Xiaofan (Fred) Jiang
Xiaofan (Fred) Jiang is an Assistant Professor in the Electrical Engineering Department at Columbia University and a member of the Data Science Institute. Fred received his B.Sc. (2004) and M.Sc. (2007) in Electrical Engineering and Computer Science, and his Ph.D. (2010) in Computer Science, all from UC Berkeley. Before joining SEAS, he was Senior Staff Researcher and Director of Analytics and IoT Research at Intel Labs China.
Fred’s research interests include cyber physical systems and data analytics, smart and sustainable buildings, mobile and wearable systems, environmental monitoring and control, and connected health & fitness. His ACme building energy platform has been widely adopted by universities and industries, including Lawrence Berkeley National Laboratory, National Taiwan University, and several commercial companies. His project on wearable and mobile fitness, in collaboration with University of Virginia, was featured on New Scientist and the Economist magazine. His air-quality monitoring project has been featured on China Central Television and People’s Daily, and was successfully incubated into a startup. He is actively serving on several technical and organizing committees including ACM SenSys, ACM/IEEE IPSN, and ACM BuildSys. He was a National Science Foundation (NSF) Graduate Fellow and a Vodafone-US Foundation Fellow.