Gilwon Lee, PhD

Algorithm Developer
Next Generation and Standards
Intel Corporation, R&D

2191 Laurelwood Rd., Santa Clara, CA 95054
Email: gilwon.lee30 AT gmail DOT com
Google Scholar profile

Gilwon Lee is currently working as an algorithm developer for 5G wireless and emerging technologies in the Next Generation and Standards (NGS) within Intel Corporation. Prior to joining Intel, he was a postdoctoral fellow working with Prof. Robert W. Heath Jr. in the Department of Electrical and Computer Engineering (ECE) at the University of Texas (UT) at Austin. He received the Ph.D. degree in the School of Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2016, under the supervision of Prof. Youngchul Sung. His research interests are on signal processing for large-scale MIMO, millimeter wave (mmWave) MIMO, and vehicle-to-everything (V2X) communication systems and on applying machine learning to future wireless networks.

  • Education
    – 2012.02 ~ 2016.08, Ph.D. School of Electrical Engineering, KAIST (Advisor: Professor Youngchul Sung)
    – 2010.02 ~ 2012.02, M.S. Dept. Electrical Engineering, KAIST (Advisor: Professor Youngchul Sung)
    – 2005.03 ~ 2010.02, B.S. Dept. Electrical Engineering, KAIST
  • Work Experience
    – 2018.08 ~ Present, Algorithm Developer, Intel Corporation, Santa Clara, CA
    – 2017.02 ~ 2018. 03, Postdoctoral Fellow, ECE, UT Austin, Austin, TX
    – 2016.09 ~ 2017.01, Postdoc, Information and Electronics Research Institute, KAIST, Daejeon, South Korea

Academic Activities
1. Reviewer for Journal and Conference Papers
– IEEE Transactions on Signal Processing
– IEEE Transactions on Wireless Communications
– IEEE Journal on Selected Areas in Communications
– IEEE Transactions on Communications
– IEEE Transactions on Vehicular Technology
– IEEE Wireless Communications Magazine
– IEEE Wireless Communications Letters
– IEEE Signal Processing Letters
– IEEE Communications Letters

2. Invited Talks

– Advanced mmWave and massive MIMO techniques for next-generation wireless systems, at Intel Labs, Oregon, USA, Dec. 2017.
– Performance of random beamforming in sparse MIMO channels, at Coding and Information Theory Society Workshop, Seoul, Korea, Oct. 2015.
– Randomly directional beamforming in millimeter-wave multi-user MISO downlink, at ETRI, Daejeon, Korea, Jan. 2015.

  • Awards
    – Two Bronze Prizes in the 21st HumanTech Paper Contest sponsored by Samsung, Feb. 2015.