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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 PM

Biography

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.
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