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Kayvon Fatahalian is an Associate Professor in the Department of Computer Science at Stanford University. His research focuses on developing advanced computing systems that enable new applications in computer graphics and artificial intelligence. He has worked on high-performance simulations for virtual environments, creating training data for AI agents in gaming contexts. With a significant background in machine learning and interactive AI, Fatahalian has pursued innovative methods for analyzing large-scale video data and improving human-computer interaction. He has also been involved in educational efforts, teaching a variety of courses in computer graphics, parallel computing, and visual computing systems at Stanford and previously at Carnegie Mellon University.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.