The Mehta Research Group’s focus can be divided broadly into two areas: Controlled interacting particle systems and application of said algorithms to machine learning problems. For the former, our emphasis is on developing particle-based algorithms for nonlinear estimation and mean-field optimal control. In particular, Mehta's research group at UIUC invented the feedback particle filter (FPF) algorithm for nonlinear estimation. In our research group, the FPF algorithm was applied to solve the human activity recognition (HAR) problem using real-time data from body-worn motion sensors (accelerometer and gyroscope). Our research areas include:

- Dynamics & Controls
- Energy
- Security and Defense

Our Group Leader is Prashant Girdharilal Mehta.

Check out the tabs below to learn about our projects or click here to learn more.