Wassim El Ahmar

Wassim El Ahmar is a Part-Time Professor at the University of Ottawa, affiliated with the Faculty of Engineering and the School of Electrical Engineering and Computer Science. His research focuses on advancing computer vision and multimodal large language models (LLMs) to create robust perception systems that integrate thermal, RGB, and depth imagery for applications in industrial quality inspection, autonomous navigation, and environmental monitoring.

Education:

• Doctorate of Philosophy in Electrical and Computer Engineering (2023)
• Master of Applied Science in Electrical and Computer Engineering (2019)
• Bachelor of Engineering in Computer Engineering (2017)

El Ahmar’s work emphasizes scalable frameworks for computer vision, bridging theoretical innovation with practical applications. He has led projects optimizing machine learning for edge computing and enhancing autonomous systems. As an educator, he teaches SEG3101 - Software Requirements Analysis and SEG4300 - Modern Software Engineering Practices, focusing on curriculum development aligned with industry trends.

His research interests include:

• Robust object detection and tracking
• Thermal-RGB-Depth data fusion
• Contextual interpretation via multimodal LLMs
• Real-time analysis for dynamic environments
• Applications in autonomous driving and industrial inspection