Jason Daida

Associate Research Scientist

Research:

Theory and application of computational intelligence technologies that support open-ended problem solving, discovery, and innovation. This work has found application in earth and space sciences (e.g., pattern discovery in remotely sensed data), engineering education (e.g., curriculum and instruction of first-year students on complex problem solving), and genetic programming (e.g., automatic discovery of data models that exceed the performance of comparable expert-derived models).

Specializations and Research Interests

• Hybridization Theory and Biological Metaphors for Complex Adaptive Systems (Symbiosis)
• Scaffolded Remote Sensing Image Analysis with Genetic Programming
• Image Processing and Surface Reconstruction with Hybrid Genetic Algorithms

Honors, Awards and Accomplishments

University Research Initiative Program in Ocean Surface Processes and Remote Sensing

Professional Service

• The Institute of Electrical and Electronic Engineers Computer Society
• Geoscience and Remote Sensing Society
• Professional Communication Society
• International Society for Genetic Algorithms
• American Society for Photogrammetry and Remote Sensing