Enhancing Human Health with Sensing & AI
“When I want to understand what is happening today or try to decide what will happen tomorrow, I look back.”
Our research commits to innovative, responsibly AI-driven health systems powered by ubiquitous computing. We look back at the data collected from our prototype devices to make sense of past events and anticipate future developments for the benefit of public health. If that sounds daunting, don’t worry. We provide the caffeine, the algorithms, and just enough chaos to keep things interesting while we tackle these challenges together. Join us!
This project combines traffic data analysis with advanced sensing and detection approaches to sense urban traffic, enhance road safety, and reveal hidden environmental and health risks.
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This project explores combining predictive modeling with human-centered system design to develop systems that align AI-driven insights with user needs and expertise.
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This research develops and evaluates sustainable sleep health monitoring systems that employs unconventional sensing solutions while assessing their accuracy as proxies for sleep quality and behavior.
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