Jannis Walk

Dr.-Ing. Jannis Walk

  • Kaiserstr. 89

    D - 76133 Karlsruhe


Research Interests

  • Machine Learning & Deep Learning
  • Computer Vision
  • Data Analytics
  • Internet of Things
  • Industrie 4.0
  • Value Co-Creation
  • Sustainability, in particular through technological innovation


  • Exercise Industrial Services (WS18/19, WS19/20)
  • Seminar: Data Science for the Industrial Internet of Things (SS19, WS20/21)
  • Co-Lecturer Service Analytics (SS20, SS21)

Curriculum Vitae

Since June 2018, Jannis Walk is a Research Associate at the Digital Service Innovation group and a Data Scientist at Ceratizit Austria GmbH. He studied Industrial Engineering and Management at the Karlsruhe Institute of Technology. During his master studies he worked as a Research Associate in the Digital Service Innovation group for one and a half years.


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.

Data-centric Artificial Intelligence
Jakubik, J.; Vössing, M.; Kühl, N.; Walk, J.; Satzger, G.
Conference Papers
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Zschech, P.; Walk, J.; Heinrich, K.; Vössing, M.; Kühl, N.
2021. 29th European Conference on Information Systems (ECIS 2021), June 14 - 16, 2021 - Marrackech, Morocco Full textFull text of the publication as PDF document
Designing Chemical Emergency Response Systems Based on Open Data
Enders, T.; Kühl, N.; Walk, J.; Muff, M.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021 
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Treiss, A.; Walk, J.; Kühl, N.
2021. Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. Ed.: Y. Dong, 85–100, Springer. doi:10.1007/978-3-030-67670-4_6Full textFull text of the publication as PDF document
Conference Papers
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime
Walk, J.; Hirt, R.; Kühl, N.; Hersløv, E. R.
2020. Exploring Service Science : 10th International Conference on Exploring Service Science, IESS 2020, Porto, Portugal, February 05-07, 2020. Proceedings. Ed.: H. Nóvoa, Springer International Publishing. doi:10.1007/978-3-030-38724-2_8
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
Walk, J.; Kühl, N.; Schäfer, J.
2020. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020 Full textFull text of the publication as PDF document
Conference Papers
Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0
Bader, S.; Vössing, M.; Wolff, C.; Walk, J.; Maleshkova, M.
2017. Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional Knowledge Management), WM 2017, Karlsruhe, Germany, April 5-7, 2017. Hrsg.: Y. Sure-Vetter, 131–136, RWTH Aachen 
Simulation-Based Technician Field Service Management
Vössing, M.; Wolff, C.; Walk, J.
2017. Clausthal-Göttingen international Workshop on Simulation Science, Göttingen, Germany, 27th - 28th April 2017 
Towards a Service-oriented Business Model Framework for E-mobility
Walk, J.
2015. 4th European Battery, Hybrid and Fuel Cell Electric Vehicle Congress Brussels, 2nd - 4th December 2015