College of Information Technology
United Arab Emirates University

Recent Publications
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Kaafarani, Rima, Leila Ismail, and Oussama Zahwe. "Automatic Recommender System of Development Platforms for Smart Contract–Based Health Care Insurance Fraud Detection Solutions: Taxonomy and Performance Evaluation." Journal of Medical Internet Research (2024) http://doi.org/10.2196/50730 [PDF]
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Shahin, Nada, and Leila Ismail. "From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation." Artificial Intelligence Review (2024). https://doi.org/10.1007/s10462-024-10895-z [PDF]
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Fernando, Duneesha, Maria A Rodriguez, Patricia Arroba, Leila Ismail, Rajkumar Buyya. "Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments." ArXiv (2024). https://doi.org/10.48550/arXiv.2408.12855 [PDF]
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Alshatri, Najlaa, Leila Ismail, Farookh Khadeer Hussain. "A Systematic Review of the External Influence Factors in Multifactor Analysis and the Prediction of Carbon Credit Prices." International Conference on Complex, Intelligent, and Software Intensive Systems (2024). https://doi.org/10.1007/978-3-031-70011-8
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Ismail, Leila, Huned Materwala, Fida Dankar. "Machine Learning and Deep Learning Data-Driven Residential Load Multi-Level Forecasting with Univariate and Multivariate Time Series Models Towards Sustainable Smart Homes." IEEE Access (2024). https://doi.org/10.1109/ACCESS.2024.3383958 [PDF]
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Hennebelle, Alain, Leila Ismail, Huned Materwala, Juma Al Kaabi, Priya Ranjan, and Rajiv Janardhanan. "Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction." Computational and Structural Biotechnology Journal (2024). https://doi.org/10.1016/j.csbj.2023.11.038 [PDF]
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Shahin, Nada, and Leila Ismail. "ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions." International Symposium on Networks, Computers and Communications (ISNCC) (2024). https://doi.org/10.1109/ISNCC58260.2023.10323974 [PDF]
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Hennebelle, Alain, Leila Ismail, and Tanya Linden. "Schools Students Performance with Artificial Intelligence Machine Learning: Features Taxonomy, Methods and Evaluation." Khine, M.S. (eds) Machine Learning in Educational Sciences. Springer, Singapore. (2024). https://doi.org/10.1007/978-981-99-9379-6_6 [PDF]
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Ismail, Leila, Nada Shahin, Huned Materwala, Alain Hennebelle, and Lea Frermann. "ML-NLPEmot: Machine Learning-Natural Language Processing (NLP) Event-based Emotion Detection Proactive Framework Addressing Mental Health." IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3343121
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Shahin, Nada, and Leila Ismail. "ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions." International Symposium on Networks, Computers and Communications (2023). https://doi.org/10.1109/ISNCC58260.2023.10323974
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Materwala, Huned, Leila Ismail, and Hossam S. Hassanein. "QoS-SLA-aware adaptive genetic algorithm for multi-request offloading in integrated edge-cloud computing in Internet of vehicles." Vehicular Communications 43 (2023): 100654. https://doi.org/10.1016/j.vehcom.2023.100654
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Ismail, Leila, and Rajkumar Buyya. "Metaverse: A Vision, Architectural Elements, and Future Directions for Scalable and Realtime Virtual Worlds." arXiv preprint. (2023). https://doi.org/10.48550/arXiv.2308.10559
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Ismail, Leila, Nada Shahin, Huned Materwala, Alain Hennebelle, and Lea Frermann. "ML-SocMedEmot: Machine Learning Event-based Social Media Emotion Detection Proactive Framework Addressing Mental Health: A Novel Twitter Dataset and Case Study of COVID-19." (2023). Preprints. https://doi.org/10.20944/preprints202307.1098.v1
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Ismail, Leila, Rima Kaafarani, and Oussama Zahwe. "Automatic Recommender System for Smart-Contracts-based Healthcare Insurance Fraud Detection Development Platform: Design, Implementation, and Performance Evaluation." JMIR Preprints. (2023). http://doi.org/10.2196/preprints.50730
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Buyya, Rajkumar, Satish N. Srirama, Redowan Mahmud, Mohammad Goudarzi, Leila Ismail, and Vassilis Kostakos. "Quality of Service (QoS)-Driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements, and Future Directions." International Conference on Communication, Electronics and Digital Technology. Singapore: Springer Nature Singapore. (2023): 1-23. https://doi.org/10.1007/978-981-99-1699-3_1
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Ismail, Leila, and Muhammad Danish Waseem. "Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation." Procedia Computer Science 220 (2023): 339-347. https://doi.org/10.1016/j.procs.2023.03.044
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Kaafarani, Rima, Leila Ismail, and Oussama Zahwe. "An Adaptive Decision-Making Approach for Better Selection of Blockchain Platform for Health Insurance Frauds Detection with Smart Contracts: Development and Performance Evaluation." Procedia Computer Science 220 (2023): 470-477. https://doi.org/10.1016/j.procs.2023.03.060
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Hennebelle, Alain, Huned Materwala, and Leila Ismail. "HealthEdge: a machine learning-based smart healthcare framework for prediction of type 2 diabetes in an integrated IoT, edge, and cloud computing system." Procedia Computer Science 220 (2023): 331-338. https://doi.org/10.1016/j.procs.2023.03.043
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Chomutare, Taridzo, Miguel Tejedor, Therese Olsen Svenning, Luis Marco-Ruiz, Maryam Tayefi, Karianne Lind, Fred Godtliebsen, Anne Moen, Leila Ismail, Alexandra Makhlysheva, and Phuong Dinh Ngo "Artificial intelligence implementation in healthcare: A theory-based scoping review of barriers and facilitators." International Journal of Environmental Research and Public Health 19, no. 23 (2022): 16359. https://doi.org/10.3390/ijerph192316359
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Ismail, Leila, Alain Hennebelle, Huned Materwala, Juma Al Kaabi, Priya Ranjan, and Rajiv Janardhanan. "Secure and Privacy-Preserving Automated End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction." arXiv preprint arXiv:2211.07643 (2022). https://doi.org/10.48550/arXiv.2211.07643
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Hennebelle, Alain, Leila Ismail, Huned Materwala, Juma Al Kaabi, Priya Ranjan, and Rajiv Janardhanan. "Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction." arXiv e-prints (2022): arXiv-2211. https://doi.org/10.48550/arXiv.2211.07643
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Hammad, Hamza, Iffat Elbarazi, Malik Bendak, Khaled Obaideen, Asma Amanatullah, Bibi Sara Badshah Khan, Leila Ismail, Alex Kieu, and Moien Ab Khan. "Influence of religiosity on youths’ attitudes towards people with disabilities in the United Arab Emirates." Journal of Religion and Health (2022): 1-20. https://doi.org/10.1007/s10943-022-01646-x
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Ismail, Leila, Huned Materwala, Yousef Al Hammadi, Farshad Firouzi, Gulfaraz Khan, and Saaidal Razalli Bin Azzuhri. "Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections—Performance evaluation." Frontiers in Medicine 9 (2022): 871885. https://doi.org/10.3389/fmed.2022.871885
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Ismail, Leila, Huned Materwala, and Alain Hennebelle. "Forecasting COVID-19 infections in gulf cooperation council (GCC) countries using machine learning." In Proceedings of the 13th International Conference on Computer Modeling and Simulation, pp. 231-236. 2021. https://doi.org/10.1145/3474963.3475844
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Ismail, Leila, and Huned Materwala. "From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation." In 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1-7. IEEE (2022). https://doi.org/10.1109/COINS54846.2022.9854961
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Ismail, Leila, and Rajkumar Buyya. "Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions." Sensors 22, no. 15 (2022): 5750. https://doi.org/10.3390/s22155750
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Asna, Madathodika, Hussain Shareef, Munir Azam Muhammad, Leila Ismail, and Achikkulath Prasanthi. "Multi‐objective quantum atom search optimization algorithm for electric vehicle charging station planning." International Journal of Energy Research 46, no. 12 (2022): 17308-17331. https://doi.org/10.1002/er.8399
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Alasbali, Nada, Saaidal Razalli Bin Azzuhri, Rosli Bin Salleh, Miss Laiha Mat Kiah, Ahmad Aliff AS Ahmad Shariffuddin, Nik Muhammad Izwan bin Nik Mohd Kamel, and Leila Ismail. "Rules of smart IoT networks within smart cities towards blockchain standardization." Mobile Information Systems 2022 (2022): 1-11. https://doi.org/10.1155/2022/9109300
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Dankar, Fida K., Mahmoud K. Ibrahim, and Leila Ismail. "A multi-dimensional evaluation of synthetic data generators." IEEE Access 10 (2022): 11147-11158. https://doi.org/10.1109/ACCESS.2022.3144765
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Materwala, Huned, Leila Ismail, Raed M. Shubair, and Rajkumar Buyya. "Energy-SLA-aware genetic algorithm for edge–cloud integrated computation offloading in vehicular networks." Future Generation Computer Systems 135 (2022): 205-222. https://doi.org/10.1016/j.future.2022.04.009
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Ismail, Leila, Huned Materwala, and Hossam S Hassanein. "QoS-SLA-Aware Artificial Intelligence Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing System for the Internet of Vehicles." Constraints 19 (2022): 25.
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Ismail, Leila, Huned Materwala, Maryam Tayefi, Phuong Ngo, Achim P Karduck. "Type 2 diabetes with artificial intelligence machine learning: methods and evaluation." Arch Computat Methods Eng (2020): 313–333 . https://doi.org/10.1007/s11831-021-09582-x
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Mershad, Khaleel, Omar Cheikhrouhou, and Leila Ismail. "Proof of accumulated trust: A new consensus protocol for the security of the IoV." Vehicular Communications 32 (2021): 100392. https://doi.org/10.1016/j.vehcom.2021.100392
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Ismail, Leila, and Sherali Zeadally. "Healthcare Insurance Frauds: Taxonomy and Blockchain-based Detection Framework (Block-HI)." IT Professional 23, no. 4 (2021): 36-43. 10.1109/MITP.2021.3071534 [PDF]
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Ismail, Leila, and Huned Materwala. "ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks." Sensors 21, no. 15 (2021): 5233. https://doi.org/10.3390/s21155233
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Ismail, Leila, Huned Materwala, and Alain Hennebelle. "Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning." In 2021 The 13th International Conference on Computer Modeling and Simulation, pp. 231-236. 2021. https://doi.org/10.1145/3474963.3475844
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Ismail, Leila, and Huned Materwala. "IDMPF: intelligent diabetes mellitus prediction framework using machine learning." Applied Computing and Informatics (2021). https://doi.org/10.1108/ACI-10-2020-0094
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Ismail, Leila, Huned Materwala, and Alain Hennebelle. "A Scoping Review of Integrated Blockchain-Cloud (BcC) Architecture for Healthcare: Applications, Challenges and Solutions." Sensors 21, no. 11 (2021): 3753. https://doi.org/10.3390/s21113753
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Materwala, Huned, and Leila Ismail. "Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers." arXiv preprint arXiv:2105.00843 (2021). arXiv:2105.00843
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Ismail, Leila, Huned Materwala, Maryam Tayefi, Phuong Ngo, and Achim P. Karduck. "Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation." Archives of Computational Methods in Engineering (2021): 1-21. https://doi.org/10.1007/s11831-021-09582-x
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Ismail, Leila, Huned Materwala, and Alain Hennebelle. "Comparative Analysis of Machine Learning Models for Students’ Performance Prediction." In International Conference on Advances in Digital Science, pp. 149-160. Springer, Cham, 2021. https://doi.org/10.1007/978-3-030-71782-7_14
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Ismail, Leila, and Huned Materwala. "Machine Learning-based Energy-Aware Offloading in Edge-Cloud Vehicular Networks." Procedia Computer Science 191 (2021): 328-336. https://doi.org/10.1016/j.procs.2021.07.044
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Ismail, Leila, Huned Materwala, and Juma Al Kaabi. "Association of risk factors with type 2 diabetes: A systematic review." Computational and Structural Biotechnology Journal 19 (2021): 1759. https://doi.org/10.1016/j.csbj.2021.03.003
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Ismail, Leila, Shaikhah Alhmoudi, and Sumyah Alkatheri. "Time Series Forecasting of COVID-19 Infections in United Arab Emirates using ARIMA." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 801-806. IEEE, 2020. 10.1109/CSCI51800.2020.00150 [PDF]
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Ismail, Leila, and Huned Materwala. "Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 527-533. IEEE, 2020. 10.1109/CSCI51800.2020.00095 [PDF]
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Ismail, Leila, and Huned Materwala. "IoT-Edge-Cloud Computing Framework for QoS-Aware Computation Offloading in Autonomous Mobile Agents: Modeling and Simulation." In International Conference on Mobile, Secure, and Programmable Networking, pp. 161-176. Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-67550-9_11
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Ismail, Leila, Huned Materwala, and Youssef Sharaf. "BlockHR–A Blockchain-based Healthcare Records Management Framework: Performance Evaluation and Comparison with Client/Server Architecture." In 2020 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1-8. IEEE, 2020. 10.1109/ISNCC49221.2020.9297216
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Ismail, Leila, and Huned Materwala. "Blockchain paradigm for healthcare: Performance evaluation." Symmetry 12, no. 8 (2020): 1200. https://doi.org/10.3390/sym12081200
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Ismail, Leila, Huned Materwala, and Moien AB Khan. "Performance Evaluation of a Patient-Centric Blockchain-based Healthcare Records Management Framework." In Proceedings of the 2020 2nd International Electronics Communication Conference, pp. 39-50. 2020. https://doi.org/10.1145/3409934.3409941
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Ismail, Leila, and Huned Materwala. "BlockHR: A Blockchain-based Framework for Health Records Management." In Proceedings of the 12th International Conference on Computer Modeling and Simulation, pp. 164-168. 2020. https://doi.org/10.1145/3408066.3408106
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Ismail, Leila, and Huned Materwala. "Computing server power modeling in a data center: Survey, taxonomy, and performance evaluation." ACM Computing Surveys (CSUR) 53, no. 3 (2020): 1-34. https://doi.org/10.1145/3390605
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Ismail, Leila, and Huned Materwala. "Artificial Intelligent Agent for Energy Savings in Cloud Computing Environment: Implementation and Performance Evaluation." In Agents and Multi-Agent Systems: Technologies and Applications 2020, pp. 127-140. Springer, Singapore, 2020. https://doi.org/10.1007/978-981-15-5764-4_12
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Ismail, Leila, Huned Materwala, Taieb Znati, Sherzod Turaev, and Moien AB Khan. "Tailoring time series models for forecasting coronavirus spread: Case studies of 187 countries." Computational and Structural Biotechnology Journal 18 (2020): 2972-3206. https://doi.org/10.1016/j.csbj.2020.09.015
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Ismail, Leila, Huned Materwala, Achim P. Karduck, and Abdu Adem. "Requirements of health data management systems for biomedical care and research: scoping review." Journal of medical Internet research 22, no. 7 (2020): e17508. doi:10.2196/17508
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Ismail, Leila, and Eyad H. Abed. "Linear power modeling for cloud data centers: taxonomy, locally corrected linear regression, simulation framework and evaluation." IEEE Access 7 (2019): 175003-175019. 10.1109/ACCESS.2019.2956881
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Ismail, Leila, and Huned Materwala. "A review of blockchain architecture and consensus protocols: Use cases, challenges, and solutions." Symmetry 11, no. 10 (2019): 1198. https://doi.org/10.3390/sym11101198
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Ismail, Leila, Heba Hameed, Mahra AlShamsi, Manayer AlHammadi, and Noura AlDhanhani. "Towards a blockchain deployment at uae university: Performance evaluation and blockchain taxonomy." In Proceedings of the 2019 International Conference on Blockchain Technology, pp. 30-38. 2019. https://doi.org/10.1145/3320154.3320156
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Ismail, Leila, Huned Materwala, and Sherali Zeadally. "Lightweight blockchain for healthcare." IEEE Access 7 (2019): 149935-149951. 10.1109/ACCESS.2019.2947613
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Ismail, Leila, and Huned Materwala. "Energy-aware vm placement and task scheduling in cloud-iot computing: Classification and performance evaluation." IEEE Internet of Things Journal 5, no. 6 (2018): 5166-5176. 10.1109/JIOT.2018.2865612 [PDF]
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Ismail, Leila, and Huned Materwala. "EATSVM: energy-aware task scheduling on cloud virtual machines." Procedia Computer Science 135 (2018): 248-258. https://doi.org/10.1016/j.procs.2018.08.172
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Ismail, Leila, and Liren Zhang, eds. "Information innovation technology in smart cities." Springer Singapore, 2018. 10.1007/978-981-10-1741-4
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Ismail, Leila, and Abbas A. Fardoun. "Towards energy-aware task scheduling (EATS) framework for divisible-load applications in cloud computing infrastructure." In 2017 Annual IEEE International Systems Conference (SysCon), pp. 1-6. IEEE, 2017. 10.1109/SYSCON.2017.7934791
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Ismail, Leila, and Abbas A. Fardoun. "Energy-aware task scheduling (EATS) framework for efficient energy in smart cities cloud computing infrastructures." Int. J. of Thermal & Environmental Engineering 13, no. 1 (2016): 37-48. 10.5383/ijtee.13.01.007
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Ismail, Leila, and Abbas Fardoun. "Eats: Energy-aware tasks scheduling in cloud computing systems." Procedia Computer Science 83 (2016): 870-877. https://doi.org/10.1016/j.procs.2016.04.178
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Ismail, Leila, and Latifur Khan. "Implementation and performance evaluation of a scheduling algorithm for divisible load parallel applications in a cloud computing environment." Software: Practice and Experience 45, no. 6 (2015): 765-781. https://doi.org/10.1002/spe.2258
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Ismail, Leila, Mohammad M. Masud, and Latifur Khan. "FSBD: a framework for scheduling of big data mining in cloud computing." In 2014 IEEE International Congress on Big Data, pp. 514-521. IEEE, 2014. 10.1109/BigData.Congress.2014.81
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Ismail, Leila, Jamal Abou-Kassem, and Bibrak Qamar. "Implementation and performance analysis of a parallel oil reservoir simulator tool using a CG method on a GPU-based system." In 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, pp. 375-380. IEEE, 2014. 10.1109/UKSim.2014.113
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Guetl, Christian, Leila Ismail, and Cary Lexar. "Track A: foundations of digital ecosystems and complex environment engineering." In 2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST), pp. 1-1. IEEE, 2013. 10.1109/DEST.2013.6611308
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Ismail, Leila, and Rajeev Barua. "Implementation and performance evaluation of a distributed conjugate gradient method in a cloud computing environment." Software: Practice and Experience 43, no. 3 (2013): 281-304. https://doi.org/10.1002/spe.2112
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Ismail, Leila. "Performance versus Cost of a Parallel Conjugate Gradient Method in Cloud and Commodity Clusters." IJCSNS 12, no. 11 (2012): 25.
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Ismail, Leila, and Liren Zhang. "Modeling and performance analysis to predict the behavior of a divisible load application in a cloud computing environment." algorithms 5, no. 2 (2012): 289-303. https://doi.org/10.3390/a5020289
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Ismail, Leila. "A ring-based parallel oil reservoir simulator." Scalable Computing: Practice and Experience 13, no. 1 (2012): 85-98.
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Ismail, Leila, Liren Zhang, Khaled Shuaib, and Sameer Bataineh. "Performance evaluation of a dynamic single round scheduling algorithm for divisible load applications." In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), p. 1. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2012.
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Ismail, Leila, and Driss Guerchi. "Performance evaluation of convolution on the cell broadband engine processor." IEEE Transactions on parallel and distributed systems 22, no. 2 (2010): 337-351. 10.1109/TPDS.2010.70
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Ismail, Leila. "Communication issues in parallel conjugate gradient method using a star-based network." In 2010 International Conference on Computer Applications and Industrial Electronics, pp. 350-355. IEEE, 2010. 10.1109/ICCAIE.2010.5735102
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Ismail, Leila, and Liren Zhang. "Modeling and Performance Analysis to Predict the Behavior of a Divisible Load Application in a Star Network Cloud." In 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation, pp. 369-374. IEEE, 2010. 10.1109/EMS.2010.67
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Ismail, Leila, and Jamal H. Abou-Kassem. "Toward an automatic Load balanced distribution model in Conjugate gradient method for one-dimensional one-phase oil Reservoir simulation." In 2010 10th IEEE International Conference on Computer and Information Technology, pp. 2958-2963. IEEE, 2010. 10.1109/CIT.2010.494
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Ismail, Leila, and Khaled Shuaib. "Empirical Study for Communication Cost of Parallel Conjugate Gradient on a Star-Based Network." In 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, pp. 498-503. IEEE, 2010. 10.1109/AMS.2010.101