Dr Awais Aziz Shah

  • Lecturer (School of Computing Science)

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

402, 1 Lillybank Gardens, University of Glasgow, Glasgow, G12 8RZ

Import to contacts

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

Laboratory (netlab) website: http://netlab.dcs.gla.ac.uk

Research Interests:

  •     Software-Defined Networks (SDN)
  •     Network Function Virtualisation (NFV)
  •     Internet-of-Space Things
  •     Container networking
  •     Resilience and CyberSecurity 
  •     Cloud and Edge Computing 
  •     Anomaly detection in Networks
  •     Network Routing Algorithms

Research groups

  • Netlab (Networked Systems Research Laboratory)

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019
Number of items: 10.

2024

Meng, R., Shah, A. A. , Jamshed, M. A. and Pezaros, D. (2024) Federated Learning-based Intrusion Detection Framework for Internet of Things and Edge Computing backed Critical Infrastructure. In: WS23 ICC 2024 Workshop - IIUC6GB, Denver, CO, USA, 9–13 June 2024, (Accepted for Publication)

2023

Shah, A. A. , Ansari, S. , Jamshed, M. A., Sambo, Y. and Ur Rehman, M. (2023) The role of 6G and beyond for urban air mobility and utilising space systems for road to net-zero carbon. In: Imran, M. A., Taha, A., Ansari, S., Usman, M. and Abbasi, Q. H. (eds.) The Role of 6G and Beyond on the Road to Net-Zero Carbon. Series: IET telecommunications series (108). Institution of Engineering and Technology, pp. 37-59. ISBN 9781839537363 (doi: 10.1049/PBTE108E_ch3)

Yang, J., Shah, A. A. and Pezaros, D. (2023) A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks. Electronics, 12(17), 3548. (doi: 10.3390/electronics12173548)

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)

2020

Petrosino, A., Sciddurlo, G., Grieco, G., Shah, A.A. , Piro, G., Grieco, L.A. and Boggia, G. (2020) Dynamic management of forwarding rules in a T-SDN architecture with energy and bandwidth constraints. In: Grieco, L.A., Boggia, G., Piro, G., Jararweh, Y. and Campolo, C. (eds.) Ad-Hoc, Mobile, and Wireless Networks. ADHOC-NOW 2020. Series: Lecture notes in computer science (12338). Springer: Cham, pp. 3-15. ISBN 9783030617462 (doi: 10.1007/978-3-030-61746-2_1)

Shah, A.A. , Mussini, M., Nicassio, F., Parladori, G., Triggiani, F., Grieco, G., Iaffaldano, G. and Piro, G. (2020) A Real-time Simulation Framework for Complex and Large-scale Optical Transport Networks based on the SDN Paradigm. In: 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prague, Czech Republic, 14-16 Sept 2020, ISBN 9781728173436 (doi: 10.1109/DS-RT50469.2020.9213701)

Shah, A. A. , Piro, G., Grieco, L.A. and Boggia, G. (2020) A Review of Forwarding Strategies in Transport Software-defined Networks. In: 2020 22nd International Conference on Transparent Optical Networks (ICTON), Bari, Italy, 19-23 July 2020, ISBN 9781728184234 (doi: 10.1109/ICTON51198.2020.9203103)

2019

Shah, A.A. , Piro, G., Grieco, L.A. and Boggia, G. (2019) A Qualitative Cross-comparison of Emerging Technologies for Software-defined Systems. In: 2019 Sixth International Conference on Software Defined Systems (SDS), Rome, Italy, 10-13 June 2019, pp. 138-145. (doi: 10.1109/SDS.2019.8768566)

This list was generated on Sun Jun 30 01:08:08 2024 BST.
Jump to: Articles | Book Sections | Conference Proceedings
Number of items: 10.

Articles

Yang, J., Shah, A. A. and Pezaros, D. (2023) A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks. Electronics, 12(17), 3548. (doi: 10.3390/electronics12173548)

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)

Book Sections

Shah, A. A. , Ansari, S. , Jamshed, M. A., Sambo, Y. and Ur Rehman, M. (2023) The role of 6G and beyond for urban air mobility and utilising space systems for road to net-zero carbon. In: Imran, M. A., Taha, A., Ansari, S., Usman, M. and Abbasi, Q. H. (eds.) The Role of 6G and Beyond on the Road to Net-Zero Carbon. Series: IET telecommunications series (108). Institution of Engineering and Technology, pp. 37-59. ISBN 9781839537363 (doi: 10.1049/PBTE108E_ch3)

Petrosino, A., Sciddurlo, G., Grieco, G., Shah, A.A. , Piro, G., Grieco, L.A. and Boggia, G. (2020) Dynamic management of forwarding rules in a T-SDN architecture with energy and bandwidth constraints. In: Grieco, L.A., Boggia, G., Piro, G., Jararweh, Y. and Campolo, C. (eds.) Ad-Hoc, Mobile, and Wireless Networks. ADHOC-NOW 2020. Series: Lecture notes in computer science (12338). Springer: Cham, pp. 3-15. ISBN 9783030617462 (doi: 10.1007/978-3-030-61746-2_1)

Conference Proceedings

Meng, R., Shah, A. A. , Jamshed, M. A. and Pezaros, D. (2024) Federated Learning-based Intrusion Detection Framework for Internet of Things and Edge Computing backed Critical Infrastructure. In: WS23 ICC 2024 Workshop - IIUC6GB, Denver, CO, USA, 9–13 June 2024, (Accepted for Publication)

Shah, A.A. , Mussini, M., Nicassio, F., Parladori, G., Triggiani, F., Grieco, G., Iaffaldano, G. and Piro, G. (2020) A Real-time Simulation Framework for Complex and Large-scale Optical Transport Networks based on the SDN Paradigm. In: 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prague, Czech Republic, 14-16 Sept 2020, ISBN 9781728173436 (doi: 10.1109/DS-RT50469.2020.9213701)

Shah, A. A. , Piro, G., Grieco, L.A. and Boggia, G. (2020) A Review of Forwarding Strategies in Transport Software-defined Networks. In: 2020 22nd International Conference on Transparent Optical Networks (ICTON), Bari, Italy, 19-23 July 2020, ISBN 9781728184234 (doi: 10.1109/ICTON51198.2020.9203103)

Shah, A.A. , Piro, G., Grieco, L.A. and Boggia, G. (2019) A Qualitative Cross-comparison of Emerging Technologies for Software-defined Systems. In: 2019 Sixth International Conference on Software Defined Systems (SDS), Rome, Italy, 10-13 June 2019, pp. 138-145. (doi: 10.1109/SDS.2019.8768566)

This list was generated on Sun Jun 30 01:08:08 2024 BST.

Grants

COCOON: COoperative Cyber PrOtectiON for Modern Power Grids - HORIZON-CL3-2022-CS-01-01 - Horizon Europe Innovation Action (CoI)

ORBICULAR: Containerisation-Based Image Recognition Algorithms in CubeSats for Autonomous Surveillance of Geographical Locations - EPSRC IAA

Supervision

Future PhD Projects and RA Opportunities

Check out our lab webpages for PhD project ideas and opportunities:

Current PhD Student Supervision

  • Alshammary, Dhiab Muneef S
    Virtual Reality for Healthcare and Education: Exploring the Challenges and Benefits
  • Alshammary, Nasser Muneef S
    Virtual Reality for Contactless Sensing Modelling
  • Alsharif, Ghadeer Obaid F
    Security-by-Design Framework for the IoT
  • Karkashina, Teodor
    A framework for designing and deploying heterogenous modular Network Functions for next generation networks
  • Yang, Jinming
    Energy Efficient NFV Orchestration using Machine Learning

Current RA Supervision

  • Li, Mingwei 

  • Durci, Adrian 

  • Arif, Muhammad
    Enhancing Privacy, Resilience and Resource Allocation in Big Data Processing at the Edge using Machine Learning
  • Karkashina, Teodor
    A framework for designing and deploying heterogenous modular Network Functions for next generation networks
  • Yang, Jinming
    Energy Efficient NFV Orchestration using Machine Learning

Teaching

  • Advanced Networked Systems H (Fall 2023; 2024)
  • Networks and Operating Systems Essentials 2 H (Fall 2023;2024)
  • Secured Software Engineering H (Fall 2022;2023)
  • Advanced Professional Software Engineering H Apprenticeship Program (Fall 2022;2023)

 

 


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