Masood Ghasemi

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About

Masood Ghasemi’s research centers on the control and coordination of multiagent and multirobot systems, with a particular emphasis on sliding mode control and finite-time stability. His major contributions lie in developing robust, finite-time tracking and coordination strategies for complex agent dynamics, including underactuated systems. His most-cited work, “Finite-time tracking using sliding mode control” (2014), has garnered 68 citations, establishing a foundation for time-critical control applications. In a notable 2014 paper, he introduced a novel integrated coordinated control and obstacle avoidance approach for underactuated agents, leveraging graph-theoretic communication topologies—a significant step toward practical multirobot deployment. His 2013 work further advanced the field by applying finite-time stability theory to coordinated motion in multiagent networks, ensuring convergence within a guaranteed time frame. Through these contributions, Ghasemi has shaped modern approaches to resilient, decentralized control, offering tools that are essential for applications ranging from drone swarms to autonomous underwater vehicles. His research continues to influence both theoretical developments and real-world robotic coordination.