation (ISSAC): 2010
- Reviewer of funding
- It's OWL: 2022
- Internal funding in the interdisciplinary AI institute 3IA Côte d’Azur: 2023
Supervision and examination of PhD theses
- Jan David Hüwel, Adaptive Modeling and Signal Discovery in Time Series Data (2025, examiner at Fernuniversität in Hagen)
- Matthias Bitzer, Efficient Model Learning for Gaussian Processes with Transformers, Kernel-Kernels and Active Learning (2024, examiner at Technischen Universität Berlin)