I am a 3rd year Computer Science Ph.D. student in the Graphics
Lab at Stanford University advised by
Prof. Kayvon Fatahalian.
I work on systems for large scale video analytics and my latest project involves extracting insights from 200,000 hours of Cable TV news using AI and computer vision. My broader research interests include distributed computing, algorithms, statisics, security, machine learning, and natural language processing.
Previously, I received my B.S. and M.S. in systems and theory, respectively, also from Stanford University. As an undergraduate, I conducted research on the Internet of Things security under the direction of Prof. Philip Levis.
Contact me at: james.hong at cs.stanford.edu