About me

I am an Associate Professor of Computer Science at Edith Cowan University, in Perth, Western Australia. My research interests are in the applications of artificial intelligence and computational intelligence, particularly evolutionary design, AI and CI in games, sequence modeling, and artificial evolution.

Current professional activities

Associate Editor of IEEE Transactions on Computational Intelligence and AI in Games.

Committee Member: WA Chapter of the IEEE Computational Intelligence Society.
Chair of IEEE CIS Task Force on Co-evolution.
Member of IEEE CIS Games Techical Committee.
Member of IEEE CIS Standards Committee.
Member of IEEE CIS Student Game Based Competition sub-committee.
Member of IEEE CIS Pre-College Activities sub-committee.

Competitions Chair World Congress on Computational Intelligence, Brisbane, Australia, 10-15 June, 2012.
Program co-chair 2011 IEEE Conference of Computational Intelligence and Games, Seoul, Korea, August 31 to September 3, 2011.
Proceedings co-chair 2011 IEEE Congress on Evolutionary Computation , New Orleans, June 5-8, 2011.
Program committee member 11th International Conference on Parallel Problem Solving From Nature (PPSN 2010), Krakow, Poland, September 11-15, 2010.
Program committee member 2010 IEEE Conference on Computational Intelligence and Games, Copenhagen, August, 2010.

Member of the Walking Fish Group .

Publications since 2000

Edited books

Design by Evolution Philip F. Hingston, Luigi C. Barone and Zbigniew Michalewics (Editors), Natural Computing Series, Springer, ISBN 978-3-540-74109-1, March 2008.

Refereed Journal Publications since 2000

  1. C-S Cho, J-Y Park, A. Boeing, P. Hingston, An implementation of a garment-fitting simulation system using laser scanned 3D body data, to appear Computers in Industry, Special Issue on Computer Techniques in Design and Manufacturing of Soft Products, 2010.
  2. P. Hingston, A Turing Test for Computer Game Bots, IEEE Transactions on Computational Intelligence and AI In Games, Vol. 1, No. 3, September 2009.
  3. J. Sinclair, P. Hingston, M. Masek, K. Nosaka, Using a Virtual Body to Aid in Exergaming System Development, IEEE Computer Graphics and Applications, 29(2):39-48, 2009.
  4. J. Togelius, S.Lucas, H. Thang, J. Garibaldi, T. Nakashima, C.H. Tan, I. Elhanany, S. Berant, P. Hingston, R. MacCallum, T. Haferlach, A. Gowrisankar, P. Burrow, The 2007 IEEE CEC simulated car racing competition, Genetic Programming and Evolvable Machines, DOI: 10.1007/s10710-008-9063-0, Available online at http://www.springerlink.com/content/1vu834tvu5527r47, Springer, July 2008.
  5. Huband, S., Tuppurainen, D., While, L., Barone, L., Hingston, P. and Bearman, R., "Maximizing Overall Value in Plant Design, Minerals Engineering", Volume 19, Issue 15, pp 1470-1478, December, 2006.
  6. Huband, S., Hingston, P., Barone, L. and While, L. "A Review of Multi-objective Test problems and a Scalable Test Problem Toolkit", IEEE Transactions on Evolutionary Computation, Vol 10, Issue 5, October 2006.
  7. While, L., Hingston, P, Barone, L. and Huband, S. "A Faster Algorithm for Calculating Hypervolume", IEEE Transactions on Evolutionary Computation, Vol 10, Issue 1, February, 2006.
  8. While, L., Barone, L., Hingston, P., Huband, S., Tuppurainen, D. and Bearman, R. "A Multi-Objective Evolutionary Algorithm Approach for Crusher Optimisation and Flowsheet Design", Minerals Engineering, Special Issue on Comminution, 2004.

Refereed Conference Publications since 2000

  1. Hingston, P., "A New Design for a Turing Test for Bots", IEEE Conference on Computational Intelligence and Games, Copenhagen, August 2010.
  2. Creemers, W. and Hingston, P., "Hardware Implementation of the Self Assessment Manikin", Design and Emotion 2010, Chicago, October, 2010.
  3. Hingston, P., "Evolving Group Strategies for IPD", IEEE Congress on Evolutionary Computation, Barcelona, July, 2010.
  4. Zeng, F., Decraene, J., Low, M., Hingston, P., Wentong, C., Suiping, Z., Chandramohan, M., "Autonomous Bee Colony Optimization for Multi-objective Function", IEEE Congress on Evolutionary Computation, Barcelona, July, 2010.
  5. Hingston, P, Preuss, M. and Spierling, D., "RedTNet: A Network Model for Strategy Games", IEEE Congress on Evolutionary Computation, Barcelona, July, 2010.
  6. Sinclair, J., Hingston, P., and Masek, M., "Exergame Development using the Dual Flow Model", The 6th Australian Conference on Interactive Entertainment, Sydney, Australia, December 2009.
  7. Hingston, P., "Iterated Prisoner's Dilemma for Species", CIG'09, Milano, Italy, September 2009.
  8. Masek, M., Hingston, P., Carrigy, M., Collins, L., Nosaka, K., "Raising Heart Rate with Dance Pad Based Computer Games", Computer Games Multimedia & Allied Technology 09, Singapore, May 2009
  9. Wittkamp, M., Barone, L. and Hingston, P., "Using NEAT for Continuous Adaptation and Teamwork Formation in Pacman", CIG 2008, Perth, December 2008
  10. Gamhewa, S. and Hingston, P., "Testing Parallelization Paradigms for MOEAs", GECCO 2008, Atlanta, July 2008
  11. Soni, B. and Hingston, P., "Bots Trained to Play Like a Human are More Fun", IJCNN 2008, Hong Kong, June 2008
  12. Sinclair, J., Hingston, P., and Masek, M., "Considerations for the Design of Exergames", GRAPHITE 2007, Perth, December 2007
  13. Masek, M., and Hingston, P., "Use of Online Tools to Aid Groupwork", TILC2007 - Transformations and Technology, Perth, November, 2007
  14. Hingston, P., and Masek, M., "Explorations with Monte Carlo Othello", 2007 IEEE Congress on Evolutionary Computation, Singapore, September, 2007
  15. Hingston, P., "Evolving Players for an Ancient Game: Hnefetafl", 2007 IEEE Symposium on Computational Intelligence and Games, Hawaii, April, 2007
  16. Bradstreet, L., Barone, L., While, L., Huband, S. and Hingston, P., "Use of the WFG Toolkit and PISA for Comparison of MOEAs", 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making
  17. Huband, S., While, L., Tupperainen, D., Hingston, P., Barone, L., and Bearman, T., "Economic Optimisation of an Ore Processing Plant with a Constrained Multi-objective Evolutionary Algorithm", AI 2006: Advances in Artificial Intelligence: The 19th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science, Hobart, Tasmania, December 2006.
  18. P. Hingston, L. Barone, S. Huband, and L. While, "Multi-level Ranking for Constrained Multi-Objective Optimization", Parallel Problem Solving from Nature, PPSN IX, Lecture Notes in Computer Science, Vol 4193, pp 563-572, Reykjavik, Iceland, September 9-13, 2006
  19. P. Hingston, B. Combes, and M. Masek, "Teaching an Undergraduate AI Course with Games and Simulation", Edutainment 2006, Lecture Notes in Computer Science, 3942, pp 494-506, Springer, Hangzhou, April 2006.
  20. L. Barone, L. While, P. Hughes, and P. Hingston, Fixture-scheduling for the Australian Football League using a Multi-Objective Evolutionary Algorithm, IEEE Congress on Evolutionary Computation, Vancouver, BC, July 2006.
  21. Huband, S., Barone, L., Hingston, P., While, L., Tupperainen, D., and Bearman, R. "Designing Comminution Circuits with a Multi-Objective Evolutionary Algorithm", IEEE Congress on Evolutionary Computation (CEC'05), Edinburgh, Scotland, September, 2005.
  22. While, R., Bradstreet, L., Barone, L., and Hingston, P. "Heuristics for Optimising the Calculation of Hypervolume for Multi-Objective Optimisation Problems", IEEE Congress on Evolutionary Computation (CEC'05), Edinburgh, Scotland, September, 2005.
  23. Hingston, P. and Kendall, G. "Enumerating Knight's Tours using an Ant Colony Algorithm", IEEE Congress on Evolutionary Computation (CEC'05), Edinburgh, Scotland, September, 2005.
  24. Huband, S., Barone, L., Wile, L., and Hingston, P. "A Scalable Multi-objective Test Problem Toolkit", Evolutionary Multi-Criterion Optimization: Third International Conference, (EMO'05), Mexico, Lecture Notes in Computer Science, Springer, 2005.
  25. Hingston, P. and Combes, B. "Using Games and Simulation to Teach AI", In The Reflective Practitioner, Proceedings of the 14th Annual Teaching Learning Forum, 3-4 February 2005. Perth: Murdoch University.
  26. Hingston, P. and Kendall, G., "Learning versus Evolution in Iterated Prisoner's Dilemma", IEEE Congress on Evolutionary Computation (CEC'04), Portland, Oregon, July, 2004.
  27. Kendall, G, Yaakob, R. and Hingston, P., "An investigation of a co-evolutionary approach to the game of Go", IEEE Congress on Evolutionary Computation (CEC'04), Portland, Oregon, July, 2004.
  28. Hingston, P., and Kendall, G., "Ant Colonies Discover Knight's Tours", The 18th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, Springer, Cairns, December 2004.
  29. P. Hingston and L. Barone, "Hawks, Doves and Lifetime Reproductive Fitness", Parallel Problem Solving from Nature (PPSN), Lecture Notes in Computer Science, Springer, Birmingham, September 2004.
  30. Huband, S., Hingston, P., L. While and Barone, L., "An Evolution Strategy with Probabilistic Mutation for Multi-Objective Optimisation", IEEE Congress on Evolutionary Computation, Canberra, December, 2003.
  31. McAuley, T. and Hingston, P., "Algorithmic Composition in Contrasting Music Styles", International Computer Music Conference, ICMC 2003, Singapore, September, 2003
  32. Oliver, R., Wirski, R., Hingston, P. and Omari, A., "Exploring the reusability of Web-based learning resources", World Conference on Educational Media, Hypermedia and Telecommunications, ED-MEDIA 2003, Hawaii, June, 2003.
  33. Barone, L., While, L. and Hingston, P., "Designing Crushers with a Multi-Objective Evolutionary Algorithm", Genetic and Evolutionary Computation Conference, GECCO-2002, New York, July, 2002.
  34. Hingston, P., Barone, L. and While, L., "Evolving Crushers", IEEE Congress on Evolutionary Computation, Hawaii, May, 2002.
  35. Brogan, M, Hingston, P. and Wilson, V., "A Rich Storehouse for the Relief of Man's Estate? Education for Knowledge Management", The 2002 Information Resources Management Association (IRMA) International Conference, Seattle, Washington, USA, Pennsylvania, Idea Publishing Group, 2002. An expanded and updated version has also appeared as a book chapter (see below).
  36. Hingston, P., "Using Finite State Automata for Sequence Mining". Australian Computer Science Communications, Volume 24, IEEE Computer Society, Melbourne,January 2002.
  37. Hingston, P. and While, R.L., "A Dynamic Communication Algorithm for Digital Halftoning", Australian Computer Science Communications, Volume 24, IEEE Computer Society, Melbourne, January 2002.
  38. Hingston, P., "Inference of Regular Languages using Model Simplicity", Australian Computer Science Communications, Volume 23, Number 1, pp 69-76, IEEE Computer Society, Queensland, January 2001.
  39. Brogan, M, Hingston, P., and Wilson, V., "Determining the Boundaries: One View of the Place of Knowledge Management in Postgraduate LIS Education", IFLA'2001, Boston, August 2001.
  40. Hingston, P., "A Genetic Algorithm for Regular Inference", Genetic and Evolutionary Computation Conference, GECCO-2001, San Francisco, Morgan Kaufmann Publishers. July 2001.

Book Chapters

  1. P. Hingston, D. Dyer, L. Barone, T. French and G. Kendall, Opponent Modelling, Evolution, and the Iterated Prisoner's Dilemma, in X. Yao, G. Kendall and S.Y.Chong Eds. The Iterated Prisoner's Dilemma: Celebrating the 20th Anniversary, World Scientific, 2007.
  2. M.Brogan, P.Hingston and V. Wilson., "A Rich Storehouse for the Relief of Man's Estate? Education for Knowledge Management", In Garten, E. and Williams, D. (Eds), Advances in Library Administration & Organization, an imprint of JAI (Elsevier-Science, Oxford), Vol 19, 2002.

E-Journal papers

  1. Oliver, R., Hingston, P, Omari, A. and Brownfield, G., "Considerations for a Digital Repository", The Knowledge Pool, August 2002, available online at http://www.elearn.wa.edu.au/kp/
  2. Hingston, P., "Safety as a Knowledge Management Pilot", Journal of Knowledge Management Practice, January 2001, available online at http://www.tlainc.com/articl17.htm