| 2023 | COMAD | Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping. | Ajay Narayanan, Prasant Misra, Ankush Ojha, Abhinav Gupta, Supratim Ghosh, Arunchandar Vasan |
| 2022 | COMAD | Deep Reinforcement Learning Algorithm for Fast Solutions to Vehicle Routing Problem with Time-Windows. | Abhinav Gupta, Supratim Ghosh, Anulekha Dhara |
| 2022 | IJCNN | Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments. | Deepak Mohapatra, Ankush Ojha, Harshad Khadilkar, Supratim Ghosh |
| 2022 | WSC | A Simulation-Aided Deep Reinforcement Learning Approach for Optimization of Automated Sorting Center Processes. | Deepak Mohapatra, Aritra Pal, Ankush Ojha, Supratim Ghosh, Marichi Agarwal, Chayan Sarkar |
| 2022 | WSC | MODELING AND SIMULATION FOR THE SPREAD OF COVID-19 IN AN INDIAN CITY: A CASE STUDY. | Aditya A. Paranjape, Souvik Barat, Anwesha Basu, Rohan Salvi, Supratim Ghosh, Vinay Kulkarni |
| 2021 | WSC | A Simulation Driven Optimization Algorithm for Scheduling Sorting Center Operations. | Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya A. Paranjape, Souvik Barat, Harshad Khadilkar |