The Lab for Geoinformatics and AI Modeling (GAIM) at the University of Georgia advances geospatial analytics and predictive modeling by integrating artificial intelligence with remote sensing and GIS. Our research focuses on developing accurate, reliable, and uncertainty-aware machine learning methods with Earth data, with applications including renewable energy forecasting, extreme event prediction, and water resource management.
We welcome collaboration with students, researchers, and partners interested in AI, geospatial science, and environmental data modeling. Please see the lab website for more information.
Here are some keywords in our Lab:
- Languages: Python, R, Rust, C++
- Domains: Extreme Events Forecasting, Earth System Modeling
- AI: Machine Learning, Ensemble Methods, Analog Forecasting, Predictive Modeling, Uncertainty Quantification
- Scientific Computing: High-Performance Computing (HPC), Parallel Computing
- Tools & Frameworks: MPI, OpenMP, CMake, Rcpp, GIS, Scientific Python Ecosystem, Dioxus
- Data Types: Spatiotemporal Data, Environmental Data, Climate & Energy Data
