Candidate: Mauricio Hernandez
Date: November 27, 2024
Time: 2:00 PM
Location: Online - contact the candidate for more information.
Supervisor: Ramahi, Omar
All are welcome!
Abstract:
Microwaves have shown effectiveness in generating a strong contrast of the material's constituents, and they have captured researchers' attention in developing applications in various fields. In particular, the low microwave frequency regime has proved the advantage of penetrating deep into the material. It allows researchers to use it in different fields with several engineering applications, such as human body anomaly detection.
In this talk, I would like to introduce a metasurface sensor that detects breast cancer by operating at sub-microwave frequency. Each cell of the metasurface gives rise to a voltage difference that can be measured at the back of the metasurface. Thus, the metasurface can generate an impression related to the breast's constituents. Simulations and experiments were performed to capture and analyze a collection of images using machine learning methodologies. The findings of this testing stage demonstrated the device's capability to identify anomalies in the breast that may or may not be cancerous.