My Research
"Far better to dare mighty things, to win glorious triumphs, even though checkered by failure, than to take rank with those poor spirits who neither enjoy much nor suffer much, because they live in the gray twilight that knows not victory nor defeat." - Theodore Roosevelt
I have willingly undertaken problems deemed too difficult by many and ventured into territory considered too risky by others. I am inclined to explore unconventional areas that expand the boundaries of traditional disciplines and to apply innovative concepts from other fields. During my masters and doctoral work, I incorporated artificial intelligence and machine learning techniques into engineering design. At General Electric (GE), I overhauled traditional design processes by incorporating formal optimization models of automation. At the University, I have sought to bring novel ideas into information assurance. I have abstracted models from biology (i.e. immune systems and gene regulatory pathways) to develop network security models. In addition, I have followed the work on social behavior of insects for creating self-organized distributed computing architectures. A common thread throughout my career has been the blending of concepts from information technology, computer science, business, and engineering to create new streams of interdisciplinary research. I have three different research streams, i.e., Information Assurance, Complex Self-Organizing Systems, and Engineering Optimization.