Department of CSE, Dr B R Ambedkar National Institute of Technology Jalandhar, Jalandhar, 144011
garga [at] nitj [.dot] ac [.dot] in
[Check my Google Scholar page for full list of publications]
[Recent] Garg, A., Sharma, A. R., Arora, A., and Verma, S. “Distribution-Aware Sampling of Replay Buffer for Mitigating Catastrophic Forgetting.” Information Sciences, Vol. 753, Article 123640, 2026. DOI: 10.1016/j.ins.2026.123640.
[Recent] Goel, M., Singh, S., Khatri, V., Singh, A., Ahuja, G., Garg, A., and Arora, N. “Policy-Aware Multi-Source Remote Sensing for Automated Urban Zoning Compliance Monitoring.” Remote Sensing Letters, accepted for publication, 2026.
[Recent] Garg, A. “Emotionally Intelligent Robots at Work: A Human-Centric Framework for Adaptive Collaboration.” 86th Annual Meeting of the Academy of Management, accepted, 2026.
Kumar, A., Virdi, A., Sharma, N., Garg, A., and Jha, S. S. “AMAF-CD: Adaptive Multimodal Attention Fusion for Collision Detection in Autonomous Vehicles.” 8th International Conference on Data Science and Management of Data (CODS-COMAD), 2025. DOI: 10.1145/3703323.3703326.
Garg, A., and Jha, S. S. “Learning Continuous Multi-UAV Controls with Directed Explorations for Flood Area Coverage.” Robotics and Autonomous Systems, Vol. 180, Article 104774, 2024. DOI: 10.1016/j.robot.2024.104774.
Garg, A., and Jha, S. S. “Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning.” ASME Journal of Computing and Information Science in Engineering, Vol. 24, No. 10, Article 101003, 2024. DOI: 10.1115/1.4066025.
Kumar, A., Verma, K., Garg, A., and Jha, S. S. “Attentive A* for Visual Cue-Based Path Planning in Complex Environments.” Agents and Robots for Reliable Engineered Autonomy Workshop, ECAI, 2024. DOI: 10.1007/978-3-031-73180-8_9.
Garg, A., and Jha, S. S. “Deep Reinforcement Learning-Based Multi-UAV Control for Moving Convoy Tracking.” Engineering Applications of Artificial Intelligence, Vol. 126, Part D, Article 107099, 2023. DOI: 10.1016/j.engappai.2023.107099.
Garg, A., and Jha, S. S. “Decentralized Critical Area Coverage Using Multi-UAV System with Guided Explorations During Floods.” IEEE 18th International Conference on Automation Science and Engineering (CASE), 2023. DOI: 10.1109/CASE56687.2023.10260489.
Garg, A. “Addressing Data Intrinsic Characteristics for Augmentation in Breast Cancer Classification.” 6th Joint International Conference on Data Science and Management of Data (CODS-COMAD), 2023. DOI: 10.1145/3570991.3571046.
Garg, A., and Jha, S. S. “Real-Time Serviceable Path Planning Using UAVs for Waterborne Vehicle Navigation During Floods.” 6th International Conference on Advances in Robotics (AIR), 2023. DOI: 10.1145/3610419.3610433.
Garg, A., and Jha, S. S. “Autonomous Flood Area Coverage Using Decentralized Multi-UAV System with Directed Explorations.” Adaptive and Learning Agents Workshop, 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
Garg, A., and Jha, S. S. “Directed Explorations During Flood Disasters Using Multi-UAV System.” IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022. DOI: 10.1109/CASE49997.2022.9926454.
Sponsored Project: Principal Investigator, “SAMANVAY – Single Operator Command and Control Framework for Coordinated Multi-UAV Operations,” funded by the Ministry of Electronics and Information Technology (MeitY), Government of India, 2026–2027.
Harvard Recognition: Secured 2nd Place in the Space Technology Impact Challenge, HPAIR, Harvard University, Massachusetts, 2019.
Microsoft Research (MSR) Travel Grant: Recipient of an MSR Travel Grant to support participation in the 86th Annual Meeting of the Academy of Management (AoM 2026), Philadelphia, USA.
Defended Thesis - April 2024, Title: "Learning Multi-UAV Policies Using Deep Reinforcement Learning for Flood Area Coverage and Object Tracking".
Research Fellowship from Tata Consultancy Services, TCS Research Scholars Programme, 2020-2023.