My research has mainly been focused on computer vision, a subfield of artificial intelligence 🧠 that aims to create programs that enable computers to 👁️ "see" like humans. I have been lucky enough to work with lots of amazing researchers from around the world 🇺🇸🇨🇦🇬🇧. Below is a sample of what we have accomplished together.
In sensitive applications such as healthcare or banking, privacy is paramount, preventing the development of data hungry models. I evaluated the usability of privacy preserving machine learning tools.
One approach to making computers "see" like humans is to leverage our interdisciplinary understanding of the human vision system (psychology, biology, and optics) to design systems that mimic properties that we observe in humans. For example, I have trained a neural network to classify textures as a human would. Additionally, we have created a system that responds to optical illusions by "filling in gaps" similar to way a human does. Check out the website, paper (BMVC 2021), and presentation below.