Rida Zia-ul-Mustafa

Rida Zia-ul-Mustafa is a Research Fellow at the Department of Mathematics, Physics and Electrical Engineering, Northumbria University. His research focuses on visible light communications (VLC), machine learning applications in telecommunications, and secure 5G mmWave systems. He explores quantum key distribution for VLC systems and develops novel positioning schemes leveraging LED technology.

His work integrates physical layer security techniques such as SVD-based encryption with context-aware networking protocols. Recent contributions include machine learning-driven channel allocation for VLC and ambient light mitigation strategies in indoor positioning systems. He has also investigated smart city infrastructure leveraging machine learning-enabled systems.

No scientific awards explicitly mentioned in the provided data. His publications span both hardware-oriented optical communications and software-defined networking approaches, with a focus on merging cybersecurity principles with emerging wireless technologies. Advising and grants details not available in current text.