Professor of Mobile Systems

Fellow of Jesus College

Mobile Systems Research Laboratory

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 a 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).


  • I am looking for PhD Students on Hearable Computing: here is the advert for a studentship!.
  • "RELOAD: REspiratory disease progression through LOngitudinal audio Data machine learning." funded through UKRI AI for Health .
  • An ERC Proof of Concept grant was awarded to my team for our work on hearables for health.
  • I have delivered a keynote speech at ICDCS23 in Hong Kong
  • Ex PhD Student Andrea Ferlini won the 2023 ACM SIGMOBILE Doctoral Dissertation Runner-up Award!
  • My podcast on Mobile Health can be found in series.
  • Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study is out.
  • Our paper Machine Learning Detects Altered Spatial Navigation Features in Outdoor Behaviour of Alzheimer’s Disease Patients won the Computer Laboratory Ring Hall of Fame Best Paper Award!
  • I have given the inaugural talk in the new Imperial-X seminar series.
  • We have organized this event on Using Mobiles and Wearables for Public Health. My talk for it is here.
  • Finished teaching a new, first of its kind, Mobile Health course: slides and videos available!
  • We have a seminar series on Mobile and Wearable Health: all welcome online and in person!
  • Our paper on Motion-resilient Heart Rate Monitoring with In-ear Microphones was accepted at Percom 2023!
  • Read about our work on VO2Max estimation with wearables in free living context here. Paper here.
  • I have delivered a talk at the Royal Society event on Innovation in Sport.
  • 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.
  • Our Covid Sounds Work won the Department's Better Future Award this year! Coverage here.
  • 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!
  • Group

    I head a team of about fifteen researchers, including postdocs and PhD students. I have graduated around twenty additional PhD students.


    My publications can be found on the team's page.
    My Google Scholar page is here.


    You can find my bio and more about me here, including professional activities.


    I w ork on a variety of projects funded by research councils and industry.


    I teach two courses, in particular a course on Mobile Health. I am also Director of Studies for Computer Science in Jesus College.