Scholar
Matthew Giamou
Google Scholar ID: TWcYp5sAAAAJ
McMaster University
Citations & Impact
Citations
570
H-index
13
i10-index
14
Publications
20
Co-authors
36
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Mentioned achievements in areas such as multi-sensor calibration, supervised deep learning for rotations, and inverse kinematics.
Research Experience
- - Currently an Assistant Professor at McMaster University's Department of Computing and Software, leading the Autonomous Robotics and Convex Optimization Laboratory (ARCO Lab).
- - Previously worked as a postdoctoral researcher at Northeastern University's Robust Autonomy Laboratory (NEURAL), developing global polynomial optimization techniques for robust machine perception.
Education
- - PhD: Completed with Prof. Jonathan Kelly at the Space and Terrestrial Autonomous Robotic Systems (STARS) lab, University of Toronto.
- - SM: Obtained a Master's degree in Aerospace Engineering from the Aerospace Controls Lab at MIT in 2017.
- - BASc: Graduated from the University of Toronto with a Bachelor's degree in Engineering Science in 2015.
Background
- Research interests include convex optimization for fast and provably globally optimal or robust solutions to geometric problems in robotics. Areas of expertise encompass multi-sensor calibration, supervised deep learning for rotations, and inverse kinematics.
Miscellany
- Personal interests not explicitly stated; actively recruiting graduate students interested and experienced in optimization algorithms, mobile robot perception and state estimation, probability, statistics, and machine learning, motion planning and control for manipulators, and software-hardware integration experiments for autonomous ground vehicles and manipulator robots.
