Qinghai Liao

University of Hong Kong, City University of Hong Kong

Papers

Total Citations

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About

Qinghai Liao is a pioneering researcher at the intersection of neuroengineering, biomedical optics, and intelligent systems. His work is defined by two distinct but innovative threads: developing wireless neural interfaces for precise brain modulation and advancing computer vision-driven robotic control. Liao’s most impactful contribution is his 2017 study on "Tetherless near-infrared control of brain activity in behaving animals using fully implantable upconversion microdevices," which has garnered 95 citations. This breakthrough introduced a fully implantable, wireless microdevice that converts near-infrared light into visible light, enabling remote, non-invasive control of neural circuits in freely moving animals—a significant leap over traditional tethered optogenetics. In parallel, Liao has explored intelligent tracking systems, as seen in his 2016 work on "A flexible object tracking system for planary motion." Here, he combined visual tracking with servo control to drive a PTZ camera to cast a laser beam onto a moving target, demonstrating a novel fusion of pattern recognition and robotics. While less cited, this work showcases his versatility in engineering adaptive, real-time systems. Liao’s research holds profound implications for both fundamental neuroscience and next-generation robotic interfaces, marking him as a creative force in applied engineering.