Muhammad Awais

Dr. Muhammad Awais is an Associate Professor in Computing Sciences at the University of East Anglia (UEA), UK. He is a member of the Data Science and AI group and Health Technologies research cluster. Previously, he held roles including Senior Lecturer at Edge Hill University and Research Fellowships at institutions such as the University of Hull, University of Leeds, and University of Bologna. His academic background includes a PhD in Biomedical, Electrical, and Systems Engineering from the University of Bologna (2019).

His research focuses on AI-driven solutions in healthcare, IoT, and Industry 4.0, with expertise in machine learning, deep learning, and wearable computing. Key areas include:

• AI-enabled medical systems (e.g., blood vessel segmentation in fundus imaging)
• Fog computing and resource optimization in IoT networks
• Predictive health analytics using electronic health records
• Smart healthcare frameworks for chronic disease management

He leads projects funded by Innovate UK, including AI-based trust management in Internet of Medical Things (IoMT) systems. His work bridges biomedical engineering and ICT, addressing challenges in digital health, energy-efficient networks, and immersive healthcare technologies.

Education Background:

• PhD in Biomedical, Electrical, and Systems Engineering, University of Bologna (2019)
• M.S. in Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (Malaysia)
• B.S. in Electronic Engineering, Mohammad Ali Jinnah University (Pakistan)

He actively supervises PhD and MSc students in AI, IoT, and digital health, and has published over 50 peer-reviewed articles in journals like Fuel, IEEE Access, and Computers, Materials & Continua. His research emphasizes practical applications in healthcare monitoring, cybersecurity for IoT, and sustainable energy systems.