John Sudano, PhD

When a missile is headed in a protected area decisions must be made quickly. Engage now with estimates of (warhead, debris, and decoy) being low from the missile seeker and ground radar or wait to increase the decision estimates at a cost of not having enough time to reengage. The goal of this meeting is to produce a simple mathematical approach that can address this problem.

Discussion Topics: Complete and Incomplete Information Set, Dempster-Shafer Mathematical theory representing of Information, Pignistic Probability Mappings, Probability Information Content (PIC)

Biography:

Dr. John Sudano is presently CEO of Reliant Scientific LLC, where he is doing research in pure mathematics, in Bayesian and Belief processes for the automated integration of dissimilar sensor information for identification, error estimation, and information discrimination in hostile environments. He developed the Generalized Belief Fusion Algorithm. As a pioneer in tracking design with many implementations presently deployed, he is presently continuing his interest to include novel tracking techniques addressing complex applications. He received a Ph.D. from New York University, an M.S. from Michigan State University, and a B.S. from Fairleigh Dickinson University, all in Physics. He served as Chairman of the Executive Committee of the IEEE Philadelphia section in 2004. In 2005, he served as the General Chairman of the 8th International Conference on Information Fusion in Philadelphia, and in 2007 as the Chairman of the 2nd Annual Sensor Fusion Europe Conference held in Brussels.