Quotes Projects

"What we usually consider are impossible are simply engineering problems... there's no law of physics preventing them."
- Michio Kaku


Past projects

Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring).

Temporal alignment of two or more subjects recorded from heterogeneous sensors is a challenging problem. This project develops statistical techniques for spatio-temporal alignment of multidimensional time series.

Temporal Segmentation of Human Motion & Temporal Segmentation of Facial Behavior.

Learning facial indicators of deception.

Machine learning algorithms to detect hot flashes in women using physiological measures.

Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.

We are developing the Camera Assisted Meeting Event Observer (CAMEO) - a sensory system designed to provide an electronic agent with physical awareness of the real world.

We are working to create an intelligent assistant to help patients and clinicians work together to manage diabetes at a personal and social level. This project uses machine learning to predict the effect that patient specific behaviors have on blood glucose.

Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.

The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function without requiring expert tuning or specially trained users.