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Gordon Christie

Senior Engineer at The Johns Hopkins University Applied Physics Laboratory

Gordon Christie is a senior engineer at the Johns Hopkins University Applied Physics Laboratory (APL) who specializes in applying artificial intelligence (AI) to disaster response and relief.3 His work involves creating machine-learning capabilities to process overhead imagery for flood segmentation, road analysis, and building damage assessment.1

Christie contributed to work that earned the award for Best Paper in the EarthVision Workshop track at the IEEE Computer Vision and Pattern Recognition 2021 Conference.2 He collaborated with Ryan Mukherjee, Derek Rollend, and others to develop a near-real-time inventory of road transportation emissions as part of the Climate TRACE initiative.2

Prior to his work with Climate TRACE, Christie teamed with Angeline Aguinaldo and Christopher Gifford to participate in the Humanitarian Engineering and Logistics Preparedness (HELP) challenge, where they secured funding for their "Flood Mapping in Satellite Imagery" idea. This initiative improved the Hurricane Florence response effort and aided in the Hurricane Dorian response.1

Related Questions

What specific projects has Gordon Christie worked on at Johns Hopkins APL?
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Gordon Christie
Gordon Christie, photo 1
Gordon Christie, photo 2
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Location

Laurel, Maryland