Philipp Eisele
Philipp brings deep expertise in cognitive production systems, advanced manufacturing technologies and AI-supported industrial automation. His research focuses on designing intelligent system architectures that make production processes more adaptive, precise and resource-efficient. Philipp integrates methods from machine learning, sensor technology and mechanical engineering to create solutions that support flexible, human-centred and high-performance manufacturing. He holds a PhD in Mechanical Engineering from TU …
