CBE - Intelligent E-nose System
The Intelligent Electronic Nose (E-Nose) project focuses on translating the biological complexities of the mammalian sense of smell into a digitized, wearable, and portable technological platform. By combining advanced nano-engineered sensor arrays with machine learning algorithms, the Myung Lab is developing devices capable of "sniffing out" highly specific volatile organic compounds (VOCs) and chemical biomarkers. The primary objective is to create rapid, real-time, and non-invasive diagnostic tools to prevent pandemic-level agricultural diseases, diagnose human medical conditions, and monitor environmental hazards.
For an undergraduate seeking a dynamic, multi-disciplinary research experience, the Intelligent E-Nose project offers an unparalleled opportunity to work at the intersection of nanotechnology, artificial intelligence, and biomedical engineering. This project translates the biological complexities of the mammalian sense of smell into a digitized, wearable device capable of detecting trace disease biomarkers in agricultural environments or human breath. As a student researcher, you wouldn't be confined to a single silo; depending on your interests, you could contribute to synthesizing advanced nanomaterials in a wet lab, designing electrical circuits to capture and process sensor data, or training machine learning algorithms to distinguish specific viral volatile organic compounds (VOCs) from complex background odors. By collaborating on a platform actively designed to prevent the next zoonotic pandemic or create non-invasive medical diagnostics, you will gain hands-on experience seeing how diverse scientific fields merge to engineer urgent, real-world solutions.