__My research has focused on understanding the hydrometeorological processes and water resources based on scientific and engineering principles and developing an integrated science-based approach to contribute to the prosperity of human society and ecology. My primary research interest is integrating the science of hydroclimatology and assessing the contemporary and future water systems using physical and statistical modeling techniques, including modern artificial intelligence methods. In this context, I have been focusing on exploring the interdependency between hydrological factors at natural basins, developing systematic metrics to quantify the hydrological impact of anthropogenic activities, developing machine learning-based algorithms to explain and predict the manifestation of hydrometeorological extreme events. My research interests are aligned towards establishing sustainable water resources planning and management by advancing our knowledge of hydroclimatology and data science for water resources engineering.
__ I am currently a Postdoctoral Research Scientist in the Department of Earth and Environmental Engineering at Columbia University in the City of New York working under the mentorship of Professor Upmanu Lall. My main research project is to develop nonlinear and machine learning methods for the season to decade long forecasting of climate over the United States.
Hydrological Systems Analysis, Water Risk Management and Sustainability, Hydrometeorological Extremes and Adaptation, Water Balance Modeling, Machine Learning and AI applications for Water and Climate Systems
- Ph.D., Civil Engineering, CUNY City College of New York, NY, 2021 (Advisor: Professor Naresh Devineni).
- M.S., Civil and Environmental Engineering, Hanyang University, Seoul, South Korea, 2016.
- B.E., Civil Engineering, Konkuk University, Seoul, South Korea, 2014.