Aubrey Birdwell: computing research
Aubrey Birdwell is a computer science researcher, artist, and fabricator based in Seattle. He is currently preparing to graduate with a Master’s in Computer Science from Georgia Tech, with an expected graduation date of May 5, 2025. His focus has been AI (Interactive Intelligence).
He holds a dual Bachelor of Arts and Bechelor of Science (2023), with concentrations in computer science and mathematics, and significant coursework in programming language theory, functional programming, machine learning, and mathematics.
His current research leverages AI and machine learning to enhance cybersecurity education, specifically aiming to improve interactions between instructors and students within a cybersecurity education platform.
In fabrication, Aubrey creates both small and large-scale works, from specialized electronics enclosures and industrial products to architectural details, often integrating technical precision with aesthetic design. He consults, engages in industrial design, and builds work for commercial clients and notable artists, including major tech companies, design firms, and Gary Hill. Many of the projects involve sensitive contexts and are approached with a high degree of professionalism and discretion.
He actively develops new artworks and curatorial projects, sharing his explorations on his artist website.
Links to select research papers:
@inproceedings{Svabensky2024detecting,
author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Tk\'{a}\v{c}ik, Kristi\'{a}n and Birdwell, Aubrey and Weiss, Richard and Baker, Ryan S. and \v{C}eleda, Pavel and Vykopal, Jan and Mache, Jens and Chattopadhyay, Ankur},
title = {{Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments}},
booktitle = {Proceedings of the 54th Frontiers in Education Conference},
series = {FIE '24},
publisher = {IEEE},
address = {New York, NY, USA},
year = {2024},
numpages = {9},
url = {https://doi.org/10.1109/FIE61694.2024.10893135},
doi = {10.1109/FIE61694.2024.10893135},
}
@inproceedings{Birdwell2024logs,
author = {Birdwell, Aubrey Nicholas and Cook, Jack and Weiss, Richard S. and Mache, Jens},
title = {{Board 289: From Logs to Learning: Applying Machine Learning to Instructor Intervention in Cybersecurity Exercises}},
booktitle = {Proceedings of the 2024 ASEE Annual Conference \& Exposition},
series = {ASEE '24},
publisher = {ASEE Conferences},
address = {Portland, OR, USA},
year = {2024},
month = {June},
note = {https://peer.asee.org/46864},
number = {10.18260/1-2--46864}
}