IISM | Digital Service Innovation  Prof. Dr. Gerhard Satzger
Lucas Baier, M. Sc.

Lucas Baier, M. Sc.

  • Kaiserstr. 89

    D - 76133 Karlsruhe


Lucas Baier is a research associate at the digital service innovation group within the Institute of Information Systems and Marketing (IISM). He is a member of the Applied AI in Services lab.



  • Machine Learning in Data Streams
  • Concept Drift Handling in Real-World Applications
  • Sustainable Application of Machine Learning Models
  • Analytics in Healthcare



If you are interested in writing a Bachelor or Master thesis, feel free to contact me at any time. 

Curriculum Vitae

Lucas Baier studied Industrial Engineering at Karlsruhe Institute of Technology during his Bachelor and Master and spent a semester abroad in Madrid. He wrote his Master thesis in cooperation with ABB about the data-driven prediction of faults in a chemical batch process


Due to the interdisciplinary activities of KSRI researchers publication lists also contain publications that have not explicitly been developed in the course of their activities at KSRI.

Journal Articles
Conference Papers
Handling Concept Drift for Predictions in Business Process Mining.
Baier, L.; Reimold, J.; Kühl, N.
2020. Proceedings of 22nd IEEE International Conference on Business Informatics Full textFull text of the publication as PDF document
Handling Concept Drifts in Regression Problems – the Error Intersection Approach.
Baier, L.; Hofmann, M.; Kühl, N.; Mohr, M.; Satzger, G.
2020. Proceedings of 15th International Conference on Wirtschaftsinformatik, 2020, Potsdam, Germany Full textFull text of the publication as PDF document
Conference Papers
Challenges in the Deployment and Operation of Machine Learning in Practice.
Baier, L.; Jöhren, F.; Seebacher, S.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 163, AIS Electronic Library (AISeL) Full textFull text of the publication as PDF document
How to Cope with Change? Preserving Validity of Predictive Services over Time.
Baier, L.; Kühl, N.; Satzger, G.
2019. Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, Januar 8-11, 2019, 1085–1094, University of Hawai’i at Manoa / AIS Full textFull text of the publication as PDF document