Transform your Business through 5G and Industrial Internet of Things (IIoT)

Transform your Business through 5G and Industrial Internet of Things (IIoT)
This event is part of a series of Tech Briefings organised by the University of Wolverhampton in partnership with Telford & Wrekin Council.

As the COVID 19 crisis has unfolded, products and services have been digitising at a rapid pace.A recent report commissioned by Vodafone highlights key areas where 5G can support economic growth across the UK:

  • UK’s mobile infrastructure to 5G could be worth as much as £158billion to the economy over the next ten years.
  • 5G private networks will enable manufacturers to dramatically increase efficiency, helping to revive manufacturing across the UK
  • 5G could provide a much-needed financial boost to the UK economy as it recovers from the Covid-19 pandemic.

SMEs in Telford & Wrekin and Shropshire can take advantage of the latest emerging digital technologies and access fully funded support available through the SOLVD project to enhance business productivity.

Join us in our third Digital Technology event, to learn more about how 5G will transform Industrial IoT and how this can help your business to move into the fast lane.


10:00- Welcome and SOLVD project Overview, Miriam Messiha

10:05- What it is 5G and the difference between 4G and 5G, Dr Arafatur Rahman

10:20- What 5G means for different industries, Dr Muhammad Kamran

10:35- Industrial IoT for businesses, Dr Ali Sadiq

10:50- 5G use cases for Industrial IoT, Dr Ali Sadiq

11:15- Q&A, Miriam Messiha

11:30 Close  

The Speakers:

Dr Md Arafatur Rahman received his Ph.D. degree in Electronic and Telecommunications Engineering from the University of Naples Federico II, Naples, Italy in 2013. He has more than 10 years Research and Teaching experience in the domain of Computer and Communications Engineering. Currently, he is an Associate Professor with the Faculty of Computing, University Malaysia Pahang, where he has conducted Undergraduate and Masters Courses and supervised more than 20 B.Sc., 4 M.Sc. and 4 PhD students. He worked as a Postdoctoral Research Fellow with University of Naples Federico II in 2014 and Visiting Researcher with the Sapienza University of Rome in 2016. His research interests include Internet-of-Things (IoT), wireless communication networks, cognitive radio network, 5G, vehicular communication, Big Data, Cloud Computing and Security. He has developed excellent track record of academic leadership as well as management and execution of international ICT projects that are supported by agencies in Italy, EU and Malaysia.

Dr Ali Safaa Sadiq is a senior IEEE member and currently a faculty member and course coordinator of Artificial Intelligence and Robotics and a member of Wolverhampton Cyber Research Institute (WCRI) at the Faculty of Science and Engineering, School of Mathematics and Computer Science, University of Wolverhampton; he is also an adjunct staff at Monash University and Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia. Ali has served as a lecturer at the School of Information Technology, Monash University, Malaysia. Previously he has also served as a senior lecturer at the Department of Computer Systems & Networking Department, Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, Malaysia. Ali has completed his first degree in Computer Science at AL-Mustansiriyah University in 2004, and spent 5 years working in Computer Science and Networking in industry. Ali had his MSc and PhD degrees in Computer Science from University Technology of Malaysia in 2011 and 2014, respectively.

Dr Muhammad Kamran Naeem is a Postdoctoral Research Fellow, School of Mathematics and Computer Science. Kamran’s research interests are on 5G networks and IoT communications, with an emphasis on dynamic spectrum sharing and allocation, Non-Orthogonal Multiple Access (NOMA), Network Function Virtualisation (NFV) and multi antenna systems. Previously, he worked on areas including wireless sensor networks and channel estimation and equalization techniques.

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