Dr. Ali Alnoman

Dr. Ali Alnoman joined the Department of Computer Science and Engineering at AURAK as an Assistant Professor in 2020. Prior to joining AURAK, he was a professor in the Faculty of Applied Science and Technology at Sheridan College, Canada since 2017. He also joined the Wireless Networks and Communications Research Lab at Ryerson University, Toronto, Canada as a researcher and PhD student in 2015 where he conducted deep research on Energy-Efficient Mobile Networks and IoT Systems. During his PhD studies, he was awarded the Graduate Research Excellence Award for two consecutive years, and the Doctoral Completion Award by Ryerson University, Toronto, Canada. He also served as a Technical Program Committee Member in the IEEE Vehicular Technology Conference in Toronto, 2017. In 2012-2014, he was a lecturer in the Department of Computer Engineering at Tishik University, Erbil, Iraq. His research interests include machine learning, IoT, energy efficiency, smart communication systems, and cloud-edge computing.

• PhD, Electrical and Computer Engineering, Toronto Metropolitan University, Toronto, Canada, 2019
• M.Sc., Electronic and Communication Engineering, University of Baghdad, Iraq, 2012
• B.Sc., Electrical Engineering, University of Baghdad, 2009

Journal Articles

1. A. Huzzat, A. S. Khwaja, B. Adhikari, A. Alnoman, I. Woungang and A. Anpalagan, "A Primer on Quantum Neural Network Model for Text Classification: From Concept to Design," IEEE Access, vol. 14, pp. 59932-59947, 2026. doi: 10.1109/ACCESS.2026.3683610
2. F. Harrouz, M. Omari, M. Kaddi, K. Salameh, A. Alnoman, "Energy-Efficient Wireless Sensor Networks Through PUMA-Based Clustering and Grid Routing," (2025) Electronics (Switzerland), 14(23), 4711.
3. A. Huzzat, A. Anpalagan, A. S. Khwaja, I. Woungang, A. Alnoman, A. S. Pillai, "A comprehensive review of Digital Twin technologies in smart cities," (2025) Digital Engineering, 4, art. no. 100040.
4. A. Huzzat, A. S. Khwaja, A. Alnoman, B. Adhikari, A. Anpalagan, I. Woungang, "A Survey of Traditional and Emerging Deep Learning Techniques for Non-Intrusive Load Monitoring," (2025) AI (Switzerland), 6(9), 213.
5. A. Huzzat, A. S. Khwaja, A. Alnoman, B. Adhikari, A. Anpalagan, I. Woungang, "GRU-BERT for NILM: A Hybrid Deep Learning Architecture for Load Disaggregation," (2025) AI (Switzerland), 6(9), 238.
6. A. Alnoman, A. Khwaja, A. Anpalagan, and I. Woungang, "Emerging AI and 6G User Localization Technologies for Emergencies and Disasters," IEEE Access, 2024.
7. A. Alnoman, "How Artificial Intelligence Helped the Humanity During the COVID-19 Pandemic: A Review," IEEE Transactions on Artificial Intelligence, 2024.
8. M. Omari, M. Kaddi, K. Salameh, A. Alnoman, M. Nenhadji, "Atomic Energy Optimization: A Novel Meta-Heuristic Inspired by Energy Dynamics and Dissipation," IEEE Access, 2024.
9. B. Getu and A. Alnoman, "Wireless routeing scheme for UAV-assisted access networks based on the link path loss," Journal of Information and Telecommunication, Taylor & Francis, 2024.
10. M. Omari, M. Kaddi, K. Salameh, A. Alnoman, et al., "Enhancing Node Localization Accuracy in Wireless Sensor Networks: A Hybrid Approach Leveraging Bounding Box and Harmony Search," IEEE Access, 2024.
11. M. Kaddi, M. Omari, K. Salameh, and A. Alnoman, "Energy-Efficient Clustering in Wireless Sensor Networks Using Grey Wolf Optimization and Enhanced CSMA/CA," IEEE Access, 2024.
12. H. Goehar, A. S. Khwaja, A. Alnoman, A. Anpalagan, M. Jaseemuddin, "Investigation of a HAP-UAV Collaboration Scheme for Throughput Maximization via Joint User Association and 3D UAV Placement," Sensors, 2023, 23(13), 6095.
13. A. Alnoman and A. Anpalagan, "Computing-Aware Base Station Sleeping Mechanism in H-CRAN-Cloud-Edge Networks," IEEE Transactions on Cloud Computing, 2021.
14. A. Alnoman, S. K. Sharma, W. Ejaz, and A. Anpalagan, "Emerging Edge Computing Technologies for Distributed IoT Systems," IEEE Network, 2019.
15. A. Alnoman, S. Erkucuk, and A. Anpalagan, "Sparse Code Multiple Access-based Edge Computing for IoT Systems," IEEE Internet of Things Journal, 2019.
16. A. Alnoman, G. Carvalho, A. Anpalagan, and I. Woungang, "Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues," IEEE Communications Surveys & Tutorials, vol. 20, no. 2, 2nd quart., 2018.
17. S. Tang, A. Alnoman, A. Anpalagan, and I. Woungang, "A user-centric cooperative edge caching scheme for minimizing delay in 5G content delivery networks," Transactions on Emerging Telecommunication Technology, 29(8), 2018.
18. A. Alnoman and A. Anpalagan, "Towards the Fulfilment of 5G Network Requirements: Technologies and Challenges," Telecommunication Systems (Springer), vol. 65, no. 1, pp. 101-116, May 2017.

Conference Papers

1. A. Alnoman et al., "XAI for Network Security: A Case Study on Trust Ranking in 6G Wireless Networks," 2026 International Conference on Electrical/Electronics, Robotics, Artificial Intelligence, and Informatics (ICERAI), Ras Al Khaimah, United Arab Emirates, 2026, pp. 1-5. doi: 10.1109/ICERAI69511.2026.11494590
2. U. Adeel, M. Irtiza, K. Kerala, A. Alnoman and A. Akram, "Efficient Routing Scheme Using Quadrant Turn Model for 2D Mesh NoC Architecture," 2025 International Conference on Computer and Applications (ICCA), Bahrain, Bahrain, 2025, pp. 1-6. doi: 10.1109/ICCA66035.2025.11431020
3. H. Rahiman, M. Omari, K. Salameh and A. Alnoman, "Optimizing Content-Based Image Retrieval System Through Dimensionality Reduction Techniques," 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-4. doi: 10.1109/INISTA68122.2025.11249669
4. A. Alnoman, "Explainable AI for Smart Education: A Case Study on Student Performance Prediction," 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-6. doi: 10.1109/INISTA68122.2025.11249657
5. M. Msimir et al., "Deep Learning-Driven Traffic Management System for Smart Transportation," 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-6. doi: 10.1109/INISTA68122.2025.11249624
6. R. Ibrahim, M. Omari, K. Salameh, A. Alnoman and M. Irtiza, "Attention-Augmented and Graph-Enhanced Hybrid Model for Content-Based Image Retrieval," 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-6.
7. A. Alnoman, "Regression-based Student Performance Prediction Using the Grades of English, Math, and Programming Courses," IEEE ICTMOD, Sharjah, 2024.
8. M. Irtiza, M. Omari, K. Salameh, A. Alnoman and R. Ibrahim, "A Hybrid CBIR Framework Using Multi-Features with Iterative Query Expansion and Rocchio Relevance Feedback," 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-8. doi: 10.1109/INISTA68122.2025.11249508
9. U. Adeel and A. Alnoman, "A Multi-Gpu Edge Server-Based Uav Trajectory Optimization for Emergencies and Disasters," 2025 17th International Conference on Computer and Automation Engineering (ICCAE), Perth, Australia, 2025, pp. 581-585. doi: 10.1109/ICCAE64891.2025.10980532
10. A. Alnoman, "Will the Student Get an A Grade? Machine Learning-based Student Performance Prediction in Smart Campus," IEEE Advances in Science and Engineering Technology International Conferences (ASET), 2023.
11. A. Alnoman, "UAV-to-UAV Communication Scheme for Enabling Emergency Services During Network Failure," International Conference on Electrical and Computing Technologies and Applications (ICECTA), IEEE, 2022.
12. A. Alnoman, "Ring Topology for Balanced Workload in D2D-based Wireless Sensor Networks," International Conference on Electrical and Computing Technologies and Applications (ICECTA), IEEE, 2022.
13. A. Alnoman, "A Framework for Technology-based Student-centered Learning in Smart Campus," IEEE Advances in Science and Engineering Technology International Conferences (ASET), 2022.
14. A. Alnoman, "Realtime Driver Drowsiness Detection Using Machine Learning," IEEE Advances in Science and Engineering Technology International Conferences (ASET), 2022.
15. A. Alnoman, "Delay-aware Scheduling Scheme for Ubiquitous IoT Applications in Edge Computing," IEEE International Symposium on Networks, Computers, and Communications, 2021.
16. A. Alnoman, "Edge Computing Services for Smart Cities: A Review and Case Study," IEEE International Symposium on Networks, Computers, and Communications, 2021.
17. A. Alnoman and A. Anpalagan, "QoS-aware Energy Saving Scheme and Traffic Management in Mobile Edge Computing Networks," IEEE International Wireless Communications and Mobile Computing Conference, 2021.
18. A. Alnoman, "Machine Learning-Based Task Clustering for Enhanced Virtual Machine Utilization in Edge Computing," IEEE Canadian Conference on Electrical and Computer Engineering, 2020.
19. A. Alnoman, "Supporting Delay-Sensitive IoT Applications: A Machine Learning Approach," IEEE Canadian Conference on Electrical and Computer Engineering, 2020.
20. A. Alnoman and A. Anpalagan, "A SDN-assisted Energy Saving Scheme for Cooperative Edge Computing Networks," IEEE GLOBECOM, 2019.
21. A. Alnoman and A. Anpalagan, "On Base Station Sleeping for Heterogeneous Cloud-Fog Computing Networks," IEEE 29th Biennial Symposium on Communications (BSC), Toronto, 2018, pp. 1-4.
22. A. Alnoman and A. Anpalagan, "A Dynamic Priority Service Provision Scheme for Delay-Sensitive Applications in Fog Computing," IEEE 29th Biennial Symposium on Communications (BSC), Toronto, 2018, pp. 1-5.
23. A. Alnoman, L. Ferdouse, and A. Anpalagan, "Fuzzy-Based Joint User Association and Resource Allocation in HetNets," IEEE 86th Vehicular Technology Conference, Toronto, Sep. 2017, pp. 1-5.

• Introduction to Computing
• Introduction to Computer Programming
• Data Communications and Computer Networks