Jing Liu

Dr. Jing Liu serves as a Research Fellow at the School of Systems & Computing, The University of New South Wales (UNSW) Canberra, located at the Australian Defence Force Academy campus. Her research program focuses on developing advanced optimization algorithms and applying them to complex robotic systems, with particular emphasis on swarm robotics and unmanned vehicle coordination.

Dr. Liu's work centers on Swarm Intelligence and Evolutionary Computation, where she develops and enhances nature-inspired algorithms including Ant Colony Optimization, Particle Swarm Optimization, and Bacterial Foraging Optimization. Her research extends these computational techniques to solve challenging problems in Robotics, particularly for Unmanned Aerial Vehicles and multi-robot systems, with a specialized focus on Mission Planning and control in complex environments. She has made significant contributions to robotic swarm shepherding, UAV path planning in obstacle-rich scenarios, and underwater robot navigation.

Analysis of Dr. Liu's publication trends reveals a strategic progression from theoretical algorithm development toward increasingly complex real-world applications. Her recent work demonstrates a sophisticated integration of multiple optimization techniques to overcome limitations of single-method approaches, particularly for problems involving dynamic environments, scalability challenges, and complex constraints. The consistent high-impact output across journals like IEEE Transactions on Engineering Management and Swarm and Evolutionary Computation indicates her growing influence in the computational intelligence community.

Dr. Liu maintains active collaborations with researchers including Sarker R, Essam D, Elsayed S, Anavatti S, Garratt M, and Abbass HA, suggesting participation in multidisciplinary research teams focused on autonomous systems. Her work at UNSW Canberra, situated at the Australian Defence Force Academy, likely has defense-related applications while also contributing to civilian applications in search and rescue, environmental monitoring, and coordinated autonomous systems.