Yu Shiu

Research Associate

Expertise

Machine Learning • Signal Processing • Python Data Analysis Programming • Cloud Computing • Statistics

My job is to design and apply machine learning, including deep neural network algorithms, to detect and classify sound events in the ever-increasing recorded sound under the water and in the rainforest. My goal is to comprehend the animals and the environment through sound and other types of signals, such as photos of animals.

Education

Ph.D., Electrical Engineering, University of Southern California

Recent Publications

Root-Gutteridge, H., D. A. Cusano, Y. Shiu, D. P. Nowacek, S. M. Van Parijs, and S. E. Parks (2018). A lifetime of changing calls: North Atlantic right whales, Eubalaena glacialis, refine call production as they age. Animal Behaviour 137:21–34.
Wrege, P. H., E. D. Rowland, S. Keen, and Y. Shiu (2017). Acoustic monitoring for conservation in tropical forests: examples from forest elephants. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.12730
Keen, S. C., Y. Shiu, P. H. Wrege, and E. D. Rowland (2017). Automated detection of low-frequency rumbles of forest elephants: A critical tool for their conservation. The Journal of the Acoustical Society of America 141:2715–2726.
Guerra, M., P. J. Dugan, D. W. Ponirakis, M. Popescu, Y. Shiu, A. N. Rice, and C. W. Clark (2016). High-Resolution Analysis of Seismic Air Gun Impulses and Their Reverberant Field as Contributors to an Acoustic Environment. In The Effects of Noise on Aquatic Life II (N. A. Popper and A. Hawkins, Editors). Springer New York, New York, NY, pp. 371–379.

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