The Deggendorf Scientific Colloquium offers the opportunity to present and jointly discuss Phd projects as well as planned publications or lectures.

Planned lectures:

• Andreas Federl - Condition Monitoring by Operational Data Analysis Considering Tiny Machine Learning Concepts.
• Jan Schüler - Modulation and investigation of human renal cyst tissue in a 3D in vivo model
• Finn Süberkrüb - Learning highly efficient flight dynamics at the aerodynamic limit
• Lennart Röstel - Learning Models and State Estimators for Robotic Applications

Registration as lecturer or audience member to graduiertenzentrum@th-deg.de

Contact:

graduiertenzentrum@th-deg.de