Overview
The AI for Climate Change Resilience study group explores cutting-edge applications of artificial intelligence to address critical challenges posed by climate change.
Group Lead
Dr. Ayman Aljarbouh
Chair, Computer Science Department
School of Arts and Sciences, University of Central Asia (UCA)
Email: ayman.aljarbouh@ucentralasia.org
Faculty Profile:
Dr. Ayman Aljarbouh
Focus Areas
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Climate Change Forecasting and Observation
- AI-enhanced climate modeling and forecasting for temperature, precipitation, and extreme-weather prediction.
- Carbon emission tracking via satellite and IoT data combined with machine-learning visualization.
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Solar and Wind Energy Efficiency
- Dynamic solar-panel optimization using AI to adjust orientation and maximize irradiance capture.
- Real-time turbine control for performance and resilience under changing weather conditions.
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Urban Sustainability
- AI solutions for smart-city challenges such as urban-heat-island mitigation, traffic optimization, and waste management.
- AI-based building-energy-efficiency models integrating smart sensors and predictive analytics.
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Agriculture and Water Management
- Precision agriculture via soil-condition prediction, yield assessment, and irrigation forecasting.
- AI-driven flood-management frameworks for adaptive water distribution and crop protection.
This initiative fosters interdisciplinary collaboration and develops innovative AI-driven solutions to enhance resilience and sustainability in the face of climate change. Join us as we work toward a sustainable future!