Atmospheric Science | AI | Weather Impacts
I am an Assistant Research Professor in Atmospheric Sciences at the University of North Dakota. My work focuses on fog detection, visibility estimation, cloud and aerosol processes, AI-driven forecasting, and operational weather applications for aviation and UAS environments.
Highlights
Dr. Marwa Majdi is an Assistant Research Professor in Atmospheric Sciences at the University of North Dakota. Her research combines atmospheric observations, machine learning, and numerical modeling to improve understanding and prediction of fog, visibility, cloud ceiling, and other weather processes relevant to aviation, uncrewed aircraft systems, and environmental decision-making. Her broader scientific background includes aerosol chemistry, wildfire impacts on air quality, and cloud microphysics. She is also engaged in student-centered, data-rich research training that connects scientific investigation with practical data skills and research communication.
Developing AI-enabled methods to detect fog and estimate visibility using camera imagery, meteorological observations, and forecast-model information.
Building machine learning frameworks to improve short-term prediction of weather hazards, cloud ceiling, visibility reduction, and convective environments.
Studying cloud processes, aerosols, low-visibility environments, and operational weather applications relevant to aviation, UAS, and environmental decision-making.
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