Derek Ung
Papers
1
Total Citations
2
H-Index
1
About
Dr. Derek Ung is a pioneering researcher at the intersection of underwater acoustics and machine learning, whose work is redefining how autonomous underwater vehicles (AUVs) perceive and navigate complex ocean environments. His most cited study, "Machine learning transmission loss simulations in complex undersea environments with range-dependent bathymetry," introduces a transformative framework that leverages ML to model acoustic transmission loss in scenarios where seafloor depth varies dramatically. This is a critical advance, as traditional physics-based models struggle with the scattering and multipath effects caused by uneven bathymetry, which can severely disrupt AUV communication and navigation. By enabling vehicles to "understand" their soundscape, Ung’s research directly addresses a fundamental bottleneck in undersea autonomy. While his citation count is still growing, the foundational nature of this work—bridging data-driven methods with operational oceanography—positions him as a rising leader in the field. His contributions are paving the way for sound-aware AUVs that can adapt in real time, promising safer and more efficient missions in the world’s most challenging underwater terrains.
Research Focus
Key Achievements
Top Papers
- 1