Summary
M Mousaei is a Robotics PhD candidate at Carnegie Mellon University with over nine years of research and hands-on engineering experience building perception, localization, and autonomy systems for mobile and aerial robots. He has developed full-stack autonomy for small quadrotors, 3D mapping and EKF-based localization for pipe-crawlers, and custom LiDAR and simulation tooling for planetary rover projects, blending strong algorithmic foundations with practical software/hardware integration. His earlier work in communications produced published optimization methods for integrated radar-communication platforms and pilot design for short-packet reliability, reflecting a cross-disciplinary strength in sensing and signal processing. Comfortable moving between MATLAB/convex optimization, ROS/Gazebo, GTSAM, ICP, and embedded digital design, he brings both academic rigor and competition-proven robotics experience to applied autonomy challenges. An observant detail: his trajectory shows a pattern of turning theoretical insight into fielded systems—from ROBOCUP and AUTCUP teams to deployed autonomous flight prototypes.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, 3.5/4, Master of Science - MS, Electrical and Electronics Engineering, 3.5/4 at University of Illinois at Chicago
Bachelor’s Degree, Electrical, Electronics and Communications Engineering, 17.09/20 (3.72/4), Bachelor’s Degree, Electrical, Electronics and Communications Engineering, 17.09/20 (3.72/4) at Shahid Beheshti University
High School, Mathematics and Physics, 19.4/20, High School, Mathematics and Physics, 19.4/20 at Salam Highschool
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Carnegie Mellon University
English, Persian