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Mashoukur Rahaman

He/Him/His

m.rahaman@ufl.edu

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Focus Area: Geospatial Analysis and Techniques

Country of Origin: Bangladesh

Degree Program: Master of Science

Entered Program: Spring 2022

Expected Graduation: Fall 2023

Dissertation Topic: TBD

Research Statement: I have a strong interest in using geospatial data science, remote sensing, and machine learning to address important questions concerning agriculture, environmental risks, and urban dynamics. Frequently, I use programming languages and GIS software to support geospatial and data science tasks, including the analysis, modeling, and visualization of various types of data.

Applications I have studied include vegetation change detection and prediction using machine learning, Land use changes regarding tornadoes or cyclones, air pollution and landslide vulnerability zone detection using different machine learning algorithms. Currently, I’m working on deep learning algorithms that can be used to predict crop yield changes.

Adviser: Dr. Jane Southworth

Educational Background

  • B.S. in Urban and regional Planning, Khulna University of Engineering &Technology, 2020

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