Meenu Swaminathan

1. Context aware diabetes control using Machine learning (on going)

• Collecting, processing and analyzing body sensor data

• Using machine learning techniques to precisely predict health condition

• Generate optimal insulin dosages and life style choices

2. MAC & PHY implementation for wireless communication (0n going)

• Optimal resource allocation, IEEE 802.15.x protocol stack

• Channel based adaptive transmission control, Bayesian inference, Markov models

• Application: Heart rate, accelerometer-gyroscope based implant actuation

3. Multi-tissue heterogeneous channel analysis

• Electromagnetic field analysis, frequency dependent channel characterization

• Electrical circuit model, FEM & FDTD based models, Porcine tissue testbed

• Thermal & electrical tissue safety analysis, noise & interference study

4. Optimal body node positions

• Network topology in 3D heterogeneous tissue, Energy ecient-balanced clusters

• Statistical link analysis, Geometric tessellation, kNN

• Convex optimization, Phantom-USRP testbed