Bayesian Optimal Experimental Design for Inverse Scattering

Abstract

The overarching objective of this project is the design, analysis, and application-testing of methodsand scalable algorithms for optimal medium and source/receiver design for inverse wave scattering in the presence of uncertainty and randomness. Success in the proposed research will create capabilities for source/receiver design and medium design for inverse scattering problems that greatly advance the state of the art in target identification by framing the problem as one of optimization of the uncertainty in the inference, given by solution of an embedded Bayesian inverse problem.

Document Details

Document Type
DoD Grant Award
Publication Date
May 02, 2017
Source ID
FA95501710190

Entities

People

  • Omar Ghattas

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Texas at Austin

Tags

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms