Xiaofan Jiang

Jiang’s research lies at the intersection of systems and data, with a focus on intelligent embedded systems and their applications in mobile and wearable computing, intelligent built environments, Internet of Things, and connected health. In the urban safety space, Jiang’s team is developing an intelligent wearable system that uses miniature microphones embedded in earphones or headsets, together with novel machine-learning classifiers, to detect and locate approaching vehicles and warn the wearer of imminent dangers from cars, buses, motorbikes, trucks, and trams. This research will help reduce pedestrian injuries and fatalities, and expand knowledge on designing wearable systems for enhancing safety in cities, workplaces, and the home.