姓名：陈爱敏

职称：副教授

办公室：英国威廉希尔公司附一楼

邮箱： chenaimin@henu.edu.cn

陈爱敏，中山大学数学学院获得理学博士学位，目前主要从事计算系统生物学、生物统计以及生物信息等与生命科学问题相关的数学、非线性控制以及网络科学方面的研究，已发表SCI论文十余篇。

代表性学术论文：

[1] A.M. Chen, Q.W. Ren, T.S. Zhou, P. Burrage, T.H. Tian, K. Burrage. Balanced implicit Patankar–Euler methods for positive solutions of stochastic differential equations of biological regulatory systems. Journal of Chemical Physics, 2024 160, 064117.

[2] A.M. Chen, T.S. Zhou, P. Burrage, T.H. Tian, K. Burrage. Composite Patankar-Euler methods for positive simulations of stochastic differential equation models for biological regulatory systems. Journal of Chemical Physics, 2023, 159, 024104.

[3] A.M. Chen, T.S. Zhou and T.H. Tian, Computer simulation of nonlinear mixed-effect models with ordinary differential equations for genetic regulation, The 15th International Conference on Computer Modeling and Simulation (ICCMS), 2023, June 16–18.

[4] A.M. Chen, T.H. Tian, Y.R. Chen, T.S. Zhou. Stochastic analysis of a complex gene-expression model, Chaos, Solitons & Fractals, 2022, 160, 112261.

[5] A.M. Chen, T.S. Zhou, T.H. Tian, Integrated pipelines for inferring gene regulatory networks from single-cell data, Current Bioinformatics, 2022, 17(7): 559-564.

[6] A.M. Chen, H.H. Qiu, T.H. Tian, T.S. Zhou, Generalized fluctuation-dissipation theorem for non-Markovian reaction networks, Physical Review E, 2022, 105, 064409.

[7] A.M. Chen, T.S. Zhou, T.H. Tian, Balance of positive and negative regulation for trade-off between efficiency and resilience of high-dimenssonal networks, Physica A: Statistical Mechanics & Its Applications, 2022, 603, 127879.