Muhammad Diyan

Dr. Muhammad Diyan is a Lecturer in Computer Science at Teesside University, UK, with over 10 years of experience in academia and industry. He holds a Ph.D. from Kyungpook National University, South Korea (2017–2021), where his research focused on scheduling sensor duty cycling using Bi-Directional LSTM and Reinforcement Learning. He has held prestigious roles including Research Associate at University of Glasgow and Edinburgh Napier University, and Lecturer at University of Dundee.

His research spans AI, IoT, Data Science, Cybersecurity, Healthcare, and Computer Vision. Notable contributions include deep learning models for brain tumor detection, skin cancer early diagnosis via mobile applications, and energy-efficient IoT protocols. He has authored over 25 journal papers and conference proceedings, and received the UK Royal Academy of Engineering's Global Talent Visa for early-career innovators.

Diyan actively serves as a reviewer for high-impact journals, conference track chair, and guest editor for special issues. His work emphasizes real-world applications in healthcare, smart cities, and cybersecurity, blending theoretical rigor with practical implementation.