I am interested in developing methods that aid or improve conventional acoustic sensing/imaging techniques. An example of a highly effective acoustic sensing modality developed by nature is echolocation. By studying the processes and strategies exploited by echolocating animals to interpret acoustic information so effectively, we can learn how to build better acoustic systems. I am also interested in applying data-driven methods to acoustics, which are powerful tools that can enable the discovery of many interesting phenomena.
My primary responsibilities within the group include:
PhD in Mechanical Engineering, 2021
University of Michigan, Ann Arbor
BS in Mechanical Engineering, 2015
Korea Advanced Institute of Science and Technology (KAIST), Korea