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Combining Indigenous knowledge and deep learning to support safer on-ice travel
Faculty of engineering
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Zahra Gharaee
As a seasoned senior research scientist, I bring expertise in computer vision, machine learning, and artificial intelligence to the forefront of my work. My research endeavours centre around pioneering subjects, including advanced image processing and video analysis, representation learning, action recognition, autonomous systems and graph convolutional neural networks. GoogleScholar Linkedin Orcid Github
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Diet-monitoring AI tracks your each and every spoonful
NewScientist
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Can AI help save beluga whales?
Faculty of Engineering
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Alumnus Seminar
VIP Alumnus: Shahid Haider May 3rd, 2024, 11:30am EC4 2101A Altis Labs is transforming clinical trials by developing AI-driven surrogate endpoints that help researchers predict drug efficacy more accurately so that cancer patients can access the most effective novel treatments sooner. Our approach utilizes advanced feature engineering, survival modeling, and deep learning techniques, leveraging our…
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Robust 3D Human Modeling for Baseball Broadcast Analysis
April 26th, 2024 – 11:30am EC4-2101A Presenter: Jerrin Bright In this seminar, I will present my work on PitcherNet, a system that analyze baseball pitchers by explicitly modelling the pitcher directly from live broadcasts, offering real-time insights into a pitcher’s performance without the need for special equipment or pre-recorded data. By analyzing broadcast video, PitcherNet…
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University of Waterloo using AI to analyze hockey decisions on the ice
CTV NEWS KITCHENER
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Profs use AI to track hockey games better
Media Relations
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Ken M. Nsiempba
Ken is a PhD student, he teaches computers how to interpret ice hockey games events by improving player tracking, action recognition and play detection.
