袁永娜
政治面貌中共党员
职称讲师
职务
所在系所计算机系统结构所
邮箱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：**);
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：**，**)。


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 Zhang，Matthew J.L. Mills，Rongjing 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, **-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, **-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, **-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.


荣誉获奖


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


其他信息