Sajjad Azami

Multi-author Scientific Reports paper applying image segmentation and object detection on Google Street View images to extract urban features and predict walk-to-work rates across seven Canadian cities.

Master's thesis addressing fairness in sequential prediction and supervised learning, authored as part of the University of Victoria graduate program.

ArXiv paper studying a variant of online learning where experts can 'die' (become unavailable), providing algorithms and matching upper/lower bounds on ranking regret.

Computer vision research paper (authors include Sajjad Azami) related to landmark detection and robot detection in RoboCup contexts and related CV tasks.