Qingying Zhao
Papers
5
Total Citations
40
H-Index
4
About
Qingying Zhao is a pioneering researcher at the intersection of swarm intelligence, multi-robot systems, and biomedical nanorobotics. Her work focuses on developing bio-inspired optimization algorithms for complex coordination problems, particularly in multi-robot path planning and nanomedicine. Her most influential contribution is a novel multi-objective artificial bee colony algorithm for multi-robot path planning (2015, 20 citations), which introduced an optimized foraging mechanism and a new crowding distance calculation method to address the multi-objective nature of robot navigation. She also proposed a Quorum Sensing algorithm (2015, 7 citations) for controlling nanorobot populations and drug concentrations in cancer treatment, and a bacteria foraging optimization-based swarming algorithm (2014, 5 citations) for eradicating cancer cells in blood vessels. Her recent work extends into directional noise suppression for intelligent robots and hearing aids (2024, 2 citations). Zhao’s research uniquely bridges theoretical swarm intelligence with practical applications in medical nanorobotics and autonomous systems, demonstrating how nature-inspired algorithms can solve real-world coordination challenges in both microscopic and macroscopic robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5