Jamil Fayyad
Senior Data Scientist - Kinsol
PhD - University of British Columbia
About Me
I am Jamil Fayyad, an Assistant Professor in the Department of Electrical Engineering at the American University of Sharjah.
My research addresses trustworthy perception: how vision and vision-language systems behave when deployment conditions depart from the data they were trained on. This encompasses generalization under distribution shift, out-of-distribution detection, and uncertainty quantification that remains reliable outside benchmark settings. My current focus is on vision-language models, which integrate perception, reasoning, and decision support within a single architecture and introduce failure modes that are difficult to detect through conventional evaluation.
I completed my PhD in computer vision at the University of British Columbia and held a postdoctoral fellowship at the Advanced Control and Intelligence Systems (ACIS) Lab at the University of Victoria. Prior to joining AUS, I was a Senior Data Scientist at Kinsol, where I developed systems based on vision-language models, large language models, and generative AI. I have also served as an artificial intelligence consultant for engineering firms including TerraSense and Nexera Robotics, contributing to robotic perception and computer vision systems deployed in demanding operational environments.
Research Areas
- Trustworthy Vision–Language Models
- Robust Foundation Models under Distribution Shift
- Continual & Incremental Learning
- Uncertainty-Aware Perception Systems
Education
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PhD in Mechanical Engineering
University of British Columbia -
MSc in Mechatronics Engineering
American University of Sharjah -
BSc in Electrical Engineering
American University of Sharjah