Mohamed Shatarah

University of Tennessee, Knoxville, United States

Mohamed Shatarah is a graduate research assistant at the University of Tennessee. His research focuses on integrating computational fluid dynamics (CFD) with physics-guided neural networks and Reduced order modeling to solve environmental engineering problems.

Disclosure information not submitted.

Presentation(s):

• Real-Time Flood Simulation using Physics-Informed Operator Learning: A Novel Approach for Efficient and Accurate Predictions.

  Wednesday, May 21, 2025
  10:45 AM – 11:00 AM Alaska Daylight Time (AKDT)

• Real-time High-fidelity Reconstruction of CSTR Dynamics with Sparsed Sensor Data.

  Wednesday, May 21, 2025
  11:00 AM – 11:15 AM Alaska Daylight Time (AKDT)