Advancing human-centric AI with multimodal biosignals
To decode and model human brain and physiological signals through AI for impactful healthcare and neurotechnology
The Computational Neural Intelligence (CONI) Lab at CUK develops AI-driven computational frameworks for modeling and interpreting human brain and physiological states. Our research centers on multimodal biosignal intelligence, including EEG, ECG, and fMRI, with applications in brain–computer interfaces, neurorehabilitation, and precision digital health. We integrate machine learning and neuroinformatics to design interpretable and clinically relevant AI solutions. The lab maintains active collaborations with leading medical centers in Korea, including Samsung Medical Center, as well as international partners such as the University of Liège, the University of Wisconsin–Madison, and the University of Essex.
Latest News
• Mar 2026 — Our paper from CONI Lab was accepted to the 28th International Conference on Pattern Recognition (ICPR 2026) (BK Conference = 1)
• Feb 2026 — Hyunwook Kang received the Best Paper Award at the 2026 Brain & AI Symposium
• Jan 2026 — Three papers from CONI Lab were accepted to the IEEE International Winter Conference on Brain-Computer Interface 2026
• Dec 2025 — Hyunsik Yoo received the Best Poster Award at the Korean EEG and Neurophysiology Society Conference
• Sep 2025 — CONI Lab students received top awards at the 2025 Biohealth Competition
Deep learning & transfer learning
Explainable and interpretable AI
Brain connectivity and network
Causal and dynamical modeling
Diagnosis and prognosis modeling
Clinical decision support
Brain-computer interface
Brain-state monitoring