Byonghyo Shim (bshim@snu.ac.kr) is a professor in the Department of Electrical and Computer Engineering at Seoul National University (SNU), and a Vice Dean of College of Engineering.
He received B.S. and M.S. degrees in control and instrumentation engineering from SNU in 1995 and 1997, respectively, and an M.S. degree in mathematics and a Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign (UIUC) in 2004 and 2005, respectively.
In 2004, he worked for Texas Instruments, and from 2005 to 2007, he was with Qualcomm Incorporated. From 2007 to 2014 he was with Korea University. He is an IEEE Fellow and also a member of the Korean Academy of Science and Technology. He was a recipient of the M. E. Van Valkenburg Research Award from the ECE Department of UIUC, the Irwin Jacobs Award from Qualcomm and KICS, the Shinyang Research Award from the College of Engineering in SNU, the Okawa Foundation Research Award, the IEEE AP Outstanding Paper Award, the JCN Best Paper Award, and SNU Academic Research Award.
His current research focuses on wireless communications, machine learning, information theory, and statistical signal processing. He has been served as an Associate Editor for the IEEE Transactions on Wireless Communications (TWC), IEEE Transactions on Communications (TCOM), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Signal Processing (TSP), IEEE Wireless Communications Letters (WCL), and a division editor for Journal of Communications and Networks (JCN) and also a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC).
2005 Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), Urbana
2004 M.S. in Mathematics from the University of Illinois at Urbana-Champaign (UIUC), Urbana
1997 M.S. in Control and Instrumentation Engineering at Seoul National University (SNU), Seoul, Korea
1995 B.S. in Control and Instrumentation Engineering at Seoul National University (SNU), Seoul, Korea
Signal processing for wireless communications
Statistical signal processing
Machine learning
Compressed sensing
Information theory