Physics-Informed Few-Shot Learning for Accurate Gear Wear Monitoring in Digital Twin Systems
Tracks
Program
Tuesday, May 20, 2025 |
4:00 PM - 4:30 PM |
Speaker
Roee Cohen
Ben-Gurion University of the Negev
Physics-Informed Few-Shot Learning for Accurate Gear Wear Monitoring in Digital Twin Systems
4:00 PM - 4:30 PMBiography
Roee Cohen earned both a Bachelor's and Master's degree in Mechanical Engineering from Ben-Gurion University. Currently in the third year of a Ph.D. program, [Your Name] specializes in the diagnostics and prognostics of gears. Their research focuses on integrating advanced technologies such as digital twin applications, dynamic modeling, and vibration analysis to enhance gear performance and reliability. With a strong foundation in engineering and a passion for innovation.
