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Dr Essam Debie

Dr Essam Debie

Post-Doc Fellow

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School of Systems & Computing

Essam earned aÌýPh.D. in Computer Science in 2014, aÌýM.Sc. degree in Information Systems in 2010 and a B.Sc. in Information Systems and Technology in 2003.

Currently, Essam is a Lecturer with the School of Systems and Computing, University of New South Wales Canberra. Essam's research primarily focuses on Human-Autonomy Interaction and Swarm Intelligence, demonstrating a deep commitment to advancing knowledge in these fields.
E-mail
e.debie@unsw.edu.au
  • Book Chapters | 2021
    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,
    Book Chapters | 2021
    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,
    Book Chapters | 2016
    Debie E; Elsayed SM; Essam DL; Sarker RA, 2016, 'Investigating multi-operator differential evolution for feature selection', in Ray T; Sarker R; Li X (ed.), Artificial Life and Computational Intelligence, Springer Nature, pp. 273 - 284,
  • Journal articles | 2024
    Debie E; Kasmarik K; Garratt M, 2024, 'Swarm Robotics: A Survey from a Multi-Tasking Perspective', ACM Computing Surveys, 56, pp. 1 - 38,
    Journal articles | 2022
    Debie E; Moustafa N; Vasilakos A, 2022, 'Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network', IEEE Transactions on Dependable and Secure Computing, 19, pp. 2488 - 2500,
    Journal articles | 2021
    Debie E; El-Fiqi H; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding', Human-Intelligent Systems Integration, 3, pp. 175 - 186,
    Journal articles | 2021
    Hepworth AJ; Baxter DP; Hussein A; Yaxley KJ; Debie E; Abbass HA, 2021, 'Human-Swarm-Teaming Transparency and Trust Architecture', IEEE/CAA Journal of Automatica Sinica, 8, pp. 1281 - 1295,
    Journal articles | 2020
    Asharf J; Moustafa N; Khurshid H; Debie E; Haider W; Wahab A, 2020, 'A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions', Electronics (Switzerland), 9,
    Journal articles | 2020
    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 2020, pp. 2194 - 2201,
    Journal articles | 2020
    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, 14,
    Journal articles | 2019
    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, 51, pp. 1542 - 1555,
    Journal articles | 2018
    Shafi K; Debie E; Oliver D, 2018, 'Historical operational data analysis for defence preparedness planning', Journal of Defense Modeling and Simulation, 15, pp. 231 - 244,
    Journal articles | 2017
    Debie E; Shafi K; Merrick K; Lokan C, 2017, 'On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems', Computational Intelligence, 33, pp. 554 - 578,
    Journal articles | 2017
    Debie E; Shafi K, 2017, 'Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses', Pattern Analysis and Applications, pp. 1 - 18,
    Journal articles | 2013
    Merrick K; Debie E; Shafi K; Lokan C, 2013, 'Performance Analysis of Rough Set Ensemble of Learning Classifier Systems with Differential Evolution based Rule Discovery', Evolutionary Intelligence, 6, pp. 109 - 126,
  • Conference Papers | 2023
    Kasmarik K; Debie E; Abpeikar S; Garratt M; Qiu H; Barlow M; Khan M, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Brisbane, pp. 441 - 452, presented at Australasian Joint Conference on Artificial Intelligence, Brisbane,
    Conference Papers | 2021
    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, pp. 2634 - 2641,
    Conference Papers | 2020
    Debie E; Moustafa N; Whitty M, 2020, 'A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals', in IEEE World Congress on Computaional Intelligence (IEEE WCCI), 2020, IEEE, Glasgow, United kingdom, presented at IEEE World Congress on Computaional Intelligence (IEEE WCCI), 2020, Glasgow, United kingdom, 19 July 2020 - 24 July 2020
    Conference Papers | 2020
    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', in 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), IEEE, Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., pp. 2194 - 2201, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., 01 December 2020 - 04 December 2020,
    Conference Papers | 2020
    Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjet R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution',
    Conference Papers | 2020
    Moustafa N; Hassan M; Debie E; Janicke H, 2020, 'Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications', in Wang GJ; Ko R; Bhuiyan MZA; Pan Y (eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020, Institute of Electrical and Electronics Engineers (IEEE), Guangzhou, China, pp. 848 - 855, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020 - 01 January 2021,
    Preprints | 2020
    Moustafa N; Keshk M; Debie E; Janicke H, 2020, Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications, ,
    Conference Papers | 2019
    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 Gedeon T; Wong KW; Lee M (eds.), Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Springer Nature, Sydney, pp. 530 - 539, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019,
    Conference Papers | 2018
    Nguyen T; Nguyen H; Debie E; Kasmarik K; Garratt M; Abbass H, 2018, 'Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control', Brazil, presented at International Joint Conference on Neural Networks, Brazil, -
    Conference Papers | 2016
    Debie E; Elsayed SM; Essam DL; Sarker RA, 2016, 'Investigating multi-operator differential evolution for feature selection', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 273 - 284,
    Conference Papers | 2014
    Debie E; Shafi K; Merrick K; Lokan CJ, 2014, 'An Online Evolutionary Rule Learning Algorithm with Incremental Attribute Discretization', in 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, Beijing, China, pp. 1116 - 1123, presented at IEEE Congress on Evolutionary Computation, Beijing, China, 06 July 2014 - 11 July 2014,
    Conference Papers | 2013
    Debie E; Shafi K; Lokan CJ; Merrick K, 2013, 'Investigating Differential Evolution Based Rule Discovery in Learning Classifier Systems', in Brest J; Das S; Neri F; Suganthan PN (eds.), Singapore, pp. 77 - 84, presented at 2013 IEEE Symposium on Differential Evolution, Singapore, 16 April 2013 - 19 April 2013,
    Conference Papers | 2013
    Debie E; Shafi K; Lokan CJ, 2013, 'REUCS-CRG: Reduct based Ensemble of sUpervised Classifier System with Combinatorial Rule Generation for Data Mining', in Blum, Christian (ed.), Amsterdam, pp. 1251 - 1258, presented at 2013 Genetic and Evolutionary Computation Conference, Amsterdam, 06 July 2013 - 10 July 2013,
    Conference Papers | 2013
    debie E; shafi K; Lokan CJ; merrick K, 2013, 'Reduct Based Ensemble of Learning Classifier System for Real-valued Classification Problems', in Pal NR; Yao X; Suganthan PN (eds.), Proceedings 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL 2013), Singapore, pp. 66 - 73, presented at 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning, Singapore, 16 April 2013 - 19 April 2013,
    Conference Papers | 2012
    Shafi K; Merrick K; Debie E, 2012, 'Evolution of Intrinsic Motives in Multi-agent Simulations', in Lecture Notes in Computer Science (LNCS), Springer, pp. 198 - 207, presented at The Ninth International Conference on Simulated Evolution and Learning, 16 December 2012 - 19 December 2012,

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