School of Engineering, Information Technology and Physical Sciences

Deep Learning for Internet of Things Devices

Project Title:

Deep Learning for Internet of Things Devices


Prof Joarder Kamruzzaman

Contact person and email address:

A brief description of the project:

In recent time, deep learning has shown successful applications in many domains like speech and video applications and researchers tried to enhance learning models to work with large scale problems generating big data. Those deep learning models depend on the abundance of computational and memory resources, and therefore not suitable for deep learning’s successful implementation on IoT (Internet of Things) devices, which are highly resource constraint. This project will concentrate on developing models and approaches based on deep learning so that learning can be done within the resource-constrained environment and be deployed in small IoT devices.