I am completing a Ph.D. in electrical engineering and robotics at Queensland University of Technology, Australia, advised by Michael Milford.
Previously, I received a B.Sc. in mechatronics engineering (1st in my class) from UNI in 2009, and an M.Sc. in mechatronics systems from PUC-Rio in 2012. 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 for motion-and-vision based localization and navigation tasks in the context of mobile robots and autonomous vehicles.
Specifically, I studied biological neural architectures underlying these complex tasks in insect and rat mammalian brains, and developed novel high-performance and robust neural network models that were shown to be orders of magnitude faster and smaller than classical methods, while setting new state-of-the-art performance metric standards with very high throughput and low latency.
My research papers have been published at top-tier machine learning and robotics conferences/journals such as NeurIPS,
New! Completed a five-month industry-based internship.
Topic (BSc thesis): Control of a three-phase induction motor via neural networks using a digital signal processor (DSP).
IEEE Transactions on Robotics (T-RO)
IEEE Robotics and Automation Letters (RA-L)
Journal of the Brazilian Society of Mechanical Sciences and Engineering (BMSE)
International Journal of Fuzzy Systems (IJFS)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)