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.

Journal Articles
Data-Centric Artificial Intelligence
Jakubik, J.; Vössing, M.; Kühl, N.; Walk, J.; Satzger, G.
2024. Business & information systems engineering. doi:10.1007/s12599-024-00857-8
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