Publications

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
A privacy-preserving system that leverages Gramian Angular Field (GAF) transformations, Federated Learning, and wearable sensor data to detect Freezing of Gait (FoG) in individuals with Parkinson’s Disease
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
Neonatal Risk Modeling and Prediction
We propose an automated risk prediction system that can make recommendations to clinicians in real-time with machine learning classifiers that predict the risk of developing neurological impairment.
Neonatal Risk Modeling and Prediction
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design
We focus on devising algorithms that combine data about physical activity and engagement with the app to predict future physical activity performance.
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design