Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internship Opportunities
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Science
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Research Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Leadership Team
Apply
nonlinear electromagnetic inversion
Robust and Efficient Methods for Nonlinear Electromagnetic Inversion: Regularization, Optimization, and Learning-Assisted Strategies
Lingqi Gao, Ph.D. Student, Electrical and Computer Engineering
Nov 18, 10:00
-
12:00
B3 R5209
electromagnetic inversion
optimization
nonlinear electromagnetic inversion
This dissertation develops several physics-based and learning-assisted methods to improve the robustness, capability, and computational efficiency of nonlinear EM inversion.