WS04: Workshop on Autonomous Future Networks for Industry 5.0

Workshop ORGANIZERS

• Mohammad Patwary, University of Wolverhampton, UK
• Md Arafatur Rahman, University of Wolverhampton, UK
• Samiya Khan, University of Greenwich, UK

SCOPE AND MOTIVATION

Autonomous future networks lie at the core of the infrastructure required to achieve the technological benchmarks essential for development and sustainability of Industry 5.0 applications. Key aspects of future networks for Industry 5.0 applications such as real-time control systems and autonomous machines include ultra-low latency, higher reliability, enhanced capacity, and massive machine connectivity. Consequently, machines can effectively communicate with each other to facilitate decision making thereby optimizing production processes, improving safety, and reducing energy consumption. 

The evolution of Artificial Intelligence (AI) has further paved the way for development of smarter and more sophisticated networks for Industry 5.0 by providing the possibilities for making future networks future proof to support emerging technologies and services of Industry 5.0. This workshop will provide an opportunity for attendees to gain insights into how AI can be leveraged to evolve future networks for Industry 5.0, discuss the potential applications of AI in these networks and learn about the challenges that may arise from this relationship. This workshop shall also provide a platform for networking and collaboration between professionals from academia and industry.

TOPICS OF INTEREST

Topics of interest for this workshop include, but are not limited to:

• Machine Learning for Network Management and Optimization

• AI-Driven Network Automation and Orchestration 

• Edge Computing and Network Intelligence 

• AI-Based Resource Allocation in Networks 

• Autonomous Network Management in Industry 5.0

•  AI for Quality Control and Predictive Maintenance 

• AI-enabled Network Security in Industry 5.0

• Industrial IoT and AI Integration

• AI and Robotics Collaboration

• AI-enhanced Network Resiliency in Industry 5.0

•  Ethical and Regulatory Considerations

• Case Studies and Industry Use Cases

Workshop Paper Submission

All papers should be submitted via EDAS, Workshop on Autonomous Future Networks for Industry 5.0. Full instructions on how to submit papers are provided on the IEEE FNWF 2023 website: https://fnwf2023.ieee.org/information-authors

Short Bio of Organizers

Mohammad Patwary is Full Professor of Telecommunications & Director of Centre for Future Networks & Autonomous Systems (CeFNAS) at the Faculty of Science & Engineering in University of Wolverhampton since June 2020. He is also research lead for ‘5G Connected Forest Project’ funded by DCMS that aims at accelerating ‘visitor economy’ in Midlands. He was a full Professor of telecommunication networks and digital productivity and the Head of the Intelligent Systems and Networks (ISN) Research Group, at School of Computing and Digital Technology, Birmingham City University, UK, between 2017 till 2020; he was also the Principal Architect for a large scale 5G testbed in the UK to accelerate digital productivity and to develop urban connected community with West Midland 5G during 2018-2020. He was also a Full Professor of wireless systems and digital productivity & the Chair of the Centre of Excellence on Digital Productivity with Connected Services, Staffordshire University, until 2017. His current research interests include intelligent & autonomous systems, wireless communication systems design and optimization, the future generation of cellular network architecture, and business modeling for data-economy. He is Chartered Engineer of Engineering-Council UK, Senior Member of IEEE, Fellow of IET, and co-chair of Testbed working group of International Network Generation Roadmap at IEEE.

 

Md Arafatur Rahman is currently a Senior Lecturer in the School of Mathematics and Computer Science, University of Wolverhampton, UK. He was an Associate Professor at University Malaysia Pahang, Malaysia. He got his Ph.D. degree from the University of Naples Federico II, Italy. His research interests include wireless communication, cognitive radio networks, security, and Big Data Analytics. He is an IEEE Senior Member. He is a co-author of more than 100 international journals and conferences.

 

 

 

 

Samiya Khan is an alumna of University of Delhi, India and did her PhD in Computer Science from Jamia Millia Islamia, India. She is currently working as Lecturer in Computer Science at University of Greenwich, United Kingdom. Previously, she served as a postdoctoral research fellow at University of Wolverhampton, United Kingdom. She has contributed more than 25 research papers and her publications extend across journal articles and book chapters in high impact publications of international repute. She has also presented her research at reputed international conferences. She has served as Associate Editor, Scientific India Magazine and reviewer for many reputed journals and conferences. Besides this, she has authored a book entitled 'Big Data and Analytics' and co-edited many books including ‘Internet of Things (IoT): Concepts and Applications’ published by Springer Nature, Switzerland and 'Extended Reality for Healthcare Systems: Recent Advances in Contemporary Research' published by Elsevier. Samiya’s expertise spans across data science, Artificial Intelligence, edge computing and the Internet of Things (IoT) with experience in development of heterogeneous systems.