Convergence Engineering 2
Human Machine Interface
The CE2 research group develops next-generation AI-integrated neural interface technologies for precise neuromodulation and functional recovery in aging-related neurological disorders. By combining flexible bioelectronic interfaces, self-powered closed-loop systems, and AI-based neural decoding, the group enables high-resolution sensing and modulation of central and peripheral nervous systems. CE2 advances non-invasive and minimally invasive neuromodulation technologies—from preclinical rodent and primate models to clinical studies—targeting motor dysfunction, paralysis, and autonomic imbalance, with the ultimate goal of restoring function and enabling anti-aging neurotherapeutic interventions.
Interdisciplinary research with other groups
CE2 conducts interdisciplinary convergence research by integrating insights from neuroscience, aging biology, and clinical research with advanced materials, electronics, and AI technologies. In collaboration with convergence research groups, CE2 applies neural biomarkers and disease models to optimize decoding algorithms and neuromodulation strategies. Through close partnership with convergence technology groups, CE2 translates AI-driven neural interfaces, energy-harvesting systems, and bioelectronic devices into wearable, scalable, and clinically viable platforms, supporting the development of precision neuromodulation therapies and commercialization for aging-related neurological diseases.
Investigators
Investigators
Sangwoo Kim
Research group leader
Neural Patch Device Development
Therapeutic Platform Development
