uedbet,ued西甲赫塔菲官网

袁永娜


【来源:ued西甲赫塔菲官网 | 发布日期:2020-03-17 】     【选择字号:

   名:袁永娜

政治面貌:中共党员

    称:讲师

    务:

所在系所:计算机系统结构所

    箱:yuanyn@lzu.edu.cn

办公地址:飞云楼409

 

学习经历

2001.09-2005.06,河北师范大学,化学与材料科学学院,学士

2005.09-2010.06,兰州大学,化学化工学院,博士(硕博连读),导师:张瑞生

2009.02-2012.12,英国曼彻斯特大学,化学学院,博士,导师:Paul Popelier

 

工作经历

2013.09-至今,兰州大学,信息科学与工程学院,讲师

 

教学情况

主讲本科生课程:《数据分析和可视化》,《程序设计》,《大学计算机基础》

主讲研究生课程:《软件体系结构》,《研究生专业外语》

 

指导研究生情况

2016.09-2019.06,与胡荣静副教授合作指导1名学术研究生;

2019.09-至今,与张瑞生教授合作指导1名学术研究生

 

研究方向

大数据分析,机器学习,计算化学/生物学

 

招生专业

 

项目成果

主持参与完成的项目:

国家自然基金青年基金项目1项(项目号:21503101);

留学回国人员科技活动项目1项(项目号:教外司留[2015]311号);

甘肃省自然科学基金项目1项(项目号:1506RJZA223);

中央高校基本科研业务费专项资金项目2项。

 

目前在研项目:

中央高校基本科研业务费交叉学科重点项目1项;

国家自然基金面上基金项目2项(项目号:2197607381973786)。

 

发表论文及专著

发表SCI/EI论文20余篇,近5年主要的SCI/EI论文如下:

[1] Yongna Yuan*Zhuangzhuang ZhangMatthew J.L. MillsRongjing Hu, and Ruisheng Zhang, Assessing force filed potential energy function accuracy via a multipolar description of atomic electrostatic interactions in RNA. J. Chem. Inf. Model. 2018, 58, 2239-2254.

[2] Yongna Yuan*, Matthew J.L. Mills, Zhuangzhuang Zhang, Chunyan Zhao, and Yong-Xing He, Comprehensive analysis of energy minima of molecular fragments of RNA, J. Chem. Inf. Model. (Accepted).

[3] Xiaoliang Fan, Lei Guo, Ning Han, Yujie Wang, Jia Shi, Yongna Yuan*, A deep learning approach for next location prediction. The 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, 2018.05.09-05.11.

[4] Yongna Yuan, Matthew J.L. Mills, Paul L.A. Popelier, Multipolar electrostatics for proteins: atom-atom electrostatic energies in crambin. J. Comput. Chem., 2014, 35, 343-359.

[5] Yongna Yuan, Matthew J.L. Mills, Paul L.A. Popelier, Comprehensive analysis of energy minima of the 20 natural amino acids, J. Phys. Chem. A., 2014, 118, 7876-7891.

[6] Yongna Yuan, Matthew J.L. Mills, Paul L.A. Popelier, Multipolar electrostatics based on the Kriging machine learning methods: an application to serine, J. Mol. Model., 2014, 20, 2172-2187.

[7] Ruisheng Zhang, Juan Li, Jingjing Lu, Rongjing Hu, and Yongna Yuan, Using deep learning for compound selectivity prediction, Curr. Comput.-Aid Drug, 2016, 12, 5-14.

[8] Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, and Rongjing Hu, Link prediction based on local weighted paths for complex networks, Inter. J. Modern Phys. C, 2017, 28, 1750053-75.

[9] Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, Qingshuang, Sun, Yu Qiu, and Rongjing Hu, Link prediction via layer relevance of multiplex networks, Inter. J. Modern Phys. C, 2017, 28, 1750101-24.

[10] Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, and Rongjing Hu, Link prediction in complex networks based on the interactions among paths, Physica, 2018, 510, 52-67.

[11] Xinhe Liu,Tingting Liu, Juanjuan Song, Ying Hai, Feng Luan, Haixia Zhang, Yongna Yuan, Hongyu Li, Chunyan Zhao*, Understanding the interaction of single-walled carbon nanotube (SWCNT) on estrogen receptor: A combined molecular dynamics and experimental study, Ecotoxicol Environ Saf, 2019, 172: 373-379.

[12] Yaquan Liu, Xinyue Pang, Jiarui Song, Xinhe Liu, Juanjuan Song, Yongna Yuan, Chunyan Zhao*, Exploring the membrane toxicity of decabromodiphenyl ethane (DBDPE): Based on cell membranes and lipid membranes model, hemosphere, 2019, 216: 524-532.

[13] Jiaxuan Wei, Ruisheng Zhang, Zhixuan Yu, Rongjing Hu, Jianxin Tang, Chun Gui, and Yongna Yuan, A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection. Applied Soft Computing, 2017, 58, 176-192.

[14] Huan Li, Ruisheng Zhang, Zhili, Zhao, and Yongna Yuan, An efficient influence maximization algorithm based on clique in social networks, 2019, IEEE, 141083-141093.

[15] Fan Yang, Ruisheng Zhang, Yabing Yao, Yongna Yuan, Locating the propagation source on complex networks with Propagation Centrality algorithm, Knowledge-Based Systems, 2016, 100, 112-123.

[16] Fan Yang, Ruisheng Zhang, Zhao Yang, Rongjing Hu, Mengtian Li, and Yongna Yuan, Identifying the most influential spreaders in complex networks by an Extended Local K-Shell Sum, Inter. J. Modern Phys. C, 2017, 28, 1750014-30.

[17] Ruiseng Zhang, Qidong Liu, Rongjing Hu, Huiyi Ma, and Yongna Yuan, Collaborative filtering: user similarity in slope one algorithm, J. Comput. Inform. Syst. 2014, 10, 10413-10422.

 

对外合作

1. Manchester University

2. 3M Corporate Research Analytical Laboratory, Saint Paul, Minnesota 55114, United States.

 

社会工作

2013.09 -2017.06 担任2013级本科生班主任

2018.09 -至今 担任2018级本科生班主任

 

copyright © 2015 uedbet All rights reserved