Dr. Noha Hassan, P.Eng., SMIEEE
AI, Optimization, and Quantum Computing.
I develop machine learning, artificial intelligence (AI), and optimization methods for safety-critical, large-scale wireless and intelligent transportation systems, working with real-world operational data to translate theory into deployable solutions that improve system safety, efficiency, and resilience.
My experience as a grant proposal reviewer has given me a strong understanding of how research programs are evaluated in terms of clarity, feasibility, student training, and long-term impact.
My research program is structured to be competitive for NSERC funding, while providing rich supervision opportunities for STEM graduate students interested in applied AI, optimization, and safety-critical systems.
My research agenda is focused on building a sustainable, externally funded program in applied AI and optimization, with strong opportunities for partnerships with municipal authorities, public-sector stakeholders, local industry, and entrepreneurial services.