Prof. Hussein A. Abbass

School of Engineering and Information Technology

University of New South Wales

Current Areas of Research Interest

• Application Areas: Civilian air traffic management and land transportation systems.
• Computational Intelligence: Artificial intelligence models (such as Neural networks and evolutionary computations) for optimization and data mining
• Computational Modelling: Intelligent computational environments for risk assessment and data mining.
• Computational Cognition: Computational models for linguistic and psychological processes including modelling Human-Machine Interaction
• Defence Operations Research

Appointments

• Full Professor of Information Technology (2007-Now), School of Engineering and Information Technology, University of New South Wales, Australia.
• Director of UNSW Centre (2005-2010): Defence and Security Applications Research Centre (DSARC), Australia.
• REC Member (2010): Australian Research Council, Mathematics, Information and Communication, Excellence of Research Australia.
• Expert Sub-committee Member (2008): National Collaborative Research infrastructure strategy (NCRIS) expert sub-committee on Safeguarding Australia.
• Expert Member (2008): Review Panel for DSTO Long Range Research (LRR) program, Australia.
• Member (2007-2009): Computing Research and Education Association of Australasia (CORE) Journal and Conference Ranking Committee, Australia.
• Visiting Professor (2005): Department of General Engineering, University of Illinois Urbana Champaign, USA.
• John Yu Fellowship (2004): Department of Computer Science, Imperial College London, UK.

Committee Membership

• Fellow: Australian Computer Society
• Fellow: Operational Research Society (UK)
• Graduate: Australian Institute of Company Directors
• Associate Fellow: Australian Institute of Management
• Senior Member: IEEE
• Chair: Australian Computer Society national committee on complex systems
• Sub-Committee Chair for Conference Liaison: the Australian Computer Society Artificial Intelligence Committee.
• Chair: The IEEE-NN-EC Task Force on Artificial Life and Complex Adaptive Systems.

Teaching

• A variety of IT and Operations Research Undergraduate and Postgraduate subjects including Strategic Decision Making, Capability Options Analysis, Decision Analysis, Knowledge Based Systems, Data Mining, Soft Computing, Modern Heuristic Techniques, Computational Optimisation, Management Science for Engineering, Artificial Intelligence.

Competitive Research Grants

Editorships

• Editor Board, Journal of Industrial and Management Optimization, American Institute of Mathematical Sciences, Since 2011.
• Associate Editor, IEEE Transactions on Evolutionary Computation, IEEE, Since 2010.
• Associate Editor, IEEE Computational Intelligence Magazine, IEEE, Since 2010.
• Associate Editor, The Arabian Journal for Science and Engineering (AJSE), Springer Verlag, Since 2012.
• Associate Editor, International Journal of Computational Intelligence and Applications (IJCIA), World scientific, Since 2012.
• Associate Editor, International Journal of Intelligent Computing and Cybernetics, Emerald, editorial board since 2007 and associate editor since 2009 [New Journal started in 2007].

Research Fellows

Current

• Dr. Sameer Alam, Senior Research Associate, Air Traffic Management, 5-Feruary-2007 to 19-January-2014.
• Mr. Jiangjun Tang, Research Associate, Environmental Impact of Air Traffic Management, 1-January-2011 to 31-December-2012.
• Dr. Deborah Tucek, Senior Research Associate, Linguistics, 15-March-2011 to 15-March-2013.
• Dr. Murray Mount, Senior Research Associate, Neuro-science, 15-March-2011 to 15-March-2013.

Alumni

• Dr. Vinh Quang Bui, Research Associate, Computational Storytelling, 15-September-2008 to 18-February-2012.
• Mr. Fan Qi, Software Developer, Computational Modelling, 15-February-2005 to 18-February-2012.
• Dr. Kamran Shafi, Senior Research Associate, Defence Logistics 14-July-2008 to 14-January-2012.
• Ms. Irina Coleman, Research Associate, Psychology, 15-March-2011 to 16-September-2011.
• Prof. Jing Lui, Research Associate, Networks and Complexity, 13-July-2009 to 12-July-2011.
• Dr. Weicai Zhong, Research Associate, Game Theory, 20-July-2009 to 17-December-2010.
• Mr. Ahmed Darwish, Software Developer, Computational Modelling, 16-February-2009 to 17-December-2010.
• Dr. Antony Iorio, Research Associate, Risk Attitude of Strategic Decision Makers, 2-March-2009 to 1-June-2010.
• Dr. James Whiteacre, Research Associate, Complex Systems and Defence Logistics, 27-August-2007 to 26-August-2009.
• Dr. Lam Bui, Research Associate, Evolutionary Risk Management, July-2007 to 15-August-2009.
• Dr. Minh Ha Nguyen, Research Associate, Complex Systems for Air Traffic Management, 7-August-2006 to 31-December-2007.
• Dr. Ang Yang, Research Associate, Defence and Security Risk Assessment, 30-June-2006 to 31-January-2007.
• Mr. Paul McCarthy, Software Developer, Computational Modelling, 10-July-2006 to 12-January-2007.
• Dr. Yubin Yang, Research Associate, Network Mining, 25-October-2005 to 24-October-2006.
• Dr. Yin Shan, Research Associate, Defence Logistics, 7-February-2005 to 6-February-2006.

Supervision of Higher Degree Research Students

• PhD. 2008-2011 Jiangjun Tang. Dynamic Sectorization of Air Traffic using Multi-objective Clustering. Principal supervisor with Chris Lokan and Sameer Alam co-supervisors.
• Ph.D. 2005-2011 Kuang-Yuan (Steven) Chen.A Methodology for Training XCS Agents to Optimise Team and Individual Performance on Path Planning Problems. External co-supervisor with Peter Lindsay principal. (University of Queensland)
• Ph.D. 2008-2011 Hendra Gunawan Harno.Evolutionary Method in the Design of Robust Control Systems. Co-supervisor with Ian R. Petersen principal.
• MSc. 2008-2010 Murad Hossain. Identification of Hard Instances and Backbones in 3-SAT using Network Theory and Network Guided Decomposition. Principal supervisor with Chris Lokan co-supervisor.
• CDF Program EE Honor Thesis 2009 Leon Purton. ADS-B Aircraft Trajectory Tracking in the Presence of Spoofing. Principal supervisor with S. Alam co-supervisor.
• Ph.D. 2005-2008 Kamran Shafi. An Online and Adaptive Signature Learning Approach for Intrusion Detection Using Learning Classifier Systems. Principal supervisor with Weibing Zhou co-supervisor [Lecture, School of Engineering and IT, UNSW@ADFA] [Thesis] (Received The Stephen Fester Prize for the most outstanding PhD thesis in Information Technology, UNSW@ADFA, University of New South Wales, 2008) [Thesis]
• Ph.D. 2005-2008 Sameer Alam. Evolving Complexity Towards Risk: A Massive Scenario Generation Approach for Evaluating Advanced Air Traffic Management Concepts. Principal supervisor with Michael Barlow and Peter Lindsay (UQ) co-supervisor [currently Senior Research Fellow, School of Engineering and IT, UNSW@ADFA] [Thesis] (Awarded the Victorian Fresh Scientist Prize for 2008) [Thesis]
• Ph.D. 2004-2008 Helen Dam. A scalable evolutionary learning classifier system for knowledge discovery in stream data mining. Principal supervisor with Chris Lokan co-supervisor [works at Raytheon Australia] [Thesis] (Received The Ria de Groot Prize for the most outstanding female post-graduate student, UNSW@ADFA, University of New South Wales for 2008) [Thesis]
• M.Sc. 2006-2008 Ayman Ghoneim. Local-global coupling in strategy games: extracting signatures and unfolding dynamics. Co-supervisor with Michael Barlow principal [work as a lecture, Cairo University] [Thesis]
• Ph.D. S1/2003-2008 Jennifer Badham. The Role of social network properties on the impact of direct contact epidemics.  Principal supervisor with Robert Stocker co-supervisor [Research Fellow, Integration and Implementation Sciences, College of Medicine, Biology and Environment, Australian National University] [Thesis]
• Ph.D. 2004-2007 Lam Thu Bui. The Role of Communication Messages and Explicit Niching in Distributed Evolutionary Multi-objective Optimization. Principal supervisor with Daryl Essam, David Green (Monash) and Kalyanmoy Deb (IT Kanpur) co-supervisors [Head of Software Engineering Department, Faculty of Information Technology, Le Quy Don Technical University – Hanoi, Vietnam] (Received The Stephen Fester Prize for the most outstanding PhD thesis in Information Technology, UNSW@ADFA, University of New South Wales for 2007) [Thesis]
• PhD 2003-2007 Ang Yang. A Networked Multi-Agent Combat Model: Emergence Explained.  Principal supervisor with Ruhul Sarker and Neville Curtis (DSTO) co-supervisors [works as a Senior Hydrological Modeller, CSIRO] [Thesis]
• Ph.D. 2002-2006   Minh Ha Nguyen. Cooperative coevolutionary mixture of experts : a neuro ensemble approach for automatic decomposition of classification problems. Principal supervisor with Bob McKay co-supervisor [works at Vietnam National University] [Thesis]
• Ph.D. 2001- 2005 Hoai Nguyen Xuan. A Flexible Representation for Genetic Programming: Lessons from Natural Language Processing. Co-supervisor with Bob Mckay principal and Daryl Essam co-supervisor [works at the Vietnamese Defence Academy, currently at Seoul National University] [Thesis]
• Ph.D. 2001- 2005 Yin Shan. Program Distribution Estimation with Grammar Models. Co-supervisor with Bob Mckay principal and Daryl Essam co-supervisor [works at Department of Human Services, Australia] [Thesis]
• Ph.D. 2001-2004 Paula Lennon. DNA costing. Co-supervisor with Brian Kinghorn principal and Gerard Davis co-supervisor, UNE [works at QUT]
• DIT 2001-2003 Jasen Teo. Pareto Multiobjective Evolution of Legged Embodied Organisms.  Principal supervisor [A/Prof and Deputy Dean at Universiti Malaysia Sabah] [Thesis]  

My Citations and H-Index [Google Profile]

Sample Journal Papers

• Alam S., Zhao W., Tang J., Lokan C., Ellejmi M., Kirby S. and Abbass H.A. (2012) Discovering Delay Patterns in Arrival Traffic with Dynamic Continuous Descent Approaches using Co-Evolutionary Red Teaming, Air Traffic Control Quarterly, to appear.
• Liu J., Abbass H.A., Green D.G., Zhong W. (2012) Motif Difficulty (MD): A Novel Predictive Measure of Problem Difficulty for Evolutionary Algorithms based on Network Motifs, Evolutionary Computation, MIT Press, accepted 17 March 2011.
• Shafi K. and Abbass H.A. (2012) Evaluation of an Adaptive Genetic-Based Signature Extraction System for Network Intrusion Detection, Pattern Analysis and Applications, Springer,accepted 23 November 2011, to appear
• Tang J., Alam S., Lokan C. and Abbass H.A. (2012) A Multi-Objective Approach for Dynamic Airspace Sectorization Using Agent Based and Geometric Models, Transportation Research Part C, Elsevier, 21(1), 89-121.
• Bui V., Pham V.V., Iorio A.W., Tang J., Alam S. and Abbass H.A. (2012) Bio-Inspired Robotics for Air Traffic Weather Information Management, The Transactions of the Institute of Measurement and Control, Sage, 34(2-3), 291-317.
• Bui L., Abbass H.A., Barlow M., and Bender A. (2012) Robustness Against the Decision-Maker's Attitude to Risk in Problems with Conflicting Objectives, IEEE Transactions on Evolutionary Computation, 16(1), 1-19.
• Abbass H.A. and Petraki E. (2011) The Causes for No Causation: A Computational Perspective, Information Knowledge Systems Management, IOS Press, Information • Knowledge • Systems Management, 10 (1-4), in press..
• Liu J., Abbass H.A., Zhong W., Green D.G. (2011) Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures, Artificial Life, MIT Press, 17(4), 263-279.
• Abbass H.A., Bender A., Gaidow S., and Whitbread P. (2011) Computational Red Teaming: Past, Present and Future, IEEE Computational Intelligence Magazine, IEEE Press, Volume 6, February 2011, Pages 30-42.
• Alam S., Nguyen M.H., H.A. Abbass, C. Lokan, M. Ellejmi and S. Kirby (2011) Multi-Aircraft Dynamic Continuous Descent Approach Methodology for Low Noise and Emission Guidance, AIAA Journal of Aircraft, 48(4), 1225-1237.
• Bui L.T., Liu J., Bender A., Barlow M., Wesolkowski S. and Abbass H.A. (2011) DMEA: a direction-based multiobjective evolutionary algorithm, Memetic Computing, Springer-Verlag, 3(4), 271-285.
• Zhong W., Abbass HA, Bender A, and Liu J. (2011) Mixed Strategy and Coevolution Dynamics in Social Networks, Physica A: Statistical Mechanics and its Applications, Elsevier,  390(2), Pages 410-417.
• Pham V.V., Tang J., Alam S., Lokan C., and Abbass H.A. (2010) Australian Aviation Emission Inventory Development and Analysis, Environmental Modelling & Software, Elsevier, 25(12), 1738-1753.
• Abbass H.A., Alam S., and Bender A. (2009) MEBRA: Multiobjective Evolutionary Based Risk Assessment, IEEE Computational Intelligence Magazine, IEEE Press, August 2009, Pages 29-36.
• Quek H.Y., Tan K.C., and Abbass H.A. (2009) Evolutionary Game Theoretic Approach for Modeling Civil Violence, IEEE Transactions on Evolutionary Computation, 13(4), Pages 1-21.
• Rojanavasu P., Dam H.H., Abbass H.A., Lokan C. and Pinngern O. (2009) A Self-Organized, Distributed, and Adaptive Rule-Based Induction System, IEEE Transactions on Neural Networks, 20(3), 446-459.
• Tan K.C., Quek H.Y., Goh C.K., and Abbass H.A. (2009) Evolution and incremental learning in the iterated prisoners dilemma, IEEE Transactions on Evolutionary Computation, 13(2), 303-320.
• Bui L., Abbass H.A., and Essam D. (2009) Localization for Solving Noisy Multi-objective Optimization Problems, Evolutionary Computations, MIT Press, 17(3), 379-409. 
• Alam S., Shafi K., H.A. Abbass and M. Barlow (2009)An Ensemble Approach for Conflict Detection in Free Flight by Data Mining, Transportation Research Part C, Elsevier, 17(3), 298-317.  
• Shafi K. and Abbass H.A. (2009) An Adaptive Genetic-Based Signature Learning System for Intrusion Detection, Expert Systems with Applications, Elsevier Science, 36(10), pp12036-12043. 
• Macrossan P.E., Kinghorn B.P., and Abbass H.A. (2009) Cyclic genotyping strategies III: Investigations into group genotyping. Journal of Animal Breeding and Genetics, 126(2), 117-126.
• Bui L., Abbass H.A. and Essam D. (2009) Local Models - an Approach to Distributed Multi-objective Optimization, Computational Optimization and Application Journal, 42(1), 105-139.
• Badham J., Abbass H.A., and Stocker R. (2008). Parameterisation of keeling’s network generation algorithm, Journal of Theoretical Population Biology, 74(2), 161-166.
• Dam H., Abbass H.A., Lokan C. and Yao X. (2008), Negative Correlation Learning for Neural-Based Learning Classifier Systems, IEEE Transactions on Data and Knowledge Engineering, vol 20(1), 26-39.
• Ghoneim A., Abbass H.A. and M. Barlow (2008), Characterizing Game Dynamics in 2-Player Strategy Games Using Network Motifs, IEEE Transactions on Systems, Man, Cybernetics, Part B, vol 38(3), 682-690.
• Alam S., Abbass H.A. and Barlow M. (2008), ATOMS: Air Traffic Operations and Management Simulator, IEEE Transactions on Intelligent Transportation, vol 9(2), 209-225.
• Nguyen M.H., Abbass H.A. and McKay R. (2008), Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition and Regularization, IEEE  Transactions on Systems, Man, Cybernetics, Part C, vol 38(1), 100-109.
• Bui L., Deb K., Abbass H.A. and Essam D. (2008), Interleaving Guidance in Evolutionary Multi-objective Optimization, Journal of Computer Science and Technology, 23(1), 4463.
• Shafi K. and Abbass H.A. (2007), Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection, Information Security Technical Reports, vol 12(4), 209-217, Elsevier Science.
• Nguyen M.H., Abbass H.A. and McKay R. (2006) A Novel Mixture of Experts Model Based on Cooperative Coevolution, Neurocomputing, Elsevier Science, Vol 1-3, 155-163.
• Yang A., Abbass H.A., and Sarker R (2006). Characterizing Warfare in Red Teaming, IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(1), 268-285.
• Teo J. and Abbass H.A. (2005) Multi-objectivity and Complexity in Embodied Cognition. IEEE Transactions on Evolutionary Computation, 9(4), pp. 337-360.
• Teo J. and Abbass H.A. (2004). Automatic Generation of Controllers for Embodied Legged Organisms: a Pareto Evolutionary Multi-Objective Approach. Evolutionary Computations, MIT Press, 12(3), pp. 355-394.
• Teo J. and Abbass H.A. (2004) Information-Theoretic Landscape Analysis of Neuro-Controlled Embodied Organisms. Neural Computing and Applications, Springer, 31(1), pp. 80-89.
• Abbass H.A. (2003) Speeding up Back-Propagation Using Multiobjective Evolutionary Algorithms, Neural Computation, MIT Press, vol. 15, No 11, 2705-2726.
• Teo J. and Abbass H.A. (2003). A True Annealing Approach to the Marriage in Honey-Bees Optimization Algorithm. The International Journal of Computational Intelligence and Applications, Volume 3, No 2, pp 199-208.
• McKay R. and Abbass H.A. (2003) Artificial Life: An Introduction. The International Journal of Computational Intelligence and Applications, Volume 3, No 2, pp 143-144.
• Teo J. and Abbass H.A. (2003) Search Space Difficulty of Evolutionary Neuro-Controlled Legged Robots. The International Journal of Knowledge Based and Intelligent Engineering Systems, Volume 7, No 3, 149-156.
• Abbass H.A. (2002). An evolutionary artificial neural networks approach for Breast Cancer Diagnosis. Artificial Intelligence in Medicine, Elsevier Science, vol 25/3 pp 265-281.
• Abbass H.A. (2002). An agent based approach to 3-SAT using marriage in honey-bees optimization. International Journal of Knowledge-Based and Intelligent Engineering Systems (KES), Vol. 6, No. 2, pp. 1-8.
• Abbass H.A., Towsey M., and Finn G. (2001). C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees, Knowledge and Information Systems: An International Journal (KAIS), Springer-Verlag, Vol. 5, No. 2.
• McKay R. and Abbass H.A. (2001) Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning. The Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol 7, No 3/4, pp 139-149.
• Wang B.B., McKay R.I., Abbass H.A. and Barlow M. (2001). Domain Ontology Guided Feature-Selection for Document Categorization. The Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol 7, No 3/4, pp 102-109.
• Abbass H.A., Wiggen G., Lakshmanan R. and Morton B. (1999). Constraint logic programming as a paradigm for heat exchanger network retrofit, The International Journal of Computers and Chemical Engineering, supplement volume of ESCAPE-9, PP.S127-S130.

Sample Conference Papers

• Alam S., Lokan C., and Abbass H.A. (2012) What can make an airspace unsafe? characterizing collision risk using multi-objective optimization, IEEE Congress on Evolutionary Computation, accepted 22 Feb 2012.
  
• Bui V., Bender A. and Abbass H.A. (2012) An Expressive GL-2 Grammar for Representing Story-like Scenarios, IEEE Congress on Evolutionary Computation, accepted 22 Feb 2012.
  
• Tang J., Alam S., Lokan C. and Abbass H.A. (2012) A Multi-objective Evolutionary Method for Dynamic Airspace Re-sectorization using Sectors Clipping and Similarities. IEEE Congress on Evolutionary Computation, accepted 22 Feb 2012.
  Xiong J., Shafi K. and Abbass H.A. (2012) Multi-Uncertainty Problems (MUP) with Applications to Managing Risk in Resource-Constrained Project Scheduling. IEEE Congress on Evolutionary Computation, accepted 22 Feb 2012.
• Abbass H.A., W.M. Mount, D. Tucek and JP Pinheiro (2011) Towards a Code of Best Practice for Evaluating Air Traffic control Interfaces, Australian Transport Research Forum, Adelaide, Australia.[Access Paper]
• Ghoneim A., Essam D., and Abbass H.A. (2011) On Computations and Strategies for Real and Artificial Systems, European Conference on Artificial Life, Paris, August 8-12
• Shafi K., Bender A., and Abbass H.A. (2011) Fleet Estimation for Defence Logistics Using a Multi-Objective Learning Classifier System, Genetic and Evolutionary Computation Conference, Dublin, Ireland, ACM Press.
• El-Fiqi H., Petraki E., and Abbass H.A. (2011) A Computational Linguistic Approach for the Identification of Translator Stylometry using Arabic-English Text, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Taiwan.
• Xiong J., Liu J., Chen Y., and Abbass H.A. (2011) An Evolutionary Multi-objective Scenario-Based Approach for Stochastic Resource Investment Project Scheduling, IEEE Congress on Evolutionary Computation (IEEE-CEC), New Orleans, USA.
• Bui L.T., Abbass H.A., Baker S., Barlow M., Bender A., and Saker R. (2011) Grid-Based Heuristic for Two-Dimensional Packing Problems, IEEE Congress on Evolutionary Computation (IEEE-CEC), New Orleans, USA.
• Ghoneim A., Essam D., and Abbass H.A. (2011) Competency Awareness in Strategic Decision Making, IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, Florida, USA, February, 2011.
• Alam S., Zhao W., Tang J., Lokan C., Abbass H.A., Ellejmi M. and Kirby S. (2011) Discovering Delay Patterns in Arrival Traffic with Dynamic Continuous Descent Approaches using Co-Evolutionary Red Teaming, 9th USA/EUROPE Air Traffic Management Research & Development Seminar (ATM R&D Seminar), Berlin, Germany, June 2011
• Leu G., Abbass H.A., and Curtis N. (2010) Resilience of ground transportation networks: A case study on Melbourne, Australian Transport Research Forum, Canberra, October, 2010. [Access Paper][Access Paper][Access Paper]
• Purton L., Abbass H.A., and Alam S. (2010) Identification of ADS-B System Vulnerabilities and Threats, Australian Transport Research Forum, Canberra, October, 2010. [Access Paper]
• Pham V., Bui L., Alam S., Lokan C. and Abbass H.A. (2010) A Pittsburgh Multi-Objective Classifier for User Preferred Trajectories and Flight Navigation, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Shafi K., Bender A. and Abbass H.A. (2010) Evolutionary Dynamics of Interdependent Exogenous Risks, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Boulden S., Iorio A. and Abbass H.A. (2010) Learning Synchronization Behaviours in Networked Complex Systems Using Genetic Algorithms, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Liu J., Zhong W., Abbass H.A. and Green D. (2010) Separated and Overlapping Community Detection in Complex Networks using Multiobjective Evolutionary Algorithms, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Hossain M.M., Abbass H.A., Lokan C. and Alam S. (2010) Adversarial Evolution: Phase Transition in Non-uniform Hard Satisfiability Problems, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Zhao W., Liu J.,  Abbass H.A. and Bender A. (2010) A Multi-objective Risk-Based Approach for Airlift Task Scheduling Using Stochastic Bin Packing, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Bui V., Abbass H.A. and Bender A. (2010) Evolving Stories: Grammar Evolution for Automatic Plot Generation, IEEE Congress on Evolutionary Computation (IEEE-CEC), Barcelona, Spain.
• Wang S.L., Shafi K., Lokan C. and Abbass H.A. (2010) Robustness of Neural Ensembles Against Targeted and Random Adversarial Learning, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Barcelona, Spain.
• Bui L.T., Wesolkowski S., Bender A., Abbass H.A. and Barlow M. (2009). A Dominance-based Stability Measure for Multi-Objective Evolutionary Algorithms, IEEE Congress on Evolutionary Computation (IEEE-CEC), Norway.
• Bui V.Q., Bui L.T., Abbass H.A., Bender A. and Ray P. (2009). On the Role of Information Networks in Logistics: An Evolutionary Approach with Military Scenarios, IEEE Congress on Evolutionary Computation (IEEE-CEC), Norway.
• Alam S., Tang J., Abbass H.A. and Lokan C.J. (2009) The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies, IEEE Congress on Evolutionary Computation (IEEE-CEC), Norway.
• Chen K.Y., Lindsay P.A., Robinson P.J. and Abbass H.A. (2009). A Hierarchical Conflict Resolution Method for Multi-Agent Path Planning, IEEE Congress on Evolutionary Computation (IEEE-CEC), Norway, 2009.
• H.A. Abbass, A. Bender, H. Dam, S. Baker, J. Whitacre and R. Sarker (2008), Computational Scenario-based Capability Planning, Genetic and Evolutionary Computation Conference, Atlanta, Georgia, ACM Press, 1437-1444.
• J. Whitacre, H.A. Abbass, R. Sarker, A. Bender and S. Baker (2008) Strategic Positioning in Tactical Scenario Planning, Genetic and Evolutionary Computation Conference, Atlanta, Georgia, ACM Press, 1081-1088.
  
• Bui L.T., Whitacre J. and Abbass H.A. (2008) Performance Analysis of Elitism in Multi-objective Ant Colony Optimization Algorithms, IEEE Congress on Evolutionary Computation (IEEE-CEC), Hong Kong, 1633-1640.
• Chen K.Y., Dam H., Lindsay P. and Abbass H.A. (2007) Biasing XCS with Domain Knowledge for Planning Flight Trajectories in a Moving Sector Free Flight Environment, IEEE Symposium on Artificial Life (IEEE-ALife), Honolulu, 1-4 April.
• Soliman O.S., Bui L. and Abbass H.A., (2007) The Effect of a Stochastic Step Length on the Performance of the Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (IEEE-CEC), Singapore, pp 2850-2857.
• Shafi K., Abbass H. and Zhu W. (2007) Real Time Signature Extraction During Adaptive Rule Discovery Using UCS, IEEE Congress on Evolutionary Computation (IEEE-CEC), Singapore, pp 2509-2516.
• Ghoneim A., Abbass H.A. and Barlow M. (2007) The Critical Point When Prisoners Meet the Minority: Local and Global Dynamics in Mixed Evolutionary Games, IEEE Congress on Evolutionary Computation (IEEE-CEC), Singapore, pp 3711-3718.
• Ghoneim A., Abbass H.A. and Barlow M. (2007) Investigating Alliance Dynamics Using a Co-evolutionary Iterated Prisoner's Dilemma with an Exit Option, IEEE Congress on Evolutionary Computation (IEEE-CEC), Singapore, pp 4065-4072.
• Greenwood G. and Abbass H.A. (2007) A New Local Search Algorithm for Continuous Spaces Based on Army Ant Swarm Raids, IEEE Congress on Evolutionary Computation (IEEE-CEC), Singapore, pp 1097-1102.
• Chen K.Y., Dam H., Lindsay P. and Abbass H.A. (2007) Biasing XCS with Domain Knowledge for Planning Flight Trajectories in a Moving Sector Free Flight Environment, IEEE Symposium on Artificial Life (IEEE-ALife), Honolulu, 1-4 April.
• C.K.Goh, H.Y.Quek, K.C.Tan, and H.A. Abbass (2006) Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach, The IEEE Congress on Evolutionary Computation (IEEE-CEC2006), Vancouver, BC, Canada, IEEE-Press, 1624-1631.
• Bui L.T., Branke J., and Abbass H.A. (2005) Diversity as a selection pressure in dynamic environments. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
• Dam H., Abbass H.A., and Lokan C. (2005) DXCS: an XCS system for distributed data mining. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
• McPartland M., Nolfi S., and Abbass H.A. (2005) Emergence of Communication in Competitive Multi-Agent Systems: A Pareto multi-objective approach. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
• Sastry K., Abbass H.A., Goldberg D., and Johnson D.D. (2005) Sub-structural niching in estimation distribution algorithms. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
• Bui L.T., Abbass H.A., and Essam D. (2005) Fitness inheritance for noisy evolutionary multi-objective optimization. Genetic and Evolutionary Computation Conference, Washington D.C., ACM Press.
• L.T. Bui, B. Juergen and H.A. Abbass (2005) Multiobjective optimization for dynamic environments. The IEEE Congress on Evolutionary Computation (IEEE-CEC), Edinburgh, UK, 2005, Vol. 3, 2349- 2356.
• H. Dam, H.A. Abbass, and C. Lokan (2005) The Performance of the DXCS System on Continuous-Valued Inputs in Stationary and Dynamic Environments. The IEEE Congress on Evolutionary Computation (IEEE-CEC), Edinburgh, UK, 2005, Vol.1, 618- 625.
• Y. Shan, R.I. McKay, R. Baxter, H.A. Abbass, D.L. Essam, and H X. Nguyen Grammar Model-based Program Evolution, Proceedings of the Congress on Evolutionary Computation (IEEE-CEC), Portland, Oregon, June, 2004.
• H.A. Abbass (2004) An Inexpensive Cognitive Approach for Bi-Objective Optimization Using Bliss Points and Interaction, The 8th International Conference on Parallel Problem Solving from Nature (PPSN), Birmingham, Lecture Notes in Computer Science LNCS 3242, Springer-Verlag, pp. 712-721.
• H.A. Abbass. Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization. The IEEE Congress on Evolutionary Computation (IEEE-CEC), IEEE-Press, Vol. 3, pages 2074-2080, Australia, 2003.
• H.A. Abbass, A.M. Bagirov, and J. Zhang. The Discrete Gradient Evolutionary Strategy Method for Global Optimization. The IEEE Congress on Evolutionary Computation (IEEE-CEC), IEEE-Press, Vol. 1, pages 435-442, Australia, 2003.
• J. Teo and H.A. Abbass. Elucidating the Benefits of a Self-Adaptive Pareto EMO Approach for Evolving Legged Locomotion in Artificial Creatures. The IEEE Congress on Evolutionary Computation (IEEE-CEC), IEEE-Press, Vol. 2, pages 755-762, Australia, 2003.
• Y. Shan, R.I. McKay, H.A. Abbass, and D. Essam. Program Evolution with Explicit Learning. The IEEE Congress on Evolutionary Computation (IEEE-CEC), IEEE-Press, Vol. 3, pages 1639-1646, Australia, 2003.
• B. Liu, R.I. McKay, and H.A. Abbass. Improving Genetic Classifiers with a Boosting Algorithm. The IEEE Congress on Evolutionary Computation (IEEE-CEC), IEEE-Press, Vol. 4, pages 2596-2602, Australia, 2003.
• J. Teo, M.H. Nguyen and H.A. Abbass. “Multi-Objectivity as a Tool for Constructing Hierarchical Complexity “, The Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003), Chicago, Lecture Notes in Computer Science LNCS2724, Springer-Verlag, 483-494, July, 2003.
• H.A. Abbass “Self-adaptive Pareto Differential Evolution”, The IEEE Congress on Evolutionary Computation (IEEE-CEC), 2002.
• H.A. Abbass, N.X. Hoai, and R.I. McKay “AntTAG: A new method to compose computer programs using colonies of ants”, The IEEE Congress on Evolutionary Computation (IEEE-CEC), 2002.
• H.A. Abbass “A Single Queen Single Worker Honey Bees Approach to 3-SAT”, The Genetic and Evolutionary Computation Conference, GECCO2001, San Francisco, USA, 2001.
• J. Teo and H.A. Abbass “Coordination and synchronization of locomotion in a virtual robot”. In Wang, L., Rajapakse, J., Fukushima, K., Lee, S., and Yao, X., editors, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), volume 4, pages 1931–1935, 2002.
• H.A. Abbass “Marriage in Honey Bees Optimisation: A Haplometrosis Polygynous Swarming Approach”, The IEEE Congress on Evolutionary Computation (IEEE-CEC), Seoul, Korea, 2001.
• H.A. Abbass, R. Sarkar, and C. Newton “PDE A pareto differential evolution approach to vector optimisation problems”, The IEEE Congress on Evolutionary Computation (IEEE-CEC), Seoul, Korea, 2001.
• P.E. Macrossan, H.A. Abbass, K. Mengersen, M. Towsey and G. Finn “Bayesian neural network learning for prediction in the Australian dairy industry”, Intelligent Data Analysis, Amsterdam, Lecture Notes in Computer Science LNCS1642, Springer-Verlag, 395-406, August, 1999.

Invited Talks

• Invited Speaker: Australian Data Mining Conference, ADM 2011, December 2011, Victoria, "Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models".
• Invited Speaker: Network Centric Warfare, NCO Asia 2011, September 2011, Singapore, "Network Based Planning And Computational Red Teaming".
• Invited Speaker: Doctoral Intensive Summer School on meta-heuristics in optimization and intelligent data analysis, 21-26 June, 2011, Alexandru Ioan Cuza, Romania.
• Invited Speaker: The IEEE World Congress on Computational Intelligence, WCCI 2010, 18-23 July 2010, Barcelona, Spain, "Evolutionary Computation for Risk Assessment and Management".
• Invited speaker: the International Civil Aviation Organization (ICAO) Reduced Vertical Separation Minimum Safety Seminar, Bahrain, Feb 2010
• Invited Speaker: Network Centric Warfare, NCW 2010, 28-30 April 2010, Canberra, Australia, "Outlining The Risk Assessment Of Networked Environments".
• Invited Speaker: Platform Technologies Research Institute Annual Symposium, PTRI 09, 14-15 July, 2009, "Computational Red Teaming and Cyber Challenges".
• Invited Speaker: The IEEE Symposium: Computational Intelligence for Security and Defence Applications, CISDA 2009, 8-10 July 2009, Ottawa, Canada, "Forward, Reverse and Emerging Dynamics: Can Complex Adaptive Systems Play a Game with the Unknown?".
• Invited Speaker: The 14th International Symposium on Artificial Life and Robotics, AROB 2009, 5-7 February 2009, Beppu, Oita, Japan, "The Role of Non-Dominance in Artificial Life and Robotics".
• Invited Speaker: The 7th International Conference on Simulated Evolution and Learning, SEAL 2008, 7-10 December 2008, Melbourne, Australia, "The Future of Intelligent Systems is Non-Dominance".
• Invited Speaker: The 12th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 7-8 December 2008, Melbourne, Australia, "The Future of Intelligent Systems is Non-Dominance".
• Keynote: Operations Research in Australia: The Experts Speak, Canberra, Australia, 7-8 July, 2008, "Structuring the strategic scenario planning process".
• Invited Speaker: 3rd International Nonlinear Science Conference, Chuo University, Tokyo, Japan, 13-15 March, 2008, “Characterising and Understanding dynamics in reactive heterogeneous multi-agent systems”.
• Invited Speaker at the Defence and Security track of Complex ’07, Gold Coast, Australia, “Signatures of Game Dynamics for Intelligence and Information Operation”.
• Invited Speaker at the International Seminar Series, Intelligent Robot Research Centre, Advanced Institute of Science and Technology (KAIST), Korea, November 2006 “Recent Advances on Artificial Life and Adaptive Robotics”.
• Invited Speaker at the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 6-7 Dec 2004, Cairns, Australia “The lone thinker of Celigny in learning and agent systems”.
• Department of Veterans' Affairs, Australia, “Data Mining”, 21/10/2003.
• DPI, Australia, 20/09/1998. “Introducing Neural Networks for the Dairy Industry”, a talk was given in The Dept. of Primary Industries, Workshop for extensions, Sunshine Coast.

Conference Chair [incomplete]

• General chair: The IEEE Congress on Computational Intelligence, Brisbane, June 10-15, 2012.
• General co-chair, The Australisian Conference on Artificial Intelligence, Perth, 2011.
• Program co-chair: The IEEE International Conference on Artificial Life, Honolulu, Apr 2007.
• Technical co-chair: The IEEE Congress on Evolutionary Computation, CEC’07, Singapore, September 2007.
• Conference co-chair: The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Complexity and Nonlinear Dynamics, Adelaide, 2006.
• Technical co-chair: The 6th International Conference on Simulated Evolution and Learning (SEAL'06), Heifa, China, October, 2006.
• Conference co-chair: The Second Australian Conference on Artificial Life (ACAL 05), Sydney, Australia, 2005.
• Vic general chair and proceedings co-chair: IEEE Congress on Evolutionary Computation, Canberra, Australia, 2003.
• General co-chair: “The Australian Conference on Artificial Life (ACAL)”, Canberra, Australia, 2003.
• Organising chair and program committee member: “The Australian National Joint Conference on Artificial Intelligence (AI’02)”, Canberra, Australia, 2002.
• Invited stream chair for data mining: “IFORS2002: The Sixteenth Triennial Conference of the International Federation of Operational Research Societies”, Edinburgh, UK, 2002.
• Special session co-chair on swarm intelligence: “4th Asia-Pacific Conference on Simulated Evolution and Learning”, Singapore, 2002.
• Program chair: “The ADFA Computer Science Post-graduate Conference”, 2001.