John Chuang

John Chuang is a professor at the UC Berkeley School of Information with an affiliate appointment in the Department of EECS. His research spans bio-sensory computing, network economics, and human factors in security and privacy. A sample of his ongoing projects includes user authentication using wearable bio-sensors, social computing with physiological signals, and security and privacy of personal bio-data. He also studies the strategic incentives of information security, communication networks, and open collaboration and peer production communities. He received his PhD in engineering and public policy from Carnegie Mellon University and MS in electrical engineering from Stanford University, and he graduated summa cum laude in electrical engineering from the University of Southern California. The Chuang Sirbu Scaling Law is named for his work on scaling properties of multicast trees. His work on brainwave authentication has been featured in more than 300 international media outlets, including ABC, BBC, CNN, Mashable, NYT, TechCrunch, WSJ, and Wired.