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
Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems
Proposed a wrapper based framework for a National Clinical Data Warehouse (NCDW) designed to address the unique challenges faced by healthcare systems in developing countries
Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
Introduced MetaBoost, a novel hybrid framework that integrates weighted averaging and iterative weight tuning to optimize synthetic data generation and improve model robustness
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals