Future connected vehicles: challenges and opportunities for spatio-temporal computing. - Reem Y. Ali; Venkata M. V. Gunturi; Shashi Shekhar 001; Ahmed Eldawy; Mohamed F. Mokbel; Andrew J. Kotz; William F. Northrop (SIGSPATIAL/GIS, 2015)

Discovering Non-compliant Window Co-Occurrence Patterns: A Summary of Results. - Reem Y. Ali; Venkata M. V. Gunturi; Andrew J. Kotz; Shashi Shekhar 001; William F. Northrop (SSTD, 2015)

A Markov Chain-based quantitative study of angular distribution of photons through turbid slabs via isotropic light scattering. - Xuesong Li 005; William F. Northrop (Comput. Phys. Commun., 2016)

Discovering non-compliant window co-occurrence patterns. - Reem Y. Ali; Venkata M. V. Gunturi; Andrew J. Kotz; Emre Eftelioglu; Shashi Shekhar 001; William F. Northrop (GeoInformatica, 2017)

Physics-guided energy-efficient path selection: a summary of results. - Yan Li 049; Shashi Shekhar 001; Pengyue Wang; William F. Northrop (SIGSPATIAL/GIS, 2018)

Actor-Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (AIM, 2019)

Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (ITSC, 2019)

A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (IV, 2019)

Trajectory-aware Lowest-cost Path Selection: A Summary of Results. - Yan Li 049; Pratik Kotwal; Pengyue Wang; Shashi Shekhar 001; William F. Northrop (SSTD, 2019)

Risk-aware Energy Management of Extended Range Electric Delivery Vehicles with Implicit Quantile Network. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (CASE, 2020)

Significant lagrangian linear hotspot discovery. - Yan Li 049; Yiqun Xie; Pengyue Wang; Shashi Shekhar 001; William F. Northrop (IWCTS@SIGSPATIAL, 2020)

Formal methods approach to the charging facility location problem for battery electric vehicles. - Matthew J. Eagon; William F. Northrop (IV, 2020)

Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (IV, 2020)

A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (CoRR, 2020)

Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (CoRR, 2020)

Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data. - Yan Li 049; Pratik Kotwal; Pengyue Wang; Yiqun Xie; Shashi Shekhar 001; William F. Northrop (Trans. Data Sci., 2020)

Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results. - Harish Panneer Selvam; Yan Li 049; Pengyue Wang; William F. Northrop; Shashi Shekhar 001 (CoRR, 2021)

Revolutionizing electric vehicle management: spatial computing challenges and opportunities. - Hyeonjung (Tari) Jung; Mingzhou Yang 001; Matthew Eagon; William F. Northrop (IWCTS@SIGSPATIAL, 2022)

Model-Based Framework to Optimize Charger Station Deployment for Battery Electric Vehicles. - Matthew J. Eagon; Setayesh Fakhimi; George Lyu; Audrey Yang; Brian Lin; William F. Northrop (IV, 2022)

Mass Detection for Heavy-Duty Vehicles using Gaussian Belief Propagation. - Matthew Eagon; Setayesh Fakhimi; Adam Pernsteiner; William F. Northrop (IV, 2022)

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. - Yan Li 049; Mingzhou Yang 001; Matthew Eagon; Majid Farhadloo; Yiqun Xie; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

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)