[학부 세미나] 9/11(금) 전성찬 교수(연세대학교 기계공학과) "AI를 통한 융합기술은 어디까지인가?"

기계공학부 구성원들의 많은 관심과 참여 부탁드립니다.

▣ 제 목: AI를 통한 융합기술은 어디까지인가?

▣ 연 사: 전성찬 교수

▣ 소 속: 연세대학교 기계공학과

▣ 일 시: 2026. 9. 11.(Fri) 16:00

▣ 장 소: 제2공학관 B040호

▣ 초 록

Molecular sensor systems often face challenges from electrical noise or optical miniaturization limits, hindering rapid and precise analysis. This work presents an artificial intelligence (AI)-driven platform that evaluates both electrical and optical signals. By employing dedicated nanomaterial sensors optimized for each method, the system combines high electrochemical sensitivity with the structural specificity of optical analysis. These distinct pathways ensure comprehensive molecular profiling without signal interference. Data integration is performed at the software level, where machine learning algorithms cross-validate the outputs. The AI isolates subtle signals from noise, recognizing patterns that single-modality systems might miss. This enables accurate, real-time identification of target molecules, from biochemical substances to trace exhaled gases. This framework provides a robust solution for complex molecular analysis by linking specialized hardware with data-driven validation.