Washington University in St. Louis (WU)
General interests include (i) developing mathematical models of complex systems, including biological and physical systems, (ii) then using statistical signal processing, machine learning tools, and imaging to analyze multi-sensor measurements of these systems, for instance estimate unknown parameters, (iii) analyzing the expected performance of these estimates, and (iv) using the results to make the best decisions using modern optimization methods. The first problems are sometimes called forward and inverse problems. Our statistical analysis includes computing statistical hypothesis tests, detection and estimation algorithms, performance analysis, and bounds.
Biomedical applications include electrophysiological modeling of the uterus, multi-modal sensor array processing for sleep modeling, optimal 3D microarray design and imaging, and genomic signal processing.