Chenfei Zhang Mathematics & Economics Tutor
英语语言教学中心



联系方式 办公室
Teaching Building 312

校园
University of Nottingham Ningbo China

地址
199 Taikang East Road, Ningbo, 315100, China

电话
+86 (0)574 8818 0000 (ext. 8302)

邮箱
Chenfei.Zhang@nottingham.edu.cn



学历
2019 PhD in Applied and Computational Mathematics (University of South Carolina, United States)
2014 MSc in Mathematics (University of Science and Technology of China)
2012 BSc in Mathematics and Applied Mathematics (University of Science and Technology of China)

个人简介
Chenfei Zhang is currently a preliminary year tutor in Mathematics/Economics at CELE. Prior to this position, he obtained Ph.D. degree in Mathematics at University of South Carolina in 2019 and worked as a research assistant for post-completion optional practical training in the United States. His research is mainly focusing on phase field model and the application in material science, as well as analyzing and developing numerical methods in scientific computing.
During his doctorial study, he also worked as a graduate teaching assistant and had experience in teaching and tutoring various elementary undergraduate math courses like college algebra, precalculus, applied linear algebra and calculus labs.


教学
Foundation Algebra for Physical Sciences & Engineering (tutor)
Foundation Math for Economics (tutor)


奖项 / 专利
George Johnson Fellowship in Computational Mathematics, University of South Carolina, 2018-2019.
Excellent Student Scholarship 3rd Prize, University of Science and Technology of China, 2009-2010.
Outstanding Freshmen Scholarship 1st Prize, University of Science and Technology of China, 2008-2009.


发表文章
Li, L. Ju, C. Zhang and Q. Peng, Unconditionally Energy Stable Linear Schemes for the Diffuse Interface Model with Peng-Robinson Equation of State, Journal of Scientific Computing, 75 (2018), pp. 993-1015.
Zhang, H. Li, X. Zhang and L. Ju, Linear and Unconditionally Energy Stable Schemes for the Multi-Component Two-Phase Diffuse Interface Model with Peng-Robinson Equation of State, Communications in Computational Physics, 26 (2019), pp. 1071-1097.