Summary
Saeed Shahbandi is a postdoctoral researcher and applied robotics engineer with 11 years of experience at the intersection of mobile robotics, machine learning, and computer vision. His career spans academic research (PhD and teaching) and industry roles building autonomous driving and computer vision systems at Einride, Volvo Group, and Univrses, where he bridged theory and production. He combines deep expertise in signals and systems, computational geometry, and deep learning to tackle perception and autonomy problems, often bringing conceptual spaces and computational awareness into practical pipelines. Based in Stockholm, Saeed is equally comfortable prototyping research ideas and deploying them in industry settings, with a track record of moving from PhD research to hands-on autonomy engineering. An uncommon strength is his long-term continuity across the full research-to-product lifecycle, from colored point-cloud neural methods in internships to current postdoctoral work.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at University of Mazandaran
Doctor of Philosophy - PhD, Signals and Systems, Doctor of Philosophy - PhD, Signals and Systems at Halmstad University
MSc, Automatique et Système de Production (Robotics and Automation), MSc, Automatique et Système de Production (Robotics and Automation) at Ecole centrale de Nantes