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【教师】张丽超
2020-04-29 10:24   审核人:

张丽超(Lichao Zhang)

一、基本资料

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198112月生,汉族,黑龙江哈尔滨人,中共党员,副教授,理学博士应用统计专业硕士研究生导师。

Birth Date: December, 1981;

Birth Place: Harbin, PR China;

Party Member of CPC;

Doctor; Associate professor; masters supervisor.

二、教育背景与工作经历(Education and Work Experience)

20009-20047月:中国海洋大学,数学科学学院,学士

Sep.2000-Jul.2004Ocean University of China, B.Sc.

20049-20076月:中国海洋大学,数学科学学院,硕士

Sep.2004-Jul.2007Ocean University of China, M.Sc.

20077-20128月:燕山大学,教师

Jul.2007-Aug.2012Yanshan University, Lecturer

20129-20156月:中国海洋大学,海洋生命学院,博士

Sep.2012-Jul.2015Ocean University of China, D.Sc.

20157-201912:东北大学秦皇岛分校,讲师

Jul.2015-Dec.2019Northeastern University at Qinhuangdao, Lecturer

20201至今:东北大学秦皇岛分校,副教授

Jan.2020-present:   Northeastern University at Qinhuangdao, Associate professor

三、主讲课程和研究方向(Main course and research direction)

本科生课程(Undergraduate course)

统计学 贝叶斯统计 高等数学 概率论与数理统计

研究生课程(Graduate course)

    应用统计案例选讲

研究方向(Research direction)

计算生物学 模式识别

四、主要成果和荣誉(Main achievements and honors)

代表论文(Main paper)

[1] Lichao Zhang, Ying Liang, Xueting Wang, Liang Kong. i4mC-XG: A computational model for identifying DNA N4-methylcytosine Sites in the Rosaceae Genome using a novel encoding strategy. Submitted

[2] Lichao Zhang, Ying Liang, Xueting Wang, Liang Kong. A Novel Computational Model Based on Multi-source Information for Super-secondary Structure Identification of Cancer-related Protein. Submitted(Supplementary material)

[3] Lichao Zhang, Zihong Huang, Liang Kong. CSBPI_SiteMulti-Information Sources of Features to RNA Binding Sites Prediction. Current Bioinformatics, 2021, 16(5): 691-699.(SCI)

[4] Liang Kong, Lingfu Kong, Changwu Wang, Rong Jing, Lichao Zhang. Predicting protein structural class for low-similarity sequences via novel evolutionary modes of PseAAC and recursive feature elimination. Letters in Organic Chemistry, 2017,14(9):673-683.(SCI)

[5] Lichao Zhang, Liang Kong. A novel amino acid properties selection method for protein fold classification. Protein & Peptide Letters, 2020,27(4):278-294. (SCI)  

[6] Lichao Zhang*, Liang Kong. iRSpot-ADPM: Identify recombination spots by incorporating the associated dinucleotide product model into Chou's pseudo components. Journal of Theoretical Biology. 2018,441(14):1-8. (SCI20195月入选ESI高被引)

[7] Lichao Zhang*, Liang Kong. iRSpot-PDI: Identification of recombination spots by incorporating dinucleotide property diversity information into Chou's pseudo components. Genomics, 2019, 111(3): 457-464. (SCI)

[8] Lichao Zhang, Liang Kong, Xiaodong Han, Jinfeng Lv. Structural class prediction of protein using novel feature extraction method from chaos game representation of predicted secondary structure. Journal of Theoretical Biology, 400 (2016): 1-10. (SCI)

[9] Lichao Zhang, Xiqiang Zhao, Liang Kong. Predict protein structural class for low-similarity sequences by evolutionary difference information into the general form of Chou's pseudo amino acid composition. Journal of Theoretical Biology, 355 (2014): 105-110. (SCI)

[10] Lichao Zhang, Xiqiang Zhao, Liang Kong. A novel predictor for protein structural class based on integrated information of the secondary structure sequence. Biochimie, 2014, (103):131-136. (SCI)

[11] Liang Kong, Lichao Zhang*, Jinfeng Lv. Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition. Journal of Theoretical Biology, 344 (2014): 12-18. (SCI)

[12] Liang Kong, Lichao Zhang*. Novel structure-driven features for accurate prediction of protein structural class. Genomics, 2014, 103(4): 292-297. (SCI)

[13] Lichao Zhang, Xiqiang Zhao, Liang Kong. A protein structural class prediction method based on novel features. Biochimie, 2013, 95(9):1741- 1744. (SCI)

[14] Xiqiang Zhao, Shuxia Liu, Lichao Zhang. An integrative method of mining genes related to complex disease like Clear Cell Renal Cell Carcinoma with mRNA microarray data. International Journal of Applied Mathematics and Statistics, 2013,40(10): 242-258 (EI)

项目承担情况(Research projects)

[1] 国家自然科学基金青年科学基金项目1项,主持

[2]  国家项目培育种子基金项目1项,主持

[3]  东北大学秦皇岛分校校级双语课建设项目1项,主持

[4] 河北省自然科学基金青年科学基金项目1项,第一参与人

[5]  河北省教改项目1项,第二参与人

入选人才计划及奖励荣誉(Honors)

2017.7 本科生毕业论文优秀指导教师

2017.8 河北省统计科学技术进步奖(独立获奖)

2019.12 河北省三三三人才计划第三层次

2019.12 东北大学秦皇岛分校第九届教师课堂教学竞赛一等奖

2020.8 秦皇岛市高校青年教师讲课比赛理科组一等奖

2020.9 河北省青年教师讲课竞赛理科组二等奖

五、联系方式(Contact information)

电子邮箱:zhanglichaoouc@neuq.edu.cn


附件【Supplementary material.rar已下载
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