Summary
Donghao Qiao is a data scientist and computer vision researcher with 9 years of experience and a Ph.D. focus on enhancing perception for autonomous vehicles. He has deep expertise across computer vision tasks—2D/3D detection, segmentation, tracking, LiDAR-camera fusion and cooperative perception—and practical experience deploying and optimizing models in industrial settings at GEOTAB and CUTRIC. His work spans research and applied projects, from building fire and smoke detection datasets and EfficientDet implementations to driver monitoring and aggressive driving detection using multi-modal sensors. Comfortable teaching and mentoring, he has supported graduate courses in neural networks and medical informatics while co-authoring publications from applied internships. Based in Canada, Donghao blends rigorous academic training with hands-on engineering to turn complex sensor and perception challenges into production-ready solutions.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at Queen's University
Master of Science (M.Sc.), Computer Engineering, Master of Science (M.Sc.), Computer Engineering at Stevens Institute of Technology
Bachelor of Engineering (B.Eng.), Electrical Engineering, Bachelor of Engineering (B.Eng.), Electrical Engineering at Jilin University