The Mobile Systems Research Lab concentrates on aspects related to the efficient and effective use of mobile and wearable systems to understand human behaviour and mobile health. Specifically this encompasses systems research related to efficiency of devices and communcation, novel sensing modalities and devices as well as on device machine learning, on one hand. On the other hand, it deals with the analysis of data generated by sensors and wearables with advanced machine learning techniques. The lab concentrates on applications related primarily to mobile health.
The group is seeking to recruit a new PhD student to work on "Probabilistic Machine Learning for Mobile and Wearable Health Data and Systems" in collaboration with Arm.