SSU CS research team places first at the 2021 CSU Student Research Competition

June 14, 2021
screenshot of students and professor on Zoom

Vincent Valenzuela, Alex Dewey, Jonathan Calderon Chavez (left-to-right, top); Dr. Gill, Dr. Clark, Collin Quinn (left-to-right, middle); Antone Silveria (bottom)

Originally posted on CS News & Events on May 6, 2021. 

CS majors Alex Dewey, Jonathan Calderon Chavez, Vincent Valenzuela and Antone Silveria presented their work "Using Machine Learning to Measure Biodiversity from Sound Recordings" at the virtual 35th Annual CSU Systemwide Student Research Competition on April 30, 2021. They explain:

Our group explores the utility of machine learning in combination with other techniques to best categorize sound recordings. The four main categories are anthrophony, geophony, biophony and other. The purpose of measuring biodiversity is to provide insight into changes in vegetation communities, animal communities, ecosystem health and human impact.

This collaborative research involved Colin Quinn (Northern Arizona Univ.), Dr. Gill (SSU), Dr. Matthew Clark (SSU) and was supported by the Koret Foundation.

The CSU Student Research Competition recognizes outstanding student accomplishments from throughout the twenty-three campuses of the CSU, through a selective process. The student team was selected to represent SSU, and further honored by being recognized by placing first within their category. Their award-winning research is summarized in the video below.

Using Machine Learning to Measure Biodiversity from Sound Recordings