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Research Directions Connected questions. Complementary methods. Students develop focused research projects across these interconnected areas, guided by scientific questions, data availability, and practical relevance. 01 / OBSERVE — Earth Observation & Remote Sensing Use satellite observations to investigate changes in water storage, precipitation, evapotranspiration, soil moisture, snow, vegetation, and land cover. GRACE/GRACE-FO Satellite datasets Environmental change 02 /

Publications & Tools From research questions to useful outputs. Scientific Publications Browse Dr. Arfan Arshad's publications on water resources, groundwater, remote sensing, hydrological modeling, and machine-learning applications. Browse publications on Google Scholar: https://scholar.google.com/citations?user=8c8vq_EAAAAJ&hl=en&view_op=list_works&sortby=pubdate Research Platform: Geo-SMART A geospatial platform for exploring terrestrial water storage and groundwater anoma

For MS Students Learn the methods. Own the question. We value curiosity, scientific integrity, thoughtful collaboration, and a willingness to learn. Developing Your Research A strong project starts with a clear question and grows through reading, experimentation, discussion, and revision. Topics and milestones are agreed with the advisor. Connect a meaningful environmental question with appropriate data and methods. Build skills in GIS, remote sensing, programming, modeling,

Research Enquiries Start with a question that matters. Prospective students should prepare a short introduction, a CV, and a brief description of their research interests, relevant skills, and possible alignment with the group. AI-SMART Research Group Led by Dr. Arfan Arshad National University of Sciences and Technology Islamabad, Pakistan Research Profile: https://scholar.google.com/citations?user=8c8vq_EAAAAJ&hl=en

About AI-SMART Research Group AI-SMART Research Group at NUST Understanding Earth. Informing decisions. AI-SMART is a collaborative research group led by Dr. Arfan Arshad at the National University of Sciences and Technology (NUST), Pakistan. We address water, weather, climate, and environmental challenges using remote sensing, geospatial technologies, hydrological modeling, and artificial intelligence. Our research connects scientific innovation with practical solutions for

People Research built through collaboration. Group Lead: Dr. Arfan Arshad AI-SMART Research Group, NUST, Pakistan Remote sensing, hydrology & geospatial AI Dr. Arshad's research examines terrestrial water storage, groundwater sustainability, hydrological change, and environmental hazards using satellite observations, modeling, and machine learning. His work includes GRACE downscaling, groundwater assessment, and the development of geospatial tools that connect research with w