Papers
6
Total Citations
101
H-Index
4
About
Dr Shufan Yang is a pioneering researcher at the intersection of artificial intelligence, robotics, and embedded systems, with a particular focus on transforming healthcare and autonomous multi-agent technologies. Her most impactful work, “The use of artificial intelligence and robotics in regional anaesthesia” (2021, 60 citations), critically examines how the fourth industrial revolution—driven by AI and data—can reshape clinical practice, aligning with the UK National Health Service’s Topol Report vision for digital medicine. Yang has also advanced multi-agent systems through her innovative “Reward-Reinforced Generative Adversarial Networks” (2021, 15 citations), addressing the persistent challenge of achieving optimal global goals in collaborative robotics for telecommunications and aerospace. Her earlier foundational research on passive dynamic walking gaits for bipedal robots (2008, 14 citations) remains a key reference in legged locomotion. Beyond these contributions, Yang has developed novel hardware-software co-design platforms for sensor data fusion using drift-diffusion models and implemented FastSLAM2.0 on low-power embedded architectures, pushing the boundaries of real-time autonomous navigation. Her work on adaptive inhibitory control for embedded systems draws inspiration from cognitive neuroscience, demonstrating a unique ability to bridge biological principles with engineering solutions. With a career spanning AI, robotics, and embedded systems, Yang’s research continues to influence both clinical anaesthesia and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1The use of artificial intelligence and robotics in regional anaesthesia60 citations · 2021
- 2Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems15 citations · 2021
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