Hohyeon Kim

Hohyeon Kim is a graduate student in electrical engineering and computer science merging molecular interactions, device physics, and computational modeling into intelligent chemical sensing systems. Machine olfaction systems require sensor arrays with engineered responses combined with machine learning to generate chemical fingerprints, yet existing approaches lack necessary sensitivity and selectivity. As a step toward this goal, he develops fast, sensitive, and selective nanoelectromechanical hydrogen sensors by modeling device physics and characterizing performance through electrical measurements. Hohyeon integrates physical models with experimental measurements, analyzing transient responses and extracting features for chemical classification. He evaluates classification algorithms and fits response kinetics across operating conditions, using these computational workflows to guide material selection and device geometry optimization. As a MathWorks Fellow, Hohyeon will advance this computational framework toward fully embedded sensing platforms for distributed gas monitoring. His goal is to demonstrate whether these sensing systems can support practical environmental and biological monitoring.