Professor Ali Imran
- Professor of Intelligent Systems (Autonomous Systems & Connectivity)
Publications
2024
Zhang, S., Sambo, Y. , Imran, M. A. and Ahmad, W. (2024) Optimizing Task Distribution in Edge Computing Systems through Reinforcement Learning: A Case Study on Video Object Tracking. In: IEEE MECOM 2024: IEEE Middle East Conference on Communications and Networking 2024, Abu Dhabi, United Arab Emirates, 17-20 November 2024, (Accepted for Publication)
Zaidi, S. B. A. , Raza, W., Qureshi, H. N., Imran, M. A. , Imran, A. and Ansari, S. (2024) A Domain-Aware Framework for Interpretable and Resilient Propagation Models: Enabling Digital Twins for Wireless Networks. In: 2024 IEEE 99th Vehicular Technology Conference: VTC2024-Spring, Singapore, 24-27 Jun 2024, (Accepted for Publication)
Ijaz, A., Saeed, T., Sadiq, I., Qureshi, H. N., Rizwan, A. and Imran, A. (2024) An AI-enabled bias-free respiratory disease diagnosis model using cough audio. Bioengineering, 11(1), 55. (doi: 10.3390/bioengineering11010055)
2023
University of the West of Scotland, The University Court of the University of Glasgow (2023) A Vital Signs Monitoring System. .
Masood, U., Farooq, H., Imran, A. and Abu-Dayya, A. (2023) Interpretable AI-based large-scale 3D pathloss prediction model for enabling emerging self-driving networks. IEEE Transactions on Mobile Computing, 22(7), pp. 3967-3984. (doi: 10.1109/TMC.2022.3147191)
Qureshi, H. N. et al. (2023) Towards addressing training data scarcity challenge in emerging radio access networks: a survey and framework. IEEE Communications Surveys and Tutorials, 25(3), pp. 1954-1990. (doi: 10.1109/COMST.2023.3271419)
Zaidi, S. M. A., Manalastas, M., Farooq, M. U. B., Qureshi, H., Abu-Dayya, A. and Imran, A. (2023) A data driven framework for QoE-aware intelligent EN-DC activation. IEEE Transactions on Vehicular Technology, 72(2), pp. 2381-2394. (doi: 10.1109/TVT.2022.3211741)
Kasi, S. K., Hashmi, U. S., Ekin, S., Abu-Dayya, A. and Imran, A. (2023) D-RAN: A DRL-based demand-driven elastic user-centric RAN optimization for 6G \nd Beyond. IEEE Transactions on Cognitive Communications and Networking, 9(1), pp. 130-145. (doi: 10.1109/TCCN.2022.3217785)
2022
Manalastas, M., Farooq, M. U. B., Zaidi, S. M. A., Abu-Dayya, A. and Imran, A. (2022) A data-driven framework for inter-frequency handover failure prediction and mitigation. IEEE Transactions on Vehicular Technology, 71(6), pp. 6158-6172. (doi: 10.1109/TVT.2022.3157802)
Umar Bin Farooq, M., Manalastas, M., Raza, W., Zaidi, S. M. A., Rizwan, A., Abu-Dayya, A. and Imran, A. (2022) A data-driven self-optimization solution for inter-frequency mobility parameters in emerging networks. IEEE Transactions on Cognitive Communications and Networking, 8(2), pp. 570-583. (doi: 10.1109/TCCN.2022.3152510)
Articles
Ijaz, A., Saeed, T., Sadiq, I., Qureshi, H. N., Rizwan, A. and Imran, A. (2024) An AI-enabled bias-free respiratory disease diagnosis model using cough audio. Bioengineering, 11(1), 55. (doi: 10.3390/bioengineering11010055)
Masood, U., Farooq, H., Imran, A. and Abu-Dayya, A. (2023) Interpretable AI-based large-scale 3D pathloss prediction model for enabling emerging self-driving networks. IEEE Transactions on Mobile Computing, 22(7), pp. 3967-3984. (doi: 10.1109/TMC.2022.3147191)
Qureshi, H. N. et al. (2023) Towards addressing training data scarcity challenge in emerging radio access networks: a survey and framework. IEEE Communications Surveys and Tutorials, 25(3), pp. 1954-1990. (doi: 10.1109/COMST.2023.3271419)
Zaidi, S. M. A., Manalastas, M., Farooq, M. U. B., Qureshi, H., Abu-Dayya, A. and Imran, A. (2023) A data driven framework for QoE-aware intelligent EN-DC activation. IEEE Transactions on Vehicular Technology, 72(2), pp. 2381-2394. (doi: 10.1109/TVT.2022.3211741)
Kasi, S. K., Hashmi, U. S., Ekin, S., Abu-Dayya, A. and Imran, A. (2023) D-RAN: A DRL-based demand-driven elastic user-centric RAN optimization for 6G \nd Beyond. IEEE Transactions on Cognitive Communications and Networking, 9(1), pp. 130-145. (doi: 10.1109/TCCN.2022.3217785)
Manalastas, M., Farooq, M. U. B., Zaidi, S. M. A., Abu-Dayya, A. and Imran, A. (2022) A data-driven framework for inter-frequency handover failure prediction and mitigation. IEEE Transactions on Vehicular Technology, 71(6), pp. 6158-6172. (doi: 10.1109/TVT.2022.3157802)
Umar Bin Farooq, M., Manalastas, M., Raza, W., Zaidi, S. M. A., Rizwan, A., Abu-Dayya, A. and Imran, A. (2022) A data-driven self-optimization solution for inter-frequency mobility parameters in emerging networks. IEEE Transactions on Cognitive Communications and Networking, 8(2), pp. 570-583. (doi: 10.1109/TCCN.2022.3152510)
Conference Proceedings
Zhang, S., Sambo, Y. , Imran, M. A. and Ahmad, W. (2024) Optimizing Task Distribution in Edge Computing Systems through Reinforcement Learning: A Case Study on Video Object Tracking. In: IEEE MECOM 2024: IEEE Middle East Conference on Communications and Networking 2024, Abu Dhabi, United Arab Emirates, 17-20 November 2024, (Accepted for Publication)
Zaidi, S. B. A. , Raza, W., Qureshi, H. N., Imran, M. A. , Imran, A. and Ansari, S. (2024) A Domain-Aware Framework for Interpretable and Resilient Propagation Models: Enabling Digital Twins for Wireless Networks. In: 2024 IEEE 99th Vehicular Technology Conference: VTC2024-Spring, Singapore, 24-27 Jun 2024, (Accepted for Publication)
Patents
University of the West of Scotland, The University Court of the University of Glasgow (2023) A Vital Signs Monitoring System. .