Core Research Pillars
01
Sustainable Agriculture & Mitigation Strategies
- Reducing greenhouse gas emissions from farming
- Comparing organic vs conventional systems
- Linking air pollution, climate, and public health
- Using AI/ML for climate-smart crop predictions
02
Extreme Weather & Precipitation Events
- Understanding causes and characteristics of heavy rain events
- Human influence on hydrologic extremes
- Microphysics of deep convective storms
- Orographic and satellite-based rainfall analysis
03
Rainfall Forecasting & Water Resource Analysis
- Improving short-to-medium range precipitation forecasts
- Correcting biases in rainfall models with AI/ML
- Classifying rain types using satellite data
- Analyzing changes in water storage due to climate and human activity
- Building geospatial tools for climate data handling
04
Atmospheric Processes & Air Quality Modeling
- Transport and deposition of atmospheric pollutants
- Impacts of air quality on environment and health
- High-resolution urban weather forecasting
- Regional climate modeling techniques
05
Urban Climate & Adaptation Planning
- Urban lakes and their ecosystem services under climate stress
- Climate-responsive design of built heritage
- Data-driven tools for city-level climate adaptation
- Machine learning applications in urban resilience
06
Clean Energy & Low-Carbon Transport
- Alternative fuels for engines
- Electric vehicles as low-carbon mobility option
- Wind energy system modeling and optimization
- Data-driven approaches to renewable energy performance
07
Nature-Based Climate Solutions
- Sponge city concepts and urban greening
- Nature-based approaches to reduce emissions
- Modeling greenhouse gas fluxes from natural systems
- Ecosystem-based mitigation strategies
08
Circular Systems, Waste & Coastal Resilience
- Vulnerability of coastal ecosystems to climate change
- Bio-electrochemical methods for resource recovery
- Circular economy potential of invasive plants
- Improving wastewater treatment efficiency with advanced designs