Cecilia Mascolo
Professor of Mobile Systems
Studies mobile and wearable systems and learning from their data offline and on device, with mobile health applications such as cough and cardiac sensing.
Cecilia Mascolo's lab at Cambridge works on medical imaging & healthcare AI. 73 papers since 2023, 12 at top venues, mostly ICASSP and ICML. 8 PhD students. 28 alumni. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 16%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 28
Papers by yearfrom the lab homepage, 2023–2026
- 20 papers2026 · T1 5 · collecting
- 15 papers2025 · T1 3
- 21 papers2024 · T1 3
- 17 papers2023 · T1 1
T1 venuesOtherVenues: ICASSP, ICML, NeurIPS, SenSys, CIKM
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI10 papers
- mobile4 papers
- cardiac3 papers
- wearable systems0 papers
- offline0 papers
Paper list
From the lab homepage.
202620 papers
- Pervasive and Mobile Computing JournalA Cascade Framework for On-Device Uncertainty-Aware Event Detection on Microcontrollers
- SenSys (T1)A Robust In-Ear Audio System for Nutrition-focused Food Classification
- IMWUTA Survey of Earable Technology: Trends, Tools, and the Road Ahead
- ICLR (T1)Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization
- WearAgentBuilding Reliable LLM Coding Agents for Mobile Health Data Analysis
- J-BHIContinuous Mobile Audio Monitoring for Sleep Apnea Detection
- Journal of Applied BiomechanicsEar-worn inertial sensors can predict gait metrics and reconstruct vertical ground reaction force curves during running
- HotMobileEarCalo: Earable-Based Energy Expenditure Estimation While Running
- IMWUTImpactEar: Cross Activity Ground Reaction Force Estimation using Earable IMUs
- Axiom (Foundations of Efficient Deep Learning) workshop at NeurIPSLeanTTA: A Backpropagation-Free, Stateless Approach to On-Device Test-Time Adaptation
- LIGHT (Lightweight Trustworthy Foundation Models) workshop at NeurIPSMargins, Not Windows: Training-Free Per-Step Lossy Speculative Decoding
- Nature Communications (T1)Measuring Cardiac Stroke Volume Through In-ear Audio Sensing
202515 papers
- CinCAdapting Audio Foundation Models for Heart Sound Analysis
- EMBCDeep-Learning Based Segmentation of In-Ear Cardiac Sounds
- Proceedings of IEEE-EMBS International Conference on Body Sensor NetworksEar-ECG Denoising Using Heart Sounds and the Extended Kalman Filter
- IMWUTEarMeter: Continuous Respiration Volume Monitoring with Earables
- ICASSP (T1)Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
- Proceedings of AHLI Conference on Health, Inference, and Learning (CHIL)Electrocardiogram–Language Model for Few-Shot Question Answering with Meta Learning
- IMWUTHearForce: Force Estimation for Manual Toothbrushing with Earables
- ICASSP (T1)Heart Sounds for High Blood Pressure Prediction
- Proceedings of International Workshop on Open Wearable ComputersOpenBrush: An Open-Source Manual Toothbrush for Force and Motion Sensing
- PerComRespEar: Earable-Based Robust Respiratory Rate Monitoring
- EMBCSALTS: Streamlined Adaptive Learning for Sensors Time Series
- NeurIPS (T1)SensorLM: Learning the Language of Wearable Sensors
202421 papers
- Pervasive and Mobile ComputingAn evaluation of heart rate monitoring with in-ear microphones under motion
- Human-Centric Representation Learning WorkshopBalancing Continual Learning and Fine-tuning for Human Activity Recognition
- IMWUTBreathPro: Monitoring Breathing Mode during Running with Earables
- UbiComp/ISWC Workshop EarCompBrushBuds: Toothbrushing Tracking Using Earphone IMUs
- Workshop on Body-Centric Systems and Applications. (BodySys ); colocated with ACM MobiSys24Detecting Foot Strikes during Running with Earbuds
- UbiComp/ISWC Workshop EarCompEarTune: Exploring the Physiology of Music Listening
- Proceedings of IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC ). Fiji DecemberECG-DPM: Electrocardiogram Generation via a Spectrogram-Based Diffusion Probabilistic Model
- EMBC24Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN
- ML4H2024FedEE: Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications
- Proceedings of the ACM Conference on Knowledge Discovery and Data (KDD). Research TrackFLea: Addressing data scarcity and label skew in federated learning via privacy-preserving feature augmentation
- Workshop on Body-Centric Systems and Applications. (BodySys ); colocated with ACM MobiSys24IMChew: Chewing Analysis using Earphone Inertial Measurement Units
- CinC24Listening to the Heart: Unifying Open Audio Databases for Cardiology Research
202317 papers
- Nicotine & Tobacco ResearchAn automated, online feasibility randomised controlled trial of a Just-In-Time Adaptive Intervention for smoking cessation (Quit Sense)
- Proceedings of the ACM Conference on Knowledge Discovery and Data (KDD). Applied Data Science TrackConditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19
- ICASSP23Cross-device federated learning for mobile health diagnostics: a first study on COVID-19 detection
- EMBC23Denoising Cough Sound Recordings Using Neural Networks
- Nature Scientific DataEarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signal
- Computing in Cardiology ConferenceEmbracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection
- Journal of Medical Internet Research (JMIR).Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: A Comparative Study
- ICASSP23Heart rate extraction from abdominal audio signals
- PerComhEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones
- Royal Society Open ScienceHuman-centered AI for mobile health sensing: challenges and opportunities
- SenSys (T1)LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
- IJCAI23Modeling with Homophily Driven Heterogeneous Data in Gossip Learning
Where alumni went28 listed
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
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- English
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- Fee
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Confirmed on the program page.
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