Postdoctoral Researcher Dr. Kargar Tasooji is a Postdoctoral Research Fellow in the Heterogeneous Robotics (HeRo) Research Lab, at the UGA School of Computing, where he works with Prof. Ramviyas Parasuraman. His research focuses on advanced algorithms for multi-robot systems, with an emphasis on resilient cooperative localization, communication-aware coverage, and learning-enabled control for autonomous navigation in dynamic and adversarial environments. His work integrates event-triggered control, model predictive frameworks, and hierarchical decision-making to improve the robustness, safety, and efficiency of heterogeneous robotic teams. He received his Ph.D. in Control and Robotic Engineering from the University of Alberta in 2023. During his doctoral studies, he conducted research in the Advanced Control Systems Lab, where he developed event-triggered cooperative control and localization methods for multi-robot systems, designed resilient and secure control schemes, and implemented real-time algorithms for autonomous navigation and multi-agent coordination. He also has industry experience at General Motors, where he worked on vehicle dynamics, autonomous driving, and ADAS technologies, including route optimization, model-based control strategies, and simulation-based validation using MIL, SIL, and HIL environments. He is a Senior Member of IEEE and an invited reviewer for several prestigious journals and conferences, including IEEE Transactions on Automation Science and Engineering, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Informatics, IEEE Robotics and Automation Letters, the International Journal of Robust and Nonlinear Control, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Robotics, the IEEE Internet of Things Journal, the International Journal of Robotics Research, IEEE Transactions on Cybernetics, IEEE International Conference on Intelligent Robots and Systems (IROS) and IEEE International Conference on Robotics and Automation (ICRA). Education Education: Ph.D.; University of Alberta (U of A), Canada, 2022 M.Sc.; Ozyegin University (Ozu), Turkey, 2018 B.Sc.; Urmia University of Technology, 2008 Research Research Areas: Robotics Artificial Intelligence Research Interests: Multi-Robot Systems Motion Control and Planning State Estimation Decision Making Fault-Tolerant Control Autonomous Driving Artificial Intelligence Selected Publications Selected Publications: T. Kargar Tasooji and R. Parasuraman, ”Distributed Fault-Tolerant Multi-Robot Cooperative Localization in Adversarial Environments,” 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),Hangzhou, China, 2025, pp. 4626-4633. S. Nistane, T. Kargar Tasooji and R. Parasuraman, ”H-Cov: Multi-UAV Sensor Coverage with Altitude Optimization for Target Tracking”, Aerial Robotics Workshop, IEEE International Conference on Robotics and Automation (ICRA), May 2025. T. Kargar Tasooji, S. Khodadadi and H. J. Marquez, ”Event-Based Secure Consensus Control for Multirobot Systems With Cooperative Localization Against DoS Attacks,” IEEE/ASME Transactions on Mechatronics. T. Kargar Tasooji and H. J. Marquez, “Event-Triggered Consensus Control for Multi-Robot Systems withCooperative Localization,” IEEE Trans. Ind. Electron., July 2022. T. Kargar Tasooji and H. J. Marquez, “Cooperative Localization in Mobile Robots Using Event-TriggeredMechanism: Theory and Experiments,” IEEE Trans. Autom. Sci. Eng., vol. 19, no. 4, pp. 3246-3258, 2022. T. Kargar Tasooji and H. J. Marquez, ”Decentralized Event-Triggered Cooperative Localization in MultirobotSystems Under Random Delays: With/Without Time-stamps Mechanism,” IEEE/ASME Trans. Mechatronics, Sept.2022. T. Kargar Tasooji and H. J. Marquez, ”A Secure Decentralized Event-Triggered Cooperative Localization inMulti-Robot Systems Under Cyber Attack,” IEEE Access, vol. 10, pp. 128101-128121, 2022. S. Khodadadi, T. Kargar Tasooji and H. J. Marquez, ”Observer-Based Secure Control for Vehicular Platooning Under DoS Attacks,” IEEE Access, vol. 11, pp. 20542-20552, 2023.
