Shane Strasser

Computer Science

Current Courses

Education History

  • BS Computer Science, University of Sioux Falls
  • M.S. Computer Science, Montana State University
  • PHD Computer Science, Montana State University

Work Experience

Senior Software Engineer, Oracle

Publications

- Shane Strasser, John Sheppard, Michael Schuh, Rafal Angryk, and Clemente Izurieta. Graph-based ontology-guided data mining for d-matrix model maturation. In Aerospace Conference, 2011 IEEE , pages 1–12. IEEE, 2011.

- Shane Strasser and John Sheppard. Diagnostic alarm sequence maturation in timed failure propagation graphs. In 2011 IEEE AUTOTESTCON , pages 158–165. IEEE, 2011.

- Shane Strasser, Colt Frederickson, Kevin Fenger, and Clemente Izurieta. An automated software tool for validating design patterns. In INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN INDUSTRY AND ENGINEERING , pages 322–327. Intl. Society for Computers and Their Application, 2011.

- Michael Schuh, John Sheppard, Shane Strasser, Rafal Angryk, and Clemente Izurieta. Ontology-guided knowledge discovery of event sequences in maintenance data. In 2011 IEEE AUTOTESTCON , pages 279–285. IEEE, 2011.

- Shane Strasser, Eben Howard, and John Sheppard. An integrated toolset for ontology-guided diagnostic knowledge discovery. In 2012 IEEE AUTOTESTCON Proceedings , pages 280–290. IEEE, 2012.

- Shane Strasser and John Sheppard. An empirical evaluation of bayesian networks derived from fault trees. In 2013 IEEE Aerospace Conference , pages 1–13. IEEE, 2013.

- Shane Strasser and John Sheppard. Diagnostic model maturation. IEEE Aerospace and Electronic Systems Magazine , 28(1):34–43, 2013.

- Michael Schuh, John Sheppard, Shane Strasser, Rafal Angryk, and Clemente Izurieta. An ieee standards-based visualization tool for knowledge discovery in maintenance event sequences. IEEE Aerospace and Electronic Systems Magazine , 28(7):30–39, 2013.

- Nathan Fortier, John Sheppard, and Shane Strasser. Learning bayesian classifiers using overlapping swarm intelligence. In 2014 IEEE Symposium on Swarm Intelligence , pages 1–8. IEEE, 2014.

- Nathan Fortier, John Sheppard, and Shane Strasser. Abductive inference in bayesian networks using distributed overlapping swarm intelligence. Soft Computing , 19(4):981–1001, 2015.

- Nathan Fortier, John Sheppard, and Shane Strasser. Parameter estimation in bayesian networks using overlapping swarm intelligence. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation , pages 9–16. ACM, 2015. 1

- Logan Perreault, Monica Thornton, Shane Strasser, and John W Sheppard. Deriving prognostic continuous time bayesian networks from d-matrices. In 2015 IEEE AUTOTESTCON , pages 152–161. IEEE, 2015.

- Rollie Goodman, Monica Thornton, Shane Strasser, and John W Sheppard. Micpso: A method for incorporating dependencies into discrete particle swarm optimization. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI) , pages 1–8. IEEE, 2016.

- Logan Perreault, Shane Strasser, Monica Thornton, and John Sheppard. A noisy-or model for continuous time bayesian networks. In The Twenty Ninth International Flairs Conference , 2016.

- Stephyn Butcher, Shane Strasser, Jenna Hoole, Benjamin Demeo, and John Sheppard. Relaxing consensus in distributed factored evolutionary algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference 2016 , pages 5–12. ACM, 2016.

- Shane Strasser, Rollie Goodman, John Sheppard, and Stephyn Butcher. A new discrete particle swarm optimization algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference 2016 , pages 53–60. ACM, 2016. 2

- Shane Strasser, John Sheppard, Nathan Fortier, and Rollie Goodman. Factored evolutionary algorithms. IEEE Transactions on Evolutionary Computation , 21(2):281–293, 2016.

- John W Sheppard and Shane Strasser. A factored evolutionary optimization approach to bayesian abductive inference for multiple-fault diagnosis. In 2017 IEEE AUTOTESTCON , pages 1–10. IEEE, 2017.

- Shane Strasser, John Sheppard, and Stephyn Butcher. A formal approach to deriving factored evolutionary algorithm architectures. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) , pages 1–8. IEEE, 2017.

- Shane Strasser and John W Sheppard. Convergence of factored evolutionary algorithms. In Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms , pages 81–94. ACM, 2017.

- Shane Strasser and John W Sheppard. Evaluating factored evolutionary algorithm performance on binary deceptive functions. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) , pages 1–8. IEEE, 2017.

- Shane Tyler Strasser et al. Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap . PhD thesis, Montana State University Bozeman, College of Engineering, 2017.

- John W Sheppard and Shane Strasser. Multiple fault diagnosis using factored evolutionary algorithms. IEEE Instrumentation & Measurement Magazine , 21(4):27–38, 2018.

- Stephyn GW Butcher, John W Sheppard, and Shane Strasser. Pareto improving selection of the global best in particle swarm optimization. In 2018 IEEE Congress on Evolutionary Computation (CEC) , pages 1–8. IEEE, 2018.

- Stephyn GW Butcher, John W Sheppard, and Shane Strasser. Information sharing and conflict resolution in distributed factored evolutionary algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference , pages 5–12. ACM, 2018.