Sajad Saeedi
Associate Professor Teaching Robotics & AI
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolSajad Saeedi is an Associate Professor specializing in robotics and AI with nine years of experience translating advanced research in SLAM, Bayesian estimation, and real-time computer vision into practical autonomy systems for aerial, ground, and underwater vehicles. He has led multi-robot SLAM, developed 3D voxel mapping (OctoMap), and built autonomy stacks—including perception, path planning in C++ with OpenCV, and multithreaded GUIs—demonstrating a rare blend of theoretical depth and hands-on hardware integration. His background spans industry and academia, from managing optical-network engineering teams to Dyson Research Fellowship work on semantic SLAM at Imperial College, reflecting strong project leadership and cross-disciplinary collaboration. Notably, his systems have been deployed in GPS-denied environments and rendered real-time 3D maps on tablets, and he won the 2011 Unmanned Systems Canada UGV competition while earning a nomination for the Governor General's Gold Medal. Based in London, he teaches robotics and control courses and continues to drive applied research that bridges sensors, perception, and robust fielded autonomy.
9 years of coding experience
19 years of employment as a software developer
Bachelor's Degree Electrical Engineering, Bachelor's Degree Electrical Engineering at K. N. Toosi University of TechnologyM.Sc.E. Electrical Engineering, M.Sc.E. Electrical Engineering at Tarbiat Modares UniversityDoctor of Philosophy (Ph.D.) Electrical and computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and computer Engineering at University of New BrunswickImperial College LondonGithub contributions (5)
SajadSaeediG/SajadSaeediG.github.io
Jul 2023 - Nov 2024
Allan Lab website
Contributions:689 pushes in 1 year 3 months
SajadSaeediG/AlignTrajectory
Jan 2018 - Sep 2018
Contributions:12 commits, 11 pushes, 1 branch in 8 months
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