Woo-Hyun Ko

Texas A&M University

Papers

4

Total Citations

23

H-Index

4

About

Woo-Hyun Ko is a researcher at the forefront of cyber-physical systems (CPS) and next-generation wireless networks. His work bridges the gap between physical processes and digital control, with key contributions in real-time RAN intelligence, autonomous manufacturing, and middleware for CPS. Ko’s most cited paper, "Demo: EdgeRIC: Delivering Realtime RAN Intelligence" (2023, 8 citations), introduces a groundbreaking framework for optimizing NextG cellular networks—enabling applications like robot control and interactive media streaming by leveraging application-layer data to dynamically allocate wireless resources. His doctoral thesis, "Middleware and Architecture for Advanced Applications of Cyber-physical Systems" (2017, 6 citations), addresses cross-layer design challenges in dynamic environments, proposing scalable solutions for reliable CPS integration. Ko also excels in advanced manufacturing, developing an autonomous laser kirigami method with real-time vision-based feedback (2021, 5 citations) and a multi-component automated laser-origami system for cyber-manufacturing (2017, 4 citations). These innovations demonstrate his ability to combine low-cost hardware with intelligent software, achieving precise, adaptive control. With a growing citation footprint, Ko’s work is shaping the future of responsive, intelligent systems—from cellular networks to smart factories—making him a rising figure in CPS and wireless research.

Research Focus

Key Achievements

4
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Demo: EdgeRIC: Delivering Realtime RAN Intelligence
8 citations · 2023
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Texas A&M University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago