Farzana Sharmin Rahman
About Farzana Sharmin Rahman
Farzana Sharmin Rahman is a Software Engineer at Nuro, specializing in state estimation and sensor fusion for autonomous systems. She earned her PhD in Navigation and Robotics from the University of California, Riverside, and has experience with various sensors including GPS, IMU, camera, and LiDAR.
Work at Nuro
Farzana Sharmin Rahman has been employed at Nuro as a Software Engineer since 2020. She works in Mountain View, California, contributing to the development of autonomous vehicle technologies. Her role involves applying her expertise in state estimation and sensor fusion, which are critical for the functionality of autonomous systems.
Education and Expertise
Farzana Sharmin Rahman earned her Doctor of Philosophy (PhD) in Navigation and Robotics from the University of California, Riverside, where she studied from 2015 to 2020. She also holds a Bachelor's degree in Electrical, Electronic and Communications Engineering Technology from Bangladesh University of Engineering and Technology, completed from 2009 to 2014. Her academic background provides her with a strong foundation in inertial navigation systems and computer vision.
Background
Farzana Sharmin Rahman has a diverse background in engineering and research. Prior to her current position at Nuro, she worked as a Graduate Research Assistant at the University of California, Riverside from 2016 to 2020. During this time, she focused on research related to simultaneous localization and mapping (SLAM) in autonomous environments. Additionally, she gained practical experience as a Summer Intern at Point One Navigation in 2019.
Research Projects
Farzana Sharmin Rahman has been involved in significant research projects during her academic career. Notably, she conducted a project focused on local and network DGNSS algorithms and performance studies. Her research contributions include advancements in state estimation and sensor fusion techniques, which are essential for the development of autonomous systems.
Technical Skills
Farzana Sharmin Rahman possesses extensive technical skills in working with various sensors, including GPS, IMU, camera, and LiDAR. Her expertise in these areas supports her work in autonomous vehicle technology, particularly in the integration and application of sensor data for navigation and mapping.