/Dong Huang

Dong Huang

Portrait of Dong Huang
Project Scientist
Office: 111 Elliot Dunlap Smith Hall
Phone: (412) 268-3818
Personal Homepage
Associated Lab: Human Sensing

Mailing Address

Research Topics

  • Computer Vision
  • Light-weighted Deep Learning
  • Visual Perception on Moving Platforms
  • Wireless and Wearable Human Sensing

Applications

  • Computer Vision
  • Surveillance & Security
  • Field Robotics
  • Health Care

See more details in my Research Projects

Advances in sensors, machine learning and computer vision hold tremendous potential to reshape our world. My research focuses on unlocking this potential contained in applied machine learning approaches, and applying them in intelligent and measurable ways to improve safety and quality-of-life. My research and current projects can be broken down into two main areas:

  1. Visual perception on moving platforms for safety: My research team at RI CMU empowers camera and sensors on moving platforms—embedded camera/sensors, quadcopters, smart phones, vehicles and robots—with advanced AI/ML technologies. In particular, we develop light-weighted Deep Neural Networks (DNN) for moving platforms that significantly extends the view, range and field of stationary cameras and sensors. We are making intelligent perception solutions accessible for general industries and markets.
  2. Human sensing for health care: We work with sensory data (e.g., videos, wearable sensor signal, and WiFi Signal), use ML approaches to detect body behaviors, disease symptoms and physical metrics, and analysis the detected patterns for the purpose of improving quality-of-life for patients and elderly.
Displaying 1 Publications
2017-09-13T10:39:08+00:00