Summary
Dorian Tsai is a software engineer and robotics researcher with a decade of experience designing and validating advanced autonomy for exploration platforms across marine, terrestrial and space environments. His work spans robotic vision, control, and machine learning, with a PhD focus on enabling robots to perceive challenging scenes like transparent objects using computational photography and light-field techniques. At QUT he translated research into impact—recasting vision algorithms into Python, scoping automation for reef restoration ROVs/USVs, and making robotics education more accessible via open-source code. Earlier roles at the Canadian Space Agency and JPL honed his systems-integration and field-deployment skills for Mars-analogue and rover projects, pairing hands-on hardware debugging with verification testing. Based in Brisbane, he blends academic rigor with pragmatic project management and stakeholder-facing cost‑benefit analysis to move autonomy from lab demonstrations into real-world missions.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Mechatronics, Robotics, and Automation Engineering, Master of Science (M.Sc.), Mechatronics, Robotics, and Automation Engineering at Aalto University
Master of Science (M.Sc.), Space Science and Technology, Master of Science (M.Sc.), Space Science and Technology at Luleå University of Technology
Bachelor's Degree, Aerospace, Aeronautical and Astronautical Engineering, Bachelor's Degree, Aerospace, Aeronautical and Astronautical Engineering at University of Toronto
Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering at Queensland University of Technology
english (native), french (basic a2), finnish (basic a1), japanese (basic a1)