Dr
Usman
Naeem
PhD (Lon), BSc (Lon), SFHEA, SMIEEE
Dr Usman Naeem is a Reader (Associate Professor) in Computer Science Education within the School of Electronic Engineering and Computer Science at Queen Mary University of London. Usman is also a Queen Mary Academy Fellow in Learner Engagement Analytics.
Usman received his PhD from Queen Mary University of London in 2009.
His research focuses on educational and assistive technologies, including machine learning techniques, mobile computing, and ambient intelligent environments.
Usman has taught on a variety of programmes, ranging from traditional programmes such as BSc Computer Science to degree apprenticeship programmes such as BSc Digital & Technology Solutions Professional.
Usman is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
Usman received his PhD from Queen Mary University of London in 2009.
His research focuses on educational and assistive technologies, including machine learning techniques, mobile computing, and ambient intelligent environments.
Usman has taught on a variety of programmes, ranging from traditional programmes such as BSc Computer Science to degree apprenticeship programmes such as BSc Digital & Technology Solutions Professional.
Usman is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).