Amanda Whitbrook

Amanda Whitbrook is a Lecturer in Computing at the Department of Electronics, Computing and Mathematics. Her research focuses on distributed systems, multi-agent coordination, and the application of artificial intelligence techniques to robotics and engineering challenges. Key areas include task allocation algorithms, real-time navigation frameworks, and hybrid modeling approaches combining neural networks with computational aeroacoustics.

Her work emphasizes robustness in time-critical systems, with contributions to both theoretical foundations and practical implementations. Notable projects include cloud-based pathfinding for games, resilient scheduling algorithms for multi-agent systems, and the integration of immunological principles into robotic control architectures.

Whitbrook's publications span journals like IEEE Transactions on Cybernetics and Applied Intelligence, demonstrating interdisciplinary impacts across robotics, automation science, and computational biology. She has collaborated with institutions on frameworks addressing challenges in aerospace design and healthcare simulation.