HWANJIN KIM
Purdue University, USA (Advisor: Prof. David J. Love)
Postdoctoral researcher (Visiting scholar), 2023.7~
KAIST, South Korea (Advisor: Prof. Junil Choi)
Postdoctoral researcher, 2022.9~2023.8
Ph.D. in Electrical Engineering, 2019.9~2022.8
Thesis: Massive MIMO Channel Prediction Via Adaptive Machine Learning (2022 KAIST EE Best Ph.D. Dissertation Award)
POSTECH, South Korea (Advisor: Prof. Junil Choi)
M.S. in Electrical Engineering, 2017.9~2019.8
B.S. in Electrical Engineering (with Honors), 2010.3~2017.8
Military Service, 2012.7~2014.4
Hansung Science High School , 2008.3~2010.2
Email: jin0903@kaist.ac.kr / kim4466@purdue.edu
RECENT NEWS
Mar 2024: Presented 2024 IEEE CISS workshop paper in the session
July 2023: Joined TASC Lab (Host: Prof. David J. Love) at Purdue as postdoctoral researcher.
May 2023: Selected 2023 NRF Post-Doctoral Overseas Training Program (with Prof. David J. Love at Purdue University, 2023.9.1-2024.8.31).
April 2023: Accepted "Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?," IEEE Transactions on Wireless Communications.
April 2023: Received 2022 KAIST EE Best Ph.D. Dissertation Award.
September 2022: Joined ICL at KAIST as postdoctoral researcher.
June 2022: Successfully Defended my Ph.D. Dissertation (Massive MIMO Channel Prediction Via Adaptive Machine Learning).
February 2022: Received 2022 KAIST Global Leadership Awards (Category: Creativity).
December 2021: Received Silver Prize at IEEE Seoul Section Student Paper Contest 2021.
August 2021: Presented 2021 IEEE EASIT poster in the session [Link]
July 2021: Received 2021 KAIST Global Leader Fellowship (Kim Younghan Fellowship).
June 2021: Received 2021 National Research Foundation (NRF) of Korea, Research Subsidies for Ph.D. Candidates (한국연구재단 박사과정생연구장려금 지원사업).
April 2021: Received 2020 KAIST EE Best Research Achievement Award (Kim Choong-Ki Award).
January 2021: Published, "Massive MIMO Channel Prediction: Kalman Filtering Vs. Machine Learning," IEEE Transactions on Communications, vol. 67, no. 1, pp. 518-528, Jan. 2021.
December 2020: Received 2020 Electronic News ICT Paper Contest Best Paper Award (2nd Place).
September 2019: Joined Intelligent Communication Systems Lab at KAIST (Supervisor: Prof. Junil Choi) as graduate student.
BIO
Hwanjin Kim (Member, IEEE) received the B.S. (Hons.) and M.S. degrees in electrical engineering from POSTECH in 2017 and 2019, respectively, and the Ph.D. degree in the school of electrical engineering from KAIST in 2022. He is currently a post-doctoral researcher at Purdue University. His research interests are in the design and analysis of massive MIMO communication systems and machine learning for communications. Dr. Kim was a co-recipient of the 2018 JCCI Best Paper Award and the 2020 Electronic News ICT Paper Contest Best Paper Award. He was awarded the IDIS-Electronic News ICT Paper Contest Outstanding Paper Award in 2017, the KAIST EE Best Research Achievement Award (Kim Choong-Ki Award) in 2020, the IEEE Seoul Section Student Paper Contest Silver Prize in 2021, and the KAIST EE Best Ph.D. Dissertation Award in 2022. He was a recipient of the NRF Korea Research Subsidies of Ph.D. Candidates (2021-2022), the 2021 KAIST Global Leader Fellowship (Kim Younghan Fellowship), and the 2022 KAIST Global Leadership Award (Creativity). He was recognized as an exemplary reviewer of the IEEE Communications Letters in 2018.