Professor Hussein Abbass

School of Engineering and Information Technology


Building 15 Room 103
School of Engineering and Information Technology, The University of New South Wales, Australian Defence Force Academy, PO Box 7916, Canberra BC ACT 2610, AUSTRALIA


Hussein Abbass is a Professor with the School of Engineering and Information Technology.

More information about Prof. Hussein Abbass can be found in his personal webpage at

If interested in Computational Red Teaming, please click HERE


If interested in Trusted Autonomy, please click HERE


Prof. Abbass has collaborated with many colleagues at UNSW including Dr. Sreenatha Anavatti, Dr. Michael (Spike) Barlow, A/Prof. Matthew Garratt, A/Prof. Chris Lokan, Dr. Robert (Bob) McKay, A/Prof. Kathryn Kasmarik, Prof. Ruhul Sarker, Dr. Hemant Singh, Dr. Saber ElSayed, Dr Essam Debie, Dr. Jiangjun Tang, Dr. Heba El-Fiqi


Liu J; Abbass HA; Tan KC, 2018, Evolutionary Computation and Complex Networks,

2016, Recent Advances in Computational Intelligence in Defense and Security, Springer International Publishing,

Abbass HA, 2014, Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems, Springer, Switzerland,

Green DG; Liu J; Abbass HA, 2014, Dual Phase Evolution, Springer,

Book Chapters

Kasmarik K; Liu X; Abbass H, 2021, 'Design and Validation of a Mini-Game for Player Motive Profiling', in Women in Computational Intelligence

Yaxley KJ; Joiner K; Abbass H; Bogais J, 2020, 'Life-learning of smart autonomous systems for meaningful human-autonomy teaming', in Handley H; Tolk A (ed.), A Framework for Human System Engineering: Applications and Case Studies, IEEE Wiley, pp. 43 - 61,

Abbass HA, 2020, 'An Introduction to Neuroergonomics: From Brains at Work to Human-Swarm Teaming', in Cognitive Science and Technology, pp. 3 - 10,

Wang M; Abbass H; Hu J, 2018, 'EEG-based biometrics for person identification and continuous authentication', in Awad AI; Fairhurst M (ed.), Information Security Foundations Technologies and Applications, IET,

Abbass HA; Scholz J; Reid DJ, 2018, 'Foundations of Trusted Autonomy Preface', in Abbass HA; Scholz J; Reid DJ (ed.), FOUNDATIONS OF TRUSTED AUTONOMY, SPRINGER INTERNATIONAL PUBLISHING AG, pp. IX - IX,

Abbass HA; Scholz J; Reid DJ, 2018, 'Foundations of trusted autonomy: An introduction', in Foundations of Trusted Autonomy, Springer, pp. 1 - 12,

Edited Books

Abbass H; Scholz J; Reid DR, (eds.), 2018, Foundations of Trusted Autonomy, Springer International Publishing,

Sammut C; Webb GI, (ed.), 2010, Artificial Life., Springer,

Journal articles

El-Fiqi H; Wang M; Kasmarik K; Bezerianos A; TAN KC; Abbass H, 2021, 'Weighted gate layer autoencoders', IEEE Transactions on Cybernetics

Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjel R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', 2020 IEEE Symposium Series on Computational Intelligence (SSCI),

Yaxley KJ; Joiner K; Abbass H, 2020, 'Compassionate Design Processes Developing Low-Stress Sky Shepherding for Farmers (submitted)', Scientific Reports

Hussein A; Elsawah S; Abbass HA, 2020, 'Trust Mediating Reliability–Reliance Relationship in Supervisory Control of Human–Swarm Interactions', Human Factors, vol. 62, pp. 1237 - 1248,

Hussein A; Elsawah S; Abbass HA, 2020, 'The reliability and transparency bases of trust in human-swarm interaction: principles and implications', Ergonomics, vol. 63, pp. 1116 - 1132,

Wang M; Hu J; Abbass HA, 2020, 'BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs', Pattern Recognition, vol. 105, pp. 107381 - 107381,

Abbass H, 2020, 'Interview with Founding Editor-in-Chief of IEEE Transactions on Artificial Intelligence', IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, vol. 15, pp. 4 - 8,

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass HA, 2020, 'A Comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, pp. 523 - 537,

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments', Frontiers in Neuroscience, vol. 14,

Dam T; Anavatti SG; Abbass HA, 2020, 'Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification', IEEE Geoscience and Remote Sensing Letters, pp. 1 - 5,

El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass HA, 2020, 'The Limits of Reactive Shepherding Approaches for Swarm Guidance', IEEE Access, vol. 8, pp. 214658 - 214671,

Vahidnia S; Abbasi A; Abbass H, 2020, 'A Framework for Understanding the Dynamics of Science: A Case Study on AI', Procedia Computer Science,

2020, 'IEEE SSCI 2020', IEEE Computational Intelligence Magazine, vol. 15, pp. C4 - C4,

Wang M; El-Fiqi H; Hu J; Abbass HA, 2019, 'Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States', IEEE Transactions on Information Forensics and Security, vol. 14, pp. 3359 - 3372,

Abbass HA, 2019, 'Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust', Cognitive Computation, vol. 11, pp. 159 - 171,

El-Fiqi H; Petraki E; Abbass HA, 2019, 'Network motifs for translator stylometry identification', PLoS ONE, vol. 14, pp. e0211809,

Fernandez-Rojas R; Perry A; Singh H; Campbell B; Elsayed S; Hunjet R; Abbass HA, 2019, 'Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey', IEEE Access, vol. 7, pp. 33304 - 33328,

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics

Greenwood GW; Abbass HA; Petraki E, 2018, 'When is altruistic punishment useful in social dilemmas?', BioSystems, vol. 174, pp. 60 - 62,

Abbass HA; Fogel GB; Fidock J, 2018, 'Corrections to: Guest Editorial: Special Issue on Human-Machine Symbiosis (IEEE Transactions on Emerging Topics in Computational Intelligence (2018) 2:4 (246-248) DOI: 10.1109/TETCI.2018.2853518)', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, pp. 410,

Goh SK; Abbass HA; Tan KC; Al-Mamun A; Thakor N; Bezerianos A; Li J, 2018, 'Spatio-spectral representation learning for electroencephalographic gait-pattern classification', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, pp. 1858 - 1867,

Abbass HA; Fogel G; Fidock J, 2018, 'Guest Editorial: Special Issue on Human-Machine Symbiosis', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, pp. 246 - 248,

Xiao M; Cai K; Abbass HA, 2018, 'Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China', Transportation Research Part E: Logistics and Transportation Review, vol. 115, pp. 35 - 55,

Keshk M; Singh H; Abbass H, 2018, 'Automatic estimation of differential evolution parameters using Hidden Markov Models', Evolutionary Intelligence, vol. 10, pp. 77 - 93,

Tang J; Leu G; Abbass HA, 2018, 'Networking the Boids Is More Robust Against Adversarial Learning', IEEE Transactions on Network Science and Engineering, vol. 5, pp. 141 - 155,

Wang K; Bui V; Petraki E; Abbass H, 2018, 'Human–Guided Evolutionary Story Narration', IEEE Access, vol. 99, pp. 13783 - 13802,

Harvey J; Merrick K; Abbass H, 2018, 'Assessing Human Judgement of Computationally Generated Swarming', Frontiers Robotics and AI, vol. 5,

Yang Z; Merrick K; Abbass H, 2018, 'Hierarchical Deep Reinforcement Learning for Continuous Action Control', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 5174 - 5184,

Goh SK; Abbass HA; Tan KC; Al-Mamun A; Wang C; Guan C, 2017, 'Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, pp. 270 - 279,

Zhang B; Shafi K; Abbass H, 2017, 'On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization', International Journal of Computational Intelligence and Applications, vol. 16,

Wang SL; Shafi K; Ng TF; Lokan C; Abbass HA, 2017, 'Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, pp. 27 - 40,

Gee SB; Tan KC; Abbass HA, 2017, 'A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization', IEEE Transactions on Cybernetics, vol. 47, pp. 461 - 472,

Shafi K; Abbass HA, 2017, 'A Survey of Learning Classifier Systems in Games', IEEE Computational Intelligence Magazine, vol. 12, pp. 42 - 55,

Liu X; Merrick K; Abbass H, 2017, 'Towards Electroencephalographic Profiling of Player Motivation: A Survey', IEEE Transactions on Cognitive and Developmental Systems, vol. 10, pp. 499 - 513,

Ghoneim A; Abbass HA, 2016, 'A multiobjective distance separation methodology to determine sector-level minimum separation for safe air traffic scenarios', European Journal of Operational Research, vol. 253, pp. 226 - 240,

Leu G; Abbass H, 2016, 'A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents', Knowledge-Based Systems, vol. 105, pp. 1 - 22,

El-Fiqi H; Petraki E; Abbass HA, 2016, 'Pairwise Comparative Classification for Translator Stylometric Analysis', ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 16, pp. 1 - 26,

Abbass H; Greenwood G; Petraki E, 2016, 'The N-Player Trust Game and its Replicator Dynamics', IEEE Transactions on Evolutionary Computation, vol. 20, pp. 470 - 474,

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