Development of optimisation frameworks for secure wireless communication systems under imperfect and uncertain channel state information (CSI). This work focuses on scalable and tractable solutions for non-convex optimisation problems in modern communication networks, with applications to IRS-assisted systems and physical layer security.
Investigation of learning-based approaches for communication systems, including federated learning for anomaly detection and data-efficient transmission in distributed networks. This work investigates the integration of machine learning with communication system design.
Led and contributed to the design and deployment of intelligent transport systems within large-scale infrastructure projects at GHD. This includes the application of optimisation, data-driven modelling, and system integration for real-world transport networks.