Namhyun Kim

Namhyun Kim

PhD Student in Electrical and Computer Engineering

Arizona State University

ASU GWC 375  ·  namhyun@asu.edu

I am a PhD student in Electrical and Computer Engineering at Arizona State University, advised by Prof. Ahmed Alkhateeb. My research focuses on data-driven design of next-generation wireless networks—from foundation models for wireless signals to AI-assisted protocol design and system optimization. I am a recipient of the Korean Government Scholarship Program (KGSP) (NIIED).

Current projects include:

  • Data-driven wireless systems and foundation models for wireless signals
  • Digital-twin assisted wireless communications
  • Integrated sensing and communications (ISAC) for practical systems
  • Massive MIMO design under practical overhead constraints

Prior to joining ASU, I worked as a network engineer at SK Telecom. I have collaborated with Prof. Jeonghun Park and Prof. Junil Choi. I received my M.S. in Electrical Engineering (2023) from KAIST and my B.S. in Electrical and Electronic Engineering (Hons., 2021) from Yonsei University.

News

  1. Accepted
    ICC 2026 (Glasgow, UK)
    Our paper, "LWM-Spectro: A Foundation Model for Wireless Baseband Signal Spectrograms," was accepted to IEEE ICC 2026.
  2. Journal (Early Access)
    IEEE Internet of Things Journal
    Our paper, "Reducing Latency by Eliminating CSIT Feedback: FDD Downlink MIMO Transmission for Internet-of-Things Communications," is published in IEEE Internet of Things Journal (Early Access).
  3. Journal (Early Access)
    IEEE Transactions on Wireless Communications
    Our paper, "Integrated Sensing and Communications in Downlink FDD MIMO Without CSI Feedback," was published in IEEE Transactions on Wireless Communications (Early Access).
  4. Conference
    ISIT 2025
    Our paper, "Integrated Sensing and Communications in FDD MIMO Without CSI Feedback: Towards FDD MIMO ISAC," was presented at ISIT 2025 in Ann Arbor, MI.
  5. Journal (Early Access)
    IEEE Transactions on Wireless Communications
    Our paper, "Splitting Messages in the Dark – Rate-Splitting Multiple Access for FDD Massive MIMO Without CSI Feedback," was published in IEEE Transactions on Wireless Communications (Early Access).
  6. Conference
    WiOpt 2024
    Our paper, "Integrated Sensing and Communications in FDD MIMO Without CSI Feedback: Towards FDD MIMO ISAC," was presented at WiOpt 2024 in Seoul, South Korea.