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蒋梦婉
发布日期:2020-06-29 浏览次数:

蒋梦婉,女,1988.10月生,博士,讲师。

电子邮箱:jiangmw@haut.edu.cn.

研究方向:深度学习、机器学习、生物信息.

教育经历:

2007.09-2011.07,江南大学,电子通信与工程专业,学士;

2011.09-2014.07,郑州大学,电路与系统,硕士;

2016.09-2020.08,郑州大学,生物信息学,博士;

代表性教科研学术成果:

论文

1.Jiang Mengwan, Shi Luye, Li Xiujuan, et al. Genome-wide adaptive evolution to subterranean stresses in subterranean mammals: hypoxia adaption, immunity promotion, and sensory specialization. Ecology And Evolution, 2020, 10(14):7377-7388.

2.Jiang Mengwan, Li Haoliang. Vehicle classification based on hierarchical support vector machine (SVM)Lecture Notes in Electrical Engineering, 2014:593-600.

3.Shi Luye, Jiang Mengwan, Li Mengyang, et al. Regulation of HIF-1αand p53 in stress responses in the subterranean rodents Lasiopodomys mandarinus and Lasiopodomys brandtii (Rodentia: Cricetidae). Zoologia (Curitiba), 2021, 38:1-11.

4.Yan Wu; Mengwan Jiang; Gang Li, et al. Systematic Performance Analysis of Hybrid FSO/RF System over Generalized Fading Channels with Pointing Errors. Photonics, 2022, 9(11): 873

项目:

1.蒋梦婉,基于多组学解析内生菌Q2合成紫杉醇的生物途径,河南省博士后科研资助,2022.06-2024.05