Mohammed is a third year joint PhD candidate in the Department of Bioengineering at Imperial College and the Health Moonshot unit at Telefonica Alpha. His research is funded by the Marie Curie Fellowship and focuses on building personalised technologies to improve well-being, by using a combination of Data Science, Mobile Computing, Recommender Systems, and Psychology. Previously, he obtained a Master of Science from the Department of Electrical and Electronic Engineering at Imperial and a Bachelor of Technology in Electronics and Communication Engineering from Vellore Institute of Technology, India.
Mohammed's research investigates methods to promote subjective well-being through technology (particularly smartphones) and focuses on three distinct, yet complementary outcomes: - Development of user segmentation models that link psychological constructs (primarily personality traits) and daily behaviours to well-being. - Creation of personalised recommender systems that provide an ideal set of behaviours to improve well-being. - Machine learning based prediction of variables that compose user segmentation models, using smartphone sensing data.