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Publications

  1. Ahmed, N., Afyouni, I., Dabool, H., & Al Aghbari, Z. (2024). A systemic survey of the Omniverse platform and its applications in data generation, simulation, and metaverse. Frontiers in Computer Science.
  2. Dabool, H., Alashwal, H., & Moustafa, A. A. (2024). Alzheimer's disease identification through learning from missing values: Insights from ADNI merged datasets. Proceedings of the 8th International Conference on Information System and Data Mining (ICISDM)
  3. Dabool, H., Alashwal, H., Alnuaimi, H., Alhouqani, A., Alkaabi S., and Al Ahbabi, A. (2024). "Comparative Analysis of Hyperparameter Tuning Methods in Classification Models for Ensemble Learning,” 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), Guangzhou, China, 2024, pp. 1-5.
  4. Nawaz, S., Khan, S. S., & Ahmad, A. (2024). Ensemble of autoencoders for anomaly detection in biomedical data: A narrative review. IEEE Access, 12, 17273–17289.
  5. Abu Ali, N., Rehman, M., Mumtaz, S., Khan, M. B., Hayajneh, M., Rauf, F. U. G., & Shah, R. A. (2024). Contactless diseases diagnoses using wireless communication sensing: Methods and challenges survey. Computing Surveys, ACM. (Top 1%, Impact Factor: 16.6, ranked 3/111 in Computer Science Theory & Methods, SJR 6.28).
  6. Abu Ali, N., & Sabir, Z. (2024). Designing a heuristic computing structure to solve the human balancing model. Journal of King Saud University - Computer and Information Sciences. (25%, SJR 1.2, IF 7.4).
  7. Mon, B. F., Hayajneh, M., Abu Ali, N., Ullah, F., & Shayma, H. U. (2024). Digital twins in the IIoT: Current practices and future directions toward industry 5.0. Internet of Things and Cyber-Physical Systems. [Submitted].
  8. Mon, B. F., Wafi, A., Hayajneh, M., Abu Ali, N., & Slim, A. (2024). Curriculum complexity evaluation based on course cruciality. In IEEE Global Engineering Education Conference (EDUCON). [Accepted & Presented].
  9. Slim, A., Heileman, G., Yusuf, A., Zhang, Y., Wasfi, A., Hayajneh, M., & Mon, B. F. (2024). Enhancing academic pathways: A data-driven approach to reducing curriculum complexity and improving graduation rates in higher education. In 2024 American Society for Engineering Education Annual Conference and Exposition. [Accepted].
  10. Aslam, M. S., Bilal, H., & Hayajneh, M. (2024). LQR-based PID controller with variable load tuned with data-driven methods for double inverted pendulum. Soft Computing, 28, 325–338.
  11. Al Ghazali, S., Zaki, N., Ali, L., & Harous, S. (2024). Exploring the potential of ChatGPT as a substitute teacher: A case study. International Journal of Information and Education Technology, 14, 271–278.
  12. Ghebrehiwet, I., Zaki, N., Damseh, R., & Mohamad, M. S. (2024). Revolutionizing personalized medicine with generative AI: A systematic review. Research Square (Version 1).
  13. Turaev, S., Babu, A., Al-Dabet, S., Rustamov, J., Rustamov, Z., & Zaki, N. (2024). Data-driven analysis of patients’ body language in healthcare: A comprehensive review. IEEE Access.
  14. Sharma, R., Abbastabar, H., Abdulah, D. M., Abidi, H., & Abolhassani, H. (2024). Temporal patterns of cancer burden in Asia, 1990–2019: A systematic examination for the Global Burden of Disease 2019 study. The Lancet Regional Health - Southeast Asia, 21.
  15. Albreiki, B., Rustamov, Z., Rustamov, J., Zaki, N. (2024). Enhancing Predictive Performance in Identifying At-Risk Students: Integration of Topological Features, Node Embeddings in Machine Learning Models. In: Khine, M.S. (eds) Machine Learning in Educational Sciences. Springer, Singapore.
  16. Steinmetz, J. D., Seeher, K. M., Schiess, N., Nichols, E., Cao, B., & Servili, C. (2024). Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet Neurology, 23(4), 344–381.
  17. Avan, A., Feigin, V. L., Bennett, D. A., Steinmetz, J. D., Hachinski, V., & Stranges, S. (2024). The burden of neurological conditions in North Africa and the Middle East, 1990–2019: A systematic analysis of the Global Burden of Disease Study 2019. The Lancet Global Health.
  18. Rustamov, J., Rustamov, Z., Mohamad, M. S., Zaki, N., Al Tenaiji, A., & Al Harbi, M. (2024). An expert rule-based approach for identifying infantile-onset Pompe disease patients using retrospective electronic health records. Research Square (Version 1).
  19. Schumacher, A. E., Kyu, H. H., Aali, A., Abbafati, C., & Abbas, J. (2024). Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories, 1950–2021, and the impact of the COVID-19 pandemic: A comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 1989–2056.
  20. Bhattacharjee, N. V., Schumacher, A. E., Aali, A., Abate, Y. H., & Abbasgholizadeh, R. (2024). Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: A comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2057–2099.
  21. Naghavi, M., Ong, K. L., Aali, A., Ababneh, H. S., Abate, Y. H., & Abbafati, C. (2024). Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2100–2132.
  22. Ferrari, A. J., Santomauro, D. F., Aali, A., Abate, Y. H., Abbafati, C., & Abbastabar, H. (2024). Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2133–2161.
  23. Brauer, M., Roth, G. A., Aravkin, A. Y., Zheng, P., Abate, K. H., & Abate, Y. H. (2024). Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2162–2203.
  24. Vollset, S. E., Ababneh, H. S., Abate, Y. H., Abbafati, C., & Abbasgholizadeh, R. (2024). Burden of disease scenarios for 204 countries and territories, 2022–2050: A forecasting analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2204–2256.
  25. Al Akasheh, M., Hujran, O., Malik, E. F., & Zaki, N. (2024). Enhancing the prediction of employee turnover with knowledge graphs and explainable AI. IEEE Access.
  26. Zaki, N., Krishnan, A., Turaev, S., Rustamov, Z., Rustamov, J., & Almusalami, A. (2024). Node embedding approach for accurate detection of fake reviews: A graph-based machine learning approach with explainable AI. International Journal of Data Science and Analytics, 1–21.
  27. Sharaf, M. A., Helal, H., Zaki, N., Alketbi, W., Alkaabi, L., Alshamsi, S., & Alhefeiti, F. (2024). Automated recommendation of aggregate visualizations for crowdfunding data. Algorithms, 17(6), 244.
  28. Rustamov, Z., Zaki, N., Rustamov, J., Zaitouny, A., & Damseh, R. (2025). Graph reduction techniques for instance selection: Comparative and empirical study. Artificial Intelligence Review, 58(2), 62.
  29. Rustamov, Z., Zaitouny, A., Damseh, R., & Zaki, N. (2024). GAIS: A novel approach to instance selection with graph attention networks. Proceedings of the 2024 IEEE International Conference on Knowledge Graph (ICKG) (pp. 309–316). IEEE.
  30. Rustamov, Z., Lakas, A., & Zaki, N. (2024). GAT-RWOS: Graph attention-guided random walk oversampling for imbalanced data classification. Proceedings of the 2024 IEEE International Conference on Knowledge Graph (ICKG) (pp. 317–324). IEEE.
  31. Parambil, M. M. A., Rustamov, J., Ahmed, S. G., Rustamov, Z., Awad, A. I., Zaki, N., … (2024). Integrating AI-based and conventional cybersecurity measures into online higher education settings: Challenges, opportunities, and prospects. Computers and Education: Artificial Intelligence, 7, 100327.
  32. Comfort, H., McHugh, T. A., Schumacher, A. E., Harris, A., May, E. A., Paulson, K. R., … (2024). Global, regional, and national stillbirths at 20 weeks’ gestation or longer in 204 countries and territories, 1990–2021: Findings from the Global Burden of Disease Study 2021. The Lancet, 404(10466), 1955–1988.
  33. Qin, L., Xiao, Z., Zaki, N., Xie, Y., & Qin, W. (2024). Improving single-source domain generalization via anatomy-guided texture augmentation for cervical tumor segmentation. Proceedings of the International Workshop on Computational Mathematics Modeling in Cancer. Springer.
  34. ElMassry, A. M., Alshamsi, A., Abdulhameed, A. F., Zaki, N., & Belkacem, A. N. (2024). Machine learning approaches for sentiment analysis on balanced and unbalanced datasets. Proceedings of the 2024 IEEE 14th International Conference on Control System, Computing and Engineering (ICCSCE). IEEE.
  35. Nasarudin, N. A., Al Jasmi, F., Sinnott, R. O., Zaki, N., Al Ashwal, H., Mohamed, E. A., … (2024). A review of deep learning models and online healthcare databases for electronic health records and their use for health prediction. Artificial Intelligence Review, 57(9), 249.
  36. Rustamov, J., Rustamov, Z., Badawi, N., Lesage, F., Zaki, N., & Damseh, R. (2024). Learning-based MRI response predictions from OCT microvascular models to replace simulation-based frameworks. Proceedings of the Annual Conference on Medical Image Understanding and Analysis (pp. 54–67). Springer.
  37. Al Meqbaali, M., Ouhbi, S., Jan, R. K., Amiri, L., Al Mugaddam, F., Serhani, M. A., … (2024). Mental health professionals' insights on digital health solutions for anxiety in the UAE. Proceedings of the 2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW) (pp. 2–7).
  38. Avan, A., Feigin, V. L., Bennett, D. A., Steinmetz, J. D., Hachinski, V., Stranges, S., … (2024). The burden of neurological conditions in North Africa and the Middle East, 1990–2019: A systematic analysis of the Global Burden of Disease Study 2019. The Lancet Global Health, 12(6), e960–e982.
  39. Badawi, N., Rustamov, J., Rustamov, Z., Lesage, F., Zaki, N., & Damseh, R. (2024). Generative adversarial learning for OCT-TPM vascular domain translation. Proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1–5). IEEE.
  40. Al Akasheh, M., Hujran, O., Malik, E. F., & Zaki, N. (2024). Enhancing the prediction of employee turnover with knowledge graphs and explainable AI. IEEE Access, 12, 77041–77053.
  41. Vollset, S. E., Ababneh, H. S., Abate, Y. H., Abbafati, C., Abbasgholizadeh, R., … (2024). Burden of disease scenarios for 204 countries and territories, 2022–2050: A forecasting analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2204–2256.
  42. Brauer, M., Roth, G. A., Aravkin, A. Y., Zheng, P., Abate, K. H., … (2024). Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2162–2203.
  43. Ferrari, A. J., Santomauro, D. F., Aali, A., Abate, Y. H., Abbafati, C., … (2024). Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2133–2161.
  44. Naghavi, M., Ong, K. L., Aali, A., Ababneh, H. S., Abate, Y. H., … (2024). Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2100–2132.
  45. Bhattacharjee, N. V., Schumacher, A. E., Aali, A., Abate, Y. H., Abbasgholizadeh, R., … (2024). Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: A comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2057–2099.
  46. Rustamov, Z., Rustamov, J., & Zaki, N. (2024). On some methods of estimating missing data in temporal networks. Mathematics, 12(11), 1746.
  47. AlHwaiti, Y., Alhmoud, L., & Zaki, N. (2024). A deep learning approach for plant disease prediction using enhanced convolutional neural networks. Plants, 13(5), 705.
  48. Elhenawy, Y. I., Nassef, M. A., Zaki, N., … (2024). A parallel algorithm for large-scale data clustering. Journal of Big Data, 11(1), 23.
  49. Zaki, N., & Rustamov, Z. (2024). Advances in explainable artificial intelligence: Interpretability, fairness, and accountability. Artificial Intelligence Review, 57(4), 2337–2361.
  50. Abdelrahman, M., Zaki, N., & Hussain, A. (2024). Smart water management systems: AI-driven solutions for sustainable development. Environmental Modelling & Software, 170,
  51. Rustamov, J., Rustamov, Z., & Zaki, N. (2024). Graph-based semi-supervised learning: A comprehensive survey. IEEE Access, 12, 44156–44172.
  52. Zaitouny, A., Damseh, R., & Zaki, N. (2024). Hybrid ensemble approaches for imbalanced data classification. Knowledge-Based Systems, 291,
  53. Rustamov, Z., Zaki, N., … (2024). Temporal dynamics and prediction in complex social networks. Applied Intelligence, 54(7), 8451–8468.
  54. Hussain, A., Zaki, N., & Abdelrahman, M. (2024). Artificial intelligence for water resource optimization under climate change scenarios. Sustainable Computing: Informatics and Systems, 42,
  55. Rustamov, Z., Rustamov, J., & Zaki, N. (2024). Instance selection using graph reduction techniques: An empirical evaluation. Expert Systems with Applications, 238,
Jul 10, 2026