Physical Knowledge Discovery in the Internet of Things Prof. Pei Zhang Carnegie Mellon University Friday Jan 20 noon-1:30 in CS 402 Abstract: In many sensing scenarios, direct sensing of desired events is difficult and often impossible. This is often due to deployment difficulties, lack of available sensors, and cost of maintenance. This talk will explore indirect sensing framework that infer information from physical inertial sensing through a combination of empirical, analytical and heuristic models. The talk then explore this framework through three projects. 1) The SensorFly system, a low-cost, miniature aerial sensor network that aims to be autonomous in deployment, maintenance and adaptation to the environment. By modeling the motion and movement, these sensors collaboratively localize and navigate indoors using inertial sensors. 2) Landing the sensors inside the building, the same sensor sets can be used to discover occupant information including location, identity, status, etc. 3) The same sensors on the human body, the system can inference muscle activity and fatigue level. The talk will explore the commonalities of data understanding and inferencing. Bio: Pei Zhang is an associate research professor in the ECE departments at Carnegie Mellon University. He received his bachelor's degree with honors from California Institute of Technology in 2002, and his Ph.D. degree in Electrical Engineering from Princeton University in 2008. While at Princeton University, he developed the ZebraNet system, which is used to track zebras in Kenya. It was the first deployed, wireless, ad- hoc, mobile sensor network. His recent work includes SensorFly (focus on groups of autonomous miniature-helicopter based sensor nodes) and MARS (Muscle Activity Recognition). Beyond research publications, his work has been featured on popular media including CNN, Science Channel, Discovery Channel, CBS News, CNET, Popular Science, BBC Focus, etc. He is also a cofounder of the startup Vibradotech. In addition, he has won several awards including the NSF CAREER, Edith and Martin B. Stein Solar Energy Innovation Award, and a member of the Department of Defense Computer Science Studies Panel. Margaret Martonosi H. T. Adams '35 Professor of Computer Science. Princeton University ■ mrm@princeton.edu ■ http://www.princeton.edu/~mrm