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Associate Professor Philip Hingston

Philip is an Associate Professor within the School of Science.

Qualifications

  • PG Dip in Computer Studies, The University of Melbourne.
  • Bachelor of Science, The University of Western Australia.
  • Doctor of Philosophy, Monash University, 1984.

Research

Recent Research Grants

  • Game based learning and educational data mining,  Edith Cowan University,  ECU Industry Collaboration Grant - 2014 (Round 1),  2014 - 2015,  $209,936.
  • Promoting Youth Mental Health Using Gaming Technology: An RCT Pilot Study,  Healthway (WA Health Promotion Foundation),  Healthway - Research Starter Grant,  2010 - 2012,  $29,072.
  • AE2 Simulation National Archives of Australia,  National Archives of Australia,  Grant - Ian Maclean Award,  2009 - 2011,  $21,000.
  • Versatile Care @ Residential Environment - V-C@RE(tm),  Nortel Networks,  Grant - Development,  2009 - 2010,  $49,374.
  • Literature and Computational Tool Review for Red Teaming,  Defence Science and Technology Group of the Department of Defence,  Grant,  2009 - 2010,  $10,000.
  • Evolutionary Design for Ore Processing Plants,  Australian Research Council,  Grant - Linkage (Projects),  2003 - 2005,  $232,994.

Recent Publications (within the last five years)

Journal Articles

  • Adi, E., Baig, Z., Hingston, P., (2017), Stealthy Denial of Service (DoS) Attack Modelling and Detection for HTTP/2 Services. Journal of Network and Computer Applications, 91(1 August 2017), 1-13, DOI: 10.1016/j.jnca.2017.04.015.
  • Adi, E., Baig, Z., Hingston, P., Lam, P., (2016), Distributed denial-of-service attacks against HTTP/2 services. Cluster Computing, 19(1), 79-86, Springer New York LLC, DOI: 10.1007/s10586-015-0528-7.
  • Pech, A., Masek, M., Lam, P., Hingston, P., (2016), Game level layout generation using evolved cellular automata. Connection Science, 28(1), 63-82, Taylor & Francis, DOI: 10.1080/09540091.2015.1130020.
  • Rastegari, S., Hingston, P., Lam, P., (2015), Evolving statistical rulesets for network intrusion detection. Applied Soft Computing Journal, 33(1 September 2015), 348-359, Elsevier Ltd, DOI: 10.1016/j.asoc.2015.04.041.
  • Ashlock, D., Brown, JA., Hingston, P., (2015), Multiple opponent optimization of prisoner's dilemma playing agents. IEEE Transactions on Computational Intelligence and AI in Games, 7(1), Article number 6819427, IEEE, DOI: 10.1109/TCIAIG.2014.2326012.

Conference Publications

  • Pech, A., Lam, P., Hingston, P., Masek, M., (2016), Using isovists to evolve terrains with gameplay elements. Applications of Evolutionary Computation, 9597(30 Mar - 1 Apr 2016), 636-652, Springer Verlag, DOI: 10.1007/978-3-319-31204-0_41.
  • Wheat, D., Masek, M., Lam, P., Hingston, P., (2016), Modeling perceived difficulty in game levels. Proceedings of the Australasian Computer Science Week Multiconference, Article no. a74, Australian Computer Society Inc., DOI: 10.1145/2843043.2843478.
  • Wheat, D., Masek, M., Lam, P., Hingston, P., (2015), Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation. Proceedings of the 2015 IEEE International Conference on Systems, Man and Cybernetics (SMC 2015), 2778-2785, Piscataway, N.J., IEEE, DOI: 10.1109/SMC.2015.485.
  • Ashlock, D., Hingston, P., McGuinness, C., (2015), Evolving point packings in the plane. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8955(5-7 Feb 2015), 297-309, Springer Verlag, DOI: 10.1007/978-3-319-14803-8.
  • Adi, E., Baig, Z., Lam, P., Hingston, P., (2015), Low-rate denial-of-service attacks against HTTP/2 services. 2015 5th International Conference on IT Convergence and Security (ICITCS): Proceedings, Article num 7292994, IEEE, DOI: 10.1109/ICITCS.2015.7292994.
  • Pech, A., Hingston, P., Masek, M., Lam, P., (2015), Evolving Cellular Automata for Maze Generation. Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, LNAI 8955(5-7 February 2015), 112-124, Springer, DOI: 10.1007/978-3-319-14803-8_9.
  • Rastegari, S., Lam, P., Hingston, P., (2015), A statistical rule learning approach to network intrusion detection. 2015 5th International Conference on IT Convergence and Security (ICITCS): Proceedings, Article no. 7292933, IEEE, DOI: 10.1109/ICITCS.2015.7292933.
  • Ashlock, D., Hingston, P., (2014), Tego - A framework for adversarial planning. Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, 13-20, Piscataway, N. J., IEEE, DOI: 10.1109/CEC.2014.6900498.

Research Student Supervision

Principal Supervisor

  • Doctor of Philosophy,  INTELLIGENT NETWORK INTRUSION DETECTION USING AN EVOLUTIONARY COMPUTATION APPROACH
  • Doctor of Philosophy,  ON THE RECOGNITION OF EMOTION FROM PHYSIOLOGICAL DATA
  • Doctor of Information Technology,  A FEEDBACK CONTROL SYSTEM FOR EXERGAMES.

Co-principal Supervisor

  • Doctor of Information Technology,  COEVOLUTIONARY ALGORITHMS FOR THE OPTIMIZATION OF STRATEGIES FOR RED TEAMING APPLICATIONS
  • Doctor of Philosophy,  DENIAL-OF-SERVICE ATTACK MODELLING AND DETECTION FOR HTTP / 2 SERVICES

Associate Supervisor

  • Doctor of Information Technology,  AN INVESTIGATION INTO THE USE OF NEURAL NETWORKS FOR THE PREDICTION OF THE STOCK EXCHANGE OF THAILAND.
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