姓　名：吴昊

职　称：副教授

办公室：信息工程学院楼410室

电　话：029-87091546

邮　箱：haowu@nwsuaf.edu.cn

吴昊，男，1979年11月生，山东菏泽人，工学博士，副教授。

学习经历

2012年09月-2016年09月， 西安电子科技大学计算机学院 , 工学博士；

2014年07月-2015年08月，新西兰奥克兰理工大学知识工程与发现研究所，访问学者；

2003年09月-2006年07月，内蒙古大学计算机学院，工学硕士；

1999年09月-2003年07月，内蒙古大学计算机学院，工学学士。

工作经历

2017年01月-今，西北农林科技大学信息工程学院，副教授；

2006年07月-2016年12月，西北农林科技大学信息工程学院，讲师。

获奖情况

2016年度获西北农林科技大学青年教师讲课比赛二等奖，比赛现场评分第一名；

2009年度获西北农林科技大学 “优秀班主任”；

2008年度获西北农林科技大学“校级优秀教师”。

研究项目

1. 陕西省自然科学基金面上项目，基于网络模型的癌症驱动通路和失调模块检测算法研究，项目编号：2017JM6063，2017.01~2018.12 , 主持人；

2. 中央高校基本科研业务费，基于网络模型的癌症相关模式挖掘方法，项目编号：Z109021707， 2017.01~2019.12，主持人；

3. 博士科研启动经费，基于多源异构生物分子网络的致病基因预测， 项目编号：Z109021703， 2017.01~2019.12，主持人；

4. 国家高技术研究发展计划(863计划)，作物生境过程模拟与动态优化决策技术，项目编号：2013AA102904，2013.01~2017.12，主要参与人；

5. 国家自然科学基金重点项目，基于网络模型的癌症相关模式挖掘理论与方法，No.61532014, 2016.01~2020.12, 主要参与人；

6. 中央高校基本科研业务费，生物大数据相关模式挖掘理论与关键技术及应用，No. BDZ021404, 2014.01~2016.12, 主要参与人；

7. 国家自然科学基金重大研究计划-延续项目，基于非编码RNA调控网络的复杂疾病致病模式发现研究，No.91530113, 2016.01~2016.12, 主要参与人；

8. 国家自然科学基金重大研究计划项目，复杂疾病恶化过程相关理论模式发现理论与方法研究，No.91130006, 2012.01~2014.12, 主要参与人。

代表论文

近几年发表学术论文20余篇，其中SCI/EI收录6篇。

[1] Hao Wu, Lin Gao, Nikola Kasabov. Network-based method for inferring cancer progression at the pathway level from cross-sectional mutation data [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2016, 13(6): 1036-1044(SCI:000393056700005, IF=1.995, JCR=Q1, 中科院统计学与概率论2区)；

[2] Hao Wu, Lin Gao, Feng Li, et al. Identifying overlapping mutated driver pathways by constructing gene networks in cancer [J]. BMC Bioinformatics, 2015, 16 (Suppl 5), S3. (SCI:000353976000003 ,IF=2.67, JCR=Q1, 中科院数学与计算生物学2区)；

[3] Hao Wu, Lin Gao, Jihua Dong, et al. Detecting Overlapping Protein Complexes by Rough-Fuzzy Clustering in Protein-Protein Interaction Networks [J]. PLoS One, 2014, 9(3): e91856. (SCI:000333259900040, IF=3.73, JCR=Q1, 中科院综合性期刊3区)；

[4] Xiaofei Yang, Lin Gao, Xingli Guo, Hao Wu, et al. A network based method for analysis of lncRNA-disease associations and prediction of lncRNAs implicated in diseases [J]. PLoS One, 2014, 9(1): e87797 (SCI:000330621900175, IF=3.73, JCR=Q1, 中科院综合性期刊3区)；

[5] 吴昊，基于突变基因网络的致癌驱动通路检测算法[J]，计算机学报，2017, Vol.40, 在线出版号 No.18；

[6] Hao Wu, Lin Gao, Nikola Kasabov. Inference of cancer progression from somatic mutation data. IFAC-PapersOnline, 2015, 48(28): 234-238. (EI)；

[7] Hao Wu, Lin Gao, Feng Li, et al. Network-Based Method for Identifying Overlapping Mutated Driver Pathways in Cancer. The 10th International Symposium on Bioinformatics Research and Applications, 2014:379.

Name：Hao Wu

Professional Title：Associate Professor

Office：Room 410

Tel：029-87091546

Email：haowu@nwsuaf.edu.cn; haowu.cnz@gmail.com

Work Experience

Associate Professor, Computer and Information Engineering College, Northwest A&F University (211 & 985 Project University), China, September 2006–Now;

Programme design, Xi’an software centre, China, September 2010- May 2011;

Visiting Scholar, Knowledge Engineering & Discovery Research Institute, Auckland University of Technology, Auckland. July 2014 – August 2015, Co-advisor: Nikola Kasabov

Education

Doctor of Bioinformatics, Xidian University (211 Project University), September 2012 – December 2016

Master of Engineering, Inner Mongolia University (211 Project University), September 2003 – July 2006

Bachelor of Engineering, Inner Mongolia University (211 Project University), September 1999 – July 2003

Honors and Awards

(1) The excellent teacher of Northwest A & F University in 2008 and 2016.

(2) The second prize of teaching competition in Northwest A & F University in 2016.

Research Project

(1) Network-Based Methods for Mining driver pathways and dysregulated modules in cancer (Grant No. 2017JM6063), the Natural Science Basic Research Plan in Shaanxi Province of China 2017.01-2018.12. (Role: Director)

(2) The prediction of pathogenic genes based on multi-source heterogeneous biomolecular networks in cancer (Grant No. Z109021703), the Research Fund for the Doctoral Program 2017.01-2019.12. (Role: Director)

(3) Network-Based Methods for Mining Pathogenesis Patterns in Cancer (Grant No. Z109021707), the Fundamental Research Funds for the Central Universities 2017.01-2019.12. (Role: Director)

(4) Research on key technologies and algorithms of high throughput RNA-seq based on data transcription group splicing (Grant No: 61432010), the National Science Foundation of China, 2015.01-2017.12. (Role: Participant).

(5) Pattern discovery theory and method for progression process of complex disease, the National Science Foundation of China (Grant No. 91130006), 2012.01-2014.12. (Role: Participant).

(6) Biological network data analysis and mining related theories and key technologies, the National Science Foundation of China (Grant No. 60933009), 2010.01-2013.12. (Role: Participant).

(7) The research and application of data mining technology in medicine based on rough set (No: 01140409), Natural Science Foundation of Northwest A&F University, 2007.01-2009.12. (Role: Director).

Publications

(1) Hao Wu. Algorithm for detecting driver pathways in cancer based on mutated gene networks [J]. Chinese Journal of computers, 2017, Vol.40, Online publishing No 18. (Top 1 computer journal in China).

(2) Hao Wu, Lin Gao, Nikola Kasabov. Network-based method for inferring cancer progression at the pathway level from cross-sectional mutation data [J]. ACM-IEEE Transactions on Computational Biology and Bioinformatics (TCBB, SCI, IF=1.955), 2016, 13(6): 1036-1044.

(3) Hao Wu, Lin Gao, Xiaofei Yang, Feng Li, Nikola Kasabov. Identifying Overlapping Mutated Driver Pathways by Constructing Gene Networks in Cancer [J]. BMC Bioinformatics (SCI, IF=2.67), 2015, 16 (5):S3.

 (4) Hao Wu, Lin Gao, Jihua Dong, Xiaofei Yang, Feng Li. Detecting Overlapping Protein Complexes by Rough-Fuzzy Clustering in Protein-Protein Interaction Networks [J]. PloS ONE (SCI, IF=3.73), 2014, 9(3): e91856.

(5) Xiaofei Yang, Lin Gao, Xingli Guo, Hao Wu, et al. A Network Based Method for Analysis of lncRNA-Disease Associations and Prediction of lncRNAs Implicated in Diseases [J]. PloS ONE (SCI, IF=3.43), 2014, 9(1): e87797.

(6) Hao Wu, Lin Gao, Nikola Kasabov. Inference of cancer progression from somatic mutation data. The 17th IFAC Symposium on System Identification (SYSID 2015, EI), Beijing, China October 19-21, 2015.

(7) Hao Wu, Lin Gao, et al. Network-Based Method for Identifying Overlapping Mutated Driver Pathways in Cancer. Bioinformatics Research and Applications: 10th International Symposium (ISBRA 2014), Zhangjiajie, China, June 28-30, 2014: Proceedings, vol. 8492, p. 379. Springer, 2014.

Presentation

(1) Inference of cancer progression from somatic mutation data. The 17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China, October, 2015.

(2) Network-Based Method for Identifying Overlapping Mutated Driver Pathways in Cancer. Bioinformatics Research and Applications: 10th International Symposium (ISBRA 2014), Zhangjiajie, China, 2014.