Date & Time:
Sunday, October 7, 13:00 – 15:00
4F R06 (Crystal)
This tutorial covers emerging topics on the algorithms used for healthcare predication and how to develop various human-machine systems that promise to revolutionize the state of the art and practice in healthcare prediction and intervention. Driven by the need for better understanding of pathology, more accurate diagnosis of various diseases, and affordable high-quality treatment methods, various humanmachine systems based on low-cost sensors and computing technologies have been developed. This tutorial introduces recent progress made in this field and open research issues, including:
- traditional approaches in the diagnosis and treatment of health issues and the need for technology-based solutions;
- the human-machine system model and technical details in technology-facilitated solutions;
- theoretical foundations on the predication and intervention of healthcare;
- clinical evaluation of exploratory human-machine systems for the treatment/diagnosis of behavior issues;
- open research issues.
Dr. Zhao is a Full Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University (CSU). He earned his PhD at University of California, Santa Barbara in 2002. Dr. Zhao has been doing research on smart and connected health since 2010 and on distributed systems since 1998. His research was sponsored by various US federal and state agencies, including the US National Science Foundation, the US Department of Transportation, the Ohio Bureau of Workers’ Compensation, the Ohio Department of Higher Education, and the Ohio Development Services Agency. Dr. Zhao has over 180 peer-reviewed publications, and a US patent (pending) on privacy-aware human activity tracking using programmable depth cameras and wearable sensors. He has served on several research panels for the US National Science Foundation, as the Keynote Speaker, Tutorial Speaker, General Chair or Program Chair for several international conferences, and as a member of the technical program committee for many IEEE conferences.