Leila Character
  • Assistant Professor

Research Interests

I use machine learning and remotely sensed imagery to gain insight and produce new information about Earth processes and patterns. My work centers on using geospatial analyses to solve a diverse set of challenging, real-world problems across disciplines. My projects span archaeology, environmental science, and geospatial intelligence, and often involve fieldwork. I think it's important to be involved in both the computational and field portion of projects so that models accurately match real world phenomena. Also, fieldwork is lots of fun! I bring a multidisciplinary perspective to the problems I address through my professional and academic background, with experience as a professional geologist, environmental scientist, and researcher at an artificial intelligence start-up. Take a look at my CV to see more.

Short descriptions of some of my active projects follow.

  • Deep learning using sonar for detection of WW2 aircraft wrecks that may contain the remains of missing-in-action service members
  • Multimodal sensor fusion for underwater target detection using autonomous underwater vehicles
  • Multimodal machine learning for seafloor characterization along the Ivorian continental shelf
  • Deep learning and custom vegetation indices for detection of ancient Romanian burial mounds

Educational Background

  • Ph.D. University of Texas at Austin, Department of Geography and the Environment
  • M.A. University of Texas at Austin, Department of Geography and the Environment
  • B.S. Sewanee: The University of the South, Major in Geology and Minor in Anthropology/Archaeology