Vita

• Studium Bachelor Informatik am KIT, Ergänzungsfach Mathematik
• Studium Master Informatik am KIT, Ergänzungsfach Elektrotechnik
• seit 2016 akademischer Mitarbeiter IUMS

Teaching

Vorlesung Grundlagen Informatik VSM

Research

• Intelligenter Montagearbeitsplatz
• Machine Learning
• Computer Vision

Publications

• Hansert, J., Koch S., Wunderlich, T., Ihlenfeldt, S., Schlegel, T.: Towards Maintainable Resilient Production Systems, 24. Workshop Software-Reengineering und -Evolution (WSRE 2022).
• Koch, S., Wunderlich, T., Hansert, J., Schlegel, T., Ihlenfeldt, S., Heinrich, R.: A Cross-Disciplinary Process Modelling Language for Validating Reconfigured Production Processes. Modellierung 2022.
• Kramer, J. C.; Golda, T.; Hansert, J.; Schlegel, T. : Improving Temporal Consistency in Aerial Based Crowd Monitoring Using Bayes Filters. Konferenzband: Artificial Intelligence - Application in life sciences and beyond; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2021), S. 224-233.
• Koch, S.; Wunderlich, T.; Hansert, J.; Heinrich, R.; Schlegel, T. : Tackling Problems on Maintenance and Evolution in Industry 4.0 Scenarios Using a Distributed Architecture. EMLS 2021: 8th Colloaborative Workshop on Evolution and maintenance of Long-Living Software Systems
• Drixler, K., Lyssenko, L., Lander, J., Hansert, J., Schlegel, T., Dierks, M. L., & Bitzer, E. M. 2020. Deutscher Kongress für Versorgungsforschung.
• Hansert J, Pecaut M, Schlegel T: Comparison of CNN for the detection of small objects based on the example of components on an assembly table. Konferenzband: Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020), Seite 115-125.
• Henrich V, Struwe S, Koch S, Hansert J, Schlegel T: Resiliente soziotechnische Prozesse im industriellen Internet der Dinge. In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb,  Nr. 115(3).
• Hansert J., Trefzger M., Schlegel T.: Interactive AR Models in Participation Processes. In: Chen J.Y.C., Fragomeni G. (eds) Virtual, Augmented and Mixed Reality. Design and Interaction. HCII 2020 (Copenhagen, Denmark, July 19-24, 2020). Lecture Notes in Computer Science, vol 12190. Springer, Cham, S. 50-62.
• Lutze T, Hansert J, Lunt B, Schlegel T: Interactive guidance and real-time fault recognition for manual operations through a stationary AR system and visual object detection. In: Bleimann U, Humm B, Loew R, Regier S, Stengel I, Walsh P (Hrsg.): CERC2017 Collaborative European Research Conference: Proceedings, S. 61-64.