Saina Ramyar is a dedicated Autonomous Driving Software Engineer at Leidos, where she specializes in the intricate domains of robotics path planning and control. With a robust background in artificial intelligence and control systems, Saina is passionate about developing safe and efficient trajectories for self-driving...
Saina Ramyar is a dedicated Autonomous Driving Software Engineer at Leidos, where she specializes in the intricate domains of robotics path planning and control. With a robust background in artificial intelligence and control systems, Saina is passionate about developing safe and efficient trajectories for self-driving vehicles. Her expertise is particularly evident in her management of motion planning and control for connected and automated vehicles (CAVs) within the CARMA Platform, an open-source software initiative spearheaded by the Federal Highway Administration (FHWA).
In her current role, Saina has successfully led key projects that focus on advanced applications such as cooperative merging, platooning, and dynamic lane changes. These projects not only enhance vehicle-to-vehicle communication but also ensure seamless interactions at all-way stops and yield scenarios, contributing to the overall safety and efficiency of autonomous driving systems. Her proficiency in statistical modeling and data analysis, coupled with her skills in SLAM (Simultaneous Localization and Mapping) and anomaly detection, allows her to create robust algorithms that improve vehicle navigation and decision-making processes.
Saina's technical toolkit includes advanced machine learning frameworks like Keras and Convolutional Neural Networks (CNNs), which she leverages to develop predictive models that enhance the performance of CAVs. Her background in electrical engineering and power electronics further enriches her approach to solving complex challenges in the autonomous driving landscape. As she continues to push the boundaries of innovation at Leidos, Saina remains committed to advancing the future of mobility through her expertise in AI and control systems, ultimately striving for a safer and more connected world.
