Mr Syed Muhammad Asad

Affiliate (School of Engineering)

email: Asad.Syed@glasgow.ac.uk

Import to contacts

Biography

Dr Syed Muhammad Asad (known as Dr Asad) is currently working full-time in Transport for London (TfL) as a Senior Network and Telecomms Architect in Technology & Data Department, London, UK. Dr Asad, has served above 15 years in Telecommunications industry after receiving the M.Sc. degree in Mobile Communication Systems from the University of Surrey, Guildford, U.K. in 2010. Dr Asad, on part-time basis, completed Ph.D. in Electrical and Electronics Engineering from the University of Glasgow, U.K. Dr Asad has been recognised as a Radio Design Lead in the deployment of 4G Public Cellular Network (PCN) and Emergency Services Network (ESN) projects in London Underground and is responsible for technical strategies dealing with; Radio & Wireless, Wi-Fi and cellular 4G/5G and beyond 5G technologies, and architecture including Radio Access Network (RAN) design, Distributed Antenna Systems (DAS), Private Mobile Radio (PMR), and technology roadmapping.

Research interests

Research interests include, Self-Organising Networks (SON), Energy Efficiency, Zero Emissions and Machine Learning algorithms with 5G+ mobile communications. Currently, investigating dynamic radio access strategies, predictive learning, stochastic modelling and mobility prediction algorithms to meet zero-emissions strategy and standards.

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019

Number of items: 13.

2024

Asad, S. M., Zhang, X., Sun, Y. , Bin Rais, R. N., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2024) Blockchain-empowered secure spectrum sharing for next generation train networks. IEEE Access, 12, pp. 66690-66700. (doi: 10.1109/ACCESS.2024.3398997)

2023

Abubakar, A. I. , Mollel, M. S. , Onireti, O. , Ozturk, M., Ahmad, I. , Asad, S. M., Sambo, Y. , Zoha, A. , Hussain, S. and Imran, M. A. (2023) Coverage and throughput analysis of an energy efficient UAV base station positioning scheme. Computer Networks, 232, 109854. (doi: 10.1016/j.comnet.2023.109854)

Asad, S. M., Klaine, P. V. , Rais, R. N. B., Mollel, M. S. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2023) Context-aware handover skipping for train passengers in next generation wireless networks. Journal of Communications and Networks, 25(3), pp. 285-298. (doi: 10.23919/JCN.2023.000016)

2022

Asad, S. M., Valente Klaine, P. , Naveed Bin Rais, R., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2022) Blockchain-enabled handover skipping for high mobility train passengers. Electronics Letters, 58(25), pp. 978-981. (doi: 10.1049/ell2.12658)

Dangana, M., Ansari, S. , Asad, S. M., Hussain, S. and Imran, M. A. (2022) Towards the Digital Twin (DT) of narrow-band Internet of Things (NBIoT) wireless communication in industrial indoor environment. Sensors, 22(23), 9039. (doi: 10.3390/s22239039)

Asad, S. M., Valente Klaine, P. , Rais, R. N. B., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2022) Mobility Management in the Applications of 5G and Beyond: A Handover Skipping Topology Analysis. In: 4th Global Power, Energy and Communication Conference (GPECOM2022), Cappadocia, Turkey, 14-17 June 2022, pp. 650-654. ISBN 9781665469258 (doi: 10.1109/GPECOM55404.2022.9815787)

Asad, S. M., Dashtipour, K., Bin Rais, R. N., Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2022) Employing Machine Learning for Predicting Transportation Modes under the COVID-19 Pandemic: A Mobility-Trends Analysis. In: 6th International Conference on UK-China Emerging Technologies (UCET 2021), Chengdu, China, 4-6 Nov 2021, pp. 235-240. ISBN 9781665495752 (doi: 10.1109/UCET54125.2021.9674960)

Abubakar, A. I. , Ozturk, C., Ozturk, M., Mollel, M. S. , Asad, S. M., Ul Hassan, N., Hussain, S. and Imran, M. A. (2022) Revenue maximization through cell switching and spectrum leasing in 5G HetNets. IEEE Access, 10, pp. 48301-48317. (doi: 10.1109/ACCESS.2022.3172280)

2021

Asad, S. M., Tahir, A., Bin Rais, R. N., Ansari, S. , Abubakar, A. I. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2021) Edge intelligence in private mobile networks for next generation railway systems. Frontiers in Communications and Networks, 2, 769299. (doi: 10.3389/frcmn.2021.769299)

2020

Asad, S. M., Ansari, S. , Öztürk, M., Dashtipour, K., Rais, R. N. B., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2020) Mobility management-based autonomous energy-aware framework using machine learning approach in dense mobile networks. Signals, 1(2), pp. 170-187. (doi: 10.3390/signals1020010)

Asad, S. M., Dashtipour, K., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2020) Travelers-Tracing and Mobility Profiling Using Machine Learning in Railway Systems. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi: 10.1109/UCET51115.2020.9205456)

Asad, S. M., Ahmad, J., Hussain, S. , Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2020) Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning. Sensors, 20(9), 2629. (doi: 10.3390/s20092629)

2019

Asad, S. M., Ozturk, M., Rais, R. N. B., Zoha, A. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2019) Reinforcement Learning Driven Energy Efficient Mobile Communication and Applications. In: 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman, United Arab Emirates, 10-12 Dec 2019, ISBN 9781728153414 (doi: 10.1109/ISSPIT47144.2019.9001888)

This list was generated on Thu Nov 21 04:24:33 2024 GMT.

Jump to: Articles | Conference Proceedings

Number of items: 13.

Articles

Asad, S. M., Zhang, X., Sun, Y. , Bin Rais, R. N., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2024) Blockchain-empowered secure spectrum sharing for next generation train networks. IEEE Access, 12, pp. 66690-66700. (doi: 10.1109/ACCESS.2024.3398997)

Abubakar, A. I. , Mollel, M. S. , Onireti, O. , Ozturk, M., Ahmad, I. , Asad, S. M., Sambo, Y. , Zoha, A. , Hussain, S. and Imran, M. A. (2023) Coverage and throughput analysis of an energy efficient UAV base station positioning scheme. Computer Networks, 232, 109854. (doi: 10.1016/j.comnet.2023.109854)

Asad, S. M., Klaine, P. V. , Rais, R. N. B., Mollel, M. S. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2023) Context-aware handover skipping for train passengers in next generation wireless networks. Journal of Communications and Networks, 25(3), pp. 285-298. (doi: 10.23919/JCN.2023.000016)

Asad, S. M., Valente Klaine, P. , Naveed Bin Rais, R., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2022) Blockchain-enabled handover skipping for high mobility train passengers. Electronics Letters, 58(25), pp. 978-981. (doi: 10.1049/ell2.12658)

Dangana, M., Ansari, S. , Asad, S. M., Hussain, S. and Imran, M. A. (2022) Towards the Digital Twin (DT) of narrow-band Internet of Things (NBIoT) wireless communication in industrial indoor environment. Sensors, 22(23), 9039. (doi: 10.3390/s22239039)

Abubakar, A. I. , Ozturk, C., Ozturk, M., Mollel, M. S. , Asad, S. M., Ul Hassan, N., Hussain, S. and Imran, M. A. (2022) Revenue maximization through cell switching and spectrum leasing in 5G HetNets. IEEE Access, 10, pp. 48301-48317. (doi: 10.1109/ACCESS.2022.3172280)

Asad, S. M., Tahir, A., Bin Rais, R. N., Ansari, S. , Abubakar, A. I. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2021) Edge intelligence in private mobile networks for next generation railway systems. Frontiers in Communications and Networks, 2, 769299. (doi: 10.3389/frcmn.2021.769299)

Asad, S. M., Ansari, S. , Öztürk, M., Dashtipour, K., Rais, R. N. B., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2020) Mobility management-based autonomous energy-aware framework using machine learning approach in dense mobile networks. Signals, 1(2), pp. 170-187. (doi: 10.3390/signals1020010)

Asad, S. M., Ahmad, J., Hussain, S. , Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2020) Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning. Sensors, 20(9), 2629. (doi: 10.3390/s20092629)

Conference Proceedings

Asad, S. M., Valente Klaine, P. , Rais, R. N. B., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2022) Mobility Management in the Applications of 5G and Beyond: A Handover Skipping Topology Analysis. In: 4th Global Power, Energy and Communication Conference (GPECOM2022), Cappadocia, Turkey, 14-17 June 2022, pp. 650-654. ISBN 9781665469258 (doi: 10.1109/GPECOM55404.2022.9815787)

Asad, S. M., Dashtipour, K., Bin Rais, R. N., Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2022) Employing Machine Learning for Predicting Transportation Modes under the COVID-19 Pandemic: A Mobility-Trends Analysis. In: 6th International Conference on UK-China Emerging Technologies (UCET 2021), Chengdu, China, 4-6 Nov 2021, pp. 235-240. ISBN 9781665495752 (doi: 10.1109/UCET54125.2021.9674960)

Asad, S. M., Dashtipour, K., Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2020) Travelers-Tracing and Mobility Profiling Using Machine Learning in Railway Systems. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi: 10.1109/UCET51115.2020.9205456)

Asad, S. M., Ozturk, M., Rais, R. N. B., Zoha, A. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2019) Reinforcement Learning Driven Energy Efficient Mobile Communication and Applications. In: 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman, United Arab Emirates, 10-12 Dec 2019, ISBN 9781728153414 (doi: 10.1109/ISSPIT47144.2019.9001888)

This list was generated on Thu Nov 21 04:24:33 2024 GMT.

Visiting Fellow (University of Glasgow), Senior Network & Telecoms Architect (Transport for London)