Mark Goldwater
- Mark earned his B.S. in Electrical and Computer Engineering from Franklin W. Olin College of Engineering and his S.M. in Electrical Engineering and Computer Science form the MIT-WHOI Joint Program. He has enjoyed working on applications in communications systems, signal processing, remote sensing, and machine learning. His current research is focused on applying machine learning to augment the abilities of acoustic sensors applied to problems in source detection and localization.
- Selected publication: M. Goldwater, D. Zitterbart, D. Wright, and J. Bonnel. Machine-learning-based simultaneous detection and ranging of impulsive baleen whale vocalizations using a single hydrophone. The Journal of the Acoustical Society of America, 153(2):1094–1107, 2023