Mike, Bergin, Ph.D., 糖心传媒, will discuss several recent studies conducted by his research group and their collaborators, including the application of low-cost air quality sensors to determine personal exposure and the influence of indoor air filtration on children鈥檚 health. He will also discuss the application of machine learning to managing low-cost sensor networks. In addition, Dr. Bergin will discuss the use of satellite imagery to determine highly spatially resolved neighborhood level PM2.5 concentrations, air pollution hot spots, and plumes. Lastly, he will describe a deep learning approach to image analyses for facial recognition that holds great promise in linking human sentiment with environmental contaminants. Overall, the theme of this talk will highlight the exciting future of EHHDA and will emphasize the need to further develop key collaborations across disciplines.