杨倩

发布者:周春宇发布时间:2023-02-22浏览次数:2262


姓名

杨倩

职称

讲师

主要研究领域

含有小参数的微分方程与动力系统中的理论及方法

电子邮箱

qyang@usst.edu.cn

办公室

开云·电竞(中国)官方网站905

所在部门

开云·电竞(中国)官方网站数学系


教育背景与工作经历

教育背景

博士,应用数学,华东师范大学,2018-2022

硕士,概率论与数理统计,山西师范大学,2014-2017

学士,数学与应用数学,华东师范大学,2009-2013


工作经历

讲师,上海理工大学,2022-至今

助教,山西师范大学,2013-2018


科(教)研项目及成果

作为主要成员参研国家自然科学基金面上项目、青年基金和上海市科委基金项目各1项。在国内外学术刊物上发表论文10多篇。


  1. Q. Yang and M. K. Ni. Asymptotics of the solution to a stationary piecewise-smooth reaction-diffusion equation with a multiple root of the degenerate equation, Science China Mathematics, 2022, 65(2), 291-308.


  1. Q. Yang and M. K. Ni. Asymptotics of the solution to a stationary piecewise-smooth reaction-diffusion-advection equation, Chinese Annals of Mathematics, Series B, 2023, 44(1): 81-98.

  2. Q. Yang and M. K. Ni. Multizonal internal layers in the singularly perturbed equation with a discontinuous right-hand side, Computational Mathematics and Mathematical Physics, 2021, 61(6), 953-963.

  3. Q. Yang and M. K. Ni. Asymptotics of the solution to a piecewise-smooth quasilinear second-order differential equation, Journal of Applied Analysis and Computation, 2022, 12(1), 256-269.

  4. Q. Yang and M. K. Ni. Multizonal boundary and internal layers in the singularly perturbed problems for a stationary equation of reaction-advection-diffusion type with weak and discontinuous nonlinearity, Computational Mathematics and Mathematical Physics, 2022, 62(12), 2123-2138.

  5. Q. Yang and M. K. Ni. Asymptotics of the solution to a stationary piecewise-smooth reaction-diffusion equation with a triple root of the degenerate solution, Journal of Applied Analysis and Computation, 2022, 12(6), 1-17.

  6. Q. Yang and M. K. Ni. Asymptotics of a class of singularly perturbed weak nonlin- ear boundary value problem with double root of the degenerate equation, Journal of Nonlinear Modeling and Analysis, 2022, 4(3), 510-521.


  1. J. H. Shi, Q. Yang, X. Y. Li, and W. X. Song. Effects of measurement error on a class of single-index varying coefficient regression models, Computational Statistics, 2017, 32, 977–1001.


主讲课程

高等数学;线性代数


学术活动与社会服务



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