Ahmad Adnan Qidan

Dr. Ahmad Adnan Qidan is a Research Associate in the Department of Engineering at King’s College London, UK. He previously served as a Research Fellow at the Institute of Communication and Power Networks within the School of Electronic and Electrical Engineering at the University of Leeds (2020-2023). His career focuses on advancing optical wireless communication systems through AI-driven optimization.

• PhD in Multimedia and Communications from Universidad Carlos III de Madrid (2020)
• Current affiliation: King’s College London
• Past affiliation: University of Leeds

Dr. Qidan's research bridges optical wireless communication with machine learning, targeting efficiency in high-speed networks. Key areas include interference management, power allocation, and dynamic resource optimization.

His publications highlight trends in AI/ML for OWC, NOMA systems, and IRS technologies, with recent work addressing satellite-terrestrial network integration and energy-efficient architectures.

• Outstanding Thesis Award (2020-2021) - Universidad Carlos III de Madrid
• IEEE PhD Thesis Award (2020) - IEEE Spanish Signal Processing and Communications

Dr. Qidan contributes as a reviewer to leading IEEE journals and has published extensively on AI-driven solutions for optical wireless systems, despite no explicit mention of student advising or grant funding.