Echospace

Echospace

Applied Physics Lab & eScience Institute

University of Washington

Ocean Acoustics + Data Science

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.

Research areas:

  • Acoustical oceanography
  • Machine learning in ocean acoustics
  • Fisheries acoustics
  • Animal echolocation / bioacoustics
  • Data systems and workflows
  • Data science in oceanography

What we value

Code of Conduct & What we value

We review and discuss the code of conduct and what we value as a group regularly, as reminder and inspiration for ourselves.

Recent news!

All news»

[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!

Meet the Team

Principal Investigators

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Wu-Jung Lee

Senior Oceanographer

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Valentina Staneva

Senior Data Scientist

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Emilio Mayorga

Senior Oceanographer

Researchers

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Don Setiawan

Research Software Engineer

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Aditya Krishna

Undergraduate Research Assistant

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Caesar Tuguinay

Research Assistant

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Liuyixin Shao

Undergraduate Research Assistant

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Soham Kishor Butala

Research Software Engineer Intern

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Varun Krishnakumar

Undergraduate Research Assistant

Alumni

Brandon Reyes

Now: HPC specialist at CU Boulder

Derya Gumustel

Now: Instructor Associate at General Assembly

Kavin Nguyen

Now: Operations Automation Engineer, SpaceX

Josie Sachen

Recent Posts

A Summer of Refactoring Echoshader!

Echospace hosted a contributor - Dingrui Lei, to refactor echoshader - a package for interactive visualization of echosounder data.

Hello from Dingrui Lei, GSoC contributor of Echoshader!

Echospace hosted a Google Summer of Code (GSoC) contributor to jump start echoshader, a new package for interactive visualization of echosounder data.

Projects

Machine learning in fisheries acoustics

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

Scalable, cloud-native processing of water column sonar data

Accelerating ocean exploration through cloud-native processing of active ocean sonar data.

EchoPro workflow modernization

Modernizing the EchoPro workflow for integrating acoustic and biological survey samples for biomass estimation.

HakeIGP: Hake biological data integration

Systematic integration of biological data for Pacific hake from scientific surveys and commercial fisheries.

ADCP-equipped underwater glider as a distributed biological sensing tool

Enabling distributed, persistent observation of mid-trophic zooplankton and fish using autonomous underwater gliders equipped with acoustic Doppler current profilers (ADCPs).

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).

Modeling target search by echolocating toothed whales

Modeling the echolocation-based target search behavior of toothed whales as an information-seeking process.

Recent & Upcoming Talks

Investigation of duty cycles in passive acoustic bat monitoring

Investigation of duty cycles in passive acoustic bat monitoring

Understanding echoes

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

Updates from Echopype developers: changes and roadmap

This presentation was also given at the NOAA National Centers for Environmental Information (NCEI) Water Column Sonar Data Archive 2022 Workshop on March 29, 2022.

Software

Echopype

A Python package that enhances the interoperability and scalability in ocean sonar processing.

Echo Statistics

Matlab code to reproduce all figures in an in-depth tutorial on echo statistics.

Recent Publications

Beluga whale (Delphinapterus leucas) acoustic foraging behavior and applications for long term monitoring

Compact representation of temporal processes in echosounder time series via matrix decomposition

We developd a data-driven methodology based on matrix decomposition to build compact representation of long-term echosounder time series using intrinsic features in the data.
Compact representation of temporal processes in echosounder time series via matrix decomposition

Echo statistics associated with discrete scatterers: A tutorial on physics-based methods

From basic foundational concepts to advanced topics in modeling the statistics of echoes from discrete scatterers, inspired by sonar observation of marine organisms.
Echo statistics associated with discrete scatterers: A tutorial on physics-based methods

Macroscopic observations of diel fish movements around a shallow water artificial reef using a mid-frequency horizontal-looking sonar

Mid-frequency sonar provides a first-of-the-kind macroscopic observation of the nightly foraging runs of fish inhabiting a shallow-water artificial reef in northern Gulf of Mexico.
Macroscopic observations of diel fish movements around a shallow water artificial reef using a mid-frequency horizontal-looking sonar

Contact

  • echospace@uw.edu
  • 1013 NE 40th St, Seattle, WA 98105
  • Henderson Hall, University of Washington