Mr. Bacon's research interests include monte carlo modeling of radiation transport, voice recognition, neural networks, genetic programming, automatic target recognition, combat models, signal processing and image analysis. His principal efforts entail physics based computer modeling, particularly in the areas of atmospheric radiative scattering in application to remote aerosol properties retrieval, and visible/thermal radiation transport for quantitative camouflage design (conspicuity suppression). He designed extensive upgrades to the Aerodyne-originated Paint Map Optimizer (PMO), developing its capabilities for optimizing multispectral, spatially resolved camouflage patterns. His previous work at UTexas/Austin's Applied Physics Laboratory involved both active and passive acoustic array signal processing for sonar and buried object detection. Mr. Bacon's thesis evaluated possible techniques for detecting fissionable material in marine sediments and involved extensive computer modeling of neutron diffusion.