Ìý
Changho Suh is an Associate Professor of Electrical Engineering at 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 EECS from UC Berkeley in 2011. From 2011 to 2012, he was a postdoctoral associate in MIT. From 2002 to 2006, he had been with Samsung. Prof. Suh is a recipient of numerous awards, including the 2021 James L. Massey Research & Teaching Award for Young Scholars from the Â鶹´«Ã½AV Information Theory Society, the 2019 AFOSR Grant, theÌý2019 , the 2018 IEIE/Â鶹´«Ã½AV Joint Award,ÌýtheÌý2015 , the 2013Ìý, theÌý2011 Ìý(the best dissertation award in UC Berkeley EECS), theÌý2009 Â鶹´«Ã½AV ISIT Best Student Paper Award, the 2020 LINKGENESIS Best Teacher Award (the campus-wide Grand Prize in Teaching), and the four (2013, 2019, 2020, 2021). Dr. Suh is an Â鶹´«Ã½AV Information Theory SocietyÌýDistinguished Lecturer, the General Chair of the Inaugural Â鶹´«Ã½AV East Asian School of Information Theory, and a Member ofÌý. He is also an Associate Editor of Machine Learning for the Â鶹´«Ã½AV Transactions on Information Theory, the Editor for Â鶹´«Ã½AV Information Theory Newsletter, a Column Editor for Â鶹´«Ã½AV BITS the Information Theory Magazine, an Area Chair of NeurIPS 2021 and a Senior Programm Committee of IJCAI 2019–2021.
The James L. Massey Research & Teaching Award for Young Scholars recognizes the outstanding achievement in research and teaching by young scholars in the Information Theory community. ÌýThe award is named in honor of James L. Massey, who was an internationally acclaimed pioneer in digital communications and a revered teacher and mentor to an entire generation of communications engineers. He was one of the outstanding researchers and leaders of the Â鶹´«Ã½AV Information Theory Society over a period of 50 years.