Muhammad Ali Jamshed currently works with the University of Glasgow and served as a Technical Consultant at Briteyellow. He earned a PhD degree in Electronics Engineering from the 5G/6G Innovation Centre, University of Surrey, U.K, in 2021 and is endorsed by Royal Academy of Engineering under exceptional talent category, in 2021. He is a Fellow of the Royal Society of Arts, and a Senior Member of IEEE. His main research interests include EMF exposure reduction, low SAR antennas for mobile handsets, machine learning for wireless communication, Satellite Communication, Backscatter communication, and wireless sensor networks. Awais Aziz Shah is working as a lecturer in the school of computing science at the University of Glasgow. He is a member of the Glasgow Systems Section (GLASS). His research is focused towards using Network Programmability and Resilience using Software-Defined Networks (SDN), Network Function Virtualisation (NFV) and virtualisation technologies such as containers to virtualise the modern network infrastructures in achieving low-latency, energy efficiency, Quality of Service (QoS), and optimal Virtual Network Functions (VNF) chain deployments. He is also working on detecting threats to the Critical Infrastructures (CI) such as Industrial Control Systems (ICS) and Smart Grids using Machine Learning techniques. During his PhD at the Telematics Lab, Politecnico di Bari, Italy, he 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), he simulated large-scale optical nodes been monitored by multiple levels of SDN controllers and centeralised network service orchestrator inside the OpenStack Cloud. Furthermore, he have worked on developing a routing strategy for Transport Networks using SDN to ensure energy efficiency and at the same time QoS. Moreover, he has served 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

• 1. Introduction to Green IoT Devices2. Designing an end-to-end sustainable IoT network: a comprehensive guideline3. Sustainable hardware and software design challenges for Green IoT devices4. Role of non-terrestrial networks in achieving sustainability in IoT devices5. Secure and privacy-aware solutions for sustainable IoT6. Achieving the sustainability in IoT network using software defined radios and virtualization7. Energy and spectrum efficient DRL-based algorithms to support sustainable IoT devices8. Optimizing techniques to support the development of Green Internet of Things9. Role of artificial intelligence in supporting the development of Green Internet of Things10. Road ahead for Green IoT technologies

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Muhammad Ali Jamshed currently works with the University of Glasgow and served as a Technical Consultant at Briteyellow. He earned a PhD degree in Electronics Engineering from the 5G/6G Innovation Centre, University of Surrey, U.K, in 2021 and is endorsed by Royal Academy of Engineering under exceptional talent category, in 2021. He is a Fellow of the Royal Society of Arts, and a Senior Member of IEEE. His main research interests include EMF exposure reduction, low SAR antennas for mobile handsets, machine learning for wireless communication, Satellite Communication, Backscatter communication, and wireless sensor networks. Awais Aziz Shah is working as a lecturer in the school of computing science at the University of Glasgow. He is a member of the Glasgow Systems Section (GLASS). His research is focused towards using Network Programmability and Resilience using Software-Defined Networks (SDN), Network Function Virtualisation (NFV) and virtualisation technologies such as containers to virtualise the modern network infrastructures in achieving low-latency, energy efficiency, Quality of Service (QoS), and optimal Virtual Network Functions (VNF) chain deployments. He is also working on detecting threats to the Critical Infrastructures (CI) such as Industrial Control Systems (ICS) and Smart Grids using Machine Learning techniques. During his PhD at the Telematics Lab, Politecnico di Bari, Italy, he 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), he simulated large-scale optical nodes been monitored by multiple levels of SDN controllers and centeralised network service orchestrator inside the OpenStack Cloud. Furthermore, he have worked on developing a routing strategy for Transport Networks using SDN to ensure energy efficiency and at the same time QoS. Moreover, he has served 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

• 1. Introduction to Green IoT Devices2. Designing an end-to-end sustainable IoT network: a comprehensive guideline3. Sustainable hardware and software design challenges for Green IoT devices4. Role of non-terrestrial networks in achieving sustainability in IoT devices5. Secure and privacy-aware solutions for sustainable IoT6. Achieving the sustainability in IoT network using software defined radios and virtualization7. Energy and spectrum efficient DRL-based algorithms to support sustainable IoT devices8. Optimizing techniques to support the development of Green Internet of Things9. Role of artificial intelligence in supporting the development of Green Internet of Things10. Road ahead for Green IoT technologies

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Muhammad Ali Jamshed currently works with the University of Glasgow and served as a Technical Consultant at Briteyellow. He earned a PhD degree in Electronics Engineering from the 5G/6G Innovation Centre, University of Surrey, U.K, in 2021 and is endorsed by Royal Academy of Engineering under exceptional talent category, in 2021. He is a Fellow of the Royal Society of Arts, and a Senior Member of IEEE. His main research interests include EMF exposure reduction, low SAR antennas for mobile handsets, machine learning for wireless communication, Satellite Communication, Backscatter communication, and wireless sensor networks. Awais Aziz Shah is working as a lecturer in the school of computing science at the University of Glasgow. He is a member of the Glasgow Systems Section (GLASS). His research is focused towards using Network Programmability and Resilience using Software-Defined Networks (SDN), Network Function Virtualisation (NFV) and virtualisation technologies such as containers to virtualise the modern network infrastructures in achieving low-latency, energy efficiency, Quality of Service (QoS), and optimal Virtual Network Functions (VNF) chain deployments. He is also working on detecting threats to the Critical Infrastructures (CI) such as Industrial Control Systems (ICS) and Smart Grids using Machine Learning techniques. During his PhD at the Telematics Lab, Politecnico di Bari, Italy, he 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), he simulated large-scale optical nodes been monitored by multiple levels of SDN controllers and centeralised network service orchestrator inside the OpenStack Cloud. Furthermore, he have worked on developing a routing strategy for Transport Networks using SDN to ensure energy efficiency and at the same time QoS. Moreover, he has served 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

• 1. Introduction to Green IoT Devices2. Designing an end-to-end sustainable IoT network: a comprehensive guideline3. Sustainable hardware and software design challenges for Green IoT devices4. Role of non-terrestrial networks in achieving sustainability in IoT devices5. Secure and privacy-aware solutions for sustainable IoT6. Achieving the sustainability in IoT network using software defined radios and virtualization7. Energy and spectrum efficient DRL-based algorithms to support sustainable IoT devices8. Optimizing techniques to support the development of Green Internet of Things9. Role of artificial intelligence in supporting the development of Green Internet of Things10. Road ahead for Green IoT technologies

Select Guide Rating