Ken Eng is a research hydrologist in the USGS Water Resources Mission Area focusing on changes to streamflow, low flows/droughts, and environmental flows using machine learning approaches. He is based in Reston, VA.
Ken's recent work has focused on understanding and prediction of streamflow changes to unmonitored locations due to land and water management practices, such as dams, land cover, irrigation, and interbasin transfers, using machine learning approaches.
Other areas of research include work on developing regional frameworks relating environmental flow changes to aquatic biota impairment. In addition, Ken has examined the integration of subsurface/baseflow models with machine learning methods to improve predictions of low flow/drought flow characteristics.
2001 to Present: Research Hydrologist, U.S. Geological Survey, Water Mission Area
Education and Certifications
Ph.D. Civil and Environmental Engineering, Cornell University, 2001
M.S. Civil and Environmental Engineering, Cornell University, 1998
B.S. Civil and Environmental Engineering, Syracuse University, 1996