Bharat Jayaprakash

According to our database, Bharat Jayaprakash authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories.

Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar

CoRR, June, 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, Shashi Shekhar, William F. Northrop

CoRR, March, 2025

Towards Physics-Guided Foundation Models.

Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar

CoRR, February, 2025

Climate smart computing: A perspective.

Mingzhou Yang, Bharat Jayaprakash, Subhankar Ghosh, Hyeonjung Tari Jung, Matthew Eagon, William F. Northrop, Shashi Shekhar

Pervasive Mob. Comput., 2025

Geo-lucid Conditional Diffusion Models for High Physical Fidelity Trajectory Generation.

Mingzhou Yang, Arun Sharma, Majid Farhadloo, Bharat Jayaprakash, Shashi Shekhar

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Towards Physics-guided Generative Foundation Models.

Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Generative and Agentic AI for Multi-Modality Space-Time Intelligence, 2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories: A Summary of Results.

Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection, 2025

2024

De-Snowing Algorithm for Long-Wavelength LiDAR.

Bharat Jayaprakash, Matthew Eagon, Lu Zhan, William F. Northrop

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

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

CoRR, 2023

Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles.

Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023