Invited Speakers(Ordered alphabetically)

Prof. TANG, Xiao-Ying

Southern University of Science and Technology, China

2019/8/22 11:22:30

Prof. Xiao-Ying TANG

Prof. TANG Xiaoying

Dr. Xiaoying Tang received B.S. in Automation from Huazhong University of Science and Technology, Wuhan, China in 2009. She received M.S. in Electrical and Computer Engineering in 2011, M.S. in Applied Mathematics and Statistics in 2014, and Ph.D. in Electrical and Computer Engineering in 2014, all from Johns Hopkins University, Baltimore, USA. She did her postdoctoral research at the Center for Imaging Science at Johns Hopkins University from 2014 to 2015. She was a visiting professor at the Department of Electrical and Computer Engineering at Carnegie Mellon University from May 2015 to September 2016. From 2015 to 2018, she was an Associate Professor at the School of Electronics and Information Technology at Sun Yat-sen University, Guangzhou, China. She is currently a tenure-track Assistant Professor and Associate Researcher at Southern University of Science and Technology, Shenzhen, China. She also serves as Adjunct Professor at the Electrical and Computer Engineering Department at Johns Hopkins University since May 2015 and the Electrical and Computer Engineering Department at Carnegie Mellon University since February 2016.
She has been supported by the National Natural Science Foundation of China, the National Key R&D Program of China, and Shenzhen Science and Technology Innovation Committee Funds, as PI. She serves as Guest Associate Editor and Research Topic Editor at the Frontiers in Neuroscience and Frontiers in Neurology journal, as well as Area Chair for the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019). Since 2013, she has published more than 30 peer-reviewed journal papers, 26 conference proceedings, 1 book chapter, and 11 patents, with over 500 citations.
Her main research interest lies in the field of medical image analysis, including MRI based segmentation and registration, statistical shape analysis, statistical modeling, machine learning, computer vision, and big bioimage data.

Key Dates

Submissions opens:
15 April 2019

Paper submission Deadline:
August 9 2019
Accept/reject notification:

24 August 2019

Deadline for Early bird registration:
30 August 2019

Deadline for Online registration:
26 September 2019

On-site registration & reception:
27 September 2019