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Ph.D. Proposal Oral Exam - Niyem Mawembe Bawana

Title:  AI-Driven Terahertz Imaging for Nondestructive Evaluation of Glass Fiber Materials

Committee: 

Dr. Citrin, Advisor 

Dr. Anderson, Chair

Dr. Sherman

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Summary

This proposal aims to develop advanced AI models that enhance the assessment and characterization of glass fiber-reinforced polymer (GFRP) materials using terahertz (THz) imaging. By integrating AI-driven analysis with THz time-domain spectroscopy, the research seeks to complement existing nondestructive evaluation (NDE) techniques. These AI models will improve the precision in defect detection, thickness estimation, and 3D imaging, enabling more comprehensive material characterization. The approach will deliver optimal results by enhancing current methods and offering deeper insights into GFRP materials, which are critical in industries like aerospace and civil engineering.

Details

Tuesday
Dec 3 2024
11:00am - 01:00pm

Location: Online

In campus calendar: No

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Status

  • Workflow status: Published
  • Created by: Daniela Staiculescu
  • Created: 11/23/2024
  • Modified By: Daniela Staiculescu
  • Modified: 11/23/2024

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