4th Digital Twin Webinar

On September 26^th, the 4th Digital Twin webinar kicked off with a focus on integrating cutting-edge technologies such as artificial intelligence (AI), machine learning, and geophysical models to revolutionize the field of air quality modeling. 

With keynote speakers, Dr. Muhammad of California State University, Los Angeles,  shed light on how machine learning and AI can predict air quality with high accuracy. Our second keynote speaker, Dr. Wenfu Tang from NCAR, unveiled the recent developments in MusicaMUSICA, a groundbreaking model set to replace Wolf Cam. MusicaMUSICA, described as a multiscale model for air quality, holds potential to provide more accurate and reliable data for environmental assessments and decision-making.

The event attracted a diverse group of participants from various agencies and institutions, to gain deeper insights into the applications of digital twin technology in advanced environmental modeling. As the 4th Digital Twin webinar conference progressed, experts and participants actively discussing the insights and innovations that have emerged, and their aim to create a cleaner and healthier future through the fusion of AI, geophysical modeling, and advanced environmental simulation techniques. 

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Dr. Mohammad Pourhomayoun focused on using Artificial Intelligence (AI) to predict air quality and create a digital twin model for air quality.

Dr. Wenfu Tang focused on air quality modeling, with an emphasis on the use of the MUSICA model.