Yong Jin Daniel Kim

Dr. Yong Jin Daniel Kim's interests include digital communications, information theory, channel and source coding and signal processing. He teaches a variety of courses covering wireless systems, discrete-time signals and systems, communication Systems, continuous-time signals and systems, and circuits and systems.

Academic Degrees

  • PhD, McGill University (Montreal, Canada), 2013
  • MS, McGill University (Montreal, Canada), 2007
  • BA, Simon Fraser University (Vancouver, Canada), 2005

Teaching Interests

  • Wireless communications
  • Information theory and coding
  • Signal and systems
  • Probability and statistics
  • Control systems

Research Interests

  • Object-based broadcasting
  • Faster than Nyquist signaling
  • Near-optimal channel coding in the finite blocklength regime
  • Wireless network testbed using software-defined radio
  • Physical-layer channel coding for wireless networks with unknown network capacity
  • 3GPP broadband cellular network standardization

Select Publications & Presentations

  • Y. J. D. Kim and D. Vargas, “Multicast and Unicast Superposition Transmission in MIMO OFDMA Systems with Statistical CSIT,” IEEE Transactions on Broadcasting, vol. 70, no. 1, pp. 26-41, Mar. 2024
  • X. Xie and Y. J. D. Kim, “Precoding for Multi-user MIMO Interference Channel: A Signal Set Separation Problem,” in Proc. IEEE Computing and Communication Workshop and Conference, Virtual, USA, pp. 1120-1125, Jan. 2021
  • Y. J. D. Kim and Y. Feng, “Capacity of Multicarrier Faster-than-Nyquist Signaling,” in Proc. IEEE International Symposium on Information Theory, Virtual, USA, pp. 2026-2072, June 2020.
  • D. Vargas and Y. J. D. Kim, “Two-Layered Superposition of Broadcast/Multicast and Unicast Signals in Multiuser OFDMA Systems,” IEEE Transactions on Wireless Communications, vol. 19, no. 2, pp. 979-994, Feb. 2020.
  • P. Luo, B. Pang, and Y. J. D. Kim, “MIMO Pre-Coder Design Based on Weighted Euclidean Distance Maximization in Interference Channel,” in Proc. IEEE Vehicular Technology Conference-Fall, Chicago, IL, USA, pp. 1-5, Aug. 2018.