【Education Background】

1. 2002-2004, majored in Computer Science and Technology, Wuhan University of Science and Technology, and got the bachelor’s degree.

2. 2004-2007, graduated from the college of Computer and Communication Engineering,University of Science and Technology Beijing, and got the master’s degree.

3. 2013-2018, graduated from the college of Computer and Communication Engineering,University of Science and Technology Beijing, and got the doctor’s degree.

【 Work Experience】

1. 2007-2016, Mechanical Engineering Department, Institute of Engineering Technology, University of Science and Technology Beijing

3. 2016-Present, Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing

【 Individual Resume】

Associate Professor, currently work on collaborative innovation center of steel technology, Institute of Material Inspection and Intelligent Manufacturing.

【Research Orientation】

1. Industrial big Data analysis

2. Manufacturing intelligent manufacturing development plan

【Achievements】

【Research Projects】

1. Common technology of product quality control driven by integration of industrial big data and mechanism

2. Chinalco Advanced Manufacturing intelligent manufacturing development plan

【 Academic Papers】

1. Xu Gang,Zhang Xiaotong,Xu, Jinwu. Data Augmentation of Micrographs and Prediction of Impact Toughness for Cast Austenitic Steel by Machine Learning

[J]. Metals, 2023.

2. Xu Gang,He Jinshan,Lu, Zhimin,Li, Min,Xu, Jinwu.  

Prediction of mechanical properties for deep drawing steel by deep learning[J].    

INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2023.

【Monographs】

1. Xu Jinwu, Xu Ke,He Fei,Li Ming,Xu Gang. Theory and method of quality control in metallurgical production process. Metallurgical Industry Press, 2015.

【 Patents】

1. Xu Gang,Zhang Xiaotong;,Li Ming,Ma Fuqiang，Tang Jing, The invention relates to a production method of a Full-process product quality online control system, ZL201610496297.4

【 Rewards】

1. Technology and platform of product quality intelligent control in steel-rolling process, 2021

2. Research and application of intelligent operation and maintenance system solutions for equipment in steel industry, First Prize of Metallurgical Science and Technology Progress, 2022