Mohammad Pirani

Mohammad Pirani is an Adjunct Assistant Professor at the University of Ottawa, specializing in control systems, cyber-physical security, and autonomous vehicle technologies. His research focuses on resilient distributed algorithms, game-theoretic decision-making, and fault detection in complex systems. He has contributed to advancements in vehicle platooning, real-time state estimation, and security-aware control frameworks. Pirani's work bridges theoretical foundations (e.g., graph theory, distributed optimization) with practical applications in automotive and power systems.

His research interests include distributed control, fault-tolerant systems, and the integration of machine learning with traditional control methods. Notable areas include cybersecurity for cyber-physical systems, cooperative estimation in vehicular networks, and decision-making under uncertainty. His publications emphasize interdisciplinary approaches to challenges in autonomous systems and networked dynamical systems.

Pirani has authored numerous articles on topics such as resilient estimation frameworks, game-theoretic motion planning, and adaptive control strategies. He has also explored security vulnerabilities in vehicle platooning and power grids, proposing novel defense mechanisms. His work often combines simulation and theoretical analysis to address real-world system robustness and safety.