I am interested in developing methods to enhance conventional acoustic sensing and imaging techniques. Nature provides a prime example of effective acoustic sensing through echolocation. By studying the processes and strategies used by echolocating animals to interpret acoustic information, we can gain insights into building more advanced acoustic systems. Additionally, I am interested in applying data-driven methods to acoustics, as these powerful tools can facilitate 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