The mission of the Intelligent Systems and Controls Laboratory (ISCL) at the Georgia Institute of Technology is the exploration of the use of hybrid algorithms and intelligent control methodologies for modeling and solution of complex control problems especially those with humans in the loop. These problems are usually nonlinear and dynamic in nature with a significant presence of uncertainties of the non-probabilistic variety. In many cases, a mathematical model of the plant or system under control may be unavailable or represented with limited fidelity. Computer control methodologies and the potent tools of soft computing and optimization, including but not limited to fuzzy sets, neural networks, genetic and approximate algorithms, are central. Applications range from manufacturing and logistics to space systems, from electrical power systems to water resources and environmental pollution and a gamut of problems facing the health care industry.