Focus Area:
Earth System Science
Sustainability & Global Environmental Change
Country of Origin: Iran
Degree Program: PhD
Entered Program: Fall 2022
Expected Graduation: Fall 2026
Dissertation Topic: TBD
Research Statement: I am a research enthusiast who loves to explore and understand the governing rules of the environment. I am particularly interested to model the natural behavior of the environment using machine learning methods. Namely, my research interest are Machine learning applications in extreme weather, hydroclimatology, hydroinformatics, and climate change impact on extreme weather. My favorite programming languages are MATLAB and Python and I am looking forward to learning other programming languages. My favorite meteorological model is weather research forecast model (WRF) and I am passionate about finding scientific connections between numerical and machine learning model.
Adviser: Dr. David Keellings
Educational Background
- M.S. in Civil and Environmental Engineering, Qom University of Technology, 2018
- B.S. in Civil and Environmental Engineering, Islamic Azad University, Khomeini Shahr, 2016