Vehicular Edge Computing Based Driver Recommendation System Using Federated Learning. - Jayant Vyas; Debasis Das 001; Sajal Kumar Das 001 (MASS, 2020)

TransDBC: Transformer for Multivariate Time-Series based Driver Behavior Classification. - Jayant Vyas; Nishit Bhardwaj; Bhumika; Debasis Das 001 (IJCNN, 2022)

Stress-Aware Recommendation for Safe Driving using MTL-ConvLSTM. - Bhumika; Jayant Vyas; Debasis Das 001 (ITSC, 2022)

DriveBFR: Driver Behavior and Fuel-Efficiency-Based Recommendation System. - Jayant Vyas; Debasis Das 001; Santanu Chaudhury (IEEE Trans. Comput. Soc. Syst., 2022)

Dr. MTL: Driver Recommendation using Federated Multi-Task Learning. - Jayant Vyas; Bhumika; Debasis Das 001; Santanu Chaudhury (VTC Fall, 2023)

Federated learning based driver recommendation for next generation transportation system. - Jayant Vyas; Bhumika; Debasis Das 001; Santanu Chaudhury (Expert Syst. Appl., 2023)

Towards Peer-to-Peer Split Learning. - Jayant Vyas; Ritesh Dhananjay Nikose; Pallavi Ramicetty; Shravan Mohan; Milind Savagaonkar; Anutosh Maitra; Shubhashis Sengupta (COMSNETS, 2024)

Co-Move: COVID-19 and Inter-Region Human Mobility Analysis and Prediction. - Sandip Kumar Burnwal; Pragati Sinha; Bhumika; Jayant Vyas; Debasis Das 001 (IEEE Trans. Comput. Soc. Syst., 2024)

PRO-MTL: Parameterized Route Optimization Using Multi-Task Learning. - Jayant Vyas; Jayesh Budhwani; Debasis Das 001 (ACM Trans. Intell. Syst. Technol., 2025)