Md. Abdur Rahman

TL;DR: A Blockchain-based infrastructure to support security- and privacy-oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT)-enabled sharing economy in mega smart cities.

TL;DR: An in-home therapy management framework, which leverages the IoT nodes and the blockchain-based decentralized MEC paradigm to support low-latency, secure, anonymous, and always-available spatiotemporal multimedia therapeutic data communication within an on-demand data-sharing scenario.

TL;DR: Two new quantum information hiding approaches are put forward that have excellent visual quality and high embedding capacity and security and are illustrated using a scenario of sharing medical imagery between two remote hospitals.

TL;DR: An edge IoMT system that uses DL to detect diversified types of health-related COVID-19 symptoms and generates reports and alerts that can be used for medical decision support and test results show the suitability of the system for in-home health management during a pandemic.

TL;DR: A B5G framework that supports COVID-19 diagnosis, leveraging the low-latency, high-bandwidth features of the 5G network at the edge and adding semantics to existing DL models so that human domain experts on CO VID-19 can gain insight and semantic visualization of the key decision-making activities that take place within the deep learning ecosystem.