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Home ― Directory ― Austin O'Brien

Austin O'Brien

Austin O'Brien

Austin O'Brien

Associate Professor/Coordinator for MS in Computer Science

Department

The Beacom College of Computer & Cyber Sciences

Education

Ph.D., Computational Statistics - South Dakota State University
M.S., Computer Science - South Dakota State University
B.S., Computer Science - South Dakota State University

Biography

Current research interest in Machine Learning

Contact

Office Location: East Hall
Phone: (605) 256-5838
Email
Website

  • O'Brien teaches courses at the undergraduate and graduate levels. His focus is in the following areas of design and analysis of computer algorithms, algorithms and optimization, data structures, computer science II, machine learning fundamentals, machine learning for cybersecurity, and reinforcement learning.

  • Many of O'Brien's research endeavors involve working with students. He recently served as a research mentor for the AI Sweden Exchange Summer Research in 2022. Currently, he serves as an advisor for DSU Honors College Thesis, Graduate Student Research Initiative, and the undergraduate Student Research Initiative.

  • O'Brien is the 2020 recipient of the Ernest M. Teargarden Award for Excellence in Teaching.

  • Chadhary, 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.
  • Dangi, B., Gamet, J., Kulm, A., Nelson, T., O’Brien, A., Pauli, W. (2019)
    Alert Prioritization and Strengthening: Towards an Industry Standard Priority Scoring System for IDS Analysts Using Open Source Tools and Models of Machine Learning”. South Dakota Law Review Journal.
  • O’Brien, Austin, “A Kernel Based Approach to Determine Atypicality” (2017). Theses and Dissertations. 1711. https://openprairie.sdstate.edu/etd/1711/
  • Miller, J., Gantz, D., Saunders, C., O’Brien, A., On Pramaetric Models for Pairwise Comparisons.
  • Min, M. O’Brien, A., Shin, S. (2010). Improved PSOR Algorithm for Minimum Power Multicast Tree Problem in Wireless Ad Hoc Networks. International Journal of Sensor Networks, Vol 8, Issue 3, 193-201.
  • Min, M., O’Brien, A. (2009). Lookahead Expansion Algorithm for Minimum Power Multicasting in Wireless Ad Hoc Networks. Wireless Algorithms, Systems and Applications, 70-79.
  • O’Brien, A. (2009). Optimality of Minimum Power Broadcasting in Wireless Ad Hoc Networks. South Dakota State University.
  • Min, M., O’Brien, A., Shin, S. (2009). Partitioning-Based SOR for Minimum Energy Multicast Tree Problem in Wireless Ad Hoc Networks. Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th International Conference, 1-6.
  • Min, M., O’Brien, A., Shin, S. (2008). SOR Revisited: Partitioning and Recovering After Shrinking. Computer Communications and Networks, 2008. ICCCN 2008. Proceedings of the 17th International Conference 1-6.

  • 2022. “The Current State of Artificial Intelligence and Where We’re Going”, Danebod Folk Meeting. Tyler, MN. Invited Talk.
  • 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 Leaders Conference. Sioux Falls, SD. Research Paper Presentation.
  • July 2019, “AI & Technology – Future Workforce”, Brookings Area Workforce Conference. Brookings, SD. Invited Talk.
  • July 2019, “Machine Learning Research Opportunities”, Research Experiences for Undergraduates Summer Program. Madison, SD. Invited Lecture.
  • 2018, “Using Atypicality to Identify Outliers”, SDSU Data Science Symposium. Brookings, SD.
  • 2017, “Atypicalities for Discovering Abnormalities in Multidimensional Data”, ICFIS, Minneapolis, MN, Invited Talk.
  • 2016, “Atypicalities for Discovering Abnormalities in Multidimensional Data”, Pittcon, Atlanta, GA, Invited Talk.
  • 2012, “Grapevine Phenotype Analysis,” South Dakota State University. Computational Science and Statistics Seminar, Invited Talk.
  • 2009, “Optimality of Minimum Power Broadcasting in Wireless Ad Hoc Networks,” South Dakota State University, Computer Science Seminar, Invited Talk.