Heba El-Fiqi


Dr Heba El-Fiqi is a lecturer with the School of Engineering and Information Technology (SEIT), UNSW Canberra. Her research interest includes the areas of artificial intelligence, swarm intelligence, machine learning, and computational intelligence. ​Dr El-Fiqi contributions to the AI field includes a novel solution to a significant challenge in Air Traffic control using a novel AI Swarm control methodology. This first-of-its-kind solution will create a great impact on future concepts using AI for air traffic management of unmanned aerial vehicles. Furthermore, she developed an algorithm, Weighted Gate Layer Autoencoders (WGLAE),  that transforms classic imputation and interpolation uses of relationships learning to signal recovery, where data is correlated due to the time-series nature of the problem. The impact of WGLAE is a better utilization of usually discarded samples and enhancement of samples quality.

She is an IEEE active member. She co-chaired the Women in Artificial intelligence (WAI) activities for IEEE SSCI 2020 and Canberra AI week December 2020. She was an organizing committee member and a session chair for the IEEE CIS Workshop, hosted by UNSW Canberra in April 2018. She also serves as a reviewer for IEEE Transactions on artificial intelligence, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, and IEEE Transactions on Emerging Topics in Computational Intelligence, and a conference program committee member for a number of A/A* conferences, including AAAI, IJCAI, and ECAI.

Dr El-Fiqi actively supports the local female engineering community. She served as the Women in Engineering (WIE) coordinator for the school of SEIT at UNSW Canberra from 2018 to June 2020 and contributed to UNSW Canberra Young Women in Engineering (YoWIE) activities in 2018 and 2019.  She also led UNSW Canberra Engineering Pitch to Industry, a networking event between engineering students and engineering industry representatives.

Wise C; Hussein A; El-Fiqi H, 2022, Developing Decentralised Resilience to Malicious Influence in Collective Perception Problem, http://dx.doi.org/10.48550/arxiv.2211.03063
Book Chapters
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
Campbell B; El-Fiqi H; Hunjet R; Abbass H, 2021, 'Distributed Multi-agent Shepherding with Consensus', in Advances in Swarm Intelligence, Springer International Publishing, pp. 168 - 181, http://dx.doi.org/10.1007/978-3-030-78811-7_17
El-Fiqi H; Slay J, 2016, 'Literature Review on Cloud Authentication and Forensics', in Choo K-KR; Slay J (ed.), Cloud Authentication and Forensics, The National Drug Law Enforcement Research Fund (NDLERF), Canberra, Australian Capital Territory 2601, pp. 2 - 8, http://www.ndlerf.gov.au/sites/default/files/publication-documents/monographs/monograph-69.pdf
Sobh TS; El-Fiqi HZ, 2010, 'Early worm detection for minimizing damage in e-service networks', in Handbook of Research on E-Services in the Public Sector: E-Government Strategies and Advancements, pp. 336 - 358, http://dx.doi.org/10.4018/978-1-61520-789-3.ch027
Conference Abstracts
Delaney J; Keane J; El-Fiqi H; Joiner K, 2021, 'Prospects for machine learning in dynamic recovery of underwater vehicles', in Australasian Simulation Congress 2021 Congress Proceedings Simulation – Navigating Uncertain Futures, Sydney, Australia, presented at Australasian Simulation Congress (ASC 2021), Sydney, Australia, 09 November 2021 - 11 November 2021
Conference Papers
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
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
El-Fiqi H; Petraki E; Abbass HA, 2011, 'A computational linguistic approach for the identification of translator stylometry using Arabic-English text', in IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc.,, Piscataway, NJ, USA, pp. 2039 - 2045, presented at 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011, Taipei, Taiwan, 27 June 2011 - 30 June 2011, http://dx.doi.org/10.1109/FUZZY.2011.6007535
El fiqi H; Pham TD; Hattori HT; Crane DI, 2009, 'Measuring complexity of mouse brain morphological changes using geoentropy', in 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-09), American Institute of Physics, Sofia, Bulgaria, pp. 110 - 118, presented at 2009 INTERNATIONAL CONFERNECE ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-09), Sofia, Bulgaria, 28 July 2009 - 29 July 2009, http://dx.doi.org/10.1063/1.3314263
Farag I; Shouman MA; Sobh TS; El-Fiqi HZ, 2007, 'Worm detection based on local victim information using ANN', in 37th International Conference on Computers and Industrial Engineering 2007, pp. 763 - 771
Conference Posters
El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass H, 2020, 'A preliminary study towards an improved shepherding model', pp. 75 - 76, http://dx.doi.org/10.1145/3377929.3390067
Journal articles
El-Fiqi H; Wang M; Kasmarik K; Bezerianos A; TAN KC; Abbass H, 2021, 'Weighted Gate Layer Autoencoders', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2021.3049583
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, vol. 3, pp. 175 - 186, http://dx.doi.org/10.1007/s42454-020-00024-w
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, http://dx.doi.org/10.1109/ACCESS.2020.3037325
El-Fiqi H; Petraki E; Abbass HA, 2019, 'Network motifs for translator stylometry identification', PLoS ONE, vol. 14, pp. e0211809, http://dx.doi.org/10.1371/journal.pone.0211809
El-Amir S; El-Fiqi H, 2019, 'Classification Imbalanced Data Sets: A Survey', International Journal of Computer Applications, vol. 177, pp. 20 - 23, http://dx.doi.org/10.5120/ijca2019919682
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, http://dx.doi.org/10.1109/TIFS.2019.2916403
Razek SA; El-Fiqi H; Mahmoud I, 2017, 'Cloud Storage Forensics: Survey', International Journal of Engineering Trends and Technology, vol. 52, pp. 22 - 35, http://dx.doi.org/10.14445/22315381/ijett-v52p205
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, http://dx.doi.org/10.1145/2898997
Pham TD; El fiqi H; Knecht S; Wersching H; Baune BT; Berger K, 2010, 'Structural simplexity of the brain', Journal of Neuroscience Methods, vol. 1, pp. 113 - 126, http://dx.doi.org/10.1016/j.jneumeth.2010.01.029
Farag IA; Shouman MA; Sobh TS; El-Fiqi H, 2009, 'Intelligent System for Worm Detection', International Arab Journal of e-Technology, vol. 1, pp. 58 - 67, http://www.iajet.org/iajet_files/vol.1/no.1/Intelligent%20System%20for%20Worm%20Detection%20.pdf


  • Dell EMC Award of Distinction (2017): Achievement: delivering data analytics for big data and supporting students through an academic alliance program to obtaining EMC Data Scientist Associate (EMCDSA) certification with a success rate of 98% (317 certified students out of 323 enrolled students).
  • IBM Big Data Developer - Instructor Award for Educators (2017).


May 1, 2019, Research to Impact Program Completion, Canberra Innovation Network.

May 5, 2018, Foundations of University Learning and Teaching (FULT) Program Completion, UNSW.

Feb 2, 2017, IBM Big Data Developer 2016, Mastery Award, IBM.

Jul 21, 2016, Big Data Specialist with IBM BigInsights V2.1, IBM.

May 11, 2016, EMC Academic Associate, Data Science and Big Data Analytics, Dell EMC.

Oct 31, 2011, Graduate Teacher Training (GTTP) Program Completion, UNSW.

Sep 3, 2008, Cisco Networking Academy Instructor, Cisco.

Jul 28, 2007, Microsoft Certified Systems Engineer: Security (MCSE +Security), Microsoft.

Jul 28, 2007, Microsoft Certified Systems Administrator: Security (MCSA +Security), Microsoft.

Jul 28, 2007, Microsoft Certified Systems Engineer (MCSE), Microsoft.

Jul 28, 2007, Microsoft Certified Systems Administrator (MCSA), Microsoft.

Aug 12, 2006, Microsoft Certified Professional (MCP), Microsoft.

Jul 27, 2006, Cisco Certified Network Associate (CCNA), Cisco.

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