# Sonic Synchronicity: AI/ML-enabled joint sensing and communication using acoustics

**Source**: https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-research/honors-research/2025/chan-sonic-synchronicity.html
**Parent**: https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-research/honors-research/ece.html

Acoustic waves can be used to sense the environment in the way that bats and submarines use echoes from active sonar to localize themselves in an environment.\
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They are also the primary means of communication underwater between vehicles and devices, where Wi-Fi and other radio waves fail to work.\
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However, most of these systems are typically optimized for either sensing or communication as there are inherent tradeoffs between resolution, range, bandwidth, and power consumption that make joint optimization challenging.\
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This project aims to create new AI/ML algorithms that can simultaneously enable high-resolution sensing and robust communication that go beyond the performance of state of the art systems.