Research

Area 1: AI for smart health big data

Our lab leverages deep learning to uncover the power hidden in the smart health big data. Cutting-edge deep learning technologies, such as convolutional neural network, long short-term memory, and autoencoder have been thoroughly researched and implemented to deal with diverse kinds of challenges in smart health big data.


Area 2: Wearable computer for smart health big data

Our lab also leverages wearable computers to capture physiological and behavioral signs from human subjects. Customized wearable devices and systems have been designed and built to unobtrusively and informatively perceive multi-modal signals, which help grasp valuable dynamics of the human body and are learned by AI algorithms developed in our lab.



Research Multidisciplinary Technologies for Systematic Innovations:

Pervasive Embedded Intelligence; Wearable Intelligence; Artificial Intelligence; Medical IoT Platform; Wearable Sensing; Physiological Signal Processing; Smart Health Big Data.

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