吴祖剑
吴祖剑,布鲁内尔大学信息系统与计算学博士,曾任暨南大学信息科学技术学院讲师、阿伯丁大学研究员,现任暨伯学院讲师。
邮件: zujian.wu@jnu.edu.cn
2004年获哈尔滨理工大学计算机科学与技术专业学士学位
2008年获中南大学计算机应用专业硕士学位
2013获英国布鲁内尔大学信息系统与计算研究专业博士学位
研究兴趣:1.数据挖掘、2.人工智能、3.机器学习、4.系统生物学
成果:
在英国阿伯丁大学自然与计算科学学院担任研究员期间,参与了由BBSRC,CRISP资助的项目,专注于基于系统生物学关于人工智能和优化算法的生化系统建模。
在加入暨南大学期间,参与了三个研究项目和两个教育项目,并发表了六篇论文(4篇论文被SCI索引,2篇论文被EI索引)。
教授课程:数据挖掘
教学经验:1.数据库应用程序开发、2.计算机概念、3.编程基础、4.计算机基础、5.信息技术
Z. Wu, and H. Du. A Study of Parallel and Evolutionary Framework for Modelling Biochemical Signalling Pathways. Computer and Communications (ICCC), 2016 IEEE International Conference on, Chengdu, (2016) [EI]
D. Zhang, Y. Zhang, Z. Wu, and H. Du. Rank-Constrained Beamforming for MIMO Cognitive Interference Channel. Mobile Information Systems, Volume 2016, 11 pages, Article ID 2152538. (2016) [SCI, EI]
Z. Wu, W. Pang, and G. M. Coghill. An integrated qualitative and quantitative biochemical model learning framework using evolutionary strategy and simulated annealing. Cognitive Computation, December 2015, Volume 7, Issue 6, pp 637–651, DOI:10.1007/s12559-015-9328-x. (2015) [SCI, EI]
Z. Wu, W. Pang, and G. M. Coghill. An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems. Soft Computing, 2015, 19:1595–1610, DOI 10.1007/s00500-014-1467-6. (2015)[SCI, EI]
Y. Lin, Y. Quan, Z. Wu, L. Wang, and J.Yan. A hybrid method combining genetic algorithm and Hooke-Jeeves method for 4PLRP. 2014 IEEE/CIC International Conference on Communications in China, CIC/ICCC 2014, p 36-40, May 13, 2015. (2014) [EI]
S. Rausanu, C. Grosan, Z. Wu, O. Parvu, R. Stoica, D. Gilbert. Computational models for inferring biochemical networks. Neural Computing and Applications, February 2015, Volume 26, Issue 2, pp 299-311, DOI: 10.1007/s00521-014-1617-x. (2015) (First online: 12 June 2014) [SCI, EI]