Date & Time: September 26, 2023, at 1:30pm – 3:30pm EDT
Description: Digital Twin are envisioned to have the capability of forecasts and prediction based on modelling and simulation. This webinar features both geophysical-based modeling and AI/ML-based modeling for air quality by two experts. They are joined by two others to discuss the opportunities and challenges of integrated modeling for digital twins using air quality as an example. This webinar presents diversified views from government labs, centers, academia and innovation.
Registration: https://gmu.zoom.us/meeting/register/tJAqcuipqTIiG9AcgeN7pbgEKdmI0xuc-6Yo
Moderated by: Dr. Manzhu Yu from PSU and Dr. Fengxiu Zhang, GMU
| Tuesday, September 26, 2023 | |||||
| Begin | End | Agenda | Content | ||
| 1:30 PM | 2:00 PM | Using AI/ML to Predict What We Breath, Dr. Mohammad Pourhomayoun, CSU-LA | Notes Recording Presentation | ||
| 2:00 PM | 2:30 PM | Modeling Air Quality Using Multi-Scale Infrastructure, Dr. Wenfu Tang, NCAR, MUSICA | Notes Recording Presentation | ||
| 2:30 PM | 2:40 PM | Panelist: Air Quality Practice and Challenges, Dr. Thomas Huang, NASA JPL | Notes Recording | ||
| 2:40 PM | 2:50 PM | Panelist: Using AI and Geographical Models to Fuse Air Quality Data, Mrs. Anusha Srirenganathanmalarvizhi, George Mason University | Notes Recording Presentation | ||
| 2:50 PM | 3:30 PM | Panel Discussion, Q&As | Notes Recording | ||