Hussam Atoui
Papers
2
Total Citations
9
H-Index
2
About
Hussam Atoui is a researcher advancing the field of autonomous vehicle control, with a focus on lateral dynamics and robust control strategies. His work centers on designing and experimentally validating Linear Parameter-Varying (LPV) controllers that enable vehicles to handle diverse driving scenarios—from precise trajectory tracking to sudden reference changes—across a full range of speeds. In his most-cited paper (2020, 6 citations), Atoui introduced a speed-dependent LPV model that significantly improves vehicle responsiveness and stability, a critical contribution to real-world autonomous driving. He further extended this work by integrating planning and robust control strategies within the Robot Operating System (ROS) framework (2023, 3 citations), bridging the gap between theoretical control design and practical implementation. Atoui’s research addresses key challenges in robotics and automotive control, offering scalable solutions for the next generation of self-driving cars. His experimental validations underscore the real-world applicability of his methods, making his work a valuable resource for engineers and researchers developing safer, more reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
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