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.
[03/2024] Wu-Jung and Valentina hosted 2 Capstone teams in the Master of Science in Data Science program for sonar data processing and automatic bat call detection.
[12/2023] We welcome Dr. Brandyn Lucca to join Echospace as a SEED postdoctoral fellow!
[12/2023] Soham gave a talk at 2023 PyData Global – check out his abstract and the video recording!
[10/2023] Valentina and Wu-Jung gave a talk and a poster presentation in the 2023 North Pacific Marine Science Organization (PICES) meeting in Seattle.
[09/2023] YeonJoon was selected as a UW Data Science Postdoctoral Fellow.
[09/2023] Wu-Jung joined the NOAA NCEI Water Column Sonar Data Archive stakeholder workshop and engaged in Echopype Q&As.
[08/2023] Wu-Jung, Emilio, and Valentina hosted OceanHackWeek 2023 at UW with an international organizer team!
[05/2023] Caesar Tuguinay joined the Echospace group as a Research Assistant. Welcome!
A Python package that enhances the interoperability and scalability in ocean sonar processing.
Matlab code to reproduce all figures in an in-depth tutorial on echo statistics.