Imanuel Heider, M.Sc.

Area of Research:

Control architectures in production plants
Machine learning in production science

Projects:

AutoLern – Self-learning machine tools for highly efficient manufacturing

Curriculum Vitae:

since 09/2021	Research Associate at the Institute of Production Science (wbk) at Karlsruhe Institute of Technology (KIT)
09/2019-07/2021	Study of Mechanical Engineering (M.Sc.) at Tongji University \|同济大学
04/2018-07/2021	Study of Mechanical Engineering (M.Sc.) at Karlsruhe Institute of Technology (KIT)
10/2013-04/2018	Study of Mechanical Engineering (B.Sc.) at Karlsruhe Institute of Technology (KIT)

Publications

Efficient Deployment of Machine Learning Models in Manufacturing and Industrial Environments using ROS
Frisch, M.; Baumgärtner, J.; Heider, I.; Puchta, A.; Fleischer, J.
2024. Procedia CIRP, 130, 188–193. doi:10.1016/j.procir.2024.10.074

Supervised Domain Adaptation for Surface Defect Detection Leveraging Partial Data Availability
Heider, I.; Baumgärtner, J.; Bartz, P.; Puchta, A.; Fleischer, J.
2024. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, 28th August 2024 - 1st September 2024, 4134 – 4139, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CASE59546.2024.10711640

Towards a Testing Framework for Machine Learning Model Deployment in Manufacturing Systems
Heider, I.; Baumgärtner, J.; Bott, A.; Ströbel, R.; Puchta, A.; Fleischer, J.
2024. 10th CIRP Conference on Assembly Technology and Systems (CIRP CATS 2024) Hrsg.: Fleischer , Jürgen; Jörg, Krüger, 127, 122–128. doi:10.1016/j.procir.2024.07.022

KI-Transferzentrum für die Industrie
Hansjosten, M.; Oexle, F.; Gönnheimer, P.; Heider, I.; Puchta, A.; Fleischer, J.
2023. wt Werkstattstechnik online

Misalignment detection on linear feed axis using sensorless motor current signals
Demetgul, M.; Zihan, M.; Heider, I.; Fleischer, J.
2023. The International Journal of Advanced Manufacturing Technology, 126 (5-6), 2677–2691. doi:10.1007/s00170-023-11258-8

KI-Einsatz in KMU: Einstiegshürden ausräumen [Clearing entry hurdles for AI deployment in SMEs – Artificial intelligence for German SMEs]
Heider, I.; Yu, H.; Krischke, N.; Wirth, B.; Puchta, A.; Fleischer, J.
2023. wt Werkstattstechnik online, 113 (07-08), 282 – 287. doi:10.37544/1436-4980-2023-07-08-16

Effiziente Implementierung von KI-Anwendungen : Ansätze zur Erhöhung der Verwertbarkeit von KI-Anwendungen bei produzierenden KMUs = Practical implementation of AI applications
Brand, J.; Heider, I.; Schmid, D.; Friedmann, M.; Gönnheimer, P.; Fleischer, J.
2022. WT Werkstattstechnik, 112 (7-8), 506–510. doi:10.37544/1436-4980-2022-07-08-60