Wei W Xing
My academic home page: wxing.me. I am currently an assistant professor in the School of Integrated Circuit Science and Engineering at Beihang University, with expertise in engineering design optimization, computational engineering, and machine learning. My work is primarily focused on the modeling and simulation of spatial-temporal fields (temperature fields of batteries and fuel cells, stress...details>
Teacher
Supervisor of Master's Candidates
School/Department:School of Integrated Circuit Science and Engineering, Beihang University
Status:Assistant Professor
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Research Focus
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Social Affiliations
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Education Experience
2008/9-2012/7深圳大学 | 机械制造及其自动化 | Bachelor's Degree in Engineering | University graduated
2012/9-2016/9华威大学 | 计算数学 | 哲学博士学位 | With Certificate of Graduation for Doctorate Study
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Work Experience
2016/9-2017/9工程学院 | 华威大学 | 博士后
2017/9-2019/12科学计算与图像研究中心 | 犹他大学 | 博士后
- 1.• Triantafyllidis, V., Xing, W., Shah, A. A., & Nair, P. B. (2016). Neural network emulation of spatio-temporal data using linear and nonlinear dimensionality reduction. In Advanced Computer and Communication Engineering Technology (pp. 1015-1029). Springer, Cham.
- 2.• Xing, W.W., Triantafyllidis, V., Shah, A.A., Nair, P.B. and Zabaras, N., 2016. Manifold learning for the emulation of spatial fields from computational models. Journal of Computational Physics, 326, pp.666-690. （中科院分区Q2，JCR Q1）
- 3.• Shah, A. A., Xing, W. W., & Triantafyllidis, V. (2017). Reduced-order modelling of parameter-dependent, linear and nonlinear dynamic partial differential equation models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 473(2200), 2016080...
- 4.• Xing, W., Shah, A. A., Urasinska-Wojcik, B., & Gardner, J. W. (2017, October). Prediction of impurities in hydrogen fuel supplies using a thermally-modulated CMOS gas sensor: Experiments and modelling. In 2017 IEEE SENSORS (pp. 1-3). IEEE.
- 5.• Triantafyllidiis, V., Xing, W. W., Leung, P. K., Rodchanarowan, A., & Shah, A. A. (2018, June). Probabilistic sensitivity analysis for multivariate model outputs with applications to Li-ion batteries. In Journal of Physics: Conference Series (Vol. 1039, No. 1, p. 012020). I...
- 6.• Gadd, C., Xing, W., Nezhad, M. M., & Shah, A. A. (2019). A surrogate modelling approach based on nonlinear dimension reduction for uncertainty quantification in groundwater flow models. Transport in porous media, 126(1), 39-77. （中科院分区Q2，JCR Q2）
Research Group
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