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.

Academic Appointments

Associate Professor, Computer Science
Member, Wu Tsai Human Performance Alliance

2023-24 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)
- Independent Project
  CS 399 (Aut, Win, Spr, Sum)
- Independent Work
  CS 199 (Aut, Win, Spr, Sum)
- Master's Research
  CME 291 (Aut)
- Part-time Curricular Practical Training
  CS 390D (Win)
- Senior Project
  CS 191 (Aut, Win)
- Supervised Undergraduate Research
  CS 195 (Aut)
- Writing Intensive Senior Research Project
  CS 191W (Aut, Win, Spr)
Prior Year Courses
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)
2020-21 Courses
- Interactive Computer Graphics
  CS 248 (Win)
- Parallel Computing
  CS 149 (Aut)
- Visual Computing Systems
  CS 348K (Spr)

Stanford Advisees

Doctoral Dissertation Reader (AC)
Karan Goel
Orals Evaluator
Karan Goel
Master's Program Advisor
Henry Ang, Miguel Fuentes Hernandez, Scott Hickmann, Jared Isobe, Hansub Kim, Miranda Liu, Jose Medina, Huy Nguyen, Jared Watrous, Danica Xiong, Sylvia Yuan
Doctoral (Program)
David Durst, Dan Fu, Purvi Goel, James Hong, Fait Poms, Vishnu Sarukkai, Brennan Shacklett

All Publications

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers ACM Transactions on Embedded Computing Systems Koul, K., Melchert, J., Sreedhar, K., Truong, L., Nyengele, G., Zhang, K., Liu, Q., Setter, J., Chen, P., Mei, Y., Strange, M., Daly, R., Donovick, C., Carsello, A., Kong, T., Feng, K., Huff, D., Nayak, A., Setaluri, R., Thomas, J., Bhagdikar, N., Durst, D., Myers, Z., Tsiskaridze, N., Richardson, S., et al 2023; 22 (2)

View details for DOI 10.1145/3534933