News & Event​

Professor Sunghyun Choi Joins the School of Electrical Engineering

교수님
<Professor Sunghyun Choi>
The School of Electrical Engineering is pleased to announce the appointment of Professor Sunghyun Choi, who has joined the faculty on April 13, 2026.

 

Professor Choi is an internationally recognized scholar in wireless networking and mobile systems/computing. An IEEE Fellow recognized for his significant contributions to the field, he has held distinguished leadership roles in both academia and industry, including serving as a professor at Seoul National University and, most recently, as an Executive Vice President at Samsung Electronics.

 

His research has advanced intelligent network optimization, digital twins, low-latency mobile systems, and indoor localization. At KAIST, his work will focus on AI-native network architectures, autonomous network operations using LLMs and multi-agent systems, and next-generation infrastructure for physical AI.

 

Professor Choi’s office is located in N1 Room 616. For more details on his research, please refer to the website below.

 

► Visit Professor Sunghyun Choi’s Homepage(Click)

 

Education

  • Ph.D. in Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, 1999
  • M.S. in Electrical Engineering, KAIST, 1994
  • B.S. in Electrical Engineering, KAIST, 1992 

Professional Experience

  • Sep. 2019 – Dec. 2025: Executive Vice President, Samsung Electronics
  • Sep. 2002 – Aug. 2019: Professor, Seoul National University
  • Sep. 1999 – Aug. 2002: Senior Member of Research Staff, Philips Research USA

Major Publications

  • “Digital twin for intelligent network: Data lifecycle, digital replication, and AI-based optimizations,” IEEE Communications Magazine, 2023.
  • “Realizing high power full duplex in millimeter wave system: Design, prototype and results,” IEEE Journal on Selected Areas in Communications, 2023.
  • “EagleEye: wearable camera-based person identification in crowded urban spaces,” in Proc. ACM MobiCom, 2020.
  • “Supremo: Cloud-assisted low-latency super-resolution in mobile devices,” IEEE Transactions on Mobile Computing, 2020.
  • “Smartphone based indoor path estimation and localization without human intervention,” IEEE Transactions on Mobile Computing, 2020.

Vision

  • Advancing AI-native networks for real-world impact and future talent.

Research Plan

  • AI-Native Network Architecture
  • Network Infrastructure for Physical AI
  • Autonomous Network Operations with LLMs and Multi-Agent Systems
  • Experimental Platforms and Digital Twin

Assigned Course

  • Computer Networks
  • AI-Native Network Infrastructure for Physical AI
  • Autonomous Network Operations with LLMs and Multi-Agent Systems