Dean Sacoransky is a Master’s student in the Electrical and Computer Engineering department. He is co-supervised by Dr. Keyvan Hashtrudi-Zaad and Dr. Joshua Marshall. His research focuses on all-weather autonomous vehicle path estimation and localization using automotive radar. This project involves using artificial intelligence to robustly detect reflective lane markers.

Dean previously studied Computer Engineering (B.A.Sc.) at Queens University, graduating in 2022. During his undergrad, he worked on various projects, including dynamic object detection and image classification for autonomous vehicle perception systems. Dean is a member of the Queen’s AutoDrive Challenge II Team.