Julian Knaup

Julian Knaup is a Research Associate at the Institute for Industrial Information Technology (inIT) at TH OWL since 2022, focusing on robust machine learning model training through semantically relevant data generation as part of the SAIL - Sustainable Life-cycle of Intelligent Socio-Technical Systems project. He is pursuing his doctorate in collaboration with the Promotionskolleg NRW (Department of Technology and Systems).

• Education:
  • B.Sc. in Electrical Engineering (2016-2019), TH OWL
  • M.Sc. in Information Technology (2019-2022), TH OWL

Research Interests include machine learning robustness, sensor fusion, and AI applications in industrial systems. His work emphasizes sustainable development of intelligent socio-technical systems through data augmentation and real-time processing.

Scientific Awards:

• 2022: BestMasters by Springer Nature
• 2024: Best Track Paper Award at IEEE RTSI

Contact: julian.knaup@th-owl.de