Muhammad Yunis Daha

INTRODUCTION

Dr. Muhammad Yunis Daha is an AFHEA-accredited Postdoctoral Researcher at Ulster University, Belfast, UK, specialising in AI-driven wireless communication systems for beyond 5G (B5G) and 6G networks. He completed his PhD in Engineering at Ulster University under the prestigious Vice-Chancellor’s Fellowship, where he developed scalable and complexity-aware deep learning models for signal detection and channel modelling in massive MIMO systems.

He has research experience as a Research Assistant on major UK-funded projects, including Cyber-ASAP (Innovate UK) – Drone Sentinel and INSPIRE-5G (UKRI-ISPF), where he worked on secure communications and 5G analytics using AI and data-driven techniques. Currently, he is working as a Postdoctoral Research Assistant on the PEACEPLUS Health Frontiers project, applying artificial intelligence and data science to support healthcare decision-making and improve system efficiency.

Dr. Daha has published over 19 peer-reviewed articles in leading journals and conferences (including IEEE, Elsevier, and Wiley) and has a strong track record in end-to-end research, from problem formulation to real-world implementation. Alongside his research, he holds the Associate Fellowship of the Higher Education Academy (AFHEA) and has teaching experience across undergraduate and postgraduate levels.

His research interests include deep learning, massive MIMO systems, 5G/6G wireless networks, AI in healthcare, and data analytics.