Projects
AI in Pediatrics
Developing AI methods tailored to neonatal and pediatric populations using imaging and clinical data.
Wearables + AI + Autoimmune Disease
Rheumatoid arthritis (RA) flares are unpredictable and often detected only after symptom escalation, delaying treatment adjustments and increasing the risk of joint damage. There is a critical need for continuous, objective monitoring tools that can identify early physiologic signals of disease worsening.
Noninvasive Cardiorespiratory Monitoring using Wearable RF Near-Field Coherent Sensing
This project implements a novel wearable RF sensor to monitor various respiratory patterns including sleep apnea with high signal to noise ratio.
CLEAR: Counting and Location Estimate using Ambient Radio signals
This project implements novel high-resolution Radio-Frequency (RF) imaging in indoor environment to monitor untagged people or objects.
Accuracy and Resources Trade-off in Machine Learning Algorithms
This short-term project implemented approximation ML techniques for resource-constrained scenarios.
Online Trainable Near-Field Communication (NFC) Reader
This project demonstrated ML-based digital data demodulation.
Low-Voltage Arc Detection and Sensor Placement
This project implemented arc classification algorithm, and optimal arc sensor placement algorithm in a grid.