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Conference Papers

Hussein A; Petraki E; Elsawah S; Abbass H, 2022, 'Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning', in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Association for Computing Machinery (ACM), Virtual Event New Zealand, presented at International Conference on Autonomous Agents and Multiagent Systems, Virtual Event New Zealand, 09 May 2022 - 13 May 2022, https://dl.acm.org/doi/abs/10.5555/3535850.3535922

Mandziuk J; Abbass H, 2021, 'Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports]', in IEEE Computational Intelligence Magazine, pp. 5 - 8, http://dx.doi.org/10.1109/MCI.2021.3108355

Dam T; Ferdaus MM; Anavatti SG; Jayavelu S; Abbass HA, 2021, 'Does Adversarial Oversampling Help us?', in International Conference on Information and Knowledge Management, Proceedings, pp. 2970 - 2973, http://dx.doi.org/10.1145/3459637.3482091

Baxter D; Hepworth A; Joiner K; Abbass H, 2021, 'On the Premise of a Swarm Guidance Ontology for Human-Swarm Teaming', Baltimore, United States, presented at 65th Annual Conference of Human Factors and Ergonomics Society (HFES21), Baltimore, United States, 04 October 2021 - 08 October 2021

Mohamed RE; Elsayed S; Hunjet R; Abbass H, 2021, 'A Graph-based Approach for Shepherding Swarms with Limited Sensing Range', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, IEEE, pp. 2315 - 2322, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504706

Mohamed RE; Hunjet R; Elsayed S; Abbass H, 2021, 'Deep Learning for Noisy Communication System', in 2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021, IEEE, pp. 40 - 47, presented at 2021 31st International Telecommunication Networks and Applications Conference (ITNAC), 24 November 2021 - 26 November 2021, http://dx.doi.org/10.1109/ITNAC53136.2021.9652171

Debie E; Singh H; Elsayed S; Perry A; Hunjet R; Abbass H, 2021, 'A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE, pp. 2634 - 2641, presented at 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 17 October 2021 - 20 October 2021, http://dx.doi.org/10.1109/SMC52423.2021.9659082

Mccall F; Hussein A; Petraki E; Elsawah S; Abbass H, 2021, 'Towards a systematic educational framework for human-machine teaming', in TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings, IEEE, pp. 375 - 382, presented at 2021 IEEE International Conference on Engineering, Technology & Education (TALE), 05 December 2021 - 08 December 2021, http://dx.doi.org/10.1109/TALE52509.2021.9678853

Liu J; Hussein A; Anavatti S; Garratt M; Abbass HA, 2021, 'UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, IEEE, presented at 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 05 December 2021 - 07 December 2021, http://dx.doi.org/10.1109/SSCI50451.2021.9659847

Mańdziuk J; Abbass H, 2021, 'Welcome Message', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. i, http://dx.doi.org/10.1109/CEC45853.2021.9504913

Nguyen HT; Garratt M; Bui LT; Abbass H, 2020, 'Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise during Swarm Guidance', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, IEEE, pp. 2257 - 2264, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308448

Hepworth AJ; Yaxley KJ; Baxter DP; Joiner KF; Abbass H, 2020, 'Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2217 - 2224, http://dx.doi.org/10.1109/SSCI47803.2020.9308537

Abbass H; Coello CA; Singh HK, 2020, 'Welcome Message', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308444

Hussein A; ELsawah S; Abbass H, 2020, 'A System Dynamics Model for Human Trust in Automation under Speed and Accuracy Requirements', in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting Human Factors and Ergonomics Society. Annual Meeting, SAGE Publications, Seattle, Washington, USA, presented at 63rd Annual Meeting of the Human Factors and Ergonomics Society, Seattle, Washington, USA, 28 October 2020 - 01 November 2019, http://dx.doi.org/10.1177/1071181319631167

Hussein A; Elsawah S; Abbass H, 2020, 'Investigating Gender Differences in Human Interactions with a Transparent Swarm', in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting Human Factors and Ergonomics Society. Annual Meeting, SAGE Publications, SAGE Publications Sage CA: Los Angeles, CA, pp. 853 - 857, presented at 63rd Annual Meeting of the Human Factors and Ergonomics Society, SAGE Publications Sage CA: Los Angeles, CA, 28 October 2020 - 01 November 2019, http://dx.doi.org/10.1177/1071181319631009

Hussein A; Elsawah S; Abbass HA, 2020, 'Swarm collective wisdom: A fuzzy-based consensus approach for evaluating agents confidence in global states', in IEEE International Conference on Fuzzy Systems, http://dx.doi.org/10.1109/FUZZ48607.2020.9177680

Hussein A; Elsawah S; Abbass HA, 2020, 'Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models', in Proceedings of the 53rd Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, Hawaii, USA, presented at Hawaii International Conference on System Sciences, Hawaii, USA, 07 January 2020, http://dx.doi.org/10.24251/hicss.2020.047

Vahidnia S; Abbasi A; Abbass HA, 2020, 'Document clustering and labeling for research trend extraction and evolution mapping', in CEUR Workshop Proceedings, pp. 54 - 62

Nguyen T; Liu J; Nguyen H; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow

Nguyen H; Nguyen T; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass H, 2019, 'A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms', in Gedeon T; Wong KW; Lee M (eds.), Lecture Notes in Computer Science. Neural Information Processing. Proceedings, Part 1, Springer, Cham, Sydney, pp. 658 - 669, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36708-4_54

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Abbass H; Garratt M, 2019, 'Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming', in Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Sydney, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_58

Wang M; Hu J; Abbass H, 2019, 'Stable EEG Biometrics Using Convolutional Neural Networks and Functional Connectivity', in Australian Journal of Intelligent Information Processing Systems, Sydney, Australia, presented at 2019 - 26th International Conference on Neural Information Processing, Sydney, Australia, 12 December 2019 - 15 December 2019, http://ajiips.com.au/papers/V15.3/v15n3_23-30.pdf

Abbass HA; El Sawah S; Petraki E; Hunjet R, 2019, 'Machine Education: Designing semantically ordered and ontologically guided modular neural networks', in IEEE Symposium Series on Computational Intelligence, Xiamen, China, presented at IEEE Symposium Series on Computational Intelligence, Xiamen, China, 06 December 2019 - 09 December 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9003051

Nguyen HT; Garratt M; Bui LT; Abbass H, 2019, 'Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, IEEE, pp. 102 - 109, presented at 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 06 December 2019 - 09 December 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9002756

Tang J; Abbass H; Alam S, 2019, 'An Airspace Collision Risk Simulator for Safety Assessment', in Proceedings - Winter Simulation Conference, pp. 3160 - 3171, http://dx.doi.org/10.1109/WSC40007.2019.9004764

Liu J; Anavatti S; Hussein Abbass MG, 2019, 'Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 2287 - 2294, http://dx.doi.org/10.1109/SSCI44817.2019.9002992

Abbass HA; Elsawah S; Petraki E; Hunjet R, 2019, 'Machine Education: Designing semantically ordered and ontologically guided modular neural networks', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 948 - 955, http://dx.doi.org/10.1109/SSCI44817.2019.9003083

Long N; Sgarioto D; Garratt M; Sammut K; Abbass H, 2019, 'Multi-vessel Sea State Estimation Utilising Swarm Shepherding', Sydney, Australia, presented at 2019 Pacific International Maritime Conference, Sydney, Australia, 08 October 2019 - 10 October 2019, http://code4.co/papers2019/Session-5-Nathan-K-Long.pdf

Long NK; Sgarioto D; Garratt M; Sammut K; Abbass H, 2019, 'Multi-vessel sea state estimation utilising swarm shepherding', in RINA, Royal Institution of Naval Architects - IMC 2019: Pacific International Maritime Conference, Sydney, Australia, presented at presented at 2019 Pacific International Maritime Conference, Sydney, Australia, 08 October 2019 - 10 October 2019,, Sydney, Australia, 08 October 2019 - 10 October 2019

Wade H; Abbass HA, 2019, 'Cyber-shepherd: A smartphone-based game for human and autonomous swarm control', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 198 - 204, http://dx.doi.org/10.1109/SMC.2019.8914378

El-Fiqi H; Kasmarik K; Bezerianos A; Tan KC; Abbass H, 2019, 'Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery', in Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., Budapest, Hungary, Hungary, presented at 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, Hungary, 14 July 2019 - 19 July 2019, http://dx.doi.org/10.1109/IJCNN.2019.8852101

Gee A; Abbass H, 2019, 'Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8852209

Clayton NR; Abbass H, 2019, 'Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 1259 - 1266, http://dx.doi.org/10.1109/CEC.2019.8790157

Singh H; Campbell B; Elsayed S; Perry A; Hunjet R; Abbass H, 2019, 'Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 2941 - 2948, http://dx.doi.org/10.1109/CEC.2019.8790228

Greenwood G; Abbass H; Petraki E, 2019, 'Punishing untrustworthiness and free riders to maintain cooperation in multi-agent social dilemmas using fuzzy logic', in ACM International Conference Proceeding Series, pp. 88 - 92, http://dx.doi.org/10.1145/3313991.3313995

Wang M; Hussein A; Rojas RF; Shafi K; Abbass HA, 2019, 'EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction', in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE, pp. 350 - 357, presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628649

Hussein A; Abbass H, 2018, 'Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges', in 2018 2nd Annual Systems Modelling Conference, SMC 2018, http://dx.doi.org/10.1109/SYSMC.2018.8509744

Greenwood GW; Abbass H; Petraki E, 2018, 'A Critical Analysis of Punishment in Public Goods Games', in IEEE Conference on Computatonal Intelligence and Games, CIG, http://dx.doi.org/10.1109/CIG.2018.8490421

El-Fiqi H; Wang M; Salimi N; Kasmarik KE; Barlow M; Abbass H, 2018, 'Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, pp. 1062 - 1069, presented at IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, 07 October 2018 - 10 October 2018, http://dx.doi.org/10.1109/SMC.2018.00188

Wang M; Hu J; Abbass HA, 2018, 'Multi-scale Weighted Inherent Fuzzy Entropy for EEG Biomarkers', in IEEE International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, Brazil, presented at 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro, Brazil, 08 July 2018 - 13 July 2018, http://dx.doi.org/10.1109/Fuzz-Ieee.2018.8491544

Nguyen HT; Garratt ; Abbass , 2018, 'Apprenticeship Bootstrapping', in Proceedings of International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers, Brazil, presented at International Joint Conference on Neural Networks, Brazil, - , http://dx.doi.org/10.1109/IJCNN.2018.8489064

Nguyen T; Nguyen H; Garratt M; Tran P; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, 'Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction', in AAAI Fall Symposia Papers, AAAI, Stanford USA, presented at Fifth AAAI Fall Symposium Series on Artificial Intelligence for Human-Robot Interaction, Stanford USA, - , https://aaai.org/Library/Symposia/symposia-library.php

Nguyen HT; Garratt ; Bui ; Abbass , 2018, 'Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task', in International Conference on Autonomous Agents and Multiagent Systems, Stockholm, Sweden, pp. 2204 - 2206, presented at AAMAS 2018, Stockholm, Sweden, -

Nguyen T; Nguyen H; Debie E; Kasmarik K; Garratt M; Abbass H, 2018, 'Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control', in Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, Brazil, presented at International Joint Conference on Neural Networks, Brazil, - , http://dx.doi.org/10.1109/IJCNN.2018.8489674

Nguyen HT; Garratt ; Bui ; Abbass , 2017, 'Supervised deep actor network for imitation learning in a ground-air UAV-UGVs coordination task', in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, Hawaii, USA, pp. 1 - 8, presented at 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, Hawaii, USA, 27 November 2017 - 01 December 2017, http://dx.doi.org/10.1109/SSCI.2017.8285387

Wang S-M, 2017, 'An Action Research on the Information-Merged-Education of "Dabu Flower-Drum Dancing Array"', in INTERNATIONAL CONFERENCE ON ADVANCED EDUCATION AND MANAGEMENT SCIENCE (AEMS 2017), DESTECH PUBLICATIONS, INC, Bangkok, THAILAND, pp. 1 - 9, presented at International Conference on Advanced Education and Management Science (AEMS), Bangkok, THAILAND, 26 March 2017 - 27 March 2017, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000431390600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Greenwood G; Abbass HA; Petraki E, 2017, 'Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Geelong, VIC, Australia, pp. 12 - 24, presented at Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, 31 January 2017 - 02 February 2017, http://dx.doi.org/10.1007/978-3-319-51691-2_2

Yang Z; Merrick K; Abbass H; Jin L, 2017, 'Multi-task deep reinforcement learning for continuous action control', in IJCAI International Joint Conference on Artificial Intelligence, pp. 3301 - 3307, http://dx.doi.org/10.24963/ijcai.2017/461

Yang Z; Merrick K; Abbass H, 2017, 'Handling Multi-Task Learning with Deep Reinforcement Learning', in Handling Multi-Task Learning with Deep Reinforcement Learning, International Joint Conference on Artificial Intelligence, Melbourne Australia, presented at International Joint Conference on Artificial Intelligence, Melbourne Australia, -

Wang M; Abbass HA; Hu J, 2016, 'Continuous Authentication Using EEG and Face Images for Trusted Autonomous Systems', in 2016 14th Annual Conference on Privacy, Security and Trust (PST), IEEE, Auckland, New Zealand, pp. 368 - 375, presented at Annual Conference on Privacy, Security and Trust, Auckland, New Zealand, 12 December 2016 - 14 December 2016, http://dx.doi.org/10.1109/PST.2016.7906958


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