machine learning

Machine learning in fisheries acoustics

Accelerating information extraction from fisheries acoustic data through a cloud-based machine learning workflow.

Pattern discovery from long-term echosounder time series

Developing algorithms to discover prominent spatio-temporal patterns of animal movement and grouping behavior observed in sonar echoes using data from the Ocean Observatories Initiative (OOI).

Investigation of duty cycles in passive acoustic bat monitoring

Understanding echoes

Keynote Lecture at the 2022 Denver Acoustical Society of America meeting.

Discerning behavioral habits of echolocating bats using acoustical and computational methods

Summarizing low-dimensional patterns in long-term echosounder time series from the U.S. Ocean Observatories Initiative network

Building a toolbox for studying marine ecology using large ocean sonar datasets