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Minsik Kim received the B.S. and M.E. degrees in information and communication engineering and the Ph.D. degree in electrical and computer engineering from Inha University, Incheon, South Korea, in 2017, 2019, and 2024, respectively. He is currently a Senior Researcher with the Electronics and Telecommunications Research Institute, Daejeon, South Korea. His research interests include wireless communications, convex optimization, and machine learning.
Education (Signal Processing & Machine Learning Lab)
Inha University, Electrical and Computer Engineering, Ph.D., Feb. 2024
Inha University, Information and Communication Engineering, M.E., Aug. 2019
Inha University, Information and Communication Engineering, B.S., Aug. 2017
Experience
Senior Researcher, Electronics and Telecommunications Research Institute, Jan. 2024 – Current. (ETRI Knowledge Sharing Platform)
Publication
- International Journal
S. Choi, M. Kim, and D. Park, "Optimal Beamforming in Over-the-Air Federated Learning for Efficient Model Aggregation," to appear in ICT Express. [paper]
K. Chang, M. Kim*, Y.-J. Ko, and I. Kim, "Towards Precise Synchronization under Phase Distortion: Signal Design and Deep Learning," IEEE Transactions on Vehicular Technology, vol. 74, no. 4, pp. 6715-6720, Apr. 2025. (Q1) [paper]
M. Kim and D. Park, "Reconfigurable Intelligent Surfaces-aided Federated Learning in Over-the-Air Computation," IEEE Wireless Communications Letters, vol. 13, no. 7, Jul. 2024. (Q1) [paper]
M. Kim, M. Kim, and D. Park, "Learnable binary MIMO detection with negative penalty based on inexact ADMM," Electronics Letters, vol. 60, no. 6, Mar. 2024. [paper]
M. Kim, A. Lee Swindlehurst, and D. Park, "Beamforming Vector Design and Device Selection in Over-the-Air Federated Learning," IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 7464-7477, Nov. 2023. (Q1) [paper] (Samsung Electronics Humantech Paper Award)
M. Kim and D. Park, "Joint Beamforming and Learning Rate Optimization for Over-the-Air Federated Learning," IEEE Transactions on Vehicular Technology, vol. 72, no. 10, pp. 13706-13711, Oct. 2023. (Q1) [paper]
M. Kim and D. Park, "Intelligent Reflecting Surface-Aided MIMO Secrecy Rate Maximization," ICT Express, vol. 8, no. 4, pp. 518-524, Dec. 2022. (2022 IF: 5.4) [paper]
M. Kim and D. Park, "Rate-Energy Region of MIMO Systems with Sustainable Intelligent Reflecting Surface," ICT Express, vol. 8, no. 3, pp. 438-443, Sep. 2022. [paper]
M. Kim and D. Park, "Learnable MIMO Detection Networks based on Inexact ADMM," IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 565-576, Jan. 2021. (Q1) [paper]
M. Kim, J. Lee, and D. Park, "Iterative Detection Based on Consensus Alternating Direction Method of Multipliers in Massive Machine-Type Communications," Wireless Personal Communications, vol. 110, no. 4, pp. 2253-2264, Feb. 2020. [paper]
- International Conference
M. Kim, J. Myung, and Y.-J. Ko, "Device Selection for Passive RIS-Assisted Over-the-Air Federated Learning," in Proc. ICTC, 2024, Jeju, Korea.
M. Kim, A. Willner, and D. Park, "Turbulence Resilient Free-Space Optical Communication Using Iterative Blind Equalization," in Proc. ITC-CSCC, 2022, Jeju, Korea. (Best Paper Award in ITC-CSCC 2022)
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