University of North Dakota

Advancing Atmospheric Science through Observations, Modeling, and Artificial Intelligence

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.

Portrait of Dr. Marwa Majdi

Highlights

  • Research integrating atmospheric observations, machine learning, and numerical modeling.
  • Focus on fog detection, visibility estimation, cloud ceiling analysis, and weather applications for aviation and UAS operations.
  • Experience in aerosol processes, cloud microphysics, and data-driven environmental analysis.
  • Active mentoring of undergraduate and graduate students through research, data workflows, and scientific communication.

About

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.

Research Themes

Fog Detection & Visibility Estimation

Developing AI-enabled methods to detect fog and estimate visibility using camera imagery, meteorological observations, and forecast-model information.

AI for Weather Forecasting

Building machine learning frameworks to improve short-term prediction of weather hazards, cloud ceiling, visibility reduction, and convective environments.

Cloud Microphysics, Aerosols & Applied Weather

Studying cloud processes, aerosols, low-visibility environments, and operational weather applications relevant to aviation, UAS, and environmental decision-making.

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Contact

Department of Atmospheric Sciences, University of North Dakota

Email: marwa.majdi@und.edu