Keith Jenkins

Research Summary

Experimental and theoretical research in the areas of: parallel computing systems incorporating electronics, photonics, and optics; optical interconnections, including computer generated holographic elements, diffractive optical elements, and volume holographic elements; neural networks for information processing, including optical and photonic implementations, adaptive volume holographic systems, neural learning algorithms and neural-network models for optical implementation; 3-D photonic multichip modules, including multilayer hardware components, neurobiologically inspired vision algorithms for parallel implementation, and techniques for mapping algorithms to hardware; other topics, including modeling of volume holographic recording processes in photopolymer materials, parallel computation models for photonic computing systems, and advanced multidimensional displays; neurobiologically inspired models for early vision algorithms and for learning sparse representations; pattern recognition and biologically inspired techniques for object recognition; machine learning techniques for modeling propagation of optical beams through the atmosphere; and machine learning models for medical applications including predicting patient adherence to treatments for sleep disorders.