By Professor Hussein Abbass

Books

Ng S; Scholz JB; Abbass HA, 2025, Thinking Swarms, http://dx.doi.org/10.1007/978-3-031-82790-7

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, Abbass H, (ed.), 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

Eumi EM; Abbass H; Marcus N, 2026, 'SwarmChat: An LLM-Based, Context-Aware Multimodal Interaction System for Robotic Swarms', in , pp. 181 - 192, http://dx.doi.org/10.1007/978-981-95-0982-9_15

Hussein A; Elsawah S; Petraki E; Abbass HA, 2025, 'Learner-Centred, Teacher-Centred and Blended Curriculum Design in Swarm Systems', in Thinking Swarms, pp. 291 - 312, http://dx.doi.org/10.1007/978-3-031-82790-7_15

Scholz JB; Ng S; Abbass HA, 2025, 'Thinking About Thinking Swarms', in Thinking Swarms, pp. 3 - 19, http://dx.doi.org/10.1007/978-3-031-82790-7_1

Dam T; Pratama M; Ferdaus MM; Anavatti S; Abbas H, 2023, 'Scalable Adversarial Online Continual Learning', in , pp. 373 - 389, http://dx.doi.org/10.1007/978-3-031-26409-2_23

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, 2008, 'How Hard Is It To Red Team?', in Electronic Government Concepts Methodologies Tools and Applications, pp. 4045 - 4069, http://dx.doi.org/10.4018/978-1-59904-947-2.ch295

Abraham A; Thomas J, 2006, 'Distributed Intrusion Detection Systems', in Applications of Information Systems to Homeland Security and Defense, IGI Global, pp. 107 - 137, http://dx.doi.org/10.4018/978-1-59140-640-2.ch005

Dekker AH; Colbert B, 2006, 'Network Robustness for Critical Infrastructure Networks', in Applications of Information Systems to Homeland Security and Defense, IGI Global, pp. 79 - 106, http://dx.doi.org/10.4018/978-1-59140-640-2.ch004

Michael K; Masters A, 2006, 'Realized Applications of Positioning Technologies in Defense Intelligence', in Applications of Information Systems to Homeland Security and Defense, IGI Global, pp. 167 - 195, http://dx.doi.org/10.4018/978-1-59140-640-2.ch007

Barlow MG; Cox R, 2006, 'Small & Simple:Application-Specific Multi-Agent Systems', in Abbass H; Essam D (ed.), Applications of Information Systems to Homeland Security and Defense, Idea Group Publishing, Hershey PA, USA: London, UK, pp. 17 - 45

Michael K; Masters A, 2006, 'The Advancement of Positioning Technologies in Defense Intelligence', in Applications of Information Systems to Homeland Security and Defense, IGI Global, pp. 196 - 220, http://dx.doi.org/10.4018/978-1-59140-640-2.ch008

Barlow MG, 2006, 'The Game of Defense and Security', in Abbass H; Essam D (ed.), Applications of Information Systems to Homeland Security and Defense, Idea Group Publishing, Hershey PA, USA: London, UK, pp. 138 - 166

Andrews CM; Lewis EJ, 2005, 'Simulating Complexity-Based Ethics for Crucial Decision Making in Counter Terrorism', in Abbass H; Essam D (ed.), Applications of Information Systems to Homeland Security and Defense, Idea Group Publishing, Hershey PA, USA: London, UK, pp. 221

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

Engelbrecht AP; Schoeman L; Rouwhorst S, 2002, 'A Building Block Approach to Genetic Programming for Rule Discovery', in Data Mining, IGI Global, pp. 174 - 190, http://dx.doi.org/10.4018/978-1-930708-25-9.ch009

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

Estivill-Castro V; Houle M, 2002, 'Approximating Proximity to Fast and Robust Distance-Based Clustering', in Data Mining, IGI Global, pp. 1 - 21, http://dx.doi.org/10.4018/978-1-930708-25-9.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

Voges KE; Pope NKL; Brown MR, 2002, 'Cluster Analysis of Marketing Data Examining On-line Shopping Orientation', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 208 - 225, http://dx.doi.org/10.4018/978-1-930708-26-6.ch011

Ting KM, 2002, 'Cost-Sensitive Classification Using Decision Trees, Boosting and MetaCost', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 27 - 53, http://dx.doi.org/10.4018/978-1-930708-26-6.ch003

Howard CM, 2002, 'Designing Component-Based Heuristic Search Engines for Knowledge Discovery', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 68 - 88, http://dx.doi.org/10.4018/978-1-930708-26-6.ch005

Inza I; Larranaga P; Sierra B, 2002, 'Estimation of Distribution Algorithms for Feature Subset Selection in Large Dimensionality Domains', in Data Mining, IGI Global, pp. 97 - 116, http://dx.doi.org/10.4018/978-1-930708-25-9.ch005

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