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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, Ryerson University, Toronto, Canada, 2019
• M.Sc., Electronics and Communications Engineering, University of Baghdad, Iraq, 2012
• B.Sc., Electrical Engineering, University of Baghdad, 2009

Research & Publications

Journal Articles

1. A. Alnoman, 鈥淗ow Artificial Intelligence Helped the Humanity During the COVID-19 Pandemic: A Review," IEEE Transactions on Artificial Intelligence, 2024.
2. M. Omari, M. Kaddi, K. Salameh, A. Alnoman, K. Elfatmi, and F. Baarab, "Enhancing Node Localization Accuracy in Wireless Sensor Networks: A Hybrid Approach Leveraging Bounding Box and Harmony Search," IEEE Access, vol. 12, pp. 86752-86781, 2024, doi: 10.1109/ACCESS.2024.3417227.
3. M. Kaddi, M. Omari, K. Salameh, and A. Alnoman, 鈥淓nergy-Efficient Clustering in Wireless Sensor Networks Using Grey Wolf Optimization and Enhanced CSMA/CA,鈥� Sensors 24 (16), 5234.
4. H. Goehar, A. S. Khwaja, A. Alnoman, A. Anpalagan, M. Jaseemuddin, 鈥淚nvestigation of a HAP-UAV Collaboration Scheme for Throughput Maximization via Joint User Association and 3D UAV Placement鈥�, Sensors, 2023, 23(13), 6095.
5. A. Alnoman and A. Anpalagan, 鈥淐omputing-Aware Base Station Sleeping Mechanism in H-CRAN-Cloud-Edge Networks," IEEE Transactions on Cloud Computing, 2021.
6. A. Alnoman, S. K. Sharma, W. Ejaz, and A. Anpalagan, 鈥淓merging Edge Computing Technologies for Distributed IoT Systems," IEEE Network, 2019.
7. A. Alnoman, S. Erkucuk, and A. Anpalagan, 鈥淪parse Code Multiple Access-based Edge Computing for IoT Systems," IEEE Internet of Things Journal, 2019.
8. A. Alnoman, G. Carvalho, A. Anpalagan, and I. Woungang 鈥淓nergy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues," IEEE Communication Surveys & Tutorials, vol. 20, no. 2, 2nd quart. 2018.
9. S. Tang, A. Alnoman, A. Anpalagan, and I. Woungang, 鈥淎 user-centric cooperative edge caching scheme for minimizing delay in 5G content delivery networks,鈥� Transactions on Emerging Telecommunication Technology, 29(8) (2018).
10. A. Alnoman and A. Anpalagan, 鈥淭owards the Fulfilment of 5G Network Requirements: Technologies and Challenges," Telecommunication Systems (Springer), vol. 65, no. 1, pp. 101-116, May 2017.

Conference Proceedings

1. A. Alnoman 鈥淲ill the Student Get an A Grade? Machine Learning-based Student Performance Prediction in Smart Campus鈥�, IEEE Advances in Science and Engineering Technology International Conferences (ASET), 2023.
2. Alnoman 鈥淎 Framework for Technology-based Student-centered Learning in Smart Campus鈥�, IEEE Advances in Science and Engineering Technology International Conferences (ASET), 2022.
3. A. Alnoman 鈥淩ealtime Driver Drowsiness Detection Using Machine Learning鈥�, IEEE Advances in Science and Engineering Technology International Conferences (ASET), 2022.
4. A. Alnoman 鈥淒elay-aware Scheduling Scheme for Ubiquitous IoT Applications in Edge Computing鈥�, IEEE International Symposium on Networks, Computers, and Communications, 2021.
5. A. Alnoman 鈥淓dge Computing Services for Smart Cities: A Review and Case Study鈥�, IEEE International Symposium on Networks, Computers, and Communications, 2021.
6. A. Alnoman and A. Anpalagan 鈥淨oS-aware Energy Saving Scheme and Traffic Management in Mobile Edge Computing Networks鈥�, IEEE International Wireless Communications and Mobile Computing Conference, 2021.
7. A. Alnoman, 鈥淢achine Learning-Based Task Clustering for Enhanced Virtual Machine Utilization in Edge Computing鈥�, IEEE Canadian Conference on Electrical and Computer Engineering, 2020.
8. A. Alnoman, 鈥淪upporting Delay-Sensitive IoT Applications: A Machine Learning Approach鈥�, IEEE Canadian Conference on Electrical and Computer Engineering, 2020.
9. A. Alnoman and A. Anpalagan, 鈥� A SDN-assisted Energy Saving Scheme for Cooperative Edge Computing Networks鈥�, IEEE GLOBECOM, 2019.
10. A. Alnoman and A. Anpalagan, 鈥淥n Base Station Sleeping for Heterogeneous Cloud- Fog Computing Networks," in IEEE 29th Biennial Symposium on communications (BSC), Toronto, 2018, pp. 1-4.
11. A. Alnoman and A. Anpalagan, 鈥淎 Dynamic Priority Service Provision Scheme for Delay-Sensitive Applications in Fog Computing," in IEEE 29th Biennial Symposium on communications (BSC), Toronto, 2018, pp. 1-5.
12. A. Alnoman, L. Ferdouse, and A. Anpalagan, 鈥淔uzzy-Based Joint User Association and Resource Allocation in HetNets," in IEEE 86th Vehicular Technology Conference, Toronto, Sep. 2017, pp. 1-5.

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