Prof. Minseok Choi | Wireless Caching | Best Researcher Award

Prof. Minseok Choi, Kyung Hee University, South Korea

Prof. Minseok Choi is an esteemed Assistant Professor at Kyung Hee University, South Korea, specializing in Wireless Caching Networks 📡, Stochastic Network Optimization 📊, Federated Learning 🤖, Reinforcement Learning 🧠, and Non-Orthogonal Multiple Access (NOMA) 📶. He earned his Ph.D. and M.S. in Electrical Engineering from KAIST, under the mentorship of Prof. Jaekyun Moon. Prof. Choi leads the Wireless Intelligent Network (WIN) Lab, contributing significantly to advancements in wireless communications. His teaching portfolio includes courses on future communication convergence, AI, and wireless networks.

🌐 Professional Profile:

Scopus

Education

• Ph.D., Electrical Engineering
  Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
  Thesis: Queue-Based Performance Optimization under Latency Constraint in Multi-User Cellular Environments
  Advisor: Prof. Jaekyun Moon
  Aug. 2018
• M.S., Electrical Engineering
  Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
  Thesis: Soft Information Correlation in Iterative Decoding of LDPC Codes
  Advisor: Prof. Jaekyun Moon
  Feb. 2013

Research Interests

• Wireless Caching Network
• Stochastic Network Optimization
• Federated Learning
• Reinforcement Learning
• Non-Orthogonal Multiple Access (NOMA)

Research Experience

• Assistant Professor, Kyung Hee University
  Department of Electronic Engineering, Wireless Intelligent Network (WIN) Lab.
  Mar. 2022 – Present
• Assistant Professor, Jeju National University
  Department of Telecommunication Engineering, Wireless Communications and Distributed Systems Lab.
  Mar. 2020 – Feb. 2022

Teaching Experience

• Kyung Hee University
  • Future Communication Convergence (Spring 2023)
  • Communication Mathematics (Spring 2023)
  • Software Laboratory (Spring 2023)
  • Wireless Network Convergence (Fall 2022)
  • Artificial Intelligence (Fall 2022)
  • Reinforcement Learning (Spring 2022)
  • Adventure Design (Spring 2022, Fall 2022, Spring 2023)

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