Bissan Ghaddar

Bissan Ghaddar is an Adjunct Associate Professor affiliated with Western University's Ivey Business School. Her research focuses on optimization techniques applied to energy systems, transportation networks, and artificial intelligence. She explores challenges in robust optimization, polynomial programming, and edge computing resource management. Her work bridges theoretical advancements with practical applications in smart cities and sustainability.

Research interests include operations research, network design, and machine learning-driven decision-making. Key areas of contribution include autonomous vehicle routing, community energy storage optimization, and latency-aware edge computing frameworks. Her interdisciplinary approach integrates mathematical rigor with real-world systems engineering.

Recent publications emphasize robust optimization models for electric vehicle routing and power systems, as well as AI-driven algorithm selection in branch-and-bound methods. She has pioneered frameworks for crowd-sourced delivery systems and smart infrastructure standardization in emerging economies.

While no specific grants or awards are listed in the provided materials, her active research portfolio indicates significant contributions to both academic and applied domains. Collaborative projects involve cross-disciplinary teams addressing challenges at the intersection of mathematics, engineering, and business strategy.