Prof.
Dr. rer. nat.
Markus Lange-Hegermann
Professor Markus Lange-Hegermann did his PhD (2014) about algorithmic differential algebra at RWTH Aachen. While working in industry, he fell in love with data science and machine learning. He is currently professor of math and data science (since 2018) at TH OWL and board member of the institute for industrial information technology (inIT). His research is centered on probabilistic machine learning. He is interested in industrial applications, often in data based modeling and subsequent optimization, in particular considering time dependencies, uncertainties, and physical knowledge given by differential equations. He loves organizing data science focused hackathons, seeing machine learning through algebraic lenses, and Bayes' theorem. Theses upon consultation.
inIT - Institut für industrielle Informationstechnik
Campusallee 6
32657 Lemgo
Room: CIIT EG 3.12
- 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
- 2022 - : inIT, Vorstandsmitglied (board member)
- Awards
- 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-: Mitgleid 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
- 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
- Control Systems Letters (L-CSS): 2023
- Analysis and Applications: 2023
- ACM Transactions on Evolutionary Learning and Optimization: 2023
- Linear Algebra and Its Applications: 2024
- Reviewer on CORE-ranked Conferences in CS:
- 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
- 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
- Matthias Bitzer, Efficient Model Learning for Gaussian Processes with Transformers, Kernel-Kernels and Active Learning (2024, examiner at Technischen Universität Berlin)