Moore Lab Room 116C
MC 136-93 Pasadena CA 91125
I'm now a third year Ph.D student in Electrical Engineering at Caltech, and I'm fortunate to be co-advised by Professor Venkat Chandrasekaran and Professor Victoria Kostina. Currently, I'm working on statistical and computational aspects of graph related problems. Previously, I did some work in finite blocklength information theory. I have broad interests in optimization, statistics and information theory.
- Ph.D student in Electrical Engineering, California Institute of Technology, 2016-current,
- M.S. in Electrical Engineering, California Institute of Technology, 2017
- B.Sc. in Mathematics, B.Engg. in Information Engineering, the Chinese University of Hong Kong, 2011-2016
- Exchange student in EECS, Massachusetts Institute of Technology, 2014
- "From parameter estimation to dispersion of nonstationary Gauss-Markov processes", Peida Tian, Victoria Kostina,
- "The dispersion of the Gauss-Markov source", Peida Tian, Victoria Kostina,
[IEEE Transactions on Information Theory, May 2019].
- "Arbitrarily varying networks: capacity-achieving computationally efficient codes", Peida Tian, Sid Jaggi, Mayank Bakshi, Oliver Kosut,
- EE/Ma/CS 127 Error-Correcting Codes, fall 2017
- EE 163A Communication Networks, winter 2018
- EE 120 Topics in Information Theory, spring 2018
- ACM 113 Mathematical Optimization, fall 2018