Hi ya!
Hongming is interested in applying latest deep learning and eXplainable AI (XAI) techniques to astrophysics. half of his current interests is to combine machine learning with citizen science to enable interesting scientific discoveries, while the other half was to develop potentially practical AI triggered data post-processing workflows for SKA.
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Hongming is now a Shuimu postdoctoral research fellow at the Department of Astronomy, Tsinghua Uni., in Dr. DDX's TAGLAB research group. He is working on deep learning applications upon the study of radio galaxy and galaxy dynamics. He is also the co-PI of an in-prep. Zooniverse citizen science project Radio Galaxy Zoo: EMU , which will pave the way for ASKAP EMU survey cataloguing and hunt thousands of unusual radio sources using state-of-the-art EMU radio sky survey data.
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Education
​2017-2021
​Jodrell Bank Centre for Astronomy, University of Manchester
Ph.D. in astronomy and astrophysics
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Thesis title: Giant Radio Galaxies as Probes of the
Low Density Inter‑galactic Medium
2014-2017
University of Manchester
MPhys. in physics and astronomy
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Dissertation title: Southern Large DRAGN Survey
2012-2016
Shandong University
B.Sc. in Space Science and Technology
