Publications

J. Bhargav, M. Ghasemi, and S. Sundaram, A Unified Framework for Joint Sensor Placement and Scheduling for Intrusion Detection, Preprint (under review).

J. Bhargav, Y. Chang, M. Ghasemi, and S. Sundaram, Learning Structured Set Utility Functions with Contrastive Element Representations, Transactions on Machine Learning Research (TMLR), 2026.

J. Bhargav, S. Sundaram, and M. Ghasemi, Robust Information Selection for Hypothesis Testing with Misclassification Penalties, IEEE Transactions on Automatic Control (TAC) , 2026.

J. Bhargav, M. Ghasemi, and S. Sundaram, Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms, Automatica, 2026.

S. Sarkar, K. U. Rao, V. Prema, M. S. Bhaskar, S. Padmanaban, and J. Bhargav, A Model for Effect of Partial Shading on PV Panels with Experimental Validation, Energy Reports, Elsevier, 2024.

S. Sarkar, K. U. Rao, V. Prema, J. Bhargav, and T. R. Shourya, Novel Modular LS-SVM based Regression Model for Prediction of Solar Power, International Journal of Engineering Sciences and Management, 2019.

J. Bhargav, Z. Xu, V. Tzoumas, M. Ghasemi, and S. Sundaram, Distributed Equilibrium-Seeking in Target Coverage Games via Self-Configurable Networks under Limited Communication, 65th IEEE Conference on Decision and Control (CDC), Honolulu HI, 2026.

M. H. Ahmed, J. Bhargav, and M. Ghasemi, Online Laplacian-based Representation Learning in Reinforcement Learning, 42nd International Conference on Machine Learning (ICML), Vancouver BC, 2025.

J. Bhargav, S. Sundaram, and M. Ghasemi, Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs, 7th Annual Learning for Dynamics and Control Conference (L4DC), Ann Arbor MI, 2025.

J. Bhargav, H. Sharma, A. Bhattacharya, T. Fujimoto, A. Rahman, S. Mukherjee, T. Ramachandran, and S. Chatterjee, AdverSAR - An Attentive Reasoning Framework for Multi-Agent Cooperative Navigation under Adversarial Communication, Midwest Robotics Workshop (MWRW), Chicago IL, 2024.

J. Bhargav, M. Ghasemi, and S. Sundaram, Submodular Information Selection for Hypothesis Testing with Misclassification Penalties, 6th Annual Learning for Dynamics and Control Conference (L4DC), Oxford UK, 2024.

J. Bhargav, M. Ghasemi, and S. Sundaram, On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes, American Control Conference (ACC), San Diego CA, 2023.

J. Bhargav, J. Betz, H. Zheng, and R. Mangharam, Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles, 14th IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2022.

J. Bhargav, J. Betz, H. Zheng, and R. Mangharam, Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars, IEEE International Conference on Robotics and Automation (ICRA), 1st Workshop on Opportunities and Challenges in Autonomous Racing, Virtual, 2021.

S. Sarkar, K. U. Rao, J. Bhargav, S. Sheshaprasad, and A. Sharma, IoT based Wireless Sensor Network (WSN) for Condition Monitoring of Low Power Rooftop PV Panels, 4th IEEE International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), Chennai, India, 2019.

S. Sarkar, K. U. Rao, J. Bhargav, S. Sheshaprasad, and A. Sharma, Signature Analysis of Electrical Faults in Standalone PV Systems with Storage, 3rd IEEE International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), Noida, India, 2019.

J. Bhargav, T. R. Shourya, A. Anantharaman, C. Chinmay, K. U. Rao, and G. R. Salanke, Parametrics for the Choice of Embedded Systems and Control Algorithms for Application Specific Robot Designs, 2nd IEEE International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2018.

S. Sarkar, K. U. Rao, V. Prema, A. Sharma, J. Bhargav, and S. Sheshaprasad, User Interactive GUI for Integrated Design of PV Systems, Intelligent Renewable Energy Systems, Wiley Online Library, 2022.

Basic Engineering Circuit Analysis, 12th Edition: International Adaptation , J. D. Irwin and R. M. Nelms, John Wiley & Sons, 2022.
Contributing Subject Matter Expert.

J. Bhargav, Efficient Algorithms for Information Gathering and Decision-Making in Large-Scale Systems, Doctoral Dissertation, Purdue University Graduate School, 2026.