Christian is a Visiting Researcher in the Centre for Digital Value group of the Institute for Manufacturing at the University of Cambridge. He is also a Research Associate at Helmut Schmidt University (HSU) in Hamburg, Germany, a Visiting Researcher at the University of Auckland, New Zealand, and the Composite Technology Center (CTC) of Airbus in Stade, Germany. His work is part of the project "Laboratory for intelligent lightweight production (LaiLa)", funded by dtec.bw and the European Union, in which he is conducting research on how to apply Digital Twins (DT) in manufacturing more effectively.

In Cambridge, Christian works on top-tier journal paper publications on DTs in collaboration with the Karlsruhe Institute for Technology (KIT). His research has been presented at various international conferences in Canada, USA, Singapore, Australia, New Zealand, South Africa, Malaysia, Thailand, Italy, and Germany. He has also published his research findings in prestigious academic journals, such as Computers in Industry and Machines. In addition to his research, Christian supports the Association of German Engineers (VDI) in developing a standard for Digital Twins. He also serves as an assistant to the board of the German Academic Association for Production Technology (WGP).

Christian studied Industrial Engineering and Management (B.Sc. and M.Sc.) in Germany and Australia. Before his doctoral research, he gained valuable industry experience as a transnational project leader for Airbus, responsible for the smooth implementation of product modifications in Germany, United Kingdom, France, Spain, USA, and China. He also worked for Mercedes-Benz, where he developed a lightweight structural component, winning several prizes, resulting in a patent.

Throughout his academic journey, Christian has received numerous scholarships and awards for his outstanding performance, personality, and social commitment. He has demonstrated an ongoing interest in entrepreneurship, having co-founded a venture during his studies. Beyond academia, Christian has a diverse range of interests. He used to be a competitive swimmer, winning several medals on a national level. Currently, he enjoys volleyball and dancing.

Selected Publications:

Kober, C., Fette, M., Wulfsberg, J.P. (2022): Challenges of Digital Twin Application in Manufacturing, Proceedings of the 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Kuala Lumpur: IEEE XPlore, pp. 162-168, https://doi.org/10.1109/IEEM55944.2022.9989654

Kober, C., Adomat, V., Ahanpanjeh, M., Fette, M., Wulfsberg, J.P. (2022): Digital Twin Fidelity Requirements Model For Manufacturing, In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the 3rd Conference on Production Systems and Logistics (CPSL 2022). Vancouver: publish-Ing., pp. 595-611, https://doi.org/10.15488/12145

Kober, C., Algan, B.N., Fette, M., Wulfsberg, J.P. (2023): Relations of Digital Twin Fidelity and Benefits: A Design-to-Value Approach, Proceedings of the 33rd CIRP Design Conference, Sydney: Procedia CIRP, vol. 119, pp. 809-815, https://doi.org/10.1016/j.procir.2023.03.126

Kober, C., Fette, M., Wulfsberg, J.P. (2023): A Method for Calculating Optimum Digital Twin Fidelity, Proceedings of the 56th CIRP Conference on Manufacturing Systems, Cape Town: Procedia CIRP, vol. 120, pp. 1155-1160, https://doi.org/10.1016/j.procir.2023.09.141

Kober, C., Buxbaum-Conradi, S., Fette, M., Wulfsberg, J.P. (2024): Digital Twins: A Critical Perspective and Research Trends, Proceedings of the 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Bangkok: IEEE Xplore (in press).

Kober, C., Gomez Medina, F., Benfer, M., Wulfsberg, J.P., Martinez, V., Lanza, G. (2024): Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices, Computers in Industry, vol. 161, 104135, https://doi.org/10.1016/j.compind.2024.104135

Adomat, V., Ehrhardt, J., Kober, C., Ahanpanjeh, M., Wulfsberg, J.P. (2022): A Machine Learning Approach for Revenue Management in Cloud Manufacturing, Proceedings of the 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2022, Naples: Procedia CIRP, vol. 118, pp. 342-347, https://doi.org/10.1016/j.procir.2023.06.059

Further publications:

ResearchGate

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