职称：副教授
邮箱：zhni@tju.edu.cn
研究方向：
地址：天津大学17教学楼226
1. 生物信息学
2. 生物医学工程
论文
1. Zhengshan Huang, Yu Guo, Ning Zhang, Xian Huang, Pierre Decazes, Stephanie Becker, Su Ruan. Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images. Computers in Biology and Medicine, 2022, 151(Pt A):106230.
2. Yameng Wu#, Yu Guo#, Jun Ma, Yu Sa, Qifeng Li, Ning Zhang*. Research Progress of Gliomas in Machine Learning. Cells, 2021, 10(11):3169.
3. Ya Meng Wu, Yu Sa, Yu Guo, Qi Feng Li1, Ning Zhang*. Identification of WHO II/III gliomas by 16 prognostic-related gene signatures using machine learning methods. Current Medicinal Chemistry, 2022, 29, 1622-1639.
4. Jianlong Wang, Xuyi Chen, Haijuan Hu, Mengting Yao, Yanbiao Song, Aimin Yang, Xiuhua Xu, Ning Zhang, Jianzhao Gao, and Bin Liu. PCAT-1 facilitates breast cancer progression via binding to RACK1 and enhancing oxygen-independent stability of HIF-1a. Molecular Therapy Nucleic Acids. 2021, 24(4) : 310-324.
5. Yan-Mei Dong, Ming Li, Qi-En He, Yi-Fan Tong, Hong-Zhi Gao, Yi-Zhi Zhang, Ya-Meng Wu, Jun Hu, Ning Zhang*, Kai Song*. Epigenome-Wide Tobacco-Related Methylation Signature Identification and Their Multilevel Regulatory Network Inference for Lung Adenocarcinoma. BioMed Research International, 2020, Volume 2020, 2471915, 12 pages.
6. Ming Li, Yu Guo, Yuan-Ming Feng, Ning Zhang*. Identification of Triple-Negative Breast Cancer Genes and a Novel High-Risk Breast Cancer Prediction Model Development Based on PPI Data and Support Vector Machines. Frontiers in Genetics, 2019, 10: 180.
7. Ming Li, Ping Wang*, Ning Zhang (Co-First Author)*, Lu Guo, Yuan-Ming Feng. Identification of genes of four malignant tumors and a novel prediction model development based on PPI data and support vector machines. Cancer Gene Therapy, 2019.
8. Cheng-Wen Yang, Huan-Huan Cao, Yu Guo, Yuan-Ming Feng, Ning Zhang*. Identification of Novel Breast Cancer Genes based on Gene Expression Profiles and PPI Data. Current Proteomics, 2019, 16(5): 415-426.
9. JingWen Feng, Ping Wang, Ning Zhang, Yu Sa. A machine learning based stain-free method for classification of cell apoptosis stages. RADIOTHERAPY AND ONCOLOGY (In: 38th Annual Meeting of the European Society for Radiotherapy and Oncology (ESTRO)). 2019, 133: S1028-S1029.
10. Yiyi Wang, Qi Wu, Wei Zhan, Ning Zhang*. Tuberculosis and HIV Coinfection–the Challenge in the Prevention, Detection and Treatment of Tuberculosis. Current Bioinformatics, 2019, 14, 91-99.
11. Lu Guo, Ping Wang, Ranran Sun, Chengwen Yang, Ning Zhang, Yu Guo, Yuanming Feng*. A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy. Scientific Reports, 2018, 8(1): 3231.
12. Ning Zhang, Yu Sa, Yu Guo, Wang Lin, Ping Wang, Yuanming Feng*. Discriminating Ramos and Jurkat Cells with Image Textures from Diffraction Imaging Flow Cytometry Based on a Support Vector Machine. Current Bioinformatics, 2018, 13(1): 50-56.
13. ShaoPeng Wang, Yu-Hang Zhang, Ning Zhang, Lei Chen*, Tao Huang*, Yu-Dong Cai*. Recognizing and predicting thioether bridges formed by lanthionine and β-methyllanthionine in lantibiotics using a random forest approach with feature selection. Comb Chem High Throughput Screen, 2017 , 20(7): 582-593.
14. HuanHuan Cao, YuHang Zhang, Jia Zhao, LiuCun Zhu, Yi Wang, JiaRui Li*, YuanMing Feng*, Ning Zhang*. Prediction of the Ebola virus infection related human genes using protein-protein interaction network. Comb Chem High Throughput Screen, 2017, 20(7):638-646.
15. JianZhao Gao, XueWen Tao, Jia Zhao, YuanMing Feng*, YuDong Cai*, Ning Zhang*. Computational prediction of protein epsilon lysine acetylation sites based on a feature selection method. Comb Chem High Throughput Screen, 2017, 20(7):629-637.
16. Guohua Huang, Chen Chu, Tao Huang, Xiangyin Kong, Yunhua Zhang, Ning Zhang*, Yu-Dong Cai*. Exploring Mouse Protein Function via Multiple Approaches. PLoS ONE, 2016, 11(11): e0166580
17. Ning Zhang, Meng Wang, Peiwei Zhang, Tao Huang*. Classification of cancers based on copy number variation landscapes. Biochim Biophys Acta, 2016, 1860(11 Pt B): 2750-2755.
18. You Zhou, Tao Huang, Guohua Huang, Ning Zhang*, XiangYin Kong*, Yu-Dong Cai*. Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method. Neurocomputing, 2016, 217: 53-62
19. Pei-Wei Zhang, Lei Chen, Tao Huang*, Ning Zhang*, Xiang-Yin Kong*, Yu-Dong Cai*. Classifying Ten Types of Major Cancers Based on Reverse Phase Protein Array Profiles. PLOS ONE, 2015, 10(3): e0123147.Pei-Wei Zhang, Lei Chen, Tao Huang*, Ning Zhang*, Xiang-Yin Kong*, Yu-Dong Cai*. Classifying Ten Types of Major Cancers Based on Reverse Phase Protein Array Profiles. PLOS ONE, 2015, 30;10(3):e0123147
20. You Zhou, Ning Zhang (并列第一), Bi-Qing Li, Tao Huang*, Yu-Dong Cai*, Xiang-Yin Kong*. A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis. Journal of Biomolecular Structure and Dynamics, 2015, 33(11): 2479-90
21. Chunmei Yang*, Ning Zhang, Yu Guo and Yuanming Feng*. Modeling Intracellular Ca2+ Transient Induced by Low-Intensity Ultrasound. Current Bioinformatics, 2015, 10, 79-84
22. Ning Zhang, Shan Gao, Guangyou Duan, Yuanming Feng*, Jishou Ruan*, Tao Zhang*. SRD: A Universal Software Tool for DNA/Protein Sequence Relationship Visualization Based on Undirected Graphs. Current Bioinformatics, 2015, 10, 69-78
23. Yang Shu, Ning Zhang（并列第一）, Xiangyin Kong, Tao Huang, Yu-Dong Cai. Predicting A-to-I RNA Editing by Feature Selection and Random Forest. PLoS ONE, 2014, 9(10): e110607. （SCI收录，影响因子：4.285，2区）
24. Ning Zhang, Tao Huang, Yu-Dong Cai. Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties. Molecular Genetics and Genomics, 2014, DOI 10.1007/s00438-014-0922-5. （SCI收录，影响因子：2.881，3区）
25. Ning Zhang, You Zhou, Tao Huang, Yu-Chao Zhang, Bi-Qing Li, Lei Chen, Yu-Dong Cai*. Discriminating between Lysine Sumoylation and Lysine Acetylation Using mRMR Feature Selection and Analysis. PLoS ONE, 2014, 9(9): e107464. （SCI收录，影响因子：4.285，2区）
26. Ning Zhang, Min Jiang, Tao Huang*, Yu-Dong Cai*. Identification of Influenza A/H7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International (formerly titled Journal of Biomedicine and Biotechnology). 2014, Volume 2014, Article ID 239462（SCI收录，影响因子： 2.880，4区）
27. Jianzhao Gao, Ning Zhang(并列第一), Jishou Ruan*. Prediction of protein modification sites of gamma-carboxylation using position specific scoring matrices based evolutionary information. Computational Biology and Chemistry, 2013, 47C:215-220（SCI收录，影响因子：1.551，4区）
28. Ning Zhang, Shan Gao, Lei Zhang, Tao Zhang*, Jishou Ruan*. Statistical Analysis of Terminal Extensions of Protein β-strand Pairs. Advances in Bioinformatics, 2013, Volume 2013: 909436. Article ID 909436
29. Ning Zhang, Shan Gao, Lei Chen, Jishou Ruan*. Using multitask learning methods to investigate signal peptides and signal anchors. Current Bioinformatics, 2013, 8(5): 533-538（SCI收录，影响因子：1.187，4区）
30. Ning Zhang, Bi-Qing Li, Shan Gao, Ji-Shou Ruan and Yu-Dong Cai. Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method. Mol. BioSyst., 2012, 8: 2946–2955 （SCI收录，影响因子：3.534，2区）
31. Ning Zhang, Yuanming Feng, Shan Gao, Jishou Ruan, Tao Zhang. New Insights Regarding Protein Folding As Learned From Beta-Sheets. EXCLI Journal 2012;11:543-555 （SCI收录，影响因子：1.061，4区）
32. Ning Zhang, Yutao Tian,Lei Zhang,Zhuo Yang, Jishou Ruan, Tao Zhang*. Desktop Software for Patch-Clamp Raw Binary Data Conversion and Preprocessing. Journal of Electrical and Computer Engineering, 2011. doi:10.1155/2011/251215
33. 高山, 张宁(并列第一), 张磊, 段广有, 张涛. 人类变异组计划及其进展. 遗传，2010, 32(11): 1105―1113. （中文核心期刊）
34. Ning Zhang, Guangyou Duan, Shan Gao, Jishou Ruan, Tao Zhang. Prediction of the parallel/ antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines. Journal of Theoretical Biology, 2010: 263(3): 360-368. （SCI收录，影响因子：2.454，3区）
35. Ning Zhang, Jishou Ruan, Guangyou Duan, Shan Gao, Tao Zhang. The interstrand amino acid pairs play a significant role in determining the parallel or antiparallel orientation of b-strands. Biochemical and Biophysical Research Communications, 2009, 386: 537-543. （SCI收录，影响因子：2.648，3区）
36. Ning Zhang, Shan Gao, Guang-You Duan, Zhuo Yang, Tao Zhang. StrandPairsViewer: a toolkit for visualization and analysis of amino acids pairs in protein sheet structures. In: Bioinformatics and Biomedical Engineering, 2009. ICBBE 2009. doi: 10.1109/ICBBE.2009. 5163427 （EI收录，收录号：20095312597469）
37. 张宁, 杨卓，张涛. VB中增强滚动条控件类模块的实现. 计算机工程与设计. 2009,30(13):3167-3170（中文核心期刊）
38. Ning Zhang, Jishou Ruan, Jie Wu, Tao Zhang. Sheetspair: A database of amino acid pairs in protein sheet structures. Data Science Journal, 2007, 6(15): S589-S595 （EI收录，收录号：20074210868705）
39. 张宁,杨卓,张涛. VB程序通用指示处理进度窗体的设计与实现，计算机工程与设计. 2007，28(23): 5752-5777（中文核心期刊）
40. 张宁, 张涛. 蛋白质二级结构预测样本集数据库的设计与实现. 生物信息学, 2006, 4(4): 163-166
41. 张宁, 吴捷, 杨卓, 张涛. 基于SQL Server 的脑电数据库的构建. 高技术通讯, 2006, 16(12):1289-1293. （中文核心期刊，EI收录，收录号：20070610416136）
42. 张宁, 吴捷, 宋卓, 张涛. 基于SQL Server的蛋白质二级结构预测样本集数据库的构建. 高技术通讯, 2006, 16(6): 619-623. （中文核心期刊，EI收录，收录号：2006289997305）
43. 张宁，阮吉寿，张涛. 蛋白质Sheet结构的氨基酸配对的统计分析. 生物物理学报，2006, 22（增刊）：385（中文核心期刊）
44. Guohua Huang, Yuchao Zhang, Lei Chen*, Ning Zhang*, Tao Huang*, Yu-Dong Cai*. Prediction of Multi-Type Membrane Proteins in Human by an Integrated Approach. PLoS ONE, 2014, 9(3): e93553. （SCI收录，影响因子：4.285，2区）
45. Lei Chen, Jing Lu, Ning Zhang*, Tao Huang*, Yu-Dong Cai*. A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes. Molecular BioSystems, 2014, DOI: 10.1039/c3mb70490d（SCI收录，影响因子：3.739，3区）
46. Bi-Qing Li, Yu-Chao Zhang, Guo-Hua Huang, Wei-Ren Cui, Ning Zhang*, Yu-Dong Cai*. Prediction of Aptamer-Target Interacting Pairs with Pseudo-Amino Acid Composition. PLoS ONE, 2014, 9(1): e86729.（SCI收录，影响因子：4.285，2区）
47. Min Jiang, Yukang Chen, Yuchao Zhang, Lei Chen, Ning Zhang*, Tao Huang*, Yu-Dong Cai*, XiangYin Kong*. Identification of hepatocellular carcinoma related genes with k-th shortest paths in a protein–protein interaction network. Molecular BioSystems, 2013, 9(11):2720-8. doi: 10.1039/c3mb70089e. （SCI收录，影响因子：3.739，3区）
48. Guohua Huang, You Zhou, Yuchao Zhang, Bi-Qing Li, Ning Zhang*, Yu-Dong Cai*. Prediction of carbamylated lysine sites based on the one-class k-nearest neighbor method. Molecular BioSystems, 2013, 2013 Oct 1;9(11):2729-40. DOI: 10.1039/c3mb70195f （SCI收录，影响因子：3.739，3区）
49. Weiren Cui, Shen Niu, Lulu Zheng, Lele Hu, Tao Huang, Lei Gu, Kaiyan Feng, Ning Zhang*, Yudong Cai, Yixue Li. Prediction of protein amidation sites by feature selection and analysis. Molecular Genetics and Genomics, June 2013, 288(9):391-400. DOI 10.1007/s00438-013-0760-x （SCI收录，影响因子：2.556，3区）
50. Yang Jiang, Bi-Qing Li, Yuchao Zhang, Yuan-Ming Feng, Yu-Fei Gao*, Ning Zhang*, Yu-Dong Cai*. Prediction and analysis of post-translational pyruvoyl residue modification sites from internal serines in proteins. PLoS ONE, 2013, 8(6): e66678. doi:10.1371/journal.pone.0066678 （SCI收录，影响因子：4.285，2区）
51. Yuanming Feng, Ning Zhang, Kenneth M. Jacobs, Wenhuan Jiang, Li V. Yang, Zhigang Li, Jun Zhang, Jun Q. Lu, Xin-Hua Hu. Polarization Imaging and Classification of Jurkat T and Ramos B Cells Using a Flow Cytometer. CYTOMETRY PART A, 2014, 85, 817-826. （SCI收录，影响因子：3.711，3区）
52. Guohua Huang, Lin Lu, Kaiyan Feng, Jun Zhao, Yuchao Zhang, Yaochen Xu, Ning Zhang, Bi-Qing Li, Weiping Huang, Yu-Dong Cai. Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm. BioMed Research International (formerly titled Journal of Biomedicine and Biotechnology), 2014, Volume 2014, Article ID 438341, 10 pages （SCI收录，影响因子：2.880，4区）
53. Yu Guo, Yuanming Feng, Jian Sun, Ning Zhang, Wang Lin, Yu Sa, Ping Wang. Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model. Computational and Mathematical Methods in Medicine, 2014, Volume 2014, Article ID 401201, 6 pages （SCI收录，影响因子：0.791，4区）
54. BiQing Li, Tao Huang, Jian Zhang, Ning Zhang, Guohua Huang, Lei Liu, YuDong Cai*. An ensemble prognostic model for colorectal cancer. PLoS One. 2013, 8(5):e63494. doi: 10.1371/journal.pone.0063494. （SCI收录，影响因子：4.285，2区）
55. Jun Zhang, Yuan-Ming Feng, Marina S Moran, Jun Q. Lu, Li V. Yang, Yu Sa, Ning Zhang, Lixue Dong, Xin-Hua Hu*. Analysis of cellular objects through diffraction images acquired by flow cytometry. Opt Express. 2013, 21(21): 24819-28. doi: 10.1364/OE.21.024819. （ SCI收录，影响因子：3.539，2区）
56. Bi-Qing Li, Jin You, Lei Chen, Jian Zhang, Ning Zhang, Hai-Peng Li, Tao Huang, Xiang-Yin Kong, Yu-Dong Cai. Identification of Lung-Cancer-Related Genes with the Shortest Path Approach in a Protein-Protein Interaction Network. BioMed Research International(formerly titled Journal of Biomedicine and Biotechnology), 2013, Volume 2013: 267375. doi: 10.1155/2013/267375. Article ID 267375, 8 pages （SCI收录，影响因子：1.805，4区）
57. Tong-Hui Zhao, Min Jiang, Tao Huang, Bi-Qing Li, Ning Zhang, Hai-Peng Li, Yu-Dong Cai*. A Novel Method of Predicting Protein Disordered Regions Based on Sequence Features. BioMed Research International(formerly titled Journal of Biomedicine and Biotechnology). 2013，Volume 2013: 414327. Article ID 414327（SCI收录，影响因子：1.805，4区）
58. Weiren Cui, Lei Chen, Tao Huang, Qian Gao, Min Jiang, Ning Zhang, Lulu Zheng, Kaiyan Feng, Yudong Cai* , Hongwei Wang*. Computationally identifying virulence factors based on KEGG pathways. Molecular BioSystems, 2013, 9(6):1447-52. doi: 10.1039/c3mb70024k. DOI: 10.1039/c3mb70024k（SCI收录，影响因子：3.739，3区）
59. Yaping Fang, Huixin Liu, Ning Zhang, Grace L. Guo, Yu-Jui Yvonne Wan, and Jianwen Fang. NURBS: A Database of Experimental and Predicted Nuclear Receptor Binding Sites of Mouse. Bioinformatics. 2013, 29(2): 295-297. （SCI收录，影响因子：4.877，2区）
60. 李崇崇，王平，郭玙，邓军，张宁，冯远明. 一种量化分析放射生物响应的新型数学模型. 航天医学与医学工程，2013, 26(1): 51-55（中文核心期刊）
61. 高山，张宁，李勃，徐硕，叶彦波，阮吉寿.下一代测序中ChIP-seq数据的处理与分析. 遗传, 2012, 34(6): 773―783（中文核心期刊）
62. Lei Zhang, Ning Zhang, Ji-Shou Ruan, Tao Zhang*. Studies on the rules of b-strand alignment in a protein b-sheet structure. Journal of Theoretical Biology. 2011,285:69-76 （SCI收录，影响因子：2.371，3区）
63. Shan Gao, Ning Zhang, GuangYou Duan, Zhuo Yang, JiShou Ruan, Tao Zhang. Prediction of Function Changes Associated With Single-Point Protein Mutations Using Support Vector Machines(SVMs). Human Mutation, 2009, 30(8):1161-1166 （SCI收录，影响因子：7.033，1区）
64. Shan Gao, Ning Zhang, GuangYou Duan, Tao Zhang. Identifying non-neutral amino acid substitutions by SVMs. 生物物理学报，2009，25（增刊）：17（中文核心期刊）
65. Guang-You Duan, Shan Gao, Ning Zhang, Zhuo Yang, Tao Zhang. Component vector method and its application in detecting similarities between sequences. Bioinformatics and Biomedical Engineering, 2009. In: ICBBE 2009. doi: 10.1109/ICBBE.2009.5162547 （EI收录，EI收录号：20095312596626）
66. QingHong Yan, Ning Zhang, Jie Wu, Tao Zhang*. ERPDB: An integrated database of ERP data for neuroinformatics research. Data Science Journal, 2007, 6(S13): S743-S748 （EI收录，收录号：20074710939724）
67. 吴捷，张宁，杨卓，张涛. 小波相干分析及其在听觉与震动刺激事件相关诱发脑电处理中的应用. 生物物理学报，2007，23(6)：482-487（中文核心期刊）
68. 宋卓，张宁，阮吉寿，杨卓，张涛. 基于氨基酸序列预测蛋白质功能性点突变位点，生物物理学报，2007, 23(2): 134-138（中文核心期刊）
69. Zhuo Song, Ning Zhang, Zhuo Yang, Tao Zhang. Prediction of helix, strand segments from primary protein sequences by a set of neural networks, Lecture Notes in Computer Science, 2007, 4492:1248-1253. （EI收录，收录号：20075210988868）
专著
[1] 张宁. 老兵新传：Visual Basic核心编程及通用模块开发. 北京：清华大学出版社，ISBN:9787302283102，2012 (1,350千字)
[2] 张宁. C语言其实很简单. 北京：清华大学出版社，ISBN:9787302397519，2015 (631千字)
[3] 张宁. 玩转Office轻松过二级(第3版). 北京：清华大学出版社, ISBN: 9787302516675，2019 (764千字)
[4] 张宁. 玩转Office轻松过二级(第2版). 北京：清华大学出版社，ISBN: 9787302446156，2016 (575千字)
[5] 刘前, 张宁. C++程序设计实践与案例教程. 北京：清华大学出版社，ISBN:9787302441281，2016 (负责8-9章，占全书1/3篇幅，200千字)
[6] 刘前, 张宁. C++程序设计实践与案例教程习题解析与实验指导. 北京：清华大学出版社，ISBN:9787302441274，2016 (负责8-9章，占全书1/3篇幅，200千字)
[7] 张宁. 玩转Office轻松过二级. 北京：清华大学出版社，ISBN:9787302409090，2016 (575千字)
[8] 杨文博，李明春. 微生物学. 北京：高等教育出版社，ISBN:9787040299762，2010 (负责电子版课件部分)
[9] 张宁. C语言程序设计. 北京：人民邮电出版社，2024（即将出版）
[10] 余辉，马翔云，李娇，郭玙，李奇峰，张宁. 大数据挖掘技术理论与实践--以生物医学案例为例，北京：清华大学出版社，2024（即将出版）
科研项目：
1. 天津市应用基础研究联合项目（面上项目），2021.4—2024.9，基于多组学和大数据挖掘的胶质母细胞
瘤患者个性化治疗策略研究及康复预测模型构建(21JCYBJC00630)，项目负责人
2. 天津大学附属医院医工结合基金项目，2022.10—2024.9 儿童医院：MAPK/ERK信号通路激活对合并型
丙二酸血症中神经发育的影响，22JCQNJC01020，项目负责人
3. 国家自然科学基金（青年项目），2015.01—2017.12，基于蛋白质空间结构的乙酰化位点两步预测新方
法研究（61401302），项目负责人
4. 天津市应用基础与前沿技术研究计划（青年项目），2014.04—2017.03 ，乙酰化位点的生物信息学分析
和理论计算新模型研究（14JCQNJC09500 ），项目负责人
5. 高等学校博士学科点专项科研基金（新教师类），2014.01—2016.12，蛋白质赖氨酸乙酰化翻译后修饰
位点的理论计算新模型研究（20130032120070 ），项目负责人
6. 天津大学自主创新基金，2022.01—2022.12，食品中痕量挥发物快速检测技术和标准方法研究
（2022XJS-0118），项目负责人
7. 天津大学自主创新基金攻坚预研（重大科研项目），2020.01—2020.12，基于多组学和生物信息学的新
冠肺炎病毒致病的分子机制研究和特异性基因发现，项目负责人
8. 天津大学自主创新基金，2013.01—2014.12，蛋白质乙酰化位点的生物信息学分析和理论预测新模型研
究（60302069 ），项目负责人
9. 天津医科大学总医院委托横向项目，2015.07—2018.07，基于生物信息学方法的吉兰巴雷综合征患者
lncRnA的表达差异分析（2015GFW-0172），项目负责人
教改项目：
1. 天津大学2021年本科教材建设项目，新工科新形态教学资源项目《生物医学大数据》教材，项目负责人
2. 天津大学第一批新工科通识课程（重点项目），生物医学大数据挖掘技术，2019.6—2020.5，项目负责人
3. 2020年天津大学通识选修课重点建设立项，生物医学大数据挖掘技术，2019.10—2020.11，项目负责人
4. 天津大学本科教学改革国家试点学院专项，2014.05—2016.05，非计算机专业C++程序设计课程趣味性教
学模式的探索与实践（B类），项目负责人
软件著作权
已申请/转让软件著作权13项：
1. 软著登字第2019sr1408343号、
2. 软著登字第2011srbj4313号、
3. 软著登字第2011srbj4311号、
4. 软著登字第2011srbj4312号、
5. 软著登字第2011srbj4314号、
6. 软著登字第2012SR085491号、
7. 软著登字第2015R11S200557号、
8. 软著登字第2015R11S200558号、
9. 软著登字第2015R11S200559号、
10. 软著登字第2015R11S200560号、
11. 软著登字第2015R11S200561号、
12. 软著登字第2015R11S200562号、
13. 软著登字第0453527号
1. 2022/10，天津市第二十六届师生信息素养提升实践活动（教师部分），本科课程《软件技术基础及应用》（C++程序设计）PPT课件，市级创新作品（天津大学唯一推选获奖作品）
2. 2021/09 天津市第十六届高校青年教师教学竞赛校选拔赛，工科组一等奖
3. 2016/06 首届超星杯卓越大学联盟高校青年教师教学能力大赛三等奖
4. 2015/05 英国皇家化学会评定“Top 1%”高被引中国作者
5. 2014/09 天津大学第十届青年教师讲课大赛一等奖
6. 2014/05 天津大学精仪学院青年教师讲课大赛一等奖
1. SCI收录二区源期刊《Current Medicinal Chemistry》常任编委；
2. SCI收录源期刊《Computational and Mathematical Methods in Medicine》特刊客座编委（Special Issue on Novel Computational Methods and Tools in Biomedicine and Biopharmacy，http://www.hindawi.com/journals/cmmm/si/693645/cfp/）
3. 多个高水平SCI期刊（包含1区期刊《Expert Systems With Applications》，及多个2区期刊）的审稿专家；
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