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Xiaoxia Han
Title:
Professor
Education:
Ph.D
Research Area:
Modeling and Optimization of Complex Industrial Process, Machine Learning and Data Mining
Email:
hanxueeryang@163.com
Biography
Publications
Prof Xiaoxia Han received her MA.Sc in Control Theory & Engineering and her Ph.D. degree in Circuits & Systems from Taiyuan University of Technology, Shanxi Province, China in 2005 and 2010 respectively. From 2015 to 2016 she was a visiting scholar at University of Saskatchewan, Canada and she is a professor of Taiyuan University of Technology since 2019. Her research interests include modeling and optimization of complex industrial process, Machine learning and Data mining.
[1] Xiaoxia Han, Yingchao Dong, Lin Yue, Quanxi Xu, Gang Xie, Xinying Xu, State-transition simulated annealing algorithm for constrained and unconstrained multi-objective optimization problems, Applied Intelligence, 2021, 51: 775–787.
[2] Xiaoxia Han, Lin Yue, Quanxi Xu, Yingchao Dong, Gang Xie, Xinying Xu, Efficient hybrid algorithm based on moth search and fireworks algorithm for solving numerical and constrained engineering optimization problems, The Journal of Supercomputing, 2020, 76:9404–9429.
[3] Junwen Chu, Yingchao Dong, Xiaoxia Han, Jun Xie, Xinying Xu, Gang Xie, Short-term prediction of urban PM2.5 based on a hybrid modified variational mode decomposition and support vector regression model, Environmental Science and Pollution Research, 2021, 28:56–72
[4] Xiaoxia Han, Lin Yue, Chaofan Zhao, Shaohua Jiang*, Junjie Liu, Yuting Li, Jun Ren, Comparison of machine learning algorithms in screening potential additives to Ni/Al2O3 methanation catalysts for improving the anti-coking performance, ChemistrySelect, 2019, 4: 11790-11795.
[5] Yuting Li, Xiaoxia Han, Chaofan Zhao, Lin Yue, Jinxian Zhao, Jun Ren, Screening of additives to Ni-based methanation catalyst for enhanced anti-sintering performance, Catalysts, 2019, 9: 493.
[6] Xiaoxia Han, Chaofan Zhao, Wei Sun, Bingying Han, Yahong Han, Jun Ren*, A density functional theory study of CO methanation mechanism on Ni4/SiC catalyst, Computational Materials Science, 2018, 153: 399-408.
[7] Xiaoxia Han, Chaofan Zhao, Haixia Li, Shusen Liu, Yahong Han, Zhilei Zhang, Jun Ren, Using data mining technology in screening potential additives to Ni/Al2O3 catalysts for methanation, Catalysis Science & Technology, 2017, 7: 6042-6049.
[8] Xiaoxia Han, Wei Sun, Chaofan Zhao, Ruina Shi, Xuhui Wang, Shusen Liu, Zhong Li, Jun Ren, Synthesis of dimethyl carbonate on single Cu atom embedded in N-doped graphene: Effect of nitrogen species, Molecular Catalysis, 2017, 443: 1-13.
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