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Published in IEEE National Aerospace and Electronics Conference (NAECON), 2019
Recommended citation: S. Ragi, S. Dey, A. M. Ali, and H. D. Mittelmann, "Competing Objective Optimization in Networked Swarm Systems," 2019 IEEE National Aerospace and Electronics Conference (NAECON), pp. 88–91, 2019.
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Published in Computing and Communication Workshop and Conference (CCWC), 2020
Recommended citation: M. A. Azam, S. Dey, H. D. Mittelmann, and S. Ragi, "Average Consensus-Based Data Fusion in Networked Sensor Systems for Target Tracking," 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), pp. 964–969, 2020.
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Published in IEEE World AI IoT Congress (AIIoT), 2021
Recommended citation: M. A. Azam, S. Dey, H. D. Mittelmann, and S. Ragi, "Decentralized UAV Swarm Control for Multitarget Tracking Using Approximate Dynamic Programming," 2021 IEEE World AI IoT Congress (AIIoT), pp. 457–461, 2021.
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Published in IEEE Symposium Series on Computational Intelligence (SSCI), 2022
Recommended citation: S. Dey and H. Xu, "Decentralized Adaptive Tracking Control for Large-Scale Multi-Agent Systems Under Unstructured Environment," 2022 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 900–907, 2022.
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Published in Electronics, 2023
Recommended citation: S. Dey and H. Xu, "Intelligent Distributed Swarm Control for Large-Scale Multi-UAV Systems: A Hierarchical Learning Approach," Electronics, vol. 12, no. 1, Art. no. 89, 2023.
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Published in CPS-IoT Week Workshops, 2023
Recommended citation: S. Dey and H. Xu, "Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach," CPS-IoT Week Workshops, pp. 146–151, 2023.
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Published in IFAC-PapersOnLine, 2023
Recommended citation: S. Dey, H. Xu, and M. S. Fadali, "Adaptive Distributed Formation Control for Multi-Group Large-Scale Multi-Agent Systems: A Hybrid Game Approach," IFAC-PapersOnLine, vol. 56, no. 2, pp. 5482–5487, 2023.
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Published in IET Control Theory & Applications, 2023
Recommended citation: S. Dey and H. Xu, "Hierarchical Game Theoretical Distributed Adaptive Control for Large Scale Multi-Group Multi-Agent System," IET Control Theory & Applications, vol. 17, pp. 2332–2352, 2023.
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Published in arXiv Preprint, 2024
Recommended citation: P. C. Shill, M. A. Hakim, and S. Dey, "Human-Robot Interaction and Perceived Irrationality: A Study of Trust Dynamics and Error Acknowledgment," arXiv preprint arXiv:2403.14293, 2024.
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Published in International Joint Conference on Neural Networks (IJCNN), 2024
Recommended citation: S. Dey and H. Xu, "Robust Barrier-Certified Safe Learning-Based Adaptive Control for Multi-Agent Systems in Presence of Uncertain Environments," 2024 International Joint Conference on Neural Networks (IJCNN), 2024.
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Published in American Control Conference (ACC), 2024
Recommended citation: S. Dey and H. Xu, "Large-Scale Multi-Agent System Optimization with Fixed Final Density Constraints: An Imbalanced Mean-Field Game Theory," 2024 American Control Conference (ACC), 2024.
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Published in IEEE National Aerospace and Electronics Conference (NAECON), 2024
Recommended citation: S. Dey and H. Xu, "Adaptive Lifelong Safe Learning Based Intelligent Tracking Control for Nonlinear System Under Unstructured Environment with Non-Stationary Tasks," IEEE National Aerospace and Electronics Conference (NAECON), 2024.
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Published in IEEE National Aerospace and Electronics Conference (NAECON), 2024
Recommended citation: S. Dey and H. Xu, "A Data-Enabled Dual Learning Based Online Receding Horizon Safe-Critical Control for Nonlinear Systems Under Uncertainty," IEEE National Aerospace and Electronics Conference (NAECON), 2024.
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Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025
Recommended citation: S. Dey and H. Xu, "An Imbalanced Mean-Field Game Theoretical Large-Scale Multiagent Optimization With Constraints," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 1, pp. 443–452, 2025.
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Published in Neural Computing and Applications, 2025
Recommended citation: S. Dey and H. Xu, "Safe Adaptive Control for Multi-Agent Systems Under Uncertain Dynamic Environments: A Robust Barrier-Certified Learning Approach," Neural Computing and Applications, vol. 37, pp. 24575–24590, 2025.
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Published in IEEE Transactions on Neural Networks and Learning Systems, 2025
Recommended citation: S. Dey and H. Xu, "Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 2, pp. 3126–3135, 2025.
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Published in IEEE Transactions on Automation Science and Engineering, 2025
Recommended citation: S. Dey and H. Xu, "Online Receding Horizon Safe-Critical Control for Complex Nonlinear System Under Uncertainty: A Biological Brain-Inspired Dual Learning Approach," IEEE Transactions on Automation Science and Engineering, 2025.
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Published in IEEE Conference on Control Technology and Applications (CCTA), 2025
Recommended citation: S. Dey and H. Xu, "Balancing Efficiency and Complexity in Large Scale Multi-Agent Optimization: A Reconfigurable Mean Field Game Approach," IEEE Conference on Control Technology and Applications (CCTA), pp. 333–338, 2025.
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Published in IEEE Military Communications Conference (MILCOM), 2025
Recommended citation: S. Dey, L. Qian, and H. Xu, "Joint Channel Sensing and Dynamic Resource Allocation for Multi-RIS Assisted Wireless Networks: A Bi-Level Optimization Approach," IEEE Military Communications Conference (MILCOM), pp. 1578–1583, 2025.
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Published in Information Sciences, 2025
Recommended citation: S. Dey and H. Xu, "Extended Mean Field Game Theoretical Optimal Distributed Control for Large Scale Multi-Agent Systems: An Efficiency-Complexity Tradeoff," Information Sciences, vol. 719, Art. no. 122432, 2025.
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Published in AIAA SciTech Forum, 2026
Recommended citation: M. Budihartono, H. Moncayo, M. D. Mirmirani, and S. Dey, "Health Monitoring System-Informed Control Barrier Function Filter for Safety-Critical Systems," AIAA SciTech Forum, AIAA 2026-1597, 2026.
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Published in AIAA SciTech Forum, 2026
Recommended citation: R. Jado-Puente, H. Moncayo, M. Budihartono, M. D. Mirmirani, and S. Dey, "Assured Learning for Intelligent Dynamic Systems: A Metacognitive Framework," AIAA SciTech Forum, AIAA 2026-1595, 2026.
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Published in arXiv Preprint, 2026
Recommended citation: S. Dey, M. Budihartono, and H. Moncayo, "Data-Driven Time-Varying Control Barrier Functions for Adaptive Safe-Set Learning with Online Decremental Support Vector Machines," arXiv preprint arXiv:2608.19366, 2026.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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