I am fortunate to have worked with a number of enthusiastic students who set direction for work done in the lab.

Graduated Masters Students

1. Akash Agarwal (2017) (Analysis of Lane Level Dynamics for Emergency Vehicles)

2. Rashi Aswani (2018) (Improving Surveillance using Cooperative Target Observation)

3. Gaurav Gupta (2018) (Behavioral analysis and prioritized routing of vehicular traffic during emergency evacuation)

4. Tarun Gupta (2018) (Scalable Planning and Learning for Decentralized MDPs With Event Driven Rewards) (Co-advised with Dr. Akshat Kumar)

5. Susobhan Ghosh (2019) (Learning Strategies for Power Trading in Smart Grids) (Co-advised with Dr. Sujit Gujar, Collaboration with Dr. Easwar Subramanian and Dr. Sanjay P. Bhat)

6. Munnangi Bala Sai Krishna Reddy (2020) (Multi Criteria Cooperative Target Observation)

7. Sreeja Kamishetty (2020) (Pareto Optimal Transportation Solutions for Better Management of Urban Traffic Pollution and Emergency Evacuation) 

8. Vaibhav Gutpa (2021) (Action Selection For Composable Modular Deep Reinforcement Learning) (Collaboration with Dr. Akshat Kumar)

9. Daksh Anand (2021) (Richer Knowledge Transfer in Teacher Student Framework using State Categorization and Advice Replay) (Collaboration with Prof. Balaraman Ravindran)

10. Aditya Srinivas Gear (2021) (Prediction Based Strategies for Negotiations with Dynamically Changing Reservation Value)

11. Kritika Prakash (2022) (Privacy Attacks in Reinforcement Learning with Sensitive Rewards) (Co-advised with Dr. Sujit Gujar)

12. Anoop Karnik Dasika (2022) (Building an AI System to Improve Tracking Accuracy in Air Surveillance)

13. Aishwarya Srivastava (2023) (Mitigating Negative Side Effects) (Collaborators: Dr. Sandhya Subramanian, Dr. Akshat Kumar, Prof. Shlomo Zilberstein)

14. Shreevignesh Suriyanarayanan (2023) (Markov Chain Based Algorithms for City-Scale Pollution-Aware Traffic Routing) (Co-advised with Dr. Girish Varma)

15. [As Co-advisor] Kuntal Chattopadhyay (2023) (COVID-19's Effect on Energy Usage in a Residential Complex in Hyderabad, India) (Primary Advisor: Prof. Vishal Garg)

16. [As Co-advisor] Shashank Reddy Chirra (2023) (Preserving Privacy in Reinforcement Learning with Deception-based Policy Optimization) (Thesis submitted to IIIT Bangalore, Primary Advisor: Dr. Viswanath Gopalakrishnan, Collaboration with Dr. Pradeep Varakantham)

17. Megha Bose (2025) (Learning Adaptive Strategies for Moving Target Defense in Uncertain and Dynamic Environments) (Co-advised with Dr. Akshat Kumar)

18. Dhillu Thambi (2025) (Enhancing and Interpreting Decision Transformers for Continuous Control and Multi-Discrete Action Spaces)

Graduated Honors Students

Sri Vaishnavi Karusala, Thummuluru Prameela Kavya, Kaushik Gunda, Sai Kamal Ammuluru, Kushal Majmundar, Ayush Agarwal, Nonidh Singh, Preet Thakkar, Dheeraj Reddy Nadakatla, Fiza Husain, Divyank Shah, Abhiram Bondada, Trinadh Venkata, Sri Ram Arumulla, Meka Sai Mukund, Sriya Venepally, Ronak Dhingra, Maanasa Kovuru