Research

You can also find my articles on my Google Scholar profile.

Journal Articles


Continuous Vital Signs Monitoring with Loose T-Shirt

Ho Man Colman Leung, Kyle Tong, Ming Gong, Nam Bui, Xia Zhou
MobiDx, 2026
Paper

Continuous Electrocardiogram Monitoring with a Loose T-Shirt

Continuous Vital Signs Monitoring with Loose T-Shirt teaser

Interpreting Earth’s Inner Core Structure via Ultrasonic Scattering Experiments

Ming Gong, Michael I. Bergman
Physics of the Earth and Planetary Interiors, 2025
Paper
Slides

An experimental study of the scattering of ultrasonic compressional waves in an hcp Zn-Sn alloy, serving as an analog to the Fe alloy in Earth’s inner core to better understand the origin of inner core seismic attenuation.

Interpreting Earth’s Inner Core Structure via Ultrasonic Scattering Experiments teaser

An Improved Machine Learning Model for Pure Component Property Estimation

Engineering, 2024
Paper

A new Gaussian Process-based modeling framework that predicts the physico-chemical properties of chemical species.

An Improved Machine Learning Model for Pure Component Property Estimation teaser

Conference Posters


Deep Learning Loss Function and Data Optimization for A.I. Detection of Thin Film Grain Boundaries

Yale Undergraduate Research Conference, 2025
Slides

Identify optimal combination of loss function and data to create a model that can generates an automated tracing most consistent with the ground truth

Deep Learning Loss Function and Data Optimization for A.I. Detection of Thin Film Grain Boundaries teaser

Research Reports


Loss Function Evaluation

2025
Paper
Slides

Accurate tracing of grain boundaries in microscopy images is vital in material science, yet current models need more data and a more accurate loss function. In this report, we present a twofold contribution to improving grain-tracing U-nets.