Qijia Shao

Dartmouth College, Dartmouth Hospital, Columbia University

Papers

Total Citations

H-Index

About

Qijia Shao is a leading researcher at the intersection of underwater robotics and wireless communication, with a focus on bridging the critical air-water boundary. His work addresses the fundamental challenge of enabling high-bandwidth communication and sensing across different physical media, a key bottleneck for underwater exploration and monitoring. Shao's most-cited paper, "Air-Water Communication and Sensing with Light" (2022, 13 citations), pioneers the use of light-based methods to achieve this cross-medium connectivity, offering a transformative alternative to traditional acoustic or radio-frequency approaches. In "Sunflower" (2022, 9 citations), he tackles the problem of underwater robot localization, proposing a scalable infrastructure-free method that eliminates the need for ad-hoc surface relays, significantly reducing logistical overhead. His review, "Communication for Underwater Robots: Recent Trends" (2023, 8 citations), further cements his role as a thought leader in the field. With a growing citation record and a clear trajectory toward practical, deployable solutions, Shao's contributions are shaping the future of autonomous underwater systems for environmental monitoring, search-and-rescue, and oceanographic research.