Xiao Wang received B.A. degrees in Mathematics and Computer Science with honor from Saint John’s University, MN, in 2012, and M.S. E.E. degree in electrical and compute engineering from Purdue University, West Lafayette, IN, in 2016. In 2017, He received a PhD degree in electrical and computer engineering from Purdue University, under the supervision of Professor Charles Bouman and Samuel Midkiff. Currently, he works as a postdoctoral research fellow both at Harvard Medical School and Boston Children's Hospital under the supervision of Professor Simon Warfield.

 

Xiao Wang's research interest focuses on applying machine learning, medical physics, image processing and high performance computing to computed tomographic (CT) reconstruction, so that the reconstruction algorithm tightly integrates with CT detector sensor design and data acquisition physics, making it possible to observe phenomena at a super-resolution previously diifficult or impossible to measure with traditional approaches. Applications of his research work are applied to CT medical imaging, security imaging, biology microscopy imaging and synchrotron imaging. He and his advisors are selected to be the 2017 ACM Gordon Bell Prize finalist for their research work on CT image reconstructions.