Prof. Dr. Michael Kohlegger is a lecturer in Data Engineering, Data Science, and Software Development at the Management Center Innsbruck. Until September 2024, he was the Vice-Rector of FH Kufstein Tirol and led the degree programs in Data Science & Intelligent Analytics, Web Engineering & IT Solutions, as well as Coding & Digital Design. His work focuses on the storage and analysis of data, emphasizing a holistic processing approach from data collection to analysis. In addition to his leadership and teaching roles at FH Kufstein Tirol and the University of Innsbruck, he advises companies on implementing data-driven projects. After studying and earning his doctorate in Business Informatics at the University of Innsbruck, he worked in the industry for several years before accepting a position at FH Kufstein Tirol.
Professional work experience
- 10/2024 - present
Senior Lecturer in Data Science - FH Kufstein Tirol - University of Applied Sciences
- 10/2024 - present
Senior Lecturer in Information Systems - WU - Wirtschaftsuniversität Wien
- 10/2024 - present
Professor for Data Science & Data Engineering - MCI | Die Unternehmerische Hochschule
- 12/2021 - 09/2024
Director of Studies - FH Kufstein Tirol - University of Applied Sciences
- 11/2021 - 09/2024
Vice Rector - FH Kufstein Tirol - University of Applied Sciences
- 09/2017 - 12/2021
Vice Director of Studies - FH Kufstein Tirol - University of Applied Sciences
- 07/2016 - 09/2024
Professor for Data Science & Data Engineering - FH Kufstein Tirol - University of Applied Sciences
- 12/2013 - 06/2016
Business Analyst - SOS Children's Villages International
- 04/2013 - 09/2013
Research Assistant - University of Innsbruck
- 04/2009 - 03/2013
University Assistant - University of Innsbruck
Education
- 10/2009 - 06/2013
Dr. - University of Innsbruck
Business Informatics
- 10/2004 - 06/2008
Mag. - University of Innsbruck
Business Informatics
Teaching (faculty internships etc.)
- 10/2012 - 07/2015
Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik
Information Systems
- 01/2009 - 07/2015
WIFI Tirol
Technical Mathematics
Practice related research and developmental project
- 01/2023 - 09/2024
Co-Project Leader and Co Scientific Advisor - FH Kufstein Tirol - University of Applied Sciences
Vision2Move-Multi-Object Tracking in Mobility Systems
- 07/2022 - present
Co- Project Leader and Lead Scientific Advisor - FH Kufstein Tirol - University of Applied Sciences
ALMODA - Anomaly detection for detecting faulty signals in autonomous mobility
- 12/2018 - 12/2020
Project member - FH Kufstein Tirol - University of Applied Sciences
Digital map for culinary experiences and training program for Tyrolean restaurants
- 02/2018 - 08/2021
Project leader - FH Kufstein Tirol - University of Applied Sciences/TWF
Usability of voice assistants
- 01/2018 - 04/2021
Project Member and Project Lead FH Kufstein - FH Kufstein Tirol - University of Applied Sciences/Tiroler Leuchtturmförderung
Digital Tourism Expert
Other
- 01/2025 - present
Programm Committee Memebr of the Mini Conference on New Ways of Information Systems Education (NWISEd)
- 01/2000 - present
Programm Committee Member of the International Conference on AI Research (ICAIR).
Positions in professional/academic societies
- 05/2020 - present
Conference Board - International Conference on AI Research
Chapters in books
- Kohlegger M., Ploder C. (2018). Data Driven Knowledge Discovery for Continuous Process Improvement. In North K., Maier R., Haas O. (Eds.), Knowledge Management in Digital Change (pp. 65 - 81). Wiesbaden: Springer, https://doi.org/10.1007/978-3-319-73546-7_4
Peer reviewed academic/professional meeting proceedings
- Platter, L.; Bernsteiner R.; Kohlegger, M.; Ploder, C. (2025): Using Augmented Reality for Work Instructions: The Impact on Throughput Time, Error Rate and Cognitive Load. In: Proceedings of the 19th International Conference on Knowledge Management in Organizations (KMO 2025).
- Ascher, Sabine, Mirjam Klammsteiner, Michael Kohlegger. 2023. "Can you trust in me? A qualitative literature review on validation techniques for multi-sensory environments in autonomous driving." In: Proceedings of the Scientific Computing Conference 2023, Graz. pp. 136-141. https://2023.scientific-computing-conference.fh-joanneum.at/wp-content/uploads/sites/2/2023/04/Conference-Proceedings-Scientific-Computing.pdf
- Klammsteiner, Mirjam, Mario Döller, Patrik Golec, Michael Kohlegger, Ehtsham Rashid, Stefan Mayr. 2023. "Vision based stationary railway track monitoring system." In Proceedings of the 33th FRUCT conference, IEEE Explore, Zilina, Slovakia. doi: 10.23919/FRUCT58615.2023.10143067
- Ploder, C., & Kohlegger, M. (2018). A Model for Data Analysis in SMEs Based on Process Importance. In Knowledge Management in Organizations: 13th International KMO 2018, Proceedings (pp. 26-35). Cham: Springer. https://doi.org/10.1007/978-3-319-95204-8_3