Taesup Moon (문태섭)

 Ph.D Candidate

Address:
Information Systems Laboratory                        
Packard #251, 350 Serra Mall
Stanford, CA 94305-9510
(650) 723-4544
Email: tsmoon (at) stanford (dot) edu             

Taesup Moon received the B.S. degree with honors in electrical engineering from Seoul National University, Seoul, Korea, in 2002, and the M.S. degree in electrical engineering from Stanford University, Stanford, CA, in 2004. He is currently working toward the Ph.D degree in the Information Systems Laboratory, the Department of Electrical Engineering at Stanford University, Stanford, CA. His current research interests are in information theory, statistical signal processing, machine learning, algorithmic game theory, and optimization.

Research Advisor: Tsachy Weissman, (Associate Advisor: Thomas M. Cover)

Research Interests:

• Information theory 
• Statistical signal processing
• Machine learning algorithms
• Algorithmic game theory
• Any interesting applications of information theory, probability theory, and optimization

Publicatons:

    Journal Papers:

• T. Moon and T. Weissman, "Universal filtering via hidden Markov modeling,"  IEEE Transactions on Information Theory, vol. IT-54, no. 2, pp.692--708, February 2008
• T. Moon and T. Weissman, "Discrete denoising with shifts," submitted to IEEE Transactions on Information Theory (cs.IT/0708.2566)
• T. Moon and T. Weissman, "Universal FIR MMSE filtering," submitted to IEEE Transactions on Signal Processing

    Manuscript in preparation:

• T. Moon and T. Weissman, "Discrete denoising for two-dimensional data via quadtree decomposition," in preparation.

    Conference Proceedings:

• T. Moon and T. Weissman, “Discrete universal filtering via hidden Markov modelling,”  Proceedings of IEEE International Symposium on Information Theory, pp. 1285--1289, Adelaide, Australia, September 2005
• T. Moon and T. Weissman, "Competitive on-line linear FIR MMSE filtering," Proceedings of IEEE International Symposium on Information Theory, pp. 1126--1130, Nice, France, June 2007
• T. Moon and T. Weissman, "Discrete denoising with shifts," Proceedings of 45th Annual Allerton Conference on Communication, Control, and Computation, Monticello, Illinois, September 2007

Invited Talks:

• Information theory group, HP Labs, "Discrete denoising with shifts", August 2007
• Google Tech Talk, Google Research, "Discrete denoising with shifts", May 2008 

TA Experiences: 

• EE376A, Information Theory (06 Winter) 
• EE278, Statistical Signal Processing (06 Spring)
• EE376A, Information Theory (07 Winter), guest lectures on Shannon's channel coding theorem and Sanov's theorem