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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA