Dr Awais Aziz Shah

  • Lecturer (School of Computing Science)

telephone: 01413301799
email: AwaisAziz.Shah@glasgow.ac.uk

F112, Sir Alwy Williams Building, University Glasgow, Glasgow, G12 8RZ

ORCID iDhttps://orcid.org/0000-0002-1656-739X

Biography

I am currently a lecturer within the school of computing science. I am a member of the Glasgow Systems Section (GLASS). My research is focused towards using Software-Defined Networks (SDN) and virtualisation technologies such as containers to virtualise the modern network infrastructures in achieving low-latency, high energy efficiency, Quality of Service (QoS) and optimal Virtual Network Functions (VNF) chain deployments.

During my PhD at the Telematics Lab, Politecnico di Bari, Italy, I developed an SDN-based hierarchical framework for the orchestration and management of VNFs in Optical Transport Networks. Through this work, in collaboration with industrial partners from Telco industry in Italy (SMOptics and Experis), I performed simulating large-scale optical nodes been monitored by multiple levels of SDN controllers and centeralised network service orchestrator (OSMANO) inside OpenStack Cloud. Furthermore, I have worked on developing a routing strategy for Transport Networks using SDN to ensure energy efficiency and at the same time QoS.  Moreover, I worked as a Research Fellow from December 2021 to September 2022 in the Communication, Sensing and Imaging group on several use cases under the umbrella of Scotland 5G testbed that includes orchestration of services on the 5G testbed using SDN and Internet of Things frameworks.

Research interests

  •     Software-Defined Networks
  •     Network Function Virtualisation
  •     Container networking
  •     Agile Software Development
  •     CyberSecurity (Light-weight encryption schemes)

Publications

List by: Type | Date

Jump to: 2022 | 2021
Number of items: 3.

2022

Abbas, A., Khan, M. A., Latif, S., Ajaz, M., Shah, A. A. and Ahmad, J. (2022) A new ensemble-based intrusion detection system for Internet of Things. Arabian Journal for Science and Engineering, 47(2), pp. 1805-1819. (doi: 10.1007/s13369-021-06086-5)

2021

Khan, M. A., Khan, M. A., Jan, S. U., Ahmad, J., Jamal, S. S., Shah, A. A. , Pitropakis, N. and Buchanan, W. J. (2021) A deep learning-based intrusion detection system for MQTT enabled IoT. Sensors, 21(21), 7016. (doi: 10.3390/s21217016) (PMID:34770322) (PMCID:PMC8588509)

Shah, A. A. , Piro, G., Grieco, L. A. and Boggia, G. (2021) A quantitative cross-comparison of container networking technologies for virtualized service infrastructures in local computing environments. Transactions on Emerging Telecommunications Technologies, 32(4), e4234. (doi: 10.1002/ett.4234)

This list was generated on Wed Mar 29 13:07:02 2023 BST.
Jump to: Articles
Number of items: 3.

Articles

Abbas, A., Khan, M. A., Latif, S., Ajaz, M., Shah, A. A. and Ahmad, J. (2022) A new ensemble-based intrusion detection system for Internet of Things. Arabian Journal for Science and Engineering, 47(2), pp. 1805-1819. (doi: 10.1007/s13369-021-06086-5)

Khan, M. A., Khan, M. A., Jan, S. U., Ahmad, J., Jamal, S. S., Shah, A. A. , Pitropakis, N. and Buchanan, W. J. (2021) A deep learning-based intrusion detection system for MQTT enabled IoT. Sensors, 21(21), 7016. (doi: 10.3390/s21217016) (PMID:34770322) (PMCID:PMC8588509)

Shah, A. A. , Piro, G., Grieco, L. A. and Boggia, G. (2021) A quantitative cross-comparison of container networking technologies for virtualized service infrastructures in local computing environments. Transactions on Emerging Telecommunications Technologies, 32(4), e4234. (doi: 10.1002/ett.4234)

This list was generated on Wed Mar 29 13:07:02 2023 BST.

profile pic