Acoustical Oceanography

Sound provides the only feasible means of probing the ocean, and acoustic recordings are the most common starting point for detecting, localizing, and identifying a remote sound source. In this project, we explore several techniques that combine the fundamental physics of underwater sound propagation with array signal processing and machine learning to study how sound propagates in the ocean with an emphasis on the applications such as marine animal bioacoustics, underwater imaging, and sonar.

Student Outcomes

Students will learn how to read and visualize acoustic recordings, analyze and interpret results, conduct literature reviews, and become familiar with writing research articles.

Student Qualifications

This research is open to both undergraduate and graduate students. This research is open to students in CSS, EE, ME, Math, and Physics. Students need to be familiar with either MATLAB or Python.

Student Responsibilities

Conduct relevant literature reviews. Analyze, interpret, and visualize data. Write codes in MATLAB or Python. Actively participate in group meetings. Write project reports in Word and/or PowerPoint.

Time Commitment

Minimum of 5 hours/week for a minimum of two consecutive quarters of work.