Research

Research interests

• AI-assisted learning and assessment in computing education
• Federated and transfer learning
• Concept drift detection in data stream mining
• Cloud, inter-cloud and serverless computing
• Microservices
• IoT and smart cities
• Job scheduling and virtualisation

Publications

Also published as Nawfal A. Mehdi and Nawfal A. Mahdi. Full list onGoogle Scholar.

Journal articles

9. O. A. Mahdi, N. Ali, E. Pardede, A. Alazab, T. Al-Quraishi and B. Das, "Roadmap of concept drift adaptation in data stream mining, years later," IEEE Access, vol. 12, pp. 21129–21146, 2024.
10. H. Alshahrani, M. A. Elfaki, H. Ibrahim and N. Ali, "Collaborative caching discovery management in mobile ad hoc networks environments," PeerJ Computer Science, vol. 9, e1320, 2023.
11. O. A. Mahdi, E. Pardede and N. Ali, "A hybrid block-based ensemble framework for the multi-class problem to react to different types of drifts," Cluster Computing, vol. 24, no. 3, pp. 2327–2340, 2021.
12. O. A. Mahdi, E. Pardede, N. Ali and J. Cao, "Fast reaction to sudden concept drift in the absence of class labels," Applied Sciences, vol. 10, no. 2, 606, 2020.
13. O. A. Mahdi, E. Pardede, N. Ali and J. Cao, "Diversity measure as a new drift detection method in data streaming," Knowledge-Based Systems, vol. 191, 105227, 2020.
14. N. A. Mehdi, A. Mamat, H. Ibrahim and S. K. Subramaniam, "Impatient task mapping in elastic cloud using genetic algorithm," Journal of Computer Science, vol. 7, no. 6, 2011.
15. N. A. Mehdi, A. Mamat, H. Ibrahim and S. K. Subramaniam, "On the fly negotiation for urgent SLA on federated cloud environment," Journal of Computer Science, 2011.
16. N. A. Mehdi, A. Mamat, H. Ibrahim and S. K. Subramaniam, "Multiphase scalable grid scheduler based on multi-QoS using min-min heuristic," International Journal of Advanced Computer Science and Applications (IJACSA), 2010.
17. N. A. Mehdi, A. Mamat, H. Ibrahim and S. K. Subramaniam, "Immediate mode scheduling for impatient jobs under intercloud paradigm," International Journal of Applied Mathematics and Computer Science.

Conference papers

9. O. A. Mahdi, A. Alazab, S. Bevinakoppa and N. Ali, "Enhancing IoT intrusion detection system performance with the diversity measure as a novel drift detection method," 9th International Conference on Information Technology Trends (ITT 2023), 2023.
10. O. A. Mahdi, E. Pardede and N. Ali, "KAPPA as drift detector in data stream mining," Procedia Computer Science, vol. 184, pp. 314–321, 2021.
11. B. Holmes and N. A. Mahdi, "Seeding clouds in Dubai: How virtual platforms can provide accessible open education," Global Learn: Global Conference on Learning and Technology, 2012.
12. B. Holmes, N. A. Mahdi, A. Mamat and S. K. Subramaniam, "Sharing-aware InterCloud scheduler for data-intensive jobs," International Conference on Cloud Computing Technologies, Applications and Management (ICCCTAM-12), 2012.
13. N. A. Mehdi, "Recursive incentive with recruiting encouragement," Networked Digital Technologies, Springer, pp. 464–474, 2012.
14. N. A. Mehdi, A. Mamat, A. Alwan and Z. T. Abdul-Mehdi, "Two-phase provisioning for HPC tasks in virtualized datacenters," International Conference on Software, Electrical, Electronics and Mechanical Engineering (ICSEEME 2012), Dubai, 2012.
15. N. A. Mehdi, A. Mamat, A. Alwan and Z. T. Abdul-Mehdi, "Power-aware provisioning for impatient HPC jobs in cloud computing paradigm," 4th International Conference on Developments in eSystems Engineering (DeSE 2011), UAE, 2011.
16. N. A. Mehdi, A. Mamat, H. Ibrahim and S. K. Subramaniam, "Immediate mode scheduling for data location aware and input sharing jobs under cloud paradigm," International Conference on Intelligent Network and Computing (ICINC 2010), 2010.
17. M. Jalali Varnamkhasti, M. R. Abu Bakar and N. A. Mehdi, "Fuzzy lifetime in genetic algorithm against premature convergence," 1st Regional Conference on Applied and Engineering Mathematics, 2010.

In preparation

1. N. Ali, O. A. Mahdi, E. Pardede and B. Das, "Federated learning in the presence of concept drift: Building the foundation and visioning the future," for Future Generation Computer Systems.
2. N. Ali, O. A. Mahdi, E. Pardede and B. Das, "Unveiling the role of diversity measure in concept drift detection: A comparative analysis and future prospects," for Electronics (MDPI).