Development and Application of Machine Learning and Artificial Intelligence (ML/AI) Techniques in Hydraulics Modeling - II

Moderator(s)

• 

  Xiaofeng Liu, PhD, PE

  Associate Professor
  Pennsylvania State University, Pennsylvania, United States
• 

  Roberto Fernandez, PhD

  Assistant Professor
  Pennsylvania State University, Pennsylvania, United States

Presentations:

• 10:00 AM – 10:15 AM Alaska Daylight Time (AKDT)

  Physics Informed Neural Networks for Levee Breach Flows
  

  Author: Shivakumar Balachandran – University of South Carolina

  Co-Author: Ezzat Elalfy – University of South Carolina

  Co-Author: Jasim Imran – University of South Carolina

  Co-Author: M. Hanif Chaudhry – University of South Carolina

  Co-Author: Erfan Goharian (he/him/his) – University of California, San Diego
• 10:15 AM – 10:30 AM Alaska Daylight Time (AKDT)

  Decoding Streamflow Patterns and Seasonal Timing with Data-Driven Techniques
  

  Author: Yu-Ju Hung – National Taiwan University

  Co-Author (not attending): Gene Jiing-Yun You – National Taiwan University
• 10:30 AM – 10:45 AM Alaska Daylight Time (AKDT)

  Improving Space-Time Image Velocimetry Accuracy with Deep Learning: Integrating Synthetic and Real-World Data
  

  Author: Alejandro Tenorio – Pennsylvania State University

  Co-Author: Roberto Fernandez, PhD – Pennsylvania State University

  Co-Author (not attending): Frank L. Engel, PhD – U.S. Geological Survey

  Co-Author: Xiaofeng Liu, PhD, PE – Pennsylvania State University
• 10:45 AM – 11:00 AM Alaska Daylight Time (AKDT)

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

  Author: Muhyminul Islam – University of Tennessee

  Author: Mohamed Shatarah – University of Tennessee, Knoxville

  Co-Author: Haochen Li – University of Tennessee
• 11:00 AM – 11:15 AM Alaska Daylight Time (AKDT)

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

  Author: Mohamed Shatarah – University of Tennessee, Knoxville

  Co-Author (not attending): Kai Liu – University of Tennessee

  Co-Author: Haochen Li – University of Tennessee