Title: Smart Skin Sensors and Analytics in the Cloud to Advance the Frontiers of Wearable Health
Abstract: I will discuss recent efforts by my research group in combining skin-integrated wearable sensors with multi-modal analytics algorithms that can be efficiently implemented in the cloud. The end result is a suite of human-computer interface applications that on the one hand, blur the distinction between man and machine, while on the other, promotes humans and computers playing to their individual strengths. Some examples will be provided within the context of perinatal health and chronic disease management.
Bio: Todd P. Coleman received B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan. He received M.S. and Ph.D. degrees from MIT in electrical engineering, and did postdoctoral studies at MIT in neuroscience. He is currently an Associate Professor in Bioengineering at UCSD, where he directs the Neural Interaction Laboratory and co-Directs the Center for Perinatal Health. His research is highly inter-disciplinary, lying at the intersection of bio-electronics, medicine, and machine learning. He is conducting research in wearable health by wedding his research group's expertise in large-scale analytics with their recent development of "epidermal electronics”, featured in Science in 2011. Current applications of those synergies include perinatal health, chronic disease management, and cognitive monitoring during aging. Dr. Coleman is a science advisor for the Science & Entertainment Exchange (National Academy of Sciences) and his research has been featured on CNN, BBC, and the New York Times.
DiscoverE • Engineers Week San Diego (EWSD) • Banquet February 24, 2017