Qiyue Wang
About Qiyue Wang
Qiyue Wang is a Graduate Research Assistant at The George Washington University, specializing in health condition estimation through 3D body shape analysis. With a PhD in Computer Science and extensive experience in motion capture and 3D surface reconstruction, Wang's research interests include intelligent medicine and medical image processing.
Work at The George Washington University
Qiyue Wang has been employed as a Graduate Research Assistant at The George Washington University since 2018. In this role, Wang focuses on estimating health conditions through 3D body shape analysis. This position allows for the application of advanced research techniques in the field of health and medicine, contributing to the understanding of how body shape can influence health outcomes.
Education and Expertise
Qiyue Wang holds a PhD in Computer Science from George Washington University, where studies were completed from 2018 to 2022. Prior to this, Wang earned a Master's degree in Electrical Engineering from Beihang University between 2014 and 2017. Wang also obtained a Bachelor's degree in Electrical Engineering from the University of Science & Technology Beijing, studying from 2010 to 2014. This educational background provides a strong foundation in both computer science and engineering principles.
Background
Before joining The George Washington University, Qiyue Wang gained practical experience as a Research Intern at the China Aerospace Science and Technology Corporation in 2017. This internship lasted three months and took place in Beijing, China. Wang also worked as a Computer Vision Engineer at the Chinese Academy of Sciences from 2017 to 2018, further enhancing expertise in the field of computer vision.
Research Interests
Qiyue Wang's research interests include intelligent medicine and medical image processing. The focus on these areas reflects a commitment to advancing healthcare technologies through innovative research methodologies. Wang has also conducted research in motion capture and 3D surface reconstruction, which supports the broader goal of improving health condition estimation.