Andrew Logan Sanders

Computer Scientist | PhD Student | Researcher

About Me

I'm from Saint Simons Island, Georgia and I'm passionate about computer science. With a Bachelor's and Master's in Computer Science from Georgia Southern University, I'm currently pursuing my PhD at Augusta University. My research focuses on software vulnerabilities, classroom attention tracking, and AI applications in education. I'm dedicated to pushing the boundaries of what's possible in computer science and its applications in educational settings.

In addition to my academic pursuits, I'm committed to promoting computer science as a career. Recently, I had the opportunity to speak with hundreds of high school students at the Big Tide Changemakers Summit 2024, sharing my experiences and insights about the field of computer science.

Recent Achievements

Third Place at Innovate 2024

Pitched my thesis work, NiCATS (Non-intrusive Classroom Attention Tracking System), at Innovate 2024. The presentation focused on using NiCATS to help diagnose children with learning disabilities, showcasing the potential real-world impact of my research.

Speaker at Big Tide Changemakers Summit 2024

Engaged with hundreds of high school students at the Big Tide Changemakers Summit 2024, promoting computer science as a career path and sharing insights about the field's potential and opportunities.

Skills

Programming

Python
Java
C#
JavaScript
C++

Web Technologies

HTML/CSS
Node.js
React

Databases

SQL Server
PostgreSQL

Machine Learning

Neural Networks
Computer Vision
TensorFlow

Education

PhD in Computer and Cyber Science

Augusta University

Expected graduation: 2026

Master's in Computer Science

Georgia Southern University

Graduation year: 2022

Thesis: Developing And Validating A Machine Learning-Based Student Attentiveness Tracking System (PDF)

Bachelor's in Computer Science

Georgia Southern University

Graduation year: 2020

Publications

2024

Sanders, A., Singh Walia, G., & Allen, A. (2024). Analysis of Software Vulnerabilities Introduced in Programming Submissions Across Curriculum at Two Higher Education Institutions. In 2024 IEEE Frontiers in Education Conference (Accepted). (PDF)

Boswell, B., Sanders, A., Singh Walia, G., & Allen, A. (2024). Utilizing Convolutional Neural Networks and Eye-Tracking Data for Classroom Attention Tracking. In Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS-57). (PDF)

2023

Sanders, A., Singh Walia, G., & Allen, A. (2023). Assessing Common Software Vulnerabilities in Undergraduate Computer Science Assignments. In Proceedings of the 27th Colloquium on Information Systems Security Education (CISSE). (PDF)

2022

Sanders, A., Boswell, B., Allen, A., Singh Walia, G., & Shakil Hossain, M. (2022). Development and Field-Testing of a Non-intrusive Classroom Attention Tracking System (NiCATS) for Tracking Student Attention in CS Classrooms. In 2022 IEEE Frontiers in Education Conference (FIE). (PDF)

Boswell, B., Sanders, A., Allen, A., Singh Walia, G., & Shakil Hossain, M. (2022). Using AI-based NiCATS System to Evaluate Student Comprehension in Introductory Computer Programming Courses. In 2022 IEEE Frontiers in Education Conference (FIE). (PDF)

Sanders, A. (2022). Developing And Validating A Machine Learning-Based Student Attentiveness Tracking System. Electronic Theses and Dissertations. (PDF)

2021

Sanders, A., Boswell, B., Singh Walia, G., & Allen, A. (2021). Non-Intrusive Classroom Attention Tracking System (NiCATS). In 2021 IEEE Frontiers in Education Conference (FIE). (PDF)

Projects

Engagement Tracker

NodeJS, Python, C#, SQL Server, C++, PostGreSQL

System for judging classroom attentiveness using eye trackers, web cameras, and a Convolutional Neural Network. (Started as a class project and expanded to extracurricular research)