Hasan M. Abdullah's Site

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I am a researcher and educator working at the intersection of Artificial Intelligence, UAV‑based remote sensing, and precision agriculture, with a mission to build data‑driven, climate‑smart solutions for crop production and natural resource management. My work integrates AI/ML, multisensor phenotyping, geospatial analytics, and agronomy to detect plant stress early, optimize inputs, and support resilient, sustainable cropping systems.

I currently serve as a Researcher in Data Science & Precision Agriculture at Texas Tech University, where I develop high‑throughput phenotyping pipelines, lightweight deep learning models, and multispectral/thermal UAV analytics for crop stress detection, disease diagnosis, and yield prediction. My recent work includes AI‑enabled assessments of cotton water‑stress resilience, nitrogen optimization in cotton, rice, and okra, and multisensor stress monitoring in soybean, wheat, maize, and other crops.

I am also a Professor and Founding Chair of the Department of Remote Sensing & GIS at Gazipur Agricultural University, where I led national digital agriculture initiatives, mentored 40+ graduate students (many now at U.S. R1 universities), and built multi‑stakeholder partnerships with USDA, IRRI, CIMMYT, NASA‑linked programs, and industry. I have trained more than 100 farmers, 250 scientists, and extension agents in UAV, IoT, and precision agriculture tools.

My research contributions include:

• AI models such as SeedlingNet, BananaSqueezeNet, and transformer baselines for rapid plant disease and stress diagnosis

• UAV‑based multispectral/thermal pipelines for canopy nitrogen estimation, drought/heat stress detection, and yield modeling

• Decision‑support frameworks that improve nitrogen, water, and input efficiency by 15–20%

• G×E×M phenomics approaches linking remote sensing traits to genotype performance

I am a Norman E. Borlaug International Agricultural Science & Technology Fellow (USDA) and a GOFC–GOLD Fellow (NASA/START), with a strong record of interdisciplinary collaboration, open‑science contributions, and stakeholder‑centered innovation.

My long‑term vision is to advance AI‑enabled field phenotyping, resource‑smart production systems, and resilient cultivar development, and to translate cutting‑edge research into practical tools that benefit farmers, researchers, and the broader agricultural community.

 Contact at: hasan.abdullah@gau.edu.bd