조수연 교수 사진

성균관대학교화학공학부

센서시스템연구실

조수연 부교수 (Sooyeon Cho)

홈페이지의 모집 안내

“We are actively seeking highly motivated graduate students!”

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연구실 소개

이 연구실은 나노소재와 인공지능을 활용해 공정 분석, 환경 모니터링, 의료 진단을 위한 센서 플랫폼과 센서 신호 분석을 연구합니다. 또한 분자인식 기술과 형광 나노변환기의 3차원 계면 설계를 바탕으로 생체표지자를 신속하고 무표지 방식으로 검출하는 센서 시스템을 개발합니다.

AI가 연구실 홈페이지를 바탕으로 생성한 연구실 소개예요

연구실 홈페이지의 소개

To drive this innovation, our laboratory focuses on developing next-generation sensor platforms based on nanotechnology, material sciences, and system engineering. By actively fusing these ultra-sensitive nanomaterials with advanced artificial intelligence, we pioneer intelligent detection systems that provide actionable, real-time solutions for process analysis, environmental monitoring, and medical diagnostics. There has been a strong drive to find newbiochemical markers sensing technology for faster and simpler diagnostics, which can directly detect target molecules in on-site samples without complicated steps. Even though traditional analytical chemistry including mass spectroscopy or chromatography has a lot of advantages, we could not accelerate development time due to the complicated development and production process and their non-versatility. To accelerate the diagnostic approaches for various unknown diseases, we are developing a rapid and label-free sensor system based on a unique molecular recognition technique. We design tailored 3D interfaces of the fluorescent nanotransducer and fabricate the preemptive sensor library for target biochemical markers. We are interested in the development timeline and workflow necessary to generate a sensor for biomarker detection, starting from the identification of the new target itself to deployable hardware ready for a screening of the population. If new target molecules begins to circulate, this workflow can generate a 3D nanointerface library and synthesize recognition candidates within a few days. Computational analysis can be used to predict selectivity and sensitivity performance in advance of experimental validation. Then, the optimized nanosensor with selective recognition for the unknown biomolecular target can b

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연구 분야

화학생물 센서 시스템 · 분자인식 설계 · 공정분석기술 · 인공지능 센서 신호 분석

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