Dr. Matthew Giamou

Overview

Matthew Giamou joined McMaster’s Department of Computing and Software as an Assistant Professor in July of 2023. His Autonomous Robotics and Convex Optimization Laboratory (ARCO Lab) solves challenging robotic perception and planning problems with cutting-edge optimization methods. Prior to joining McMaster, he was a postdoctoral researcher at the Institute for Experiential Robotics at Northeastern University. He received a B.A.Sc. in Engineering Science from the University of Toronto in 2015, an M.Sc. in Aeronautical and Astronautical Engineering from the Massachusetts Institute of Technology in 2017, and a Ph.D. from the University of Toronto’s Institute for Aerospace Studies in 2022.

Matthew’s work has been published and presented in multiple international journals and conferences. His core theoretical research interests are all related to global optimization techniques, but his work has been recognized with awards or nominations for applications spanning sensor calibration, multi-robot communication, and deep learning for robot perception. ARCO Lab is presently focused on designing algorithms for global polynomial optimization tailored to spatiotemporal data for fast and robust motion planning and robot perception with performance and safety guarantees.