I am interested in research on artificial intelligence and big data analysis, with a strong focus on Machine Learning techniques such as SVM, Ensemble Modeling, Neural Networks, and Bayesian Network Modeling. I am particularly skilled in applying Bayesian modeling to large-scale climate analysis, yielding significant results from extensive datasets. My research portfolio also includes work in various fields such as Statistical and Stochastic Hydrology, Climate Change Modeling, Down-scaling Modeling, Time Series Modeling, Risk Analysis, and both Parametric and Non-parametric Regional Frequency Analysis. I have conducted Hydrologic Modeling, including Rainfall-Runoff and River Modeling, and have experience with GIS and Satellite Data Manipulation. I am proficient in numerous Hydrology and Hydraulics software programs, including HEC-HMS, HEC-RAS, SAC-SMA (NWS-PC), SMADA, TANK Model, Geo-HMS, Geo-RAS, HEC-1, HEC-2, HEC-5, SWMM, ILLUDAS, SMS, MIKE-SWMM, and RRL. My expertise with these tools enables me to model, analyze, and manage water resources and hydrologic systems effectively, ensuring precise and reliable outcomes in various projects.