Aijun Song

University of Delaware, University of Alabama

Papers

Total Citations

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About

Aijun Song is a leading researcher in underwater acoustic communications and networking, with a focus on enabling robust, mobile, and autonomous operations in aquatic environments. His work bridges the gap between theoretical channel modeling and practical, field-deployable systems. A key contribution is the development of cooperative mapping techniques for underwater acoustic channels using robot swarms, a novel approach that allows for the spatial characterization of communication parameters in dynamic, mixed static-and-mobile networks. This foundational work, published in 2014, has garnered 16 citations and laid the groundwork for more adaptive underwater systems. More recently, Dr. Song has been a driving force behind the creation of open-access, community-shared infrastructure. He is the principal architect of the µNet (Mu-Net) ecosystem, an open-source, open-architecture testbed designed to lower the barrier to entry for underwater research. By providing shared robotic platforms and software, his work directly addresses the critical lack of accessible facilities, enabling smaller research groups to conduct high-impact experiments. With over 11 citations across his most notable works, Dr. Song’s contributions are not only advancing the science of underwater networking but also democratizing access to the tools needed to explore it.