Changho Suh

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Changho Suh portrait

Changho Suh


Affiliation: KAIST

Contact Information

Korea Advanced Institute of Science and Technology

School of Electrical Engineering

Research Interests

  • Statistical Learning and Inference
  • Shannon Theory


Changho Suh is an Associate Professor in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST). He received the B.S. and M.S. degrees in Electrical Engineering from KAIST in 2000 and 2002 respectively, and the Ph.D. degree in Electrical Engineering and Computer Sciences from UC Berkeley in 2011, under the supervision of Prof. David Tse. From 2011 to 2012, he was a postdoctoral associate at the Research Laboratory of Electronics in MIT, working with Prof. Lizhong Zheng and Prof. Gregory W. Wornell. From 2002 to 2006, he had been with the Telecommunication R&D Center, Samsung Electronics.

Prof. Suh is a recipient of numerous awards in research and teaching: the 2019/2020 AFOSR Grant, the 2019 Google Education Grant, the 2018 IEIE/IEEE Joint Award, the 2015 IEIE Hadong Young Engineer Award, a 2015 Bell Labs Prize finalist, the 2013 IEEE Communications Society Stephen O. Rice Prize, the 2011 David J. Sakrison Memorial Prize (top research award in UC Berkeley EECS), the 2009 IEEE ISIT Best Student Paper Award, and the 2012/2019 Department Teaching Awards. Dr. Suh is a Distinguished Lecturer for the IEEE Information Theory Society (2020-21), the General Co-chair of the Inaugrural East Asian School of Information Theory 2021, and a Member of Young Korean Academy of Science and Technology. He is also an Associate Editor for Statistical Learning for the IEEE Transactions on Information Theory, the Guest Editor for the Special Issue of Entropy Journal, and a Senior Programm Committee of IJCAI 2019/2020.

Participation & Positions:

Distinguished Lecturers List (Lecturer, 01/01/20 until 12/31/21)

Author Of:

C. Suh , D. Tse , "Symmetric Feedback Capacity of the Gaussian Interference Channel to within One Bit", Proc. of IEEE International Symposium on Information Theory, Seoul, South Korea, Jun. 2009