Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles. - Mingzhou Yang 001; Bharat Jayaprakash; Matthew Eagon; Hyeonjung (Tari) Jung; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks. - Hyeonjung (Tari) Jung; Jayant Gupta; Bharat Jayaprakash; Matthew Eagon; Harish Panneer Selvam; Carl Molnar; William F. Northrop; Shashi Shekhar 001 (CoRR, 2023)

De-Snowing Algorithm for Long-Wavelength LiDAR. - Bharat Jayaprakash; Matthew Eagon; Lu Zhan; William F. Northrop (IV, 2024)

Climate smart computing: A perspective. - Mingzhou Yang 001; Bharat Jayaprakash; Subhankar Ghosh; Hyeonjung Tari Jung; Matthew Eagon; William F. Northrop; Shashi Shekhar 001 (Pervasive Mob. Comput., 2025)

Towards Physics-Guided Foundation Models. - Majid Farhadloo; Arun Sharma 006; Mingzhou Yang 001; Bharat Jayaprakash; William F. Northrop; Shashi Shekhar 001 (CoRR, 2025)

Physics-based machine learning framework for predicting NOx emissions from compression ignition engines using on-board diagnostics data. - Harish Panneer Selvam; Bharat Jayaprakash; Yan Liu 002; Shashi Shekhar 001; William F. Northrop (CoRR, 2025)

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories. - Arun Sharma 006; Mingzhou Yang 001; Majid Farhadloo; Subhankar Ghosh; Bharat Jayaprakash; Shashi Shekhar 001 (CoRR, 2025)