Muhammad Shahwaiz Afaqui

Muhammad Shahwaiz Afaqui is a Senior Lecturer in Electrical and Electronics Engineering at Teesside University’s School of Computing, Engineering and Digital Technologies. His academic journey includes a PhD in Networks Engineering (2017) from Technical University of Catalonia (UPC) and an MSc in Wireless Systems (2009) from KTH Royal Institute of Technology. His career spans postdoctoral research at Maynooth University and Universitat Oberta de Catalunya, and a Senior Researcher role at i2CAT Barcelona.

• Current Role: Senior Lecturer, Teesside University
• Education: PhD (UPC), MSc (KTH), BSc (COMSATS)
• External Experience: Two postdoctoral terms and prior lecturing at COMSATS

His research focuses on radio resource optimization in wireless networks, including frequency/energy/interference management, cross-layer design, and 3GPP LTE-WLAN aggregation. Recent work addresses NB-IoT NTN solutions for LEO satellites. He has contributed 22+ peer-reviewed publications and led projects like ORCA and SFI Connect Centre.

Key research trends include Wi-Fi optimization (IEEE 802.11ax), energy harvesting for IoT, and MAC layer innovations. His work intersects networking, IoT, and reinforcement learning.

• Scientific Awards
  • Fellow of the Higher Education Academy (FHEA)
  • Associate Fellow of the Higher Education Academy (AFHEA)

Dr. Afaqui actively supervises PhD students and collaborates internationally. His projects involve dynamic sensitivity control, harq protocols, and ns-3 simulations, with applications in rescue operations and sustainable communication.