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Publications

  1. Nawaz, S. S. Khan and A. Ahmad, "Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review," in IEEE Access, vol. 12, pp. 17273-17289, 2024 
  2. A Ahmad, One-Class Classification by Ensembles of Random Planes (OCCERPs), Computational Intelligence and Neuroscience 2022.Workshop paper
  3. Najah Abu Ali, Mubashir Rehman, Shahid Mumtaz, Muhammad Bilal Khan, Mohammad Hayajneh, Farman Ullah Gul Rauf, Raza Ali Shah, “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)
  4. Najah AbuAli, Zulqurnain Sabir “Designing a heuristic computing structure to solve the human balancing model”, Journal of King Saud University-Computer and Information Sciences, Elsevier, 2024 (25%, SJR 1.2, IF 7.4)
  5. Bisni Fahad Mon, Mohammad Hayajneh, Najah Abu Ali, Farman Ullah, Hikmat Ullah Shayma Alkobaisi. 'Digital Twins in the IIoT: Current Practices and Future Directions toward Industry 5.0'. (Submitted in Journal- Internet of Things and Cyber-Physical Systems).
  6. Bisni Fahad Mon, Asma Wafi, Mohammad Hayajneh, Najah Abu Ali, Ahmad Slim, ‘Curriculum Complexity Evaluation Based on Course Cruciality’, In IEEE Global Engineering Education Conference (EDUCON) 2024 (Accepted & Presented)
  7. Ahmad Slim, Heileman, Al Yusuf, Yiming Zhang, Asma Wasfi, Mohammad Hajajneh, Bisni Fahad Mon, ‘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)
  8.  M.S. Aslam, H. Bilal, & M. Hayajneh, “Lqr-based PID controller with variable load tuned with data-driven methods for double inverted pendulum”, Soft Computing 28, 325–338 (2024). https://doi.org/10.1007/s00500-023-09442-9.
  9. S Al Ghazali, N Zaki, L Ali, S Harous.(2024). Exploring the potential of ChatGPT as a Substitute teacher: A Case Study. Int. J. Inf. Educ. Technol 14, 271-278
  10. I Ghebrehiwet, N Zaki, R Damseh, MS Mohamad.(2024). Revolutionizing Personalized Medicine with Generative AI: A Systematic Review. 24 January 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3888891/v1]
  11. S Turaev, A Babu, S Al-Dabet, J Rustamov, Z Rustamov, N Zaki, et.al(2024). Data-Driven Analysis of Patients’ Body Language in Healthcare: A Comprehensive Review. IEEE Access
  12. R Sharma, H Abbastabar, DM Abdulah, H Abidi, H Abolhassani, et, al.(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.
  13. B Albreiki, Z Rustamov, J Rustamov, N Zaki.(2024). Enhancing Predictive Performance in Identifying At-Risk Students: Integration of Topological Features, Node Embeddings in Machine Learning Models. Machine Learning in Educational Sciences: Approaches, Applications and Advances.
  14. JD Steinmetz, KM Seeher, N Schiess, E Nichols, B Cao, C Servili, et.al.(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
  15. A Avan, VL Feigin, DA Bennett, JD Steinmetz, V Hachinski, S Stranges, et.al(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
  16. J Rustamov, Z Rustamov, MS Mohamad, N Zaki, A Al Tenaiji, M Al Harbi,et.al.(2024). An expert rule-based approach for identifying infantile-onset Pompe disease patients using retrospective electronic health records. 22 April 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-4262735/v1]
  17. AE Schumacher, HH Kyu, A Aali, C Abbafati, J Abbas, et,al.(2024). Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 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
  18. NV Bhattacharjee, AE Schumacher, A Aali, YH Abate, R Abbasgholizadeh, et,al.(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.
  19. M Naghavi, KL Ong, A Aali, HS Ababneh, YH Abate, C Abbafati, et,al.(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
  20. AJ Ferrari, DF Santomauro, A Aali, YH Abate, C Abbafati, H Abbastabar,et,al.(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
  21. M Brauer, GA Roth, AY Aravkin, P Zheng, KH Abate, YH Abate, C Abbafati,et.al.(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
  22. SE Vollset, HS Ababneh, YH Abate, C Abbafati, R Abbasgholizadeh, et.al.(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.
  23. M Al Akasheh, O Hujran, EF Malik, N Zaki.(2024). Enhancing the Prediction of Employee Turnover with Knowledge Graphs and Explainable AI. IEEE Access
  24. N Zaki, A Krishnan, S Turaev, Z Rustamov, J Rustamov, A Almusalami,et.al.(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
  25. MA Sharaf, H Helal, N Zaki, W Alketbi, L Alkaabi, S Alshamsi, F Alhefeiti.(2024). Automated Recommendation of Aggregate Visualizations for Crowdfunding Data. Algorithms 17 (6), 244.
Jul 10, 2026