Fred Jiang

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.
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Enabling Technologies for Data Science and Analytics: The Internet of Things (edX) EdX
Columbia University,ColumbiaX

Enabling Technologies for Data Science and Analytics: The Internet of Things (edX)

Dive into the world of Big Data with our exclusive course on Enabling Technologies for Data Science and Analytics: The Internet of Things (IoT). This edX offering will equip you with a deep understanding of how IoT is revolutionizing data acquisition and analysis. From sensor technology to advanced analytics techniques like sentiment analysis, this course covers everything you need to know about leveraging the vast amounts of data generated by interconnected devices for informed decision-making.

Self Paced
Self-Paced
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