Austin O'Brien
Austin O'Brien
Associate Professor / Dept. Chair - Computer Science
Department
The Beacom College of Computer & Cyber Sciences
Education
Ph.D., Computational Statistics
M.S., Computer Science
B.S., Computer Science
Biography
Austin O’Brien is an Associate Professor in The Beacom College of Computer & Cyber Sciences, teaching courses at the undergraduate and graduate levels in the areas of design and analysis of computer algorithms, algorithms and optimization, data structures, machine learning fundamentals, machine learning for cybersecurity, and reinforcement learning.
He is also the program coordinator for the M.S. in Computer Science and serves as chair of the Computer Science Department.
Contact
Office Location: East Hall
Phone: (605) 256-5838
Email
Website
- Programming
- Algorithm Analysis
- Reinforcement Learning
- Artificial Intelligence
- Reinforcement Learning
- The Dr. Ernest Teagarden Award of Excellent in Teaching
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Nelson, T. O’Brien, A. Noteboom, C. (2023). Machine Learning Applications in Malware Classification:
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A Meta-analysis Literature Review. International Journal on Cybernetics & Informatics, Vol. 12, No. 1, February 2023.
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Ofori, M., El-Gayar, O., O'Brien, A. and Noteboom, C. (2022). A deep learning model compression and ensemble approach for weed detection. Hawaii International Conference on System Sciences.
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Chaudhary, S., O’Brien, A., Xu, S. (2020) Automated Post-Breach Penetration Testing through Reinforcement Learning. 2020 IEEE Conference on Communications and Network Security, Avignon, France, pp. 1-2
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Feb. 2023. “Artificial Intelligence: Cyber, Agriculture, and Beyond,” East River Electric Energize Forum. Sioux Falls, SD.
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Aug. 2022. “The Current State of Artificial Intelligence and Where We’re Going,” Danebod Folk Meeting. Tyler, MN.
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Nov. 2019. “Alert Prioritization and Strengthening: Towards an Industry Standard Priority Scoring System for IDS Analysts Using Open-Source Tools and Models of Machine Learning.” CLEAR Cyber
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Leaders Conference. Sioux Falls, SD. Research Paper Presentation.
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Jul. 2019. “AI & Technology – Future of Workforce,” Brookings Area Workforce Conference. Brookings, SD.