Cecilia Mascolo
Scholar

Cecilia Mascolo

Google Scholar ID: Ej4BNaQAAAAJ
University of Cambridge
Mobile SystemsMobile HealthWearable Data Machine LearningOn Device Machine Learning
Citations & Impact
All-time
Citations
8,911
 
H-index
50
 
i10-index
163
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • 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
  • Fellow of the Royal Academy of Engineering
  • Currently on sabbatical