Dr Basem Suleiman

Dr Basem Suleiman

Lecturer
  • Ph.D. in Computer Science, University of New South Wales, Sydney, Australia
  • Graduate Certificate in Research Commercialization & Management, University of New South Wales (UNSW), Sydney, Australia
  • Master of Computing (Software Engineering)Western Sydney University, Australia. 

 

Engineering
Computer Science and Engineering

I am an accomplished educator, researcher, and industry collaborator with a Ph.D. in Computer Science from the School of Computer Science & Engineering at the University of New South Wales (UNSW). With wealth of experience spanning academia and industry, I have contributed to the design and development of cutting-edge software systems at world-class organizations, including SAP, CSIRO’s Data61, and leading universities such as UNSW and the University of Sydney. I have collaborated extensively with academics and industry professionals across multiple continents to drive innovation in software engineering and applied AI.

Currently, I serve as the Deputy Director of the Software Engineering Program and Industry Capstone Liaison Officer, at the school of Computer Science and Engineering. I advise students, develop industry engagement initiatives, and enhancing the software engineering curriculum. I actively facilitate project opportunities for students through industry partnerships and assist in program reviews and course development. Previously, at the University of Sydney, I also served as Deputy Director of External Engagement, fostering collaborations between academia, industry, and research institutes.

I am committed to excellence in teaching and curriculum innovation. My teaching philosophy is rooted in problem-solving and research-based strategies, ensuring students acquire the critical skills needed to tackle real-world challenges.

My research focuses on AI-driven Software Services, with applications spanning education, healthcare, and government digital services. I secured multiple research grants, published in prestigious conferences and journals, and supervised numerous honours, PhD, and capstone research students.

Location
School of Computer Science and Engineering Building K17 UNSW Sydney, NSW 2052
  • Book Chapters | 2025
    Bartlett A; Yaqub W; Suleiman B; Mohanty M, 2025, 'Misinformation in Reels, Influence of Contextual Superimposed Texts in Short Videos', in , pp. 3 - 14, http://dx.doi.org/10.1007/978-981-96-0567-5_1
    Book Chapters | 2025
    Iqbal A; Yaqub W; Suleiman B; Mohanty M, 2025, 'What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative Approach', in , pp. 15 - 29, http://dx.doi.org/10.1007/978-981-96-0567-5_2
    Book Chapters | 2025
    Masurkar H; Suleiman B; Yaqub W; Alibasa MJ, 2025, 'Are Fact Checkers Effective in the Post Truth World? Assessing Impact of Fact Checkers Cross Medium and Platforms', in , pp. 30 - 40, http://dx.doi.org/10.1007/978-981-96-0567-5_3
    Book Chapters | 2024
    Shrivastava T; Suleiman B; Alibasa MJ, 2024, 'Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators', in , pp. 177 - 191, http://dx.doi.org/10.1007/978-981-99-8696-5_13
    Book Chapters | 2024
    Suleiman B; Alibasa MJ; Chang YY; Anaissi A, 2024, 'Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction', in , pp. 5 - 16, http://dx.doi.org/10.1007/978-981-97-0989-2_1
    Book Chapters | 2024
    Suleiman B; Anaissi A; Yan W; Bello A; Zou S; Tong LNM, 2024, 'A Federated Learning Anomaly Detection Approach for IoT Environments', in , pp. 206 - 218, http://dx.doi.org/10.1007/978-3-031-56950-0_18
    Book Chapters | 2023
    Alibasa MJ; Suleiman B; Bello A; Anaissi A; Yan Q; Chen S, 2023, 'Cloud Resources Usage Prediction Using Deep Learning Models', in , pp. 443 - 452, http://dx.doi.org/10.1007/978-3-031-33743-7_36
    Book Chapters | 2023
    Anaissi A; D’souza K; Suleiman B; Bekhit M; Alyassine W, 2023, 'Heterogeneous Transfer Learning in Structural Health Monitoring for High Rise Structures', in , pp. 405 - 417, http://dx.doi.org/10.1007/978-3-031-35308-6_34
    Book Chapters | 2023
    Anaissi A; Suleiman B, 2023, '$$B^2$$-FedGAN: Balanced Bi-directional Federated GAN', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 380 - 392, http://dx.doi.org/10.1007/978-3-031-35995-8_27
    Book Chapters | 2023
    Desa SAJ; Suleiman B; Yaqub W, 2023, 'Heart Rate-Based Identification of Users of IoT Wearables: A Supervised Learning Approach', in , pp. 389 - 397, http://dx.doi.org/10.1007/978-3-031-36021-3_41
    Book Chapters | 2023
    Graham MLW; Zhu H; Osop H; Suleiman B; Zhang Y; Wang R; Xu X, 2023, 'TweetVi: A Tweet Visualisation Dashboard for Automatic Topic Classification and Sentiment Analysis', in , pp. 159 - 166, http://dx.doi.org/10.1007/978-981-99-8085-7_14
    Book Chapters | 2023
    Hunag Y; Farid F; Suleiman B, 2023, 'Predicting the Relationship Between Meal Frequency and Type 2 Diabetes: Empirical Study Using Machine and Deep Learning', in Studies in Computational Intelligence, pp. 235 - 257, http://dx.doi.org/10.1007/978-3-031-42112-9_11
    Book Chapters | 2023
    Jing Z; Suleiman B; Yaqub W; Mohanty M, 2023, 'Dissemination of Fact-Checked News Does Not Combat False News: Empirical Analysis', in , pp. 122 - 133, http://dx.doi.org/10.1007/978-981-99-7254-8_10
    Book Chapters | 2023
    Leung CYC; Suleiman B; Alibasa MJ; Al-Naymat G, 2023, 'Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns', in , pp. 81 - 100, http://dx.doi.org/10.1007/978-3-031-34776-4_5
    Book Chapters | 2023
    Osop H; Suleiman B; Alibasa MJ; Wrigley D; Helsham A; Asmaro A, 2023, 'Improving Patients’ Length of Stay Prediction Using Clinical and Demographics Features Enrichment', in , pp. 120 - 128, http://dx.doi.org/10.1007/978-3-031-36021-3_9
    Book Chapters | 2023
    Suleiman B; Anaissi A; Xiao Y; Yaqub W; Raju AS; Alyassine W, 2023, 'Supervised Learning-Based Indoor Positioning System Using WiFi Fingerprints', in , pp. 56 - 71, http://dx.doi.org/10.1007/978-3-031-33743-7_5
    Book Chapters | 2023
    Zhang Y; Suleiman B; Alibasa MJ, 2023, 'FedGroup: A Federated Learning Approach for Anomaly Detection in IoT Environments', in , pp. 121 - 132, http://dx.doi.org/10.1007/978-3-031-34776-4_7
    Book Chapters | 2023
    Zhao J; Suleiman B; Alibasa MJ, 2023, 'Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes', in , pp. 191 - 202, http://dx.doi.org/10.1007/978-3-031-34776-4_11
    Book Chapters | 2022
    Anaissi A; Suleiman B; Alyassine W, 2022, 'A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection', in , pp. 373 - 379, http://dx.doi.org/10.1007/978-3-031-08760-8_31
    Book Chapters | 2022
    Osop H; Suleiman B; Lakhdari A, 2022, '14 Days Later: Temporal Topical Shifts in Covid-19 Related Tweets After Pandemic Declaration', in , pp. 358 - 369, http://dx.doi.org/10.1007/978-3-031-05061-9_26
    Book Chapters | 2022
    Suleiman B; Anaissi A; Alibasa MJ; Truong H, 2022, 'Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition', in , pp. 276 - 290, http://dx.doi.org/10.1007/978-3-031-08751-6_20
    Book Chapters | 2021
    Suleiman B; Lu K; Chan HW; Alibasa MJ, 2021, 'DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features', in , pp. 811 - 818, http://dx.doi.org/10.1007/978-3-030-91431-8_58
    Book Chapters | 2021
    Zhou B; Suleiman B; Yaqub W, 2021, 'Aesthetic-Aware Recommender System for Online Fashion Products', in , pp. 292 - 304, http://dx.doi.org/10.1007/978-3-030-92185-9_24
  • Journal articles | 2024
    Anaissi A; Suleiman B; Alyassine W; Zandavi SM, 2024, 'A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification', International Journal of Data Science and Analytics, 17, pp. 359 - 371, http://dx.doi.org/10.1007/s41060-023-00402-y
    Journal articles | 2024
    Anaissi A; Suleiman B; Alyassine W; Zandavi SM, 2024, 'A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification.', Int. J. Data Sci. Anal., 17, pp. 359 - 371
    Journal articles | 2024
    Baets CD; Suleiman B; Chitizadeh A; Razzak I, 2024, 'Vulnerability Detection in Smart Contracts: A Comprehensive Survey.', CoRR, abs/2407.07922
    Journal articles | 2024
    Jia Y; Anaissi A; Suleiman B, 2024, 'ResNLS: An improved model for stock price forecasting', Computational Intelligence, 40, http://dx.doi.org/10.1111/coin.12608
    Journal articles | 2024
    Jia Y; Anaissi A; Suleiman B, 2024, 'ResNLS: An improved model for stock price forecasting.', Comput. Intell., 40
    Journal articles | 2024
    Marrapese A; Suleiman B; Ullah I; Kim J, 2024, 'A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health.', CoRR, abs/2403.09705
    Journal articles | 2024
    Suleiman B; Alibasa MJ; Purwanto RW; Jeffries L; Anaissi A; Song J, 2024, 'Optimisation of federated learning settings under statistical heterogeneity variations.', CoRR, abs/2406.06340
    Journal articles | 2024
    Ullah I; Hassan N; Gill SS; Suleiman B; Ahanger TA; Shah Z; Qadir J; Kanhere SS, 2024, 'Privacy preserving large language models: ChatGPT case study based vision and framework', IET Blockchain, 4, pp. 706 - 724, http://dx.doi.org/10.1049/blc2.12091
    Journal articles | 2024
    Zhang Y; Suleiman B; Alibasa MJ; Farid F, 2024, 'Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach', Journal of Network and Systems Management, 32, http://dx.doi.org/10.1007/s10922-023-09782-9
    Journal articles | 2023
    Anaissi A; Suleiman B; Alyassine W, 2023, 'Personalised federated learning framework for damage detection in structural health monitoring', Journal of Civil Structural Health Monitoring, 13, pp. 295 - 308, http://dx.doi.org/10.1007/s13349-022-00615-y
    Journal articles | 2023
    Anaissi A; Zandavi SM; Suleiman B; Naji M; Braytee A, 2023, 'Multi-objective variational autoencoder: an application for smart infrastructure maintenance', Applied Intelligence, 53, pp. 12047 - 12062, http://dx.doi.org/10.1007/s10489-022-04163-2
    Journal articles | 2023
    Huang A; Khushi M; Suleiman B, 2023, 'Regime-Specific Quant Generative Adversarial Network: A Conditional Generative Adversarial Network for Regime-Specific Deepfakes of Financial Time Series', Applied Sciences (Switzerland), 13, http://dx.doi.org/10.3390/app131910639
    Journal articles | 2023
    Liu X; Gao B; Suleiman B; You H; Ma Z; Liu Y; Anaissi A, 2023, 'Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach.', ACM Trans. Knowl. Discov. Data, 17, pp. 76:1 - 76:1
    Journal articles | 2023
    Liu X; Gao B; Suleiman B; You H; Ma Z; Liu Y; Anaissi A, 2023, 'Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach', ACM Transactions on Knowledge Discovery from Data, 17, http://dx.doi.org/10.1145/3572899
    Journal articles | 2023
    Sankaran L; Saleema JS; Suleiman B, 2023, 'Policies and metrics for schedulers in cloud data-centers using CloudSim simulator', International Journal of Data Science and Analytics, http://dx.doi.org/10.1007/s41060-023-00478-6
    Journal articles | 2022
    Ahamed F; Farid F; Suleiman B; Jan Z; Wahsheh LA; Shahrestani S, 2022, 'An Intelligent Multimodal Biometric Authentication Model for Personalised Healthcare Services', Future Internet, 14, http://dx.doi.org/10.3390/fi14080222
    Journal articles | 2021
    Anaissi A; Suleiman B; Zandavi SM, 2021, 'Online Tensor-Based Learning Model for Structural Damage Detection', ACM Transactions on Knowledge Discovery from Data, 15, http://dx.doi.org/10.1145/3451217
    Journal articles | 2021
    Anaissi A; Suleiman B; Zandavi SM, 2021, 'Online Tensor-Based Learning Model for Structural Damage Detection.', ACM Trans. Knowl. Discov. Data, 15, pp. 107:1 - 107:1
    Journal articles | 2021
    Anaissi A; Suleiman B, 2021, 'A Personalized Federated Learning Algorithm: an Application in Anomaly Detection.', CoRR, abs/2111.02627
    Journal articles | 2021
    Wang K; Yaqub W; Lakhdari A; Suleiman B, 2021, 'Combating fake news by empowering fact-checked news spread via topology-based interventions.', CoRR, abs/2107.05016
    Journal articles | 2021
    Yaqub W; Mohanty M; Suleiman B, 2021, 'Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring.', CoRR, abs/2107.09373
    Journal articles | 2020
    AbdullGaffar B; Abdul Hameed B; Fodeh S; Sreeram R, 2020, 'Concomitant Gouty and Tuberculous Granulomatous Arthritis.', Int J Surg Pathol, 28, pp. 288 - 289, http://dx.doi.org/10.1177/1066896919865778
    Journal articles | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, 'NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent', , http://arxiv.org/abs/2003.08844v1
    Journal articles | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, 'Online Tensor-Based Learning for Multi-Way Data', , http://arxiv.org/abs/2003.04497v1
    Journal articles | 2020
    Lakhdari A; Bouguettaya A; Mistry S; Neiat AG; Suleiman B, 2020, 'Elastic Composition of Crowdsourced IoT Energy Services', , http://arxiv.org/abs/2011.06771v1
    Journal articles | 2011
    Suleiman B; Sakr S; Jeffery R; Liu A, 2011, 'On Understanding the Economics and Elasticity Challenges of Business Applications Deployed on Public Cloud Infrastructure', Journal of Internet Services and Applications, 4, pp. 1 - 21, http://dx.doi.org/10.1007/s13174-011-0050-y
    Journal articles | 2009
    Ishikawa F; Suleiman B; Yamamoto K; Honiden S, 2009, 'Physical interaction in pervasive computing: Formal modeling, analysis and verification', ICPS'09 - Proceedings of the 2009 International Conference on Pervasive Services and Co-located Workshops, pp. 133 - 140, http://dx.doi.org/10.1145/1568199.1568219
    Journal articles | 2009
    Suleiman B; Ishikawa F, 2009, 'A constraint-based approach for developing consistent contracts in composite services', SERVICES 2009 - 5th 2009 World Congress on Services, pp. 392 - 399, http://dx.doi.org/10.1109/SERVICES-I.2009.15
  • Preprints | 2025
    Chen S; Bouadjenek MR; Jameel S; Naseem U; Suleiman B; Salim FD; Hacid H; Razzak I, 2025, Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification, http://arxiv.org/abs/2501.06827v1
    Preprints | 2024
    Baets CD; Suleiman B; Chitizadeh A; Razzak I, 2024, Vulnerability Detection in Smart Contracts: A Comprehensive Survey, http://arxiv.org/abs/2407.07922v1
    Conference Papers | 2024
    Liao Y; Jiang Y; Chen Z; Suleiman B, 2024, 'FeedbackPulse: GPT-Enabled Feedback Assistant for Software Engineering Educators', in Software Engineering Education Conference, Proceedings, http://dx.doi.org/10.1109/CSEET62301.2024.10662985
    Preprints | 2024
    Marrapese A; Suleiman B; Ullah I; Kim J, 2024, A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health, http://arxiv.org/abs/2403.09705v1
    Preprints | 2024
    Sankaran L; JS S; Suleiman B, 2024, Optimizing the agent decisions for a Cloud actuator using Deep reinforcement learning, http://dx.doi.org/10.21203/rs.3.rs-4000624/v1
    Preprints | 2024
    Suleiman B; Alibasa MJ; Purwanto RW; Jeffries L; Anaissi A; Song J, 2024, Optimisation of federated learning settings under statistical heterogeneity variations, http://arxiv.org/abs/2406.06340v1
    Conference Papers | 2024
    Suleiman B; Alibasa MJ; Wang A, 2024, 'Automated Assessment Tool for Teaching Web Application Developmen', in Software Engineering Education Conference, Proceedings, http://dx.doi.org/10.1109/CSEET62301.2024.10663049
    Conference Papers | 2024
    Sun J; Suleiman B; Ullah I, 2024, 'Effectiveness of Privacy-Preserving Algorithms for Large Language Models: A Benchmark Analysis', in 2024 21st Annual International Conference on Privacy, Security and Trust (PST), IEEE, pp. 1 - 8, presented at 2024 21st Annual International Conference on Privacy, Security and Trust (PST), 28 August 2024 - 30 August 2024, http://dx.doi.org/10.1109/pst62714.2024.10788045
    Conference Papers | 2023
    Anaissi A; Suleiman B, 2023, 'B2 -FedGAN: Balanced Bi-directional Federated GAN', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 380 - 392, http://dx.doi.org/10.1007/978-3-031-35995-8_27
    Preprints | 2023
    Jia Y; Anaissi A; Suleiman B, 2023, ResNLS: An Improved Model for Stock Price Forecasting, http://dx.doi.org/10.1111/coin.12608
    Conference Papers | 2023
    Suleiman B; Fulwala MM; Zomaya A, 2023, 'A Framework for Characterizing Very Large Cloud Workload Traces with Unsupervised Learning', in IEEE International Conference on Cloud Computing, CLOUD, pp. 129 - 140, http://dx.doi.org/10.1109/CLOUD60044.2023.00023
    Preprints | 2023
    Ullah I; Hassan N; Gill SS; Suleiman B; Ahanger TA; Shah Z; Qadir J; Kanhere SS, 2023, Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework, http://arxiv.org/abs/2310.12523v1
    Conference Papers | 2023
    Yaqub W; Mohanty M; Suleiman B, 2023, 'Proctoring Online Exam Using Eye Tracking', in Proceedings of the International Conference on Security and Cryptography, pp. 738 - 745, http://dx.doi.org/10.5220/0012120600003555
    Preprints | 2023
    Zhang Y; Suleiman B; Alibasa MJ; Farid F, 2023, Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach, http://dx.doi.org/10.21203/rs.3.rs-3062769/v1
    Preprints | 2022
    Ahamed F; Farid F; Suleiman B; Jan Z; Wahsheh LA; Shahrestani S, 2022, An Intelligent Multimodal Biometric Authentication Model for Personalised Healthcare Services, http://dx.doi.org/10.20944/preprints202206.0223.v1
    Preprints | 2022
    Anaissi A; Zandavi SM; Suleiman B; Alyassine W; Braytee A; Vafaee F, 2022, A Benchmark of Pre-processing Effect on Single Cell RNA Sequencing Integration Methods, http://dx.doi.org/10.21203/rs.3.rs-2249309/v1
    Conference Papers | 2022
    Huang H; Suleiman B; Yaqub W, 2022, 'Hotspots Recommender: Spatio-Temporal Prediction of Ride-Hailing and Taxicab Services', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 81 - 94, http://dx.doi.org/10.1007/978-3-031-20891-1_7
    Preprints | 2022
    Liu X; Gao B; Suleiman B; You H; Ma Z; Liu Y; Anaissi A, 2022, Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach, http://arxiv.org/abs/2203.12200v1
    Conference Papers | 2022
    Sankaran L; Saleema JS; Suleiman B, 2022, 'Analysis of Workloads for Cloud Services', in Proceedings - 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2022, pp. 117 - 123, http://dx.doi.org/10.1109/BCD54882.2022.9900564
    Conference Papers | 2022
    Yaqub W; Mohanty M; Suleiman B, 2022, 'Privacy-Preserving Online Proctoring using Image-Hashing Anomaly Detection', in 2022 International Wireless Communications and Mobile Computing, IWCMC 2022, pp. 1113 - 1118, http://dx.doi.org/10.1109/IWCMC55113.2022.9825119
    Conference Papers | 2021
    Anaissi A; Suleiman B; Naji M, 2021, 'Intelligent Structural Damage Detection: A Federated Learning Approach', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 155 - 170, http://dx.doi.org/10.1007/978-3-030-74251-5_13
    Preprints | 2021
    Anaissi A; Suleiman B; Zandavi SM, 2021, A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification, http://arxiv.org/abs/2111.02632v1
    Preprints | 2021
    Anaissi A; Suleiman B, 2021, A Personalized Federated Learning Algorithm: an Application in Anomaly Detection, http://arxiv.org/abs/2111.02627v1
    Conference Papers | 2021
    Suleiman B; Anaissi A; Zhan B; Alibasa MJ, 2021, 'Intelligent Failure Prediction in Industrial Vehicles', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533898
    Preprints | 2021
    Wang K; Yaqub W; Lakhdari A; Suleiman B, 2021, Combating fake news by empowering fact-checked news spread via topology-based interventions, http://arxiv.org/abs/2107.05016v1
    Preprints | 2021
    Yaqub W; Mohanty M; Suleiman B, 2021, Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring, http://arxiv.org/abs/2107.09373v1
    Conference Papers | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, 'Online Tensor Decomposition with optimized Stochastic Gradient Descent: An Application in Structural Damage Identification', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1257 - 1264, http://dx.doi.org/10.1109/SSCI47803.2020.9308310
    Preprints | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent, http://dx.doi.org/10.48550/arxiv.2003.08844
    Preprints | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, Online Tensor-Based Learning for Multi-Way Data, http://dx.doi.org/10.48550/arxiv.2003.04497
    Conference Papers | 2020
    Lakhdari A; Bouguettaya A; Mistry S; Ghari Neiat AG; Suleiman B, 2020, 'Elastic composition of crowdsourced IoT energy services', in ACM International Conference Proceeding Series, pp. 308 - 317, http://dx.doi.org/10.1145/3448891.3448922
    Preprints | 2020
    Lakhdari A; Bouguettaya A; Mistry S; Neiat AG; Suleiman B, 2020, Elastic Composition of Crowdsourced IoT Energy Services, http://dx.doi.org/10.48550/arxiv.2011.06771
    Conference Papers | 2013
    Suleiman B; Venugopal S, 2013, 'Modeling Performance of Elasticity Rules for Cloud-Based Applications', in Gašević D; Hatala M; Motahari Nezhad HR; Reichert M (eds.), 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2013), IEEE Computer Society, Vancouver, Canada, pp. 201 - 206, presented at 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC), Vancouver, Canada, 09 September 2013 - 13 September 2013, http://dx.doi.org/10.1109/EDOC.2013.31
    Conference Papers | 2012
    Suleiman B; Sakr S; Venugopal S; Sadiq W, 2012, 'Trade-off Analysis of Elasticity Approaches for Cloud-based Business Applications', in Web Information Systems Engineering -- WISE 2012, Springer-Verlag, eidelberg, Germany, pp. 468 - 482, presented at The 13th International Conference on Web Information System Engineering (WISE 2012), Paphos, Cyprus, 28 November 2012 - 30 November 2012, http://dx.doi.org/10.1007/978-3-642-35063-4_34
    Conference Papers | 2012
    Suleiman B, 2012, 'Elasticity Economics of Cloud-based Applications', IEEE Computer Society, USA, presented at International Conference on Service Computing, Honolulu, Hawaii, USA, 24 June 2012 - 29 June 2012
    Conference Papers | 2011
    Suleiman B; Eduardo da silva C; Sakr S, 2011, 'One Size Does Not Fit All: A Group-Based Service Selection for Web-based Business Processes', in Proceedings 2011 25th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2011), IEEE Computer Society, Los Alamitos, CA, USA, pp. 253 - 260, presented at 2011 25th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2011), Biopolis, Singapore, 22 March 2011 - 25 March 2011, http://dx.doi.org/10.1109/WAINA.2011.106
    Conference Papers | 2010
    Suleiman B; Tosic V; Jeffery DR; Liu J, 2010, 'Models and algorithms for business value-driven adaptation of business processes and software infrastructure', in Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, ACM, Cape Town, South Africa, presented at 32st International Conference on Software Engineering - Volume 2, ICSE 2010, Cape Town, South Africa, 02 May 2010 - 08 May 2010, http://dx.doi.org/10.1109/ICSE-COMPANION.2009.5071028
    Conference Papers | 2009
    Suleiman B; Tosic V, 2009, 'Integration of UML modeling and policy-driven management of web service systems', in Proceedings of the 2009 ICSE Workshop on Principles of Engineering Service Oriented Systems, PESOS 2009, IEEE Computer Society, Washington, DC, USA, presented at ICSE Workshop on Principles of Engineering Service Oriented Systems, PESOS 2009, Vancouver, BC, Canada, 18 May 2009 - 19 May 2009, http://dx.doi.org/10.1109/PESOS.2009.5068823
    Conference Papers | 2008
    Suleiman B, 2008, 'Commercial off-the-shelf software development', in 19th Australian software engineering conference, Perth, WA, presented at 19th Australian software engineering conference, Perth, WA, 25 March 2008 - 28 March 2008
    Conference Papers | 2008
    Tosic V; Aliev E; Suleiman B, 2008, 'Non-functional property specification for WRIGHT ADL', in 2008 IEEE international conference on computer and information technology, Sydney, presented at 8th IEEE International Conference on Computer and Information Technology, (CIT 2008), Sydney, 08 July 2008 - 11 July 2008
    Conference Papers | 2007
    Suleiman B; Aliev E; Tosic V, 2007, 'Time-Quality Metric Model for Quality Measurement of Web-Based Systems', in 14th Asia-Pacific Software Engineering Conference (APSEC'07), IEEE, presented at 14th Asia-Pacific Software Engineering Conference (APSEC'07), 04 December 2007 - 07 December 2007, http://dx.doi.org/10.1109/apsec.2007.94
    Conference Papers | 2007
    Suleiman B; Aliev E; Tosic V, 2007, 'Time-quality metric model for quality measurement of web-based systems', in 14TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE, PROCEEDINGS, IEEE COMPUTER SOC, JAPAN, Nagoya, pp. 566 - 566, presented at 14th Asia-Pacific Software Engineering Conference, JAPAN, Nagoya, 04 December 2007 - 07 December 2007, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000252738800077&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2007
    Tosic V; Suleiman B; Lutfiyya H, 2007, 'UML Profiles for WS-Policy4MASC as Support for Business Value Driven Engineering and Management of Web Services and their Compositions', in 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007), IEEE, presented at 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007), 15 October 2007 - 19 October 2007, http://dx.doi.org/10.1109/edoc.2007.4383990

I am driven by the vision of creating intelligent, human-centered AI solutions that enhance the way we interact with digital services, learn, and make decisions. My research explores how Applied AI, Generative AI, and Machine Learning can revolutionize Web Information Services, Human-Machine Interaction, and Education Technologies, making them more adaptive, inclusive, and impactful.

Imagine a world where AI-driven web services understand user needs, personalize experiences, and enhance decision-making—where recommender systems go beyond predicting preferences to proactively guide users in meaningful ways. I inspire ideas from real-world problems and needs with the goal to develop world-class solutions that contribute to making positive impact on societies and environment. My research is motivated by designing and developing innovative AI models for the web including human-centered services, human-machine interaction services, recommender services, service personalization. I am also interested in applying the research outcomes to important fields such as education, healthcare and government. In recent years, I have designed, developed, and evaluated innovative AI models, algorithms, and software/information systems to address critical challenges in web information services, recommendation service and personalisation, and human-machine interaction using Machine and Deep Learning, and recently Large Language Models (LLMs).

I welcome industry collaborations, interdisciplinary partnerships, and ambitious PhD candidates to join me in exploring the potential of intelligent systems that shape the future of digital services and learning. 

As a researcher and educator at the School of Computer Science & Engineering, I co-lead the the Software Engineering Program and Industry Capstone Projects. I actively collaborate with industry partners, researchers, and PhD candidates to advance AI-driven Intelligent Software Services and Applied AI, including Generative AI, LLMs, Machine Learning, and Predictive Analytics. My research focuses on developing human-centered AI solutions for sectors such as FinTech, education, and digital services, driving innovation through personalisation, automation, and intelligent decision-making.

I engage with industry through research collaborations, funding partnerships, and co-development initiatives, and applying cutting-edge AI methods to solve real-world challenges. I also facilitate capstone and industry projects, bridging academia and industry by mentoring students on applied AI solutions with direct industry impact.

For researchers and PhD candidates, I offer opportunities to explore AI-based Web Services, Human-Machine Interaction, and AI in Education Technologies, leveraging interdisciplinary collaboration to create scalable, ethical, and impactful AI solutions.

I welcome industry partnerships, research collaborations, and talented PhD candidates eager to drive innovation and contribute to AI’s positive societal and environmental impact. Let’s collaborate to shape the future of intelligent services and AI-driven technologies.

My Research Supervision

 

  • Arthur Chen, Ph.D. (2025 – 2028), Primary Supervisor. Leveraging Large Language Models for Enhanced Experience in Educational Domains. University of New South Wales
  • Minhua Zhou, Ph.D. (2025 – 2028), Joint Supervisor. Thesis: Microservice Sharing, Validation and Development for Collaborative Analytics. University of New South Wales
  • Yuyan Wang, Ph.D. (2025 – 2028), Joint Supervisor. Thesis: Analyzing the Impact of ESG Using AI Methods. University of New South Wales
  • Piyavachara Nacchanandana, M.Phil (2024 – 2026), Primar Supervisor. Thesis: Design Patterns for Fine-tunning Large Language Models for Teaching and Learning. University of New South Wales.
  • Ali Alyatimi, Ph.D. (2023 – 2026), External Supervisor. Thesis: Multi-Omics Data Integration for Disease Diagnosis Using Deep Learning. University of Sydney
  • Muhammad Iqbal, Ph.D. (2023 – 2026), External Supervisor. Thesis: Collaborative Classification for Rare Diseases Across Distributed Healthcare Institutes. University of Sydney
  • Aya Tafech, Ph.D. part-time (2022 – 2028), Joint Supervisor. Thesis: Anomaly Detection and Categorisation in Financial Regulatory Reporting. University of New South Wales
  • MingqinYu, Ph.D. (2021 – 2024), Joint Supervisor. Thesis: an ESG metrics management system for sustainable financial applications.
  • Lakshmi Sankaran, Ph.D. (2020 – 202), External Supervisor.  Thesis: Elastic Intelligent Cloud Architecture for Academic Community Infrastructure. Christ University.

My Teaching

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  • Computer Science Capstone Project – COMP3900 
  • IT Capstone Project – COMP9900 
  • Engineering Desing and Professional Practice – DESN2000 
  • Software Engineering Workshop 3 – SENG3310 
  • Postgraduate Engineering Research Essentials – GOSE9400
  • Software Engineering Workshop 1 – SENG1031 
  • Agile Software Development Practices 
  • Computing 4 Innovation
  • Software Development Capstone Project
  • Advanced Computer Science Capstone Project
  • Enterprise Scale Software Architecture
  •