Personal profile
In Korean
김환진 교수(IT대학 전자공학부)
Education
o (2017) B.S., POSTECH
o (2019) M.S., POSTECH
o (2022) Ph.D., KAIST
o (2019) M.S., POSTECH
o (2022) Ph.D., KAIST
Professional Experience
o (2024~Present) Assistant Professor, Kyungpook National University, Daegu, South Korea
o (2023~2024) Postdoctoral Researcher, Purdue University, IN, USA
o (2022~2023) Postdoctoral Researcher, KAIST, Daejeon, South Korea
o (2023~2024) Postdoctoral Researcher, Purdue University, IN, USA
o (2022~2023) Postdoctoral Researcher, KAIST, Daejeon, South Korea
Research Interests
Wireless Communication, Machine Learning, Federated Learning, Signal Processing
Major Research Achievements
o Massive MIMO channel prediction via Kalman filtering and machine learning
o Massive MIMO channel prediction via meta-learning and deep denoising
o Over-the-air federated learning
o One-bit massive MIMO system: channel estimation
o Massive MIMO channel prediction via meta-learning and deep denoising
o Over-the-air federated learning
o One-bit massive MIMO system: channel estimation
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Downlink Channel Estimation for mmWave Systems With Impulsive Interference
Park, K., Lee, G., Lee, H., Kim, H. & Choi, J., 2026, In: IEEE Wireless Communications Letters. 15, p. 330-334 5 p.Research output: Contribution to journal › Article › peer-review
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Spatial-Division ISAC: A Practical Waveform Design Strategy via Null-Space Superimposition
Lee, B., Kim, H., Love, D. J. & Krogmeier, J. V., 2026, In: IEEE Transactions on Wireless Communications. 25, p. 6837-6851 15 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Machine Learning-Based Channel Prediction with Reduced Training Overhead for Massive MIMO-OFDM Systems
Ko, B., Kim, H., Kim, M. & Choi, J., 2025, 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025. Institute of Electrical and Electronics Engineers Inc., (IEEE Wireless Communications and Networking Conference, WCNC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Meta-Learning-Based People Counting and Localization Models Employing CSI from Commodity WiFi NICs
Cha, J., Kim, H. & Choi, J., 2025, (Accepted/In press) In: IEEE Internet of Things Journal.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive People Counting and Localization Based on Meta Learning with WiFi NICs
Cha, J., Kim, H. & Choi, J., 2024, Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024. Matthews, M. B. (ed.). IEEE Computer Society, p. 1150-1154 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations