Dr. Qusay Mahmoud

Assistant Dean, Engineering Outreach
Professor, Faculty of Engineering and Applied Science

Dr. Qusay H. Mahmoud investigates responsible, human-centred applications of artificial intelligence (AI), especially how generative AI and large language models are transforming software engineering practice and education. His research focuses on how AI tools can be integrated in ways that enhance innovation and productivity, while preserving the reliability, security and professional accountability expected of engineering systems.

He explores the intersection of AI with several key domains:

Software engineering: How AI can assist software developers with some of their more ‘routine’ tasks (e.g. initial code generation) while elevating them to higher-order roles where they define the problem, design the solution, and ensure the generated code is dependable, maintainable and secure.
Cybersecurity and resiliency: Using AI and machine/deep learning to strengthen the security and dependability of modern computing systems by detecting vulnerabilities, improving defensive capabilities, and enhancing the resilience of engineered systems.
Engineering education and outreach: Developing experiential learning models and outreach initiatives that prepare students, educators and professionals with the competencies needed to work with AI effectively and responsibly.

Dr. Mahmoud co-led the Thriving in the Age of Artificial Intelligence project, a free online course for high school students and educators that provides an introduction to AI, covering its foundational concepts, generative AI applications, societal impacts and how to succeed in the age of AI.

He also contributes to public understanding of AI and its impact through his blog, DrQwrites.com, where he shares insights how AI is transforming engineering, education, and the way we build and interact with technology.

Learn more: