Research & Projects

MCID using DeepLearning Methods and Non-invasive Data

Cognitive Impairment Detection & Deep Learning

To learn more about this innovative approach to detecting Mild Cognitive Impairment, view the full article published on arXiv.

ExpressionBot (Socio-SDS)

(DreamFace Technologies LLC)

Robotics & Artificial Intelligence

This project involving the development of SocioBot-SDS (SocioBot-Spoken Dialog System), an instrument in the form of a robotic character with an emotional response, is expected to [...]

Behavior Recognition from Brain Signals (Deep-Brain Stimulation / Parkinson’s Disease)

Biomedical Signal Processing

This project focuses on developing a robust pattern recognition system to recognize and classify human’s behavior (e.g. language and motor tasks) from different brain electrical si [...]

Facial Expressions Recognition (Affective Computing)

Computer Vision & Pattern Recognition

The objective of this project is to develop and implement state-of-the-art computer vision algorithms for recognition of facial expressions. Our focus is on using deep neural netwo [...]

Deep Learning for Visual Object Recognition

Computer Vision & Pattern Recognition

This project focuses on developing and implementing state-of-the-art computer vision algorithms for visual object recognition. Our focus is on using deep neural networks on in-the- [...]

Deep Learning for Indoor and Outdoor Positioning

Computer Vision & Pattern Recognition

Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for positioning inside buildings and in urban canyo [...]

Autism Robot Assist

Robotics & Artificial Intelligence

This project aims to develop and utilize humanoid robots for analyzing behavior principles of children with ASDs and go beyond simple goals of using robots as a neat toy to make ki [...]