Summary
Mahsa Parsapour is a Vehicle Software Developer with a PhD in Systems and Control and a decade of experience bridging control theory, robotics, and human motion analysis. She has led research that formulates and implements optimal control and inverse optimization algorithms to model and analyze human squat and limb motions, using tools across C++, Python, MATLAB and simulation frameworks like ROS/Gazebo. Her work spans academia and industry—from postdoctoral datasets and algorithm development at the University of Waterloo to applied vehicle software at General Motors—demonstrating an ability to translate biomechanical insights into robust engineered systems. Skilled in model-based simulation, data cleaning/visualization, and teaching, she combines rigorous mathematical modeling with practical implementation experience on real robots and experimental human data. An understated strength is her track record of adapting advanced control methods (e.g., sliding mode and optimal control) across diverse platforms and scales, making her especially effective at integrating bio-inspired approaches into production-focused software.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Electrical Engineering - Control, Master of Science (M.Sc.), Electrical Engineering - Control at K. N. Toosi University of Technology
Doctor of Philosophy - PhD, Electrical and Computer Engineering - Systems and Control, Doctor of Philosophy - PhD, Electrical and Computer Engineering - Systems and Control at University of Waterloo
English, Persian, French