Moayadeldin Hussain, a StFX master’s graduate, and computer science professor Dr. Iker Gondra have earned national recognition for their research in artificial intelligence and computer vision, receiving the Best Paper in Computer Vision Award at the Canadian Conference on Computer and Robot Vision (CRV) 2026 held in Vancouver, BC.
Mr. Hussain's award-winning paper, "CtxPL: Context-based Prototype Learning for Weakly-Supervised Temporal Action Localization," addresses the challenge of identifying and locating actions within untrimmed videos, a problem known as temporal action localization. The researchers say the technology has important applications in areas such as video summarization, intelligent surveillance systems, and other AI-driven video analysis tools.
"The paper addresses the temporal action localization problem, which refers to localizing action categories and temporal boundaries within untrimmed videos," Mr. Hussain explained. "Our work enhances recent AI solutions' understanding of how actions are being performed with respect to the surrounding snippets, what we refer to as context."
His notes his research introduces a new approach that separates action representations from their surrounding context, allowing AI systems to better distinguish between relevant actions and background activity. According to Mr. Hussain, the results demonstrate "better action comprehension and a more robust separation of the action and the background frames."
Mr. Hussain, who is originally from Egypt, said his interest in the field stems from a desire to contribute to the rapid advancement of artificial intelligence.
"Focusing my research on that domain of computer vision felt like the best way to support recent advancements in AI, and I am glad our work at StFX has proven to provide a meaningful impact within the research community."
He reflects on his time at StFX as a significant personal and academic achievement.
"I perceive my journey as an international student who came from Egypt and worked continuously to push the boundaries of AI here at StFX as realizing a long-standing goal and reaching a defining personal milestone.”
During his nearly 20 months as a master's research student, Mr. Hussain notes he gained experience across a range of fields, including computer vision, software development, and embedded systems. His academic success was also recognized at the university's Spring Convocation, where he received the Governor General's Graduate Medal for achieving the highest overall average in a thesis-based graduate program.
Mr. Hussain credits much of his success with the mentorship and support he received during his graduate studies.
"I would like to express my sincere gratitude to my thesis supervisor, Dr. Iker Gondra, for his immense guidance and support throughout our work," he said. "I am also deeply grateful to Dr. Jacob Levman for the privilege to be part of his research programming lab, and to Dr. Man Lin for the opportunity of conducting research with her as well."
The award, they say, highlights both Mr. Hussain's accomplishments and the growing impact of StFX research on artificial intelligence and computer vision on the national stage.
