# Yi Ma

### Research Areas

- Artificial Intelligence (AI)
- Control, Intelligent Systems, and Robotics (CIR)
- Signal Processing (SP)
- Computer Vision
- Compressive Sensing

### Research Centers

- Berkeley Artificial Intelligence Research Lab (BAIR)
- Center for Augmented Cognition (CAC)
- FHL Vive Center for Enhanced Reality
- Tsinghua-UC Berkeley Shenzhen Institute (TBSI)

## Biography

Yi Ma received his B.S. degree in Automation and Applied Mathematics from Tsinghua University, China in 1995, an M.S. degree in EECS in 1997, an M.A. degree in Mathematics in 2000, and a Ph.D. in EECS in 2000 all from UC Berkeley. He was on the faculty of ECE Department of the University of Illinois at Urbana-Champaign from 2000 to 2011. He was the manager of the Visual Computing Group and a principal researcher of Microsoft Research in Asia from 2009 to 2013. He was then a founding professor and the executive dean of the School of Information Science and Technology of ShanghaiTech University from 2014 to 2017. He joins the faculty of EECS of UC Berkeley in 2018. You may find a more detailed biography from the website at: http://people.eecs.berkeley.edu/~yima/Biography.html

## Education

- 2000, Ph.D., EECS, University of California, Berkeley
- 2000, M.A., Mathematics, University of California, Berkeley
- 1997, M.S., EECS, University of California, Berkeley
- 1995, B.S., Automation & Applied Mathematics, Tsinghua University, China

## Selected Publications

- R. Vidal, Y. Ma, and S. S. Sastry, Generalized Principal Component Analysis, first ed., Interdisciplinary Applied Mathematics, Vol. 40, New York: Springer-Verlag, 2016.
- E. Candes, X. Li, Y. Ma, and J. Wright, "Robust Principal Component Analysis," Journal of the ACM, vol. 58, no. 1, pp. 1--37, 2011.
- J. Wright, A. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust Face Recognition via Sparse Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210 -- 227, 2009.
- Y. Ma, S. Soatto, J. Kosecka, and S. S. Sastry, An Invitation to 3D Vision: From Images to Models, first ed., Interdisciplinary Applied Mathematics, Vol. 26, New York: Springer-Verlag, 2004.

## Awards, Memberships and Fellowships

- Society for Industrial & Applied Mathematics (SIAM) Fellow, 2020
- Association for Computing Machinery (ACM) Fellow, 2017
- Institute of Electrical & Electronics Engineers (IEEE) Fellow, 2013
- Office of Naval Research Young Investigator, 2005
- NSF Faculty Early Career Development Award (CAREER), 2004
- CS TCPAMI ICCV Best Paper Award/David Marr Prize, 1999