蒋梦婉，女，1988.10月生，博士，讲师。

电子邮箱：jiangmw@huat.edu.cn

研究方向：生物信息学，基因组学和转录组学，大数据处理编程处理

教育经历：

 2007.09-2011.07,江南大学,电子信息工程,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, Li Haoliang. Vehicle classification based on hierarchical support vector machine (SVM）. Lecture Notes in Electrical Engineering. 2014:593-600.

2.Shi Luye, Jiang Mengwan, Li Mengyang, Shang Xiaozhen, 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.

3.Dong Qian Qian, Wang Zishi, Jiang Mengwan, Sun Hong, et al. Transcriptome analysis of the response provided by Lasiopodomys mandarinus to severe hypoxia includes enhancing DNA repair and damage prevention. Frontiers in Zoology. 2020,17(1).

4.Dong Qian Qian, Shi Luye, Li Yangwei, Jiang Mengwan, et al. Differential responses of Lasiopodomys mandarinus and Lasiopodomys brandtii to chronic hypoxia: a cross-species brain transcriptome analysis. BMC Genmoic. 2018,19(1).

5.Jiang Mengwan, Shi Luye, Li Xiujuan, Dong Qianqian, 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.

项目：

1.丁淑敏，基于机器视觉的织物疵点检测系统研究,河南省教育厅，2016.09.

2.程涵，棉花磷酸化蛋白质组的生物信息学分析，棉花生物学国家重点实验室，2018.01-2019.12.