Geospatial Computational Intelligence and Computer Vision

Geospatial AI Locates Masaailand Bomas for Non-Profit To Deliver Healthcare

Lead: Keli Cheng, PhD Candidate

We explore the Maasailand of Tanzania, to evaluate the use of deep neural networks (DNN) to aid in the automatic visual analysis of remote sensing data to geo-locate Maasai boma structures.

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Machine Learning Enabled Hazard Tracking with Low-Altitude UAS & Vehicle-borne Sensors

Team: Trevor Bajkowski, David Huangal, Alex Hurt, and Jeff Dale

This research involves the tracking of objects of interest across space and time from a UAS video feed and vehicle-borne sensors. We are creating a 3-dimensional situational awareness to enable safe navigation in hazardous areas, such as result from natural disasters. Future systems will enable dynamic vehicle autonomy in complex environments.

Geospatial AI for Modeling Environmental and Climate Fitness for Human Health

details coming soon

Applied Machine Learning and Advanced Data Analytics for Eldercare

details coming soon