Fog Detection & Visibility Estimation
Developing methods that combine camera imagery and meteorological observations to detect fog and estimate visibility in low-visibility environments.
University of North Dakota
Atmospheric science for safer, smarter weather decisions.
I am an Assistant Research Professor in Atmospheric Sciences at the University of North Dakota. My research combines atmospheric observations, numerical modeling, and artificial intelligence to study weather hazards and improve operational decision-making, particularly for aviation and uncrewed aircraft systems.
Fog & Visibility
AI for Weather
Cloud Microphysics
Aviation & UAS Weather
Aerosols
About
Research at the intersection of weather, data, and operations.
Dr. Marwa Majdi develops observation- and data-driven approaches to understand and predict atmospheric conditions that affect visibility, cloud ceiling, aviation, and environmental decision-making. Her broader scientific background includes aerosol chemistry, wildfire impacts on air quality, and cloud microphysics. She also mentors undergraduate and graduate researchers in scientific computing, data workflows, and research communication.
Research
Core Research Themes
Three complementary areas connect atmospheric processes with emerging data and AI methods.
AI for Weather Forecasting
Applying machine learning to short-term prediction of weather hazards, cloud ceiling, visibility reduction, and convective environments.
Clouds, Aerosols & Applied Weather
Investigating cloud microphysics and aerosol processes while translating atmospheric science into practical tools for aviation, UAS, and environmental applications.
Featured Research Demo
VisSense Cam: Camera-Based Visibility Estimation
Explore VisSense Cam, an interactive research prototype that turns camera imagery and meteorological observations into practical visibility awareness for low-visibility monitoring, aviation, UAS, and related weather applications.
News & Highlights
Recent research, awards, and student activity
Selected updates from current projects, research training, and recognition.
April 2026
Undergraduate research presented at UND’s URSA Grand Journey
Jenna Post presented Building an AI-Ready Camera-METAR Dataset from Publicly Available Data for Visibility and Cloud-Ceiling Estimation at the Spring 2026 Undergraduate Research and Scholarly Activity Grand Journey. Event information
February 2026
UND launches the Data Skills Pathway
The university-wide initiative prepares students for AI-age careers through experiential learning, real-world data analysis, and workforce-relevant skills. Read the UND story
U.S. Department of Education award. Dr. Majdi serves as Co-I with Dr. David Delene on Building Capacity for High-Quality Short-Term Programs: Undergraduate Experiential Learning and Data Skills Pathway, a university-wide, credit-bearing experiential learning initiative. Press release
North Dakota hail-seeding research award. Dr. Majdi received an award from the North Dakota Department of Water Resources, Data & Atmospheric Resources Division, for research combining radar, GOES, WRF, statistics, and interpretable machine learning to evaluate hail-seeding effectiveness in western North Dakota. Press release
NASA IMPACTS Group Achievement Award. Dr. Majdi received recognition as part of the NASA IMPACTS team. Related UND story
Faculty appointment. Dr. Majdi joined the UND Atmospheric Sciences faculty. Department announcement
UND Early Career Award. Dr. Majdi was recognized in UND’s first Early Career Awards. University Letter · Department story