Justin Richard Mieth

Biomedical engineering

Hometown: Buffalo, New York, United States

Graduation date: Spring 2019

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MORE | Spring 2019

Non-invasive Cellular Detection Using the Photoacoustic Effect

The photoacoustic effect occurs when a target absorbs a specific wavelength of light, resulting in thermal expansion and the production of subsequent pressure waves. This phenomenon can be used in a variety of biomedical applications with minimal impact on tissue samples. The objective of this work is to measure the photoacoustic effect from multiple cell types. This is significant because it establishes a method of non-invasive cellular detection.

Mentor: Barbara Smith

More projects from the current symposium

Yogesh Kumar

Robotics and autonomous systems

Design, Contact Modeling, and Collision-Inclusive Planning of a Dual-Stiffness Aerial RoboT (DART)

An aerial robot capable of navigating safely and efficiently through cluttered environments is invaluable for collecting critical data.

Mentor: Wenlong Zhang

Program: MORE

Alma Samuel Babbitt

Computer systems engineering

Verification Code Generation in the Hardware Description Language Verilog

Using large language models for verification code generation in Verilog for integrated circuit designs will shorten testing and remove roadblocks.

Mentor: Nakul Gopalan

Program: FURI

Muhammed Hunaid Topiwala

Computer science

Next-Gen Immunotherapies: Analysis of Large TCR Repertoires to Create a TCR Cluster Benchmark Using the catELMO Embedding Technique

Developing a machine learning technique for clustering large-scale empirical tokenized host-pathogen interaction datasets to advance cancer immunotherapy.

Mentor: Heewook Lee