Muhammad Amjad

Dr. Muhammad Amjad is a Lecturer in Computer Science at the University of Wolverhampton's School of Engineering, Computing and Mathematical Sciences. He holds a PhD from the University of Essex and is a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE. His expertise spans 6G, uRLLC, wireless communications, and cognitive radio networks. Prior roles include KTP Associate with SEA-KIT International and Tutor at Swansea University.

Dr. Amjad's research focuses on advancing wireless communication technologies, including NOMA, 5G/B5G systems, and energy-efficient networks. Notable achievements include a Best Paper Award (2016) and Top Peer Reviewer recognition (2019). His work has been featured in prestigious venues like IEEE Transactions on Vehicular Technology and IEEE Communications Surveys & Tutorials.

Key research themes:

• Non-Orthogonal Multiple Access (NOMA) in finite blocklength regimes
• Ultra-reliable low-latency communications (uRLLC)
• Cognitive radio networks and spectrum management
• Wireless sensor network algorithms
• Electric vehicle charging optimization

Professional contributions include over 20 peer-reviewed publications, numerous conference presentations, and active engagement with industry through KTP collaborations. He currently supervises PhD candidates in wireless communication domains.