Faculty profile
Mohamed Shehata
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Research
Latest funding
- $132,000
N3uralDrive: Unleashing the Power of AI for Autonomous Driving Scenario Detection and Classification
NSERC · 2024 · Principal investigator
- $99,000
Advancing Object Detection and Tracking Frontiers in Intelligent Vision-Based Applications
NSERC · 2022 · Principal investigator
- $400,000
Automated medical diagnostic image quality control using AI-based techniques
NSERC · 2021 · Co-investigator
N3uralDrive: Unleashing the Power of AI for Autonomous Driving Scenario Detection and Classification
Principal investigators: Shehata, Mohamed M
Keywords: ai for autonomous vehicles; digital twins; maneuver detection/classification; object detection and tracking; scenario detection/classification
Advancing Object Detection and Tracking Frontiers in Intelligent Vision-Based Applications
Principal investigators: Shehata, Mohamed
Keywords: image and video processing; computer vision; deep learning models; imaging systems; biomedical image analysis; object detection and tracking; robust representation learning; loss function optimization
Automated medical diagnostic image quality control using AI-based techniques
Principal investigators: Feldman, Rebecca E
Vision algorithms for Emerging Applications
Principal investigators: Shehata, Mohamed
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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