Dr.-Ing. Julian David Schiller

Julian David Schiller Julian David Schiller © IRT
Dr.-Ing. Julian David Schiller
Address
Appelstraße 11/11a
30167 Hannover
Building
Room
Julian David Schiller Julian David Schiller © IRT
Dr.-Ing. Julian David Schiller
Address
Appelstraße 11/11a
30167 Hannover
Building
Room

Fields of Interest

  • Control and estimation of nonlinear systems
  • Optimization-based methods and turnpike theory
  • Control theory at the interface with machine learning

Bio

Dr.-Ing. Julian D. Schiller is a postdoctoral researcher at the Institute of Automatic Control, Leibniz University Hannover. He received his Doctor of Engineering degree in 2025 with summa cum laude distinction, following doctoral studies at the same institute. He previously completed a Master of Science in Mechatronics, also with summa cum laude distinction, and a Bachelor of Science in Mechatronics at Leibniz University Hannover. His academic background is complemented by practical technical training as a mechatronics technician.

His research focuses on optimization-based methods for estimation and control of nonlinear dynamical systems, turnpike theory, and their interface with deep learning. His work has appeared in leading venues such as IEEE Transactions on Automatic Control, Automatica, and ICLR. He has received several distinctions, including the 2023 IEEE Process Control TC Outstanding Student Paper Prize, finalist recognition for the Young Author Award at NMPC 2024, and selection as keynote speaker at NMPC 2021. He is a member of two IEEE CSS Technical Committees, regularly serves as a reviewer for leading journals and conferences in systems and control, and contributes to academic advisory activities in the Master’s program in Mechatronics and Robotics at Leibniz University Hannover.

List of publications

Further Contact Details and Research Networks