Research Interests
- Sensor Design
- Acoustic and Vibration Analysis and Signal Processing
- Automatic/Autonomous Control for Smart Sensing
- Machine Learning
- Health Monitoring and Wear Prediction
Activity
I am very interested in collaborations in sensing design - both at the sensor level and at the larger, system level where a combination of multiple sensors can be used for improved diagnostic outcomes. I am interested in integrating these ideas into digital twins. I am also interested in novel uses for distributed optical fiber-based sensing approaches in combination with other techniques such as laser vibrometry and traditional sensors like accelerometers for extreme environments.
Machine Learning-based Health Monitoring and Wear Prediction
We are currently actively working on multiple projects, including applying machine learning tocreate a low-cost manufacturing health monitoring system and structural acoustic sensing in abiomedical application to enable novel sensing capabilities.
Sensing in Extreme Environments
We are working on how to develop MEMS sensors based on resonant technologies, exploiting ourinnovations in signal processing that allow for multiple measurements (e.g. temperature andpressure) from the same sensing element, allowing fewer penetrations and moving towardswireless monitoring.
Bajaj Research Lab
The overall interests in our research group are nonlinear dynamics, control theory, and machinelearning, applied to improve sensing systems, diagnostics, and vibration control.
