Computer Engineering, Machine Learning

MICHAEL SQUIRE

**** **********, *** *******, ** *8250 210-***-**** *************.**@*****.*** https://www.linkedin.com/in/michael-squire-52b20a289/

EDUCATION

University of Texas at San Antonio San Antonio, TX

Master of Science, Computer Engineering

August 2022 – December 2023

University of Texas at San Antonio San Antonio, TX

Bachelor of Science, Computer Engineering

August 2019 – December 2022

Graduated Cum Laude

Honors College Graduate

EXPERIENCE

Student Researcher Consortium on Nuclear Security Technologies San Antonio, TX

June 2021 – December 2023

Researched machine learning methods with application to nuclear material detection

Applied signal analysis using MATLAB

Published results in technical journals and presented at conferences

Research Intern Los Alamos National Laboratory Los Alamos, NM

May 2023 – July 2023

Ran experiments using python to improve in-house laboratory code

Submitted batch jobs to supercomputer to run calculations

Results published in technical journal

Research Intern Los Alamos National Laboratory Los Alamos, NM

June 2022 – August 2022

Conducted correlation experiments

Gained laboratory experience

SKILLS

Knowledge of coding languages C/C++, Python, Java, and MATLAB

Experience using Linux, EC-Lab, LabVIEW, and SOLIDWORKS

Coursework in programming, artificial intelligence, cybersecurity, cloud computing, and nanotechnology

PUBLICATIONS

Intelligent Smoothing and Cumulative Sum Control Methods Applied to Signal Peak Detection in Gamma-Ray Measurements 15th International Conference on Information, Systems and Applications

July 17, 2024

Intelligent Signal Smoothing and Cumulative Sum Control Applied to Nuclear Source Search Master’s Thesis

December 1, 2023

Accuracy of the Standard Deviation Estimated with Correlated Sampling using Batch Statistics Transactions of the American Nuclear Society Annual Meeting

November 1, 2023

Synergism of Fuzzy Numbers and Data Smoothing for Abrupt Change Detection in Gamma-Ray Measurements 14th International Conference on Information, Systems and Applications

July 10, 2023

Fuzzy Logic Method for Trend Identification in Radiation Measurements taken with a Mobile Detector with Application to Nuclear Security Transactions of the American Nuclear Society Annual Meeting

June 1, 2022

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