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Publications

 Journal Papers:

  • M. Abdallah, M. A. Talib, M. Hosny, O. A. Waraga, Q. Nasir, M. A. Arshad, “Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations", Advanced Engineering Informatics, vol. 53, p.101707, 2022, doi: 10.1016/j.aei.2022.101707
  • P. Easom-McCaldin, A. Bouridane, A. Belatreche, R. Jiang, and S. Al-Maadeed, “Efficient Quantum Image Classification Using Single Qubit Encoding," IEEE Trans. Neural Networks Learn. Syst., pp. 1–15, 2022, doi: 10.1109/TNNLS.2022.3179354.
  • Y. Akbari, S. Al-maadeed, O. Elharrouss, F. Khelifi, A. Lawgaly, and A. Bouridane, “Digital forensic analysis for source video identification: A survey," Forensic Sci. Int. Digit. Investig., vol. 41, p. 301390, 2022, doi: https://doi.org/10.1016/j.fsidi.2022.301390.
  • R. Jiang, P. Chazot, N. Pavese, D. Crookes, A. Bouridane, and M. E. Celebi, “Private Facial Prediagnosis as an Edge Service for Parkinson's DBS Treatment Valuation," IEEE J. Biomed. Heal. Informatics, vol. 26, no. 6, pp. 2703–2713, 2022, doi: 10.1109/JBHI.2022.3146369.
  • O. Mahdi and A. B. Nassif, “Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet," in 2022 Advances in Science and Engineering Technology International Conferences (ASET), 2022, pp. 1–6, doi: 10.1109/ASET53988.2022.9734997.
  • M. Azzeh, A. B. Nassif, Y. Elsheikh, and L. Angelis, “On the value of project productivity for early effort estimation," Sci. Comput. Program., vol. 219, p. 102819, 2022, doi: https://doi.org/10.1016/j.scico.2022.102819.
  • Soudan, F. F. Dandachi, and A. B. Nassif, “Attempting cardiac arrest prediction using artificial intelligence on vital signs from Electronic Health Records," Smart Heal., vol. 25, p. 100294, 2022, doi: https://doi.org/10.1016/j.smhl.2022.100294.
  • M. Abu Talib, Q. Nasir, A. Bou Nassif, T. Mokhamed, N. Ahmed, and B. Mahfood, “APT beaconing detection: A systematic review," Comput. Secur., vol. 122, p. 102875, 2022, doi: https://doi.org/10.1016/j.cose.2022.102875.
  • B. Nassif, Q. Nasir, M. A. Talib, and O. M. Gouda, “Improved Optical Flow Estimation Method for Deepfake Videos," Sensors, vol. 22, no. 7. 2022, doi: 10.3390/s22072500.
  • S. Abbas, M. A. Talib, A. Ahmed, F. Khan, S. Ahmad, and D.-H. Kim, “Blockchain-Based Authentication in Internet of Vehicles: A Survey," Sensors, vol. 21, no. 23. 2021, doi: 10.3390/s21237927.
  • S. Abbas, Z. Raza, N. Siddiqui, F. Khan, and T. Whangbo, “Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT," Computers, Materials \& Continua , vol. 71, no. 2. 2022, doi: 10.32604/cmc.2022.023003.
  • M. Fayaz, G. Mehmood, A. Khan, S. Abbas, M. Fayaz, and J. Gwak, “Counteracting Selfish Nodes Using Reputation Based System in Mobile Ad Hoc Networks," Electronics, vol. 11, no. 2. 2022, doi: 10.3390/electronics11020185.
  • Hejji, M. A. Talib, A. B. Nassif, Q. Nasir, and A. Bouridane, “AI-based Models for Resource Allocation and Resource Demand Forecasting Systems in Aviation: A Survey and Analytical Study," in 2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), 2021, pp. 183–189, doi: 10.1109/IoTaIS53735.2021.9628555.
  • F. Ullah, M. Z. Khan, M. Faisal, H. U. Rehman, S. Abbas, and F. S. Mubarek, “An Energy Efficient and Reliable Routing Scheme to enhance the stability period in Wireless Body Area Networks," Comput. Commun., vol. 165, pp. 20–32, 2021.
  • B. Nassif, M. A. Talib, Q. Nasir, Y. Afadar, and O. Elgendy, “Breast cancer detection using artificial intelligence techniques: A systematic literature review," Artif. Intell. Med., vol. 127, p. 102276, 2022, doi: https://doi.org/10.1016/j.artmed.2022.102276.
  • N. Ahmed, M. A. Talib, and Q. Nasir, “SAPEM: Secure Attestation of Program Execution and Program Memory for IoT Applications," Computers, Materials \& Continua , vol. 67, no. 1. 2021, doi: 10.32604/cmc.2021.014523.
  • B. Nassif, M. A. Talib, Q. Nasir, H. Albadani, and F. M. Dakalbab, “Machine Learning for Cloud Security: A Systematic Review," IEEE Access, vol. 9, pp. 20717–20735, 2021, doi: 10.1109/ACCESS.2021.3054129.
  • P. Easom - McCaldin, A. Bouridane, A. Belatreche, and R. Jiang, “Towards Building a Facial Identification System Using Quantum Machine Learning Techniques," J. Adv. Inf. Technol., vol. 13, no. 2, pp. 198–202, Apr. 2022, doi: 10.12720/jait.13.2.198-202.
  • S. Abbas et al., “Improving security of the Internet of Things via RF fingerprinting based device identification system," Neural Computing and Applications. Springer, 2021.
  • M. Injadat, A. Moubayed, A. B. Nassif, and A. Shami, “Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection," IEEE Trans. Netw. Serv. Manag., vol. 18, no. 2, pp. 1803–1816, 2021, doi: 10.1109/TNSM.2020.3014929.
  • M. Azzeh, A. Nassif, and I. Attili, “Predicting software effort from use case points: A systematic review," Sci. Comput. Program., vol. 204, p. 102596, Apr. 2021, doi: 10.1016/j.scico.2020.102596.
  • M. Injadat, A. Moubayed, A. Nassif, and A. Shami, “Machine learning towards intelligent systems: applications, challenges, and opportunities," Artif. Intell. Rev., vol. 54, Jun. 2021, doi: 10.1007/s10462-020-09948-w.
  • M. Azzeh, A. B. Nassif, and C. L. Mart'in, “Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method," Softw. Qual. J., vol. 29, no. 2, pp. 309–336, Jun. 2021, doi: 10.1007/s11219-021-09547-0.
  • M. Abu Talib, A. M. Bettayeb, and R. I. Omer, “Analytical study on the impact of technology in higher education during the age  of COVID-19: Systematic literature review.," Educ. Inf. Technol., vol. 26, no. 6, pp. 6719–6746, 2021, doi: 10.1007/s10639-021-10507-1.
  • B. Nassif, M. A. Talib, Q. Nasir, and F. M. Dakalbab, “Machine Learning for Anomaly Detection: A Systematic Review," IEEE Access, vol. 9, pp. 78658–78700, 2021, doi: 10.1109/ACCESS.2021.3083060.
  • H. Hijazi, M. Abu Talib, A. Hasasneh, A. Bou Nassif, N. Ahmed, and Q. Nasir, “Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19," Sensors , vol. 21, no. 24. 2021, doi: 10.3390/s21248424.
  • M. Abdallah, M. A. Talib, S. Feroz, Q. Nasir, H. Abdalla, and B. Mahfood, "Artificial intelligence applications in solid waste management: A systematic research review," Waste Management, vol. 109, pp. 231–246, 2020.
  • A. Alketbi, Q. Nasir, and M. A. Talib, "Novel blockchain reference model for government services: Dubai government case study," International Journal of System Assurance Engineering and Management, pp. 1–22, 2020.
  • O. A. Waraga, M. Bettayeb, Q. Nasir, and M. A. Talib, "Design and implementation of automated IoT security testbed," Computers & Security, vol. 88, p. 101648, 2020.
  • J. Al Ali, Q. Nasir, and F. T. Dweiri, "Business continuity framework for Internet of Things (IoT) Services," International Journal of System Assurance Engineering and Management, pp. 1–15, 2020.
  • M. A. Talib, A. Alsaafin, and S. M. Medjden, "Application of Quality in Use Model to Evaluate the User Experience of Online Banking Software," Journal of Cases on Information Technology (JCIT), vol. 22, no. 2, pp. 34–51, 2020.
  • M. A. Talib, "Open Source Software in the Arab World: A Literature Survey," in Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, IGI Global, 2020, pp. 1646–1663.
  • M. Lataifeh, A. Elnagar, I. Shahin, and A. B. Nassif, "Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations," Neurocomputing, vol. 418, pp. 162–177, 2020.
  • M. Injadat, A. Moubayed, A. B. Nassif, and A. Shami, "Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection," IEEE Transactions on Network and Service Management, 2020.
  • M. Injadat, A. Moubayed, A. B. Nassif, and A. Shami, "Systematic ensemble model selection approach for educational data mining," Knowledge-Based Systems, p. 105992, 2020.
  • C. López-Mart'in, Y. Villuendas-Rey, M. Azzeh, A. Bou-Nassif, and S. Banitaan, "Transformed k-nearest neighborhood output distance minimization for predicting the Defect Density of Software Projects," Journal of Systems and Software, p. 110592, 2020.
  • H. Ghandorh, A. Noorwali, A. B. Nassif, L. F. Capretz, and R. Eagleson, "A Systematic Literature Review for Software Portability Measurement: Preliminary Results," in Proceedings of the 2020 9th International Conference on Software and Computer Applications, 2020, pp. 152–157.
  • I. Shahin, A. B. Nassif, and S. Hamsa, "Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments," Neural Computing and Applications, vol. 32, no. 7, pp. 2575–2587, 2020.
  • T. Rose, K. Kifayat, S. Abbas, and M. Asim, "A hybrid anomaly-based intrusion detection system to improve time complexity in the Internet of Energy environment," Journal of Parallel and Distributed Computing, vol. 145, pp. 124–139, 2020.
  • S. U. Rahman, A. Khan, S. Abbas, F. Alam, and N. Rashid, "Hybrid system for automatic detection of gunshots in indoor environment," Multimedia Tools and Applications, pp. 1–11, 2020.
  • A. M. Khedr, W. Osamy, A. Salim, and S. Abbas, "A Novel Association Rule-Based Data Mining Approach for Internet of Things Based Wireless Sensor Networks," IEEE Access, vol. 8, pp. 151574–151588, 2020.
  • M. Asad, M. Asim, T. Javed, M. O. Beg, H. Mujtaba, and S. Abbas, "DeepDetect: Detection of distributed denial of service attacks using deep learning," The Computer Journal, vol. 63, no. 7, pp. 983–994, 2020.
  • G. Mehmood, M. Z. Khan, S. Abbas, M. Faisal, and H. U. Rahman, "An Energy-Efficient and Cooperative Fault-Tolerant Communication Approach for Wireless Body Area Network," IEEE Access, vol. 8, pp. 69134–69147, 2020.

 



Recent Conference ​ Papers
  • D. Hejji, O. Gouda, A. Bouridane and M. Abu Talib, "Evaluation of MTARSI2 Dataset for Aircraft Type Recognition in Remote Sensing Images," 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS), 2022, pp. 1-9, doi: 10.1109/ICNS54818.2022.9771536.
  • H. Ahmed, M. Bakr, M. A. Talib, S. Abbas and Q. Nasir, "Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence (AI) in Fire related Disaster Recovery: Analytical Survey Study," 2022 International Conference on Business Analytics for Technology and Security (ICBATS), 2022, pp. 1-6, doi: 10.1109/ICBATS54253.2022.9759056.
  • K. Hassan, F. Dakalbab, M. A. Talib, C. Ghenai, Q. Nasir and M. Bettayeb, "Blockchain Networks for Solar PV Electric Vehicles Charging Station to Support and Foster Clean Energy Transition," 2022 International Conference on Business Analytics for Technology and Security (ICBATS), 2022, pp. 1-7, doi: 10.1109/ICBATS54253.2022.9759068.
  • O. Gouda, A. Bouridane, M. A. Talib and Q. Nasir, "Machine Learning-Based Methods in Source Camera Identification: A Systematic Review," 2022 International Conference on Business Analytics for Technology and Security (ICBATS), 2022, pp. 1-7, doi: 10.1109/ICBATS54253.2022.9759089.
  • Alrae, R., Abu Talib, M., Nasir, Q. (2022). Information Quality Management for the Medical Wearable Devices: Validation Study. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR'22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-031-14054-9_37
  • M. Bakr, S. Junaidi and A. B. Nassif, "Data-driven hardness prediction and analysis of {AlCoCrF eNiT iCu} system of High Entropy Alloys," 2022 Advances in Science and Engineering Technology International Conferences (ASET), 2022, pp. 1-5, doi: 10.1109/ASET53988.2022.9735070.
  • W. Obaid and A. B. Nassif, "The Effects of Resampling on Classifying Imbalanced Datasets," 2022 Advances in Science and Engineering Technology International Conferences (ASET), 2022, pp. 1-6, doi: 10.1109/ASET53988.2022.9735021.
  • C. Boukhatem, H. Y. Youssef and A. B. Nassif, "Heart Disease Prediction Using Machine Learning," 2022 Advances in Science and Engineering Technology International Conferences (ASET), 2022, pp. 1-6, doi: 10.1109/ASET53988.2022.9734880.
  • O. A. Waraga, A. Abdeljaber, M. A. Talib and M. Abdallah, "Investigating Water Consumption Patterns Through Time Series Clustering," 2021 14th International Conference on Developments in eSystems Engineering (DeSE), 2021, pp. 44-49, doi: 10.1109/DeSE54285.2021.9719367.
  • M. Al-Haidary, M. A. Ajlouni, M. A. Talib, S. Abbas, Q. Nasir and E. Basaeed, "Metaheuristic Approaches to Facility Location Problems: A Systematic Review," 2021 4th International Conference on Signal Processing and Information Security (ICSPIS), 2021, pp. 49-52, doi: 10.1109/ICSPIS53734.2021.9652430.
  • D. Hejji, M. A. Talib, A. B. Nassif, Q. Nasir and A. Bouridane, "AI-based Models for Resource Allocation and Resource Demand Forecasting Systems in Aviation: A Survey and Analytical Study," 2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), 2021, pp. 183-189, doi: 10.1109/IoTaIS53735.2021.9628555.
  • Y. Mansour, H. Hammad, O. A. Waraga and M. A. Talib, "Energy Management Systems and Smart Phones: A Systematic Literature Survey," 2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), 2021, pp. 1-7, doi: 10.1109/CCCI52664.2021.9583184.
  • R. Seyam, A. B. Nassif, Q. Nasir, B. A. Blooshi, M. A. Talib, "Deep Learning Techniques to Detect DoS Attacks on Industrial Control Systems: A Systematic Literature Review", 2021, ArabWIC 7th International Conference on Arab Women in Computing - Accepted
  • Seyam, A. B. Nassif, M. A. Talib, Q. Nasir, Bushra Alblooshi, "Deep Learning Models to Detect Online False Information: A Systematic Literature Review", 2021, ArabWIC 7th International Conference on Arab Women in Computing - Accepted
  • M. Bettayeb, Q. Nasir and M. Abu Talib (2021, August). Hyperledger-based secure firmware update delivery for IoT devices. In The 7th annual international conference on Arab women in computing in conjunction with the 2nd forum of women in research (pp. 1-5).
  • Al Naqbi, S. S. Alyieliely, M. A. Talib, Q. Nasir, M. Bettayeb, & C. Ghenai (2021). Energy Reduction in Building Energy Management Systems Using the Internet of Things: Systematic Literature Review. In 2021 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-7). IEEE.
  • O. A. Waraga, M. A. Talib, M. Bettayeb & C. Ghenai(2021, July). A framework application for improving energy demand forecasting using digital twining. In The 2nd International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2021) (Vol. 2021, pp. 95-105). IET.
  • Alshaimaa Al Naqbi, Sheikha Salem Alyieliely, Manar Abu Talib, Qassim Nasir, Maamar Bettayeb, Chaouki Ghenai, “Energy Reduction in Building Energy Management Systems Using the Internet of Things: Systematic Literature Review", accepted in IEEE ISNCC 2021.
  • Sally M. Idhis, Takwa Dawdi, Qassim Nasir, Manar Abu Talib, Yara Omran, “Detection and Localization of Unmanned Aerial Vehicles Based on Radar Technology", accepted in ICACIT 2021 Springer conference.
  • Kamal Adel Abuqaaud, Ali Bou Nassif, “A Statistical Model for GPA Estimation Based on High School Grades and Standard Exams", Innovation and New Trends in Engineering, Science and Technology Education Conference (IETSEC), Jordan, 2021
  • Luiz Fernando Capretz, Ali Bou Nassif, Saad Harous, “Perceptions about Software Testing among UAE Software Students," IEEE/ACM 13th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE), 2021​