Trustworthy learning under drift
Making model drift diagnosable, not merely detectable — locating which causal factors moved, and repairing only those paths.
Kangwon National University · Dept. of Advanced AI Engineering
Cognitive Computing
& Networking Lab
Any machine can learn. Ours know when they're wrong — and fix themselves. We build AI that explains its own decisions, wireless networks that think ahead, and security built to outlast the quantum age.
204
Publications by the PI
4,800+
Citations
3
Lab members
2026
Recruiting M.S. & Ph.D.
What we work on
All research areas →Next-generation wireless networks
MAC and routing design, resource allocation, and spectrum access for dense, heterogeneous, and cognitive radio deployments.
UAV localization & aerial networks
Positioning, trajectory, and connectivity for aerial platforms acting as mobile sensors and flying relays.
Security for IoT & smart infrastructure
Learning-driven anomaly detection, lightweight cryptography for constrained devices, and quantum-resistant consensus.
News
2026·08
CCNL launches its new lab website at ccnlab.net.
2026
We are recruiting M.S. and Ph.D. students — see the Join us page.
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More news coming soon.