I am a Full Professor of Mobile Systems in the Department of Computer Science and Technology and I head the Mobile Systems Research Laboratory. I am also the centre co-director for the Centre for Mobile, Wearable Systems and Augmented Intelligence. My interests are in the study of mobile systems, the learning from their data offline and on device and their applications, especially in terms of mobile health. I hold an ERC Advanced Research Grant (2019-2024).

News

Our paper Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation is out in JMIR and covered in this blog post.

Here is the syllabus of my new Mobile Health course! Watch this space for more content!

Our Covid Sounds Work won the Department's Better Future Award this year! Coverage here.

Our paper "Machine Learning Detects Altered Spatial Navigation Features in Outdoor Behaviour of Alzheimer’s Disease Patients" was accepted in Nature Scientific Reports. See publication page for details.

Our paper "Sounds of COVID-19: exploring realistic performance of audio-based digital testing" publshed in Npj Digital Medicine is covered in this blog post

My University of Oxford Strachey Lecture talk can be found here.

Our paper on On-Device Emotion Recognition won the 10-Year Impact Award at ACM Ubicomp!

I have delivered a talk in the MIT IoT Seminar Series.

I have delivered the BCS/IET Turing Talk in February 2021.

Download our COVID-19-Sounds data collection app.

The COVID-19 Sounds workshop has nice recordings now online!