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Hydroacoustics
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Machine Learning in Ocean Acoustics


  • Apply machine learning technique to characterizing the ocean environment and locating sound sources
  • Investigate impacts of training data sets and data augmentation on machine learning practices

Poster Presentations

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Unsupervised Signal Classification for Preliminary Labels of Underwater Passive Acoustic Monitoring Using Rényi Entropy

Presented at OCEANS 2026
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Isolating Ship Signatures from Recorded Spectrograms

Presented at OCEANS 2026
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Using Synthetic Data to Design a Deep Learning Approach to Seabed Parameter Estimation

Presented at OCEANS 2026
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