Hi there! I’m Connor Greenwell, a scientist specializing in object detection, feature detection, motion pattern learning, and anomaly detection, particularly in the context of remote sensing imagery. My expertise lies in developing advanced techniques to solve complex problems in these areas.

Currently, I work as a Senior Research Scientist on Kitware’s Computer Vision Team. I hold a Ph.D. in Computer Science from the University of Kentucky, where I worked in the Multi-modal Vision Research Lab under the guidance of Dr. Nathan Jacobs. I also earned my BS in Computer Science and Mathematics at Kentucky. My experience includes internships at the University of North Carolina at Charlotte, Oak Ridge National Laboratory, and Kitware, where I contributed to projects in remote sensing and geospatial analysis.

I reside in Richmond, VA, with my wife Abbie, our dog Hopper, and our cat Jellybean.

Links

• Send me email
• Publication listings:
  • Google Scholar
  • Semantic Scholar
  • DBLP
• Social media:
  • Twitter
  • Linkedin
  • Github

News

August 2024

DoT Phase I SBIR CURBS-AID: Complete Urban to Rural Balanced Streets by Artificial Intelligent Design was funded and is slated to begin later this year. DoT briefing.

July 2024

I have one paper at IGARSS 2024.

December 2023

I will be at WACV 2024 in Waikoloa, HI presenting my work on WATCH: Wide-Area Terrestrial Change Hypercube. Come say hi!