Name: Dr Yue Xie
Academic Division: Civil Engineering
Research Group: Bio-Inspired Robotics Lab
Fellowship period: 15 June 2023 – 14 June 2026
Email: yx388@cam.ac.uk
Research Interests:
Dr.Yue Xie’s research interests lie broadly at the intersection of artificial intelligence, bio-inspired methodology and real-world applications. Her research departs form the bio-inspired methodology and AI, seeking to blend the intricate patterns observed in natural systems with AI techniques. This unique combination aims to address complex challenges in urban traffic management, automatic soft robots design. By integrating principles from biological systems into artificial intelligence, Dr. Xie's research not only contributes to the theoretical understanding of AI but also has significant practical implications for the development of efficient, sustainable, and intelligent traffic control solutions.
Strategic Themes
Innovation in AI applications: By utilizing AI for real-time decision-making, to revolutionise how urban infrastructures and robotic systems operate, making them more efficient, responsive, and adaptive to changing environments.
Bio-inspired methodologies: Solving complex engineering problems by bio-inspired, leading to more robust, adaptable, and efficient AI systems.
Biography
Dr. Yue Xie is a Marie Curie Future Roads Fellow at the University of Cambridge, specializing in AI and multi-agent systems for future road automation. She earned her Ph.D. in computer science from the University of Adelaide in 2021 and has experience as a Postdoctoral Fellow at CSIRO and the University of Adelaide. Her research spans AI, bio-inspired optimization, mining engineering, public health, and soft robotics. With over 15 peer-reviewed papers, she actively contributes as a reviewer and guest editor for international journals. Her current focus is on integrating AI and information theory for vehicle-road coordination.