Kayvon Fatahalian
Assistant Professor of Computer Science
Web page: http://graphics.stanford.edu/~kayvonf
Bio
Kayvon Fatahalian is an assistant professor of Computer Science at Stanford University. His students work on visual computing systems projects, including large-scale video analytics, programming systems for video data mining, compilation techniques for optimizing image processing pipelines, and systems for real-time 3D graphics.
2020-21 Courses
- Interactive Computer Graphics
CS 248 (Win) - Parallel Computing
CS 149 (Aut) - Visual Computing Systems
CS 348K (Spr) -
Independent Studies (10)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr, Sum) - Advanced Reading and Research
CS 499P (Aut, Win, Spr, Sum) - Curricular Practical Training
CS 390A (Aut, Win, Spr, Sum) - Curricular Practical Training
CS 390B (Aut, Win, Sum) - Independent Project
CS 399 (Aut, Win, Spr, Sum) - Independent Work
CS 199 (Aut, Win, Spr, Sum) - Part-time Curricular Practical Training
CS 390D (Win) - Senior Project
CS 191 (Win) - Supervised Undergraduate Research
CS 195 (Aut) - Writing Intensive Senior Project (WIM)
CS 191W (Aut, Win, Spr)
- Advanced Reading and Research
-
Prior Year Courses
2019-20 Courses
- Interactive Computer Graphics
CS 248 (Win) - Parallel Computing
CS 149 (Aut) - Visual Computing Systems
CS 348K (Spr)
2018-19 Courses
- Interactive Computer Graphics
CS 248 (Win) - Parallel Computing
CS 149 (Win) - Visual Computing Systems
CS 348K (Aut)
2017-18 Courses
- Interactive Computer Graphics
CS 248 (Spr) - Visual Computing Systems
CS 348V (Win)
- Interactive Computer Graphics
Stanford Advisees
-
Doctoral Dissertation Reader (AC)
Matthew Feldman, Sadjad Fouladi, Stefan Hadjis, Dillon Huff, Huizi Mao, Deepak Narayanan -
Master's Program Advisor
Haofeng Chen, Jo Chuang, Bryan Kim, Can Liu, Claire Mai, Zeb Mehring -
Doctoral (Program)
David Durst, Dan Fu, James Hong, Brennan Shacklett, David Yao, Haotian Zhang