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About

Guoliang Xing is a pioneering researcher at the intersection of robotic sensor networks, cyber-physical systems, and environmental monitoring. His work is perhaps best known for its innovative application of mobile sensing technologies to pressing aquatic environmental challenges, including chemical pollution, harmful algal blooms, and debris accumulation in waterways — threats intensified by climate change and human activity. Xing's most influential contributions center on the design and deployment of smartphone-integrated robotic systems for aquatic surveillance. His development of platforms such as SOAR and Samba — which cleverly combine Android smartphones with robotic fish — demonstrates a resourceful approach to building cost-effective, energy-efficient monitoring systems. His 2013 paper on profiling aquatic diffusion processes using robotic sensor networks (31 citations) and his accuracy-aware extension of that work (26 citations) established foundational methods for spatiotemporal field reconstruction in dynamic water environments. Beyond aquatics, Xing has contributed to wireless sensor network optimization, notably in maximizing data-gathering capacity through mobile relays. His ORBIT platform further broadens his impact by enabling data-intensive smartphone-based sensing applications. Collectively, his body of work — accumulating over 165 citations across these key papers — reflects a sustained commitment to translating embedded systems research into real-world environmental and public health solutions.