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
• Jul 2026 – Taein In received an Encouragement Award at the KCC 2026 Undergraduate/Junior Paper Competition
• Jul 2026 – Our review paper was published in NeuroImage: Clinical
• Jun 2026 – Our paper was published in IEEE Transactions on Instrumentation and Measurement
• May 2026 – Our paper was accepted to the 7th International Conference on Neurorehabilitation (ICNR 2026)
• Apr 2026 — Three papers from CONI Lab were accepted to the IEEE Engineering in Medicine and Biology Society (EMBC 2026)
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