DrMuhammad Islam

Muhammad's research focuses on developing secure, privacy-preserving, efficient and intelligent distributed computing systems, particularly for mobile, edge and resource-constrained environments. His research interests span blockchain technologies, mobile cloud and collaborative computing, edge computing, Internet of Things (IoT), differential privacy and applied artificial intelligence.

His current research explores mobile collaborative computing, investigating how mobile and edge devices can collaboratively share computational resources to support efficient distributed processing. This includes research challenges involving resource allocation, trust, task validation, privacy and the effective utilisation of distributed computing capabilities.

He is also engaged in collaborative research on cost-effective edge-IoT and intelligent sensing systems, with applications in smart waste management and early hazard detection. This work investigates the integration of multimodal sensing, edge intelligence and real-time monitoring to develop practical solutions for improving operational safety and efficiency.

These directions build on his doctoral research in privacy-preserving blockchain technologies for Industrial Internet of Things (IIoT) environments, which investigated approaches to balancing data privacy, utility and system performance. His broader research aims to advance trustworthy, resource-efficient and deployable computing solutions that connect technological innovation with real-world industrial and societal challenges.

Alongside his technical research, Muhammad is interested in the scholarship of teaching and learning, particularly authentic and portfolio-based assessment, academic integrity and the responsible integration of Generative AI in higher education.