蒋梦婉，女，1988.10，博士，毕业于郑州大学，生物信息学专业。主要从事多组学数据分析、中医药大数据分析、基于机器学习的蛋白质结构预测和生物图谱分析等方向研究，发表学术论文10余篇，其中SCI检索12篇，主持省部级以上项目2项，参与多项。

联系邮箱：jiangmw@haut.edu.cn

招生学科：计算机科学技术、电子信息、智能科学与技术。

一、代表性论文与论著

1. 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.

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, 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.

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

5. Chenyue Li; Yanli Qi; Zhongke Sun; Mengwan Jiang; Chengwei Li ; Way to efficient microbial paclitaxel mass production, Synthetic and Systems Biotechnology, 2023, 8(4): 673-681.

6. Kedong Yin; Wen Xu; Shiming Ren; Qingpeng Xu; Shaojie Zhang; Ruiling Zhang; Mengwan Jiang; Yuhong Zhang; Degang Xu; Ruifang Li ; Machine Learning Accelerates De Novo Design of Antimicrobial Peptides, Interdisciplinary Sciences-Computational Life Sciences, 2024.

7. Qianqian Dong; Zishi Wang; Mengwan Jiang; 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(9): 1-14.

8. Hong Sun; Chuyi Li; Yifeng Zhang; Mengwan Jiang; Qianqian Dong; Zhenlong Wang. Light-resetting impact on behavior and the central circadian clock in two vole species (genus: Lasiopodomys), Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology, 2020, 248-249: 110478.

二、主持或参加科研/教研项目（课题）

1. 河南省科技研发计划联合基金项目： 小麦 Ferritin 蛋白特征分析及其在提升馒头微量元素含量方面的应用研究，主持。

2. 河南省博士后项目：基于多组学解析内生菌Q2合成紫杉醇的生物途径，主持。