Max Schemmer, M.Sc.

Max Schemmer, M.Sc.

  • Kaiserstr. 89
    76133 Karlsruhe

Activities

Max is a research associate at the Applied AI Lab within the Karlsruhe Service Research Institute (KSRI).

His research interests include:

  • Applied Artificial Intelligence
  • Applied Machine Learning & Deep Learning
  • AI-based Services / Servitization
  • Human-Machine-Collaboration
  • Industry 4.0
  • Computer Vision

Please feel free to reach out if you are interested in writing a bachelor or master thesis on one of these topics.

Curriculum Vitae

Max Schemmer earned his Bachelor's degree in Economics at the University of Cologne. He graduated with a Master's degree in Economics Engineering from the Karlsruhe Institute of Technology (KIT). As part of the master's degree, he studied at the University of Southern Denmark with a focus on data science and robotics. From August 2020 he is working on his PhD in cooperation with IBM in the Applied AI Lab of the Digital Service Innovation group. During his doctorate he is working on the topic AI-based Servitization.

Publikationsliste


Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence.
Schemmer, M.; Kühl, N.; Satzger, G.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55) 
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review.
Hemmer, P.; Schemmer, M.; Vössing, M.; Kühl, N.
2021. PACIS 2021 Proceedings
Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes.
Knierim, M.; Schemmer, M.; Woehler, D.
2021. 12th International Conference on Applied Human Factors and Ergonomics (AHFE 2021)
Predicting In-Field Flow Experiences Over Two Weeks From ECG Data: A Case Study.
Knierim, M.; Pieper, V.; Schemmer, M.; Loewe, N.; Reali, P.
2021. Proceedings NeuroIS Retreat 2021. Ed.: F.D. Davis, 107–117, Springer
Exploring the Recognition of Facial Activities Through Around-the-Ear Electrode Arrays (cEEGrids).
Knierim, M.; Schemmer, M.; Perusquía-Hernández, M.
2021. NeuroIS Retreat 2021: June 1-3, 2021 based on MS Teams
IBM Service Transformation: From product suppliers to service providers.
Brandes, M.; Osthues, S.; Bach, M.; Schel, P.; Büsching, A.; Schmidt, U.; Monger, M.; Schnürer, F.; Müller, P.; Satzger, G.; Kühl, N.; Vössing, M.; Schemmer, M.
2021
Conceptualizing Digital Resilience for AI-Based Information Systems.
Schemmer, M.; Heinz, D.; Baier, L.; Vössing, M.; Kühl, N.
2021. Proceedings of the 29th European Conference on Information Systems (ECIS), An Online AIS Conference, June 14 - 16, 2021