Mikhail Polikarpov, M.Sc., studied mechanical engineering and production engineering at RWTH Aachen. Parallel to his studies he was working as a research assistant in the areas of mobile robotics and discrete event simulation. His research focus at IPS is the improvement of process efficiency and quality in industrial contexts by utilization of digital twins and artificial intelligence.

• Smart quality
• Digital twins
• AI in industrial contexts

• Supervision of project work and theses
• Conducting lecture series
• Conducting tutorials for the lectures

• Operative deployment of IoT technologies
• Creation of digital twins of industrial plants and products
• Data-driven improvement of process efficiency

• Münker, Sören; Polikarpov, Mikhail; Schmitt, Robert H. (2020): Virtuelle Demontage für XL-Produkte/Assembly Sequence Generation for XL-Products – Virtual Disassembly for High Numbers of Components. In: wt Werkstattstechnik online 110 (11-12), 833-837. DOI: 37544/1436-4980-2020-11-12-97
• Polikarpov, Mikhail; Emelianov, Georgii; Hübner, Fabian; Farooq, Aqib; Prasad, Rekha; Deuse, Jochen; Schiemann, Jochen (2022): Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants. In: IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 6.-9-09.2022, Stuttgart (Germany). DOI: https://doi.org/10.1109/ETFA52439.2022.9921641