Opportunity at Air Force Research Laboratory (AFRL)
Optimization for Pattern Analysis
Information Directorate, RI/Advanced Computing Architecture
||Rome, NY 134414514
|Suter, Bruce W.
In aerospace systems, there is a growing gap between the amount of data generated and the amount of data that can be stored, communicated, and processed. Moreover, this gap keeps widening. One promising approach to solving this problem is to utilize optimization to reliably extract patterns from large scale data. This topic addresses the theory and application of optimization for pattern analysis. This includes:
(1) Development of an optimization-based theoretical framework for pattern analysis. Some promising directions are based in part on the study of multilevel and nonconvex optimization.
(2) Optimization applications that may permit novel computational paradigms, such as computation of numerical rank, which is critically important for machine learning and signal processing.
Optimization; Pattern analysis;
Open to U.S. citizens
Open to Postdoctoral and Senior applicants