Dr. Neil Bruce
Research Overview
Dr. Neil Bruce’s research focuses on understanding and interpreting complex visual and perceptual data using artificial intelligence. His work brings together computer vision, deep learning, human perception, neuroscience, and visual computing to study how intelligent systems can learn from data and support human understanding.
A central theme of his research is the application of machine learning and data science to extract meaningful insights from complex, real-world data. This approach helps advance fundamental scientific knowledge while also enabling the development of intelligent, application-specific AI solutions.
Research Keywords
Computer vision | Deep learning | Human perception | Neuroscience | Visual computing | Machine learning and data science
Dr. Bruce's Projects
Deep Learning–Based Segmentation for Mapping Backyard Poultry in Canada
This project uses deep learning and high-resolution satellite imagery to identify small, unregistered backyard poultry operations that are often missed by traditional surveillance systems. By improving visibility of these flocks, the research supports better monitoring and prevention of avian influenza outbreaks.