Hi! I’m Connor Greenwell, a research scientist who loves building AI systems that help us better understand the world from above. I work on computer vision and machine learning problems, especially around remote sensing, geospatial analysis, and explainable AI.

I’m currently a Senior Research Scientist on Kitware’s Computer Vision Team, where I lead projects funded by federal agencies like the Army, NGA, and DOT. My recent work includes explainable AI for defense applications, 3D modeling from satellite imagery, and AI-driven urban planning.

Before joining Kitware, I completed my Ph.D. in Computer Science at the University of Kentucky, where I worked in the Multimodal Vision Research Lab with Dr. Nathan Jacobs. I also earned my B.S. in Computer Science and Mathematics at Kentucky and spent time at Oak Ridge National Lab and UNC Charlotte, working on early projects in remote sensing and human dynamics.

I live in Richmond, VA with my wife, Abbie, our dog, Hopper, and our cat, Jellybean. When I’m not working, I’m probably cycling, cooking something new, or trying to convince my cat to stop sitting on my keyboard.

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!