Awarded an ERC Advanced Research Grant (2019–2025)
Awarded an EPSRC Open Research Fellowship (2025–2030)
Received an ERC Proof of Concept grant for hearables in health applications
Paper on respiration rate monitoring from earables won Best Paper Award at IEEE Percom
Paper 'TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices' accepted at NeurIPS 2024
Paper 'TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge' accepted at ICML 2024
Paper on machine learning detection of spatial navigation changes in Alzheimer’s patients won the Computer Laboratory Ring Hall of Fame Best Paper Award
Project 'RELOAD: REspiratory disease progression through LOngitudinal audio Data machine learning' funded by UKRI AI for Health
Former PhD student Andrea Ferlini received the 2023 ACM SIGMOBILE Doctoral Dissertation Runner-up Award
Delivered keynote speeches at IEEE Percom 2024, ICDCS 2023, CHIA Annual Conference, and Imperial-X seminar series
Background
Full Professor of Mobile Systems, Department of Computer Science and Technology, University of Cambridge
Head of the Mobile Systems Research Laboratory
Director of the Centre for Mobile, Wearable Systems and Augmented Intelligence
Research interests include mobile systems, learning from their data (offline and on-device), and applications, especially in mobile health