We are a diverse group of researchers whose work centers around extracting knowledge from large volumes of ocean acoustic data, which contain rich information about animals ranging from zooplankton, fish, to marine mammals. Integrating physics-based models and data-driven methods, our current work focuses on mining water column sonar data and spans a broad spectrum from developing computational methods, building open source software and cloud applications, to joint analysis of acoustic observations and ocean environmental variables. A parallel but closely related focus of our research involves using echolocating bats and toothed whales as biological model systemss for adaptive and distributed ocean sensing.
[07/01/2022] We welcome Dr. YeonJoon Cheong to join Echospace as a postdoc scholar!
[05/27/2022] We have released a new, major version of echopype, 0.6.0. There are significant breaking changes, but also significant improvements in convention adherence, consistency across sensors, and dataset documentation.
[05/23/2022] Wu-Jung will be giving the keynote lecture on “Understanding Echoes” in the ASA Denver meeting.
[05/20/2022] Aditya gave a talk on using machine learning to monitor bats in UW’s 25th Annual Undergraduate Research Symposium.
[04/27/2022] Wu-Jung and Emilio gave two talks on echopype updates and roadmap in the 2022 WGFAST meeting and the 2022 NOAA NCEI Water Column Sonar Data Archive workshop.
[04/25/2022] Valentina gave a talk on analyzing OOI echosounder data using matrix decomposition in the 2022 WGFAST meeting.
[11/30/2021] New paper “Beluga whale (Delphinapterus leucas) acoustic foraging behavior and applications for long term monitoring” was published in PLOS One!