CAII Fall Seminar Series "Machine learning and Inverse Problems in Scientific Imaging" by Zhizhen Zhao

Event Type

Seminar/Symposium

Sponsor

Center for Artificial Intelligence Innovation

Date

Nov 1, 2021   11:00 am - 12:00 pm  

Speaker

Zhizhen Zhao, Department of Electrical and Computer Engineering

Views

92

Originating Calendar

Center for Artificial Intelligence Innovation

Dr. Zhizhen Zhao, Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, will give a presentation during the CAII Seminar Series on Monday, November 1 at 11:00 a.m. The talk is titled “Machine learning and Inverse Problems in Scientific Imaging." 

View Seminar here: https://go.ncsa.illinois.edu/2021CAIIFallSeminarSeries 

Abstract:

Machine learning for scientific imaging is a rapidly growing area of research used to characterize physical, material, chemical, and biological processes in scientific experiments. For solving the inverse problems encountered in scientific imaging, we need to incorporate physics-based imaging processes and the geometric properties of the imaging data.

In this talk, I will present some of our recent studies in cryo-electron microscopy (EM) image analysis and unknown view tomography. Typical computed tomographic reconstruction assumes that the imaging directions are given, however, there are some situations in which the imaging directions are unknown, for example, when imaging a moving object. In addition, for certain applications, we need to use low dose imaging, which makes the data extremely noisy. I will give a brief review of the manifold learning and distribution learning and show how these perspectives combined with physics-based imaging model may help us to advance unknown view tomography and cryo-EM image analysis.

Speaker Bio: 

Zhizhen Zhao is an assistant professor in the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, with affiliation to the Coordinated Science Laboratory and the National Center Supercomputing Applications. She is also an affiliate assistant professor in the Department of Mathematics and the Department of Statistics. Prior to joining ECE Illinois in 2016, she was a Courant Instructor at the Courant Institute of Mathematical Sciences, New York University. She received her PhD in Physics from Princeton University in 2013 working with Amit Singer and graduated from Trinity College, Cambridge University, with bachelor's and master's degrees in physics in 2008. 

All presentations will be recorded and will available on the CAII website shortly after the presentation.