I am completing a Ph.D. in Electrical Engineering and Robotics at Queensland University of Technology (QUT), Australia, advised by Prof. Michael Milford.
Previously, I received an M.Sc. in Mechatronics Systems from PUC-Rio and a B.Sc. in Mechatronics Engineering (1st in my class) from UNI. I also worked in the automation and IT industries for over 6 years in several countries of the Americas and Europe.
During my PhD, I focused on the intersection between deep learning, computer vision, neuroscience, and reinforcement learning with the aim of developing faster learning algorithms and techniques for localization and navigation tasks in mobile robots and autonomous vehicles.
Specifically, I studied neural-level network architectures that underlie these complex tasks in insects (e.g. Drosophila melanogaster) and rat mammalian brains, and developed new neural network models that were found to be orders of magnitude faster and smaller than state-of-the-art deep learning systems.
Given the increasing interest on the CANN component of this paper, a quick demo has been released here.