Waleed Bin Qaim: Improving performance of Smart Wearable Devices through Edge Computing and Machine Learning

As consumer demand for more smarter and capable wearable gadgets grows, wearable technology faces challenges like short battery life and insufficient computing power to handle complex tasks. In his doctoral dissertation, M.Sc. Waleed Bin Qaim proposes a novel Machine Learning-based framework focussed on computational task offloading to address these challenges. His research allows wearables to leverage edge computing resources, enhancing both performance and user experience.