Select Publications

Books

Abbass HA; Hunjet RA, 2021, Preface

Tang J; Leu G; Abbass HA, 2019, Simulation and computational red teaming for problem solving, http://dx.doi.org/10.1002/9781119527183

Liu J; Abbass HA; Tan KC, 2018, Evolutionary Computation and Complex Networks, http://dx.doi.org/10.1007/978-3-319-60000-0

2016, Recent Advances in Computational Intelligence in Defense and Security, Abielmona R; Falcon R; Zincir-Heywood N; Abbass HA, (eds.), Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-26450-9

Abbass HA, 2014, Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems, Springer, Switzerland, http://dx.doi.org/10.1007/978-3-319-08281-3

Green DG; Liu J; Abbass HA, 2014, Dual Phase Evolution, Springer, http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-1-4419-8422-7

Abbass HA; Bossomaier T; Wiles J, 2005, Preface

Abbass HA; Bossomaier T; Wiles J, 2005, Recent advances in artificial life, http://dx.doi.org/10.1142/5992

Book Chapters

Kasmarik K; Liu X; Abbass H, 2022, 'Design and Validation of a Mini-Game for Player Motive Profiling', in Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics, Springer, pp. 103 - 129, http://dx.doi.org/10.1007/978-3-030-79092-9_5

Liu J; Anavatti S; Garratt M; Abbass HA, 2021, 'Marriage in Honey Bees Optimization in Continuous Domains', in Handbook of AI-based Metaheuristics, CRC Press, pp. 43 - 72, http://dx.doi.org/10.1201/9781003162841-4

Nguyen H; Garratt M; Abbass H, 2021, 'Apprenticeship Bootstrapping Reinforcement Learning for Sky Shepherding of a Ground Swarm in Gazebo', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 207 - 243, http://dx.doi.org/10.1007/978-3-030-60898-9_10

Fernandez Rojas R; Debie E; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-030-60898-9_13

Liu J; Garratt M; Anavatti S; Abbass H, 2021, 'Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 87 - 114, http://dx.doi.org/10.1007/978-3-030-60898-9_5

Long N; Garratt M; sammut K; sgarioto D; Abbass H, 2021, 'Shepherding Autonomous Goal-Focused Swarms in Unknown Environments Using Hilbert Space-Filling Paths', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 31 - 50, http://dx.doi.org/10.1007/978-3-030-60898-9_2

Baxter D; Garratt M; Abbass H, 2021, 'Simulating Single and Multiple Sheepdogs Guidance of a Sheep Swarm', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 51 - 65, http://dx.doi.org/10.1007/978-3-030-60898-9_3

Debie E; Fernandez Rojas R; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 267 - 292, http://dx.doi.org/10.1007/978-3-030-60898-9_12

Campbell B; El-Fiqi H; Hunjet R; Abbass H, 2021, 'Distributed Multi-agent Shepherding with Consensus', in Advances in Swarm Intelligence, pp. 168 - 181, http://dx.doi.org/10.1007/978-3-030-78811-7_17

Francis S; Anavatti SG; Garratt M; Abbass HA, 2021, 'Real-Time Multi-obstacle Detection and Tracking Using a Vision Sensor for Autonomous Vehicle', in Communication and Intelligent Systems, pp. 873 - 883, http://dx.doi.org/10.1007/978-981-16-1089-9_67

Abbass HA; Hunjet RA, 2021, 'Smart Shepherding: Towards Transparent Artificial Intelligence Enabled Human-Swarm Teams', in Unmanned System Technologies, pp. 1 - 28, http://dx.doi.org/10.1007/978-3-030-60898-9_1

El-Fiqi H; Kasmarik K; Abbass H, 2021, 'Logical Shepherd Assisting Air Traffic Controllers for Swarm UAV Traffic Control Systems', in Abbass H; Robert H (ed.), Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles, Springer International Publishing, pp. 245 - 263, http://dx.doi.org/10.1007/978-3-030-60898-9_11

Hussein A; Abbass HA, 2021, 'Stable Belief Estimation in Shepherd-Assisted Swarm Collective Decision Making', in Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles, Springer International Publishing, pp. 165 - 185, http://dx.doi.org/10.1007/978-3-030-60898-9_8

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, http://dx.doi.org/10.1002/9781119698821.ch4

Abbass HA, 2020, 'An Introduction to Neuroergonomics: From Brains at Work to Human-Swarm Teaming', in Cognitive Science and Technology, pp. 3 - 10, http://dx.doi.org/10.1007/978-3-030-34784-0_1

Wang M; Abbass H; Hu J, 2018, 'EEG-based biometrics for person identification and continuous authentication', in Information Security Foundations Technologies and Applications, IET, http://dx.doi.org/10.1049/PBSE001E_ch13

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, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000446848400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Abbass HA; Scholz J; Reid DJ, 2018, 'Foundations of trusted autonomy: An introduction', in Foundations of Trusted Autonomy, Springer, pp. 1 - 12, http://dx.doi.org/10.1007/978-3-319-64816-3_1

Abielmona R; Falcon R; Zincir-Heywood N; Abbass H, 2016, 'Recent Advances in Computational Intelligence in Defense and Security', in Studies in Computational Intelligence, pp. 1 - 9, http://dx.doi.org/10.1007/978-3-319-26450-9_1

Tuček DC; Mount WM; Abbass HA, 2012, 'Neural and Speech Indicators of Cognitive Load for Sudoku Game Interfaces', in Neural Information Processing, Springer Nature, pp. 210 - 217, http://dx.doi.org/10.1007/978-3-642-34475-6_26

Yang A; Abbass HA; Sarker R, 2004, 'Landscape Dynamics in Multi–agent Simulation Combat Systems', in Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 39 - 50, http://dx.doi.org/10.1007/978-3-540-30549-1_4

Bagirov AM; Rubinov AM; Yearwood J, 2002, 'A Heuristic Algorithm for Feature Selection Based on Optimization Techniques', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 13 - 26, http://dx.doi.org/10.4018/978-1-930708-26-6.ch002

Macrossan P; Mengersen K, 2002, 'Bayesian Learning', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 108 - 121, http://dx.doi.org/10.4018/978-1-930708-26-6.ch007

de Carvalho A; Braga AP; Rezende SO; Martineli E; Ludermir T, 2002, 'Understanding Credit Card User's Behaviour', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 241 - 262, http://dx.doi.org/10.4018/978-1-930708-26-6.ch013

Edited Books

Abbass H; Scholz J; Reid DR, (eds.), 2018, Foundations of Trusted Autonomy, Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-64816-3

2011, Artificial Life, Springer US, http://dx.doi.org/10.1007/978-0-387-30164-8_34

Journal articles

Vahidnia S; Abbasi A; Abbass H, 2024, 'A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics[Formula presented]', Expert Systems with Applications, 247, http://dx.doi.org/10.1016/j.eswa.2024.123279

Hepworth AJ; Hussein ASM; Reid DJ; Abbass HA, 2024, 'Contextually aware intelligent control agents for heterogeneous swarms', Swarm Intelligence, http://dx.doi.org/10.1007/s11721-024-00235-w

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung YM; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 10 - 12, http://dx.doi.org/10.1109/MCI.2023.3306163

Hepworth AJ; Hussein A; Reid DJ; Abbass HA, 2023, 'Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts', Adaptive Behavior, 31, pp. 323 - 349, http://dx.doi.org/10.1177/10597123221137090

Mohamed RE; Hunjet R; Elsayed S; Abbass H, 2023, 'Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding', IEEE Transactions on Emerging Topics in Computational Intelligence, 7, pp. 661 - 683, http://dx.doi.org/10.1109/TETCI.2022.3195178

Abbass H, 2023, 'Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example', IEEE Transactions on Artificial Intelligence, 4, pp. 399 - 401, http://dx.doi.org/10.1109/TAI.2023.3267663

Nguyen H; Hussein A; Garratt MA; Abbass HA, 2023, 'Swarm Metaverse for Multi-Level Autonomy Using Digital Twins', Sensors, 23, http://dx.doi.org/10.3390/s23104892

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 13 - 15, http://dx.doi.org/10.1109/mci.2023.3248759

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 17 - 19, http://dx.doi.org/10.1109/mci.2022.3223500

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 10 - 86, http://dx.doi.org/10.1109/mci.2023.3278555

Yaxley K; Reid A; Kenworthy C; Hossny M; Baxter D; Spaulding T; Allworth BM; McGrath SR; Joiner K; Abbass H, 2022, 'Building a Sky Shepherd for the future of agriculture', Smart Agricultural Technology, 3, http://dx.doi.org/10.1016/j.atech.2022.100137

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2022, 'MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 20134 - 20147, http://dx.doi.org/10.1109/TITS.2022.3179365

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2022, 'Towards Real-Time Monocular Depth Estimation for Robotics: A Survey', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 16940 - 16961, http://dx.doi.org/10.1109/TITS.2022.3160741

Abbass HA; Petraki E; Hunjet R, 2022, 'JSwarm: A Jingulu-Inspired Human-AI-Teaming Language for Context-Aware Swarm Guidance', Frontiers in Physics, 10, http://dx.doi.org/10.3389/fphy.2022.944064

Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning', Expert Systems with Applications, 196, http://dx.doi.org/10.1016/j.eswa.2022.116605

Liu J; Anavatti S; Garratt M; Tan KC; Abbass HA, 2022, 'A survey, taxonomy and progress evaluation of three decades of swarm optimisation', Artificial Intelligence Review, 55, pp. 3607 - 3725, http://dx.doi.org/10.1007/s10462-021-10095-z


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