Tohid Kargar Tasooji
Papers
5
Total Citations
138
H-Index
5
About
Tohid Kargar Tasooji is a leading researcher in multirobot systems, specializing in cooperative localization, event-triggered control, and cybersecurity. His work addresses fundamental challenges in enabling robot teams to operate under severe communication constraints and adversarial conditions. He pioneered the Decentralized Event-Triggered Cooperative Localization (DECL) algorithm, which allows robots to share localization data only when necessary, dramatically reducing bandwidth usage while maintaining accuracy—a contribution that has garnered 50 citations in its foundational paper. Tasooji has extended this framework to handle random time delays, with and without timestamp mechanisms, and developed secure versions resilient to cyber attacks, including denial-of-service (DoS) attacks. His 2022 paper on secure DECL under cyber attack (16 citations) and 2023 work on event-based secure consensus control against DoS attacks (15 citations) are critical for deploying resilient multirobot teams in hostile environments. With over 138 total citations across his most-cited works, Tasooji’s research bridges theory and practice, validated through real-world experiments, making him a key figure in advancing safe, efficient, and secure autonomous multirobot coordination.
Research Focus
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Top Papers
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