School of Computer and Security Science

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Associate Professor Philip Hingston

Associate Professor

Staff Qualifications

• PG Dip in Computer Studies, The University of Melbourne .
• Bachelor of Science, The University of Western Australia .
• Doctor of Philosophy (Mathematics), Monash University, 1979 .

Research

Recent Research Grants

• Promoting Youth Mental Health Using Gaming Technology: An RCT Pilot Study,  Healthway (WA Health Promotion Foundation),  Healthway - Research Starter Grant(**),  2010,  $29,072.
• AE2 Simulation National Archives of Australia,  National Archives of Australia,  Grant - Ian Maclean Award(**),  2010,  $7,500.
• Literature and Computational Tool Review for Red Teaming,  Defence Science and Technology Organisation,  Grant(**),  2010,  $7,000.
• AE2 Simulation National Archives of Australia,  NATIONAL ARCHIVES OF AUSTRALIA,  Grant - Ian Maclean Award,  2009,  $7,500.
• Literature and Computational Tool Review for Red Teaming,  Defence Science and Technology Organisation,  Grant,  2009,  $3,000.
• Versatile Care @ Residential Environment - V-C@RE(tm),  Nortel Networks,  Grant - Development,  2009,  $49,374.
• Evolutionary Design for Ore Processing Plants,  University of Western Australia,  Grant - Linkage (Projects),  2005,  $55,912.
• Evolutionary Design for Ore Processing Plants,  University of Western Australia,  Grant - Linkage (Projects),  2004,  $116,282.

Recent Publications (within the last five years)

Journal Articles

• Li, J., Hingston, P., Kendall, G., (2011), Engineering design of strategies for winning iterated prisoner's dilemma competitions. IEEE Transactions on Computational Intelligence and AI in Games, 3(4), 348-360, DOI: 10.1109/TCIAIG.2011.2166268.
• Cho, C., Park, J., Boeing, A., Hingston, P., (2010), An implementation of a garment-fitting simulation system using laser scanned 3D body data. Computers in Industry, 61(6), 550-558,  Netherlands, DOI: 10.1016/j.compind.2010.03.00.
• Hingston, P., (2009), A Turing Test for Computer Game Bots. IEEE Transactions on Computational Intelligence and AI in Games, 1(3), 169-186, United States, DOI: 10.1109/TCIAIG.2009.2032534.
• Sinclair, JR., Hingston, P., Masek, M., Nosaka, K., (2009), Using a Virtual Body to Aid in Exergaming System Development. IEEE Computer Graphics and Applications, 29(2), 39-48, United States, DOI: 10.1109/MCG.2009.37.
• Togelius, J., Lucas, S., Thang, HD., Garibaldi, JM., Nakashima, T., Tan, CH., Elhanany, I., Berant, S., Hingston, P., Maccallum, RM., Haferlach, T., Gowrisankar, A., Burrow, P., (2008), The 2007 IEEE CEC simulated car racing competition. Genetic Programming and Evolvable Machines, 9(4), 295-329.

Conference Publications

• Beard, D., Hingston, P., Masek, M., (2012), Using Monte Carlo Tree Search for Replanning in a Multistage Simultaneous Game. Proceedings of 2012 IEEE Congress on Evolutionary Computation, 1-8.
• Hingston, P., Ranjeet, T., Lam, P., Masek, M., (2012), A Multimodal Problem for Competitive Coevolution. Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence, 338-349, Heidelberg, DOI: 10.1007/978-3-642-35101-3_29.
• Wittkamp, M., Barone, L., Hingston, P., While, L., (2012), Noise Tolerance for Real-time Evolutionary Learning of Cooperative Predator-Prey Strategies. 2012 IEEE Conference on Computational Intelligence and Games (CIG), 25-32, Piscataway, N.J..
• Ranjeet, T., Hingston, P., Lam, P., Masek, M., (2012), Evaluating Coevolution on a Multimodal Problem. GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion, 1469-1470, DOI: 10.1145/2330784.2330995.
• Wittkamp, M., Barone, L., Hingston, P., While, L., (2012), Real-Ttme Evolutionary Learning of Cooperative Predator-Prey Strategies. Proceedings of the Thirty-Fifth Australasian Computer Science Conference (ACSC 2012), 122(30 January - 3 February 2012), 81-90.
• Fanchao, Z., Decraene, J., Low, M., Cai, W., Zhou, S., Hingston, P., (2011), High-dimensional Objective-based Data Farming., 80-87.
• Ranjeet, T., Hingston, P., Lam, P., Masek, M., (2011), Analysis of Key Installation Protection using Computerized Red Teaming. Thirty-Fourth Australasian Computer Science Conference, 113(January 2011),  137-144,  Perth, Australia.
• Decraene, J., Low, M., Hingston, P., (2011), Evolving Tactical Plans for Strategy Games using Automated Red Teaming. 4th Annual International Conference on Computer Games Multimedia & Allied Technology (CGAT 2011) , 8p..
• Hingston, P., Preuss, M., (2011), Red teaming with coevolution. 2011 IEEE Congress on Evolutionary Computation, 1155-1163, DOI: 10.1109/CEC.2011.5949747.
• Zeng, F., Decraene, J., Low, MY., Cai, W., Hingston, P., (2011), Studies on Pareto-based multi-objective Competitive Coevolutionary Dynamics. Proceedings of the IEEE Congress on Evolutionary Computation, 2383-2390, DOI: 10.1109/CEC.2011.5949912.
• Ranjeet, T., Masek, M., Hingston, P., Lam, P., (2011), The effects of diversity maintenance on coevolution for an intransitive numbers problem. AI 2011: Advances in Artificial Intelligence. 24th Australasian Joint Conference. Proceedings, 7106 LNAI(5-8 December 2011 ), 331-340, DOI: 10.1007/978-3-642-25832-9_34.
• Sinclair, JR., Hingston, P., Masek, M., Nosaka, K., (2010), Testing an Exergame for Effectiveness and Attractiveness. Games Innovations Conference (ICE-GIC), 2010 International IEEE Consumer Electronics Society's, 1-8, Piscataway, N.J., DOI: 10.1109/ICEGIC.2010.5716909.
• Hingston, P., (2010), A New Design for a Turing Test for Bots. Computational Intelligence and Games (CIG), 2010 IEEE Symposium on, 345-350, Piscataway, N.J., DOI: 10.1109/ITW.2010.5593336.
• Creemers, W., Hingston, P., (2010), Hardware Implementation of the Self Assessment Manikin. Proceedings of the 7th International Conference on Design & Emotion , 1-10, Chicago, USA.
• Hingston, P., (2010), Evolving Group Strategies for IPD. Evolutionary Computation (CEC), 2010 IEEE Congress on, 2414-2420, Piscataway, N.J., DOI: 10.1109/CEC.2010.5586197.
• Zeng, F., Decraene, J., Low, M., Hingston, P., Wentong, C., Suiping, Z., Chandramohan, M., (2010), Autonomous Bee Colony Optimization for Multi-objective Function. Evolutionary Computation (CEC), 2010 IEEE Congress on, 1279-1286, Piscataway, N.J., DOI: 10.1109/CEC.2010.5586057.
• Hingston, P., Preuss, M., Spierling, D., (2010), RedTNet: A Network Model for Strategy Games. Evolutionary Computation (CEC), 2010 IEEE Congress on, 1-9, Piscataway, N.J., DOI: 10.1109/CEC.2010.5586505.
• Hingston, P., (2009), Iterated Prisoner's Dilemma for Species. IEEE Symposium on Computational Intelligence and Games, 2009. CIG 2009., 17-24, Piscatawa, NJ., DOI: 10.1109/CIG.2009.5286498.
• Masek, M., Hingston, P., Carrigy, M., Collins, L., Nosaka, K., (2009), Raising heart rate with dance pad based computer games. Proceedings Computer Games, Multimedia and Allied Technology 09, 245-252, Singapore.
• Sinclair, J., Hingston, P., Masek, M., (2009), Exergame development using the dual flow model. IE '09 Proceedings of the Sixth Australasian Conference on Interactive Entertainment, 7p., United States, DOI: 10.1145/1746050.1746061.
• Wittkamp, M., Barone, L., Hingston, P., (2008), Using NEAT for Continuous Adaptation and Teamwork Formation in Pacman. Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On, 234-242, Piscataway, N.J., DOI: 10.1109/CIG.2008.5035645.
• Gamhewa, S., Hingston, P., (2008), Testing Parallelization Paradigms for MOEAs. Genetic Algorithms and Evolutionary Computation Conference, 755-756, Online.
• Soni, B., Hingston, P., (2008), Bots Trained to Play Like a Human are More Fun. Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, 364-370, Piscataway, N.J., DOI: 10.1109/IJCNN.2008.4633818.

Research Student Supervision

Principal Supervisor

• Doctor of Information Technology,  A Feedback Control System For Exergames..

Associate Supervisor

• Doctor of Information Technology,  An Investigation Into The Use Of Neural Networks For The Prediction Of The Stock Exchange Of Thailand..