Melanie Sutton
- Position: Professor
- Department: Public Health
- Office Location: Building 38, Room 127
- msutton@uwf.edu
- Campus: 850.474.2650
- ePortfolio
Biography
Dr. Melanie A. Sutton is currently a tenured Professor in the Department of Public Health at UWF, where her research includes GIS applications in public health, informatics, and data science. She incorporates responsible use of AI-facilitated learning and AI-augmented workflows for data visualization and map-making in her teaching.
Dr. Sutton collaborates with professionals using geospatial analysis and data visualization on problems critical to population and environmental health, including health outcomes, crime mapping, ecosurveillance, and biodiversity. She has written and co-written many peer-reviewed articles and book chapters on various aspects of computer vision, robotics, digital mammography, and online instruction and assessment. Before coming to UWF in 1996, she was a software engineer for Harris Corporation in their Space Systems Division, where as a programmer for the CORE project, she worked on the redesign of the Launch Processing System for the (now retired) Space Shuttle.
She received a bachelor's degree in computer engineering, master's in computer science, and doctorate in computer science and engineering with a focus on computer vision and robotics, all from the University of South Florida. She received a master’s in GIS administration from the University of West Florida.
Accolades for her accomplishments include: CURE Fellow grant from UWF's Office of Undergraduate Research, U-Care Award and U-Make A Difference Award from the UWF Excellence Matters Faculty and Staff Reward and Recognition Program, Appreciation Award from Pensacola chapter of the American Society of Safety Engineers, Excellence in Undergraduate Teaching and Advising Award from UWF, and Outstanding Instructor of the Semester Award from UWF. She additionally received an Honorable Mention Pattern Recognition Society Award for an outstanding journal article published in Pattern Recognition.


