Kayvon Fatahalian
Associate Professor of Computer Science
Web page: http://graphics.stanford.edu/~kayvonf
Bio
Kayvon Fatahalian is an Associate Professor in the Computer Science Department at Stanford University. Kayvon's research focuses on the design of systems for real-time graphics, high-efficiency simulation engines for applications in entertainment and AI, and platforms for the analysis of images and videos at scale.
https://orcid.org/0000-0001-8754-04292024-25 Courses
- Computer Graphics: Rendering, Geometry, and Image Manipulation
CS 248A (Win) - Parallel Computing
CS 149 (Aut) - Visual Computing Systems
CS 348K (Spr) -
Independent Studies (11)
- 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, Spr, Sum) - Independent Project
CS 399 (Aut, Win, Spr, Sum) - Independent Work
CS 199 (Aut, Win, Spr, Sum) - Master's Research
CME 291 (Aut, Win, Spr, Sum) - Part-time Curricular Practical Training
CS 390D (Aut, Win, Spr, Sum) - Senior Project
CS 191 (Aut, Win, Spr, Sum) - Supervised Undergraduate Research
CS 195 (Aut, Win, Spr, Sum) - Writing Intensive Senior Research Project
CS 191W (Aut, Win, Spr)
- Advanced Reading and Research
-
Prior Year Courses
2023-24 Courses
- Computer Graphics: Rendering, Geometry, and Image Manipulation
CS 248A (Win) - Parallel Computing
CS 149 (Aut) - Visual Computing Systems
CS 348K (Spr)
2022-23 Courses
- Computer Graphics: Rendering, Geometry, and Image Manipulation
CS 248A (Win) - Parallel Computing
CS 149 (Aut) - Visual Computing Systems
CS 348K (Spr)
2021-22 Courses
- Computer Graphics: Image Synthesis Techniques
CS 348B (Spr) - Interactive Computer Graphics
CS 248 (Win) - Parallel Computing
CS 149 (Aut) - Visual Computing Systems
CS 348K (Spr)
- Computer Graphics: Rendering, Geometry, and Image Manipulation
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Sarah Jobalia -
Doctoral Dissertation Advisor (AC)
Brennan Shacklett -
Master's Program Advisor
Shray Alag, Henry Ang, Cuiyuanxiu Chen, Miguel Fuentes Hernandez, Scott Hickmann, Miranda Liu, Jose Medina, Yash Pansari, Melissa Ran, Karan Soin, Shruti Sridhar, Thanh Tieu, Jared Watrous, Danica Xiong -
Doctoral Dissertation Co-Advisor (AC)
Dan Fu -
Doctoral (Program)
Purvi Goel, Zander Majercik, Vishnu Sarukkai, Brennan Shacklett
All Publications
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AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers
ACM Transactions on Embedded Computing Systems
2023; 22 (2)
View details for DOI 10.1145/3534933