We are a research lab at the Computer Science & Engineering Department, University of Minnesota, Twin Cities.
Our research focuses on applied machine learning and data science, thriving at the intersection of computer science and spatial sciences. We create advanced machine learning algorithms and intelligent systems to tackle real-world challenges by:
- Discovering, gathering, integrating, and interpreting data from diverse sources
- Leveraging multimodal data characterized by diverse spatial and temporal scales, completeness, and coverage
We are currently concentrating on building machine learning frameworks that exploit spatial data properties and structural knowledge to address challenges in natural language processing, computer vision, and spatiotemporal data prediction & forecasting. We collaborate with domain experts in fields such as:
- Transportation
- Health and public health
- Human geography and history
- Digital humanities, library science, and museums
- Agriculture
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