Mauro Massari is an Associate Professor at Politecnico di Milano with over a decade of academic experience specializing in spacecraft trajectory optimization, control theory, and autonomous navigation for planetary rovers. His work blends advanced direct transcription methods (multiple shooting, finite element in time) with both classical state-space control and neural-network-based approaches, enabling robust obstacle avoidance from stereo-vision reconstructions. He contributes to preliminary space mission design using concurrent engineering practices and has progressed through roles from postdoc to full faculty at a leading aerospace institution. Based in Milan, he pairs rigorous PhD-level research with practical system-design insight, often focusing on computational methods that bridge theoretical optimal control and onboard autonomy.
9 years of coding experience
12 years of employment as a software developer
Ph.D., Aerospace Engineering, Ph.D., Aerospace Engineering at Politecnico di Milano
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