Karam Alsafadi
Xiamen University, Nanjing University of Information Science and Technology, Alexandria University, Damascus University
Research areas: Environmental Science · Global and Planetary Change · Hydrology and Drought Analysis · Climate change impacts on agriculture · Climate variability and models
About
Karam's research explores the spatial-temporal interactions between climate and biosphere at a range of scales, especially in climatic risks, extreme events like drought. Also, climate change impacts on plant disease outbreak in Mediterranean region. He also works on spatial modeling of observed climatic parameters for ecological management and long-term sustainability. His main research interests include climatology and Agroclimatology, GIS, and remote sensing applications.
Employment
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Xiamen University Assistant Researcher2023 - 2025
- 2021 - 2023
Education
- 2017 - 2020
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Alexandria University Master2013 - 2016
- 2007 - 2011
Projects & Funding
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Cultural exchange grant Ministry of Higher Education, Egypt2013 - 2019
Publications (73)
- High-resolution maize yield mapping across Africa using earth observation and machine learning, deep learning, and foundation model Save
- INDRA-Net: A Weakly Supervised Multiple Instance Learning Framework for Spatio-Temporally Interpretable and Extreme-Aware Crop Yield Forecasting in India Save
- CropFusionNet: An Interpretable Deep Learning Framework for Uncertainty-Aware Crop Yield Forecasting across Germany Save
- CropFusionNet: an interpretable deep learning framework for uncertainty-aware crop yield forecasting across Germany Save
- A study of lightning disaster assessment and zoning on the Qinghai Plateau Save
- Spatial-temporal patterns of concurrent droughts and heatwaves in the Qaidam Basin, China Save
- A machine learning framework for modeling and upscaling mangrove carbon productivity (ML-MCP) Save
- A robust and scalable crop mapping framework using advanced machine learning and optical and SAR imageries Save
- High temporal variability not trend dominates Mediterranean precipitation Save
- Harnessing Novel Data‐Driven Techniques for Precise Rainfall–Runoff Modeling Save
- Advancing Crop Yield Predictions: The Potential of Diffusion Models in Machine Learning for Agriculture Save
- Modelling mixed crop-livestock systems and climate impact assessment in sub-Saharan Africa Save
- Optimized deep learning for ultra-short-term wind power prediction in coastal and offshore wind farms Save
- Spatial Analysis of the Land Suitability for Sustainable Urban Construction in the Mountainous Regions of the Eastern Mediterranean: A Case Study Save
- Urbanization's dual role in the exacerbation and mitigation of drought dynamics in China Save
- Characteristics and Driving Mechanisms of Coastal Wind Speed during the Typhoon Season: A Case Study of Typhoon Lekima Save
- Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach Save
- Remotely Sensed Changes in Qinghai–Tibet Plateau Wetland Ecosystems and Their Response to Drought Save
- Assessment of the environmental kuznets curve within EU-27: Steps toward environmental sustainability (1990–2019) Save
- Response of Ecosystem Carbon–Water Fluxes to Extreme Drought in West Asia Save