Alireza Kazemi
Papers
2
Total Citations
37
H-Index
2
About
Alireza Kazemi is a rising researcher in autonomous systems and control engineering, with a focus on multi-vehicle coordination and predictive control. His work centers on developing robust and resilient strategies for managing complex, dynamic formations—from vehicle platoons to multi-mobile robot systems. In his highly cited 2023 paper, Kazemi introduced a Laguerre-based and robust Model Predictive Control (MPC) framework for longitudinal and lateral control of vehicle platoons, enabling safe merge and exit maneuvers. This work, garnering 32 citations, addresses critical challenges in intelligent transportation systems. More recently, his 2025 paper extends these ideas to resilient nonlinear MPC for formation-containment in multi-mobile robot systems, tackling uncertainties and disturbances in real-world environments. While his publication record is still developing, Kazemi’s contributions are already shaping how autonomous fleets achieve coordinated, fault-tolerant behavior. His research bridges theoretical control advances with practical deployment, making him a promising voice in the future of autonomous mobility and cooperative robotics.
Research Focus
Key Achievements
Top Papers
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