苏鹏简历
1)基本情况
姓名：苏鹏 性别：男 生日：1975/2/1 民族：汉 婚否：是 籍贯：济南市
职称：副教授 手机：** 邮箱：peng_su@139.com
研究方向：大数据、数据挖掘
2)受教育经历
2008/09-2011/07，中国科学院，自动化研究所，博士
2001/09-2004/07，山东大学，计算机科学与技术学院，硕士
1993/09-1997/07，山东工业大学，计算机系，学士
3)工作经历
1997/08-2011/07，山东省科技情报研究院资源建设中心，副主任
2011/07-2014/01，中科院自动化所互联网大数据与情报安全信息学研究中心
山东省分中心， 主任
2014/01-今，大理大学数学与计算机学院计信教研室
4)科研项目
主持国家自然科学基金地区基金项目：可操作行为规则挖掘的建模与算法研究，批准号：**，资助期限：2015年1月至2018年12月，资助金额：34万。
主持云南省教育厅科学研究基金重点项目：行动规则挖掘的建模与算法研究，批准号：2014Z137，资助期限：2014年7月至2016年6月，资助金额：2万。
主持复杂系统管理与控制国家重点实验室开放式课题：基于垂直元搜索的互联网信息采集系统，批准号：**，资助期限：2011年6月至2012年3月，资助金额：2万。
主持国家海关总署金关工程特种决策支持项目 （20万）
主持亚利桑那大学人工智能实验室合作课题：医疗社交平台（18.8万）
主持济南市信息产业发展计划项目：面向方面的柔性工作流管理平台（2.8万）
主持济南市历城区科技发展计划项目：网络舆情监控系统（5万）
参与国家自然科学基金委"非常规突发事件应急管理研究"重大研究计划：社会网络结构演化及其对非常规突发事件处置策略的影响规律，批准号：**，资助期限：2010年1月至2012年12月。
参与国家自然科学基金委重大项目：新兴电子商务复杂性、安全性与社会实验平台研究，批准号：**，资助期限：2009年1月至2012年12月。
参与中科院"****"（引进国外杰出人才计划）项目：情报与安全信息学， 批准号：2F07C01，资助期限：2007年9月至2010年9月。
参与中国科学院知识创新工程重要方向项目：智能信息收集与社会传感器网络，批准号：KGCX2-YW-122-05，资助期限：2007年 8月至2009年12月。
5)主要论著
(1)期刊论文
[1]P. Su*, D. Zeng, and H. Zhao, "Behavior action mining," IEEE Access, accepted, 2019. (SCI， IF=3.557)
[2]K. Su, G. Yang, B. Wu, L. Yang, D, Li, P. Su, and Y. Yin, "Human identification using finger vein and ECG signals," Neurocomputing, 332:111-118, 2019. (SCI, IF=3.241)
[3]K. Su, G. Yang, L. Yang, P. Su, and Y. Yin, "Learning binary hash codes for finger vein image retrieval," Pattern Recognition Letters, 117: 74-82, 2019. (SCI, IF=2.351)
[4]K. Su, G. Yang, L. Yang, P. Su, and Y. Yin, "Non-negative locality-constrained vocabulary tree for finger vein image retrieval," Frontiers of Computer Science, 1-15, 2018. (SCI, IF=1.105)
[5]P. Su*, D. Zhu, and D. Zeng, "A new approach for resolving conflicts in actionable behavioral rules," The Scientific World Journal, vol. 2014, Article ID 530483, 9 pages, 2014. doi:10.1155/2014/530483
[6]P. Su, W. Mao*, and D. Zeng, "An empirical study of cost-sensitive learning in cultural modeling," Information Systems and e-Business Management, 11(3): 437-455, 2013. (SSCI，IF=1.032)
[7]P. Su, W. Mao*, D. Zeng, and H. Zhao, "Mining actionable behavioral rules," Decision Support Systems, 54(1): 142-152, 2012. (SCI， IF=4.574)
[8]P. Su*, D. Li, and K. Su, "Mining Valuable Action Rules：A Social Computing Approach," Energy Education Science and Technology, Part B. Social and Educational Studies, 5(2): 995-1002, 2012.
[9]X. Li*, W. Mao, D. Zeng, P. Su, and F.-Y. Wang, "Performance evaluation of machine learning methods in cultural modeling," Journal of Computer Science and Technology, 24(6): 1010-1017, 2009. (SCI-E)
(2)会议论文
[10]P. Su*, Y. Zhao, J. Yang, Z. Li, "A New Approach to Security Informatics: Actionable Behavioral Rules Mining (ABRM)", in Proceedings of the 2017 IEEE International Conference on Intelligence and Security Informatics, China, 2017.
[11]P. Su*, J. Yang，Z. P. Li and Y. Liu，"Mining actionable behavioral rules based on decision tree classifier", in Proceedings of the International Conference on Semantics, Knowledge and Grids, 16-18, August, Beijing, China, 2017.
[12]P. Su*, J. Yang and Z. P. Li，"Handling Numeric Behavioral Attributes in Actionable Behavioral Rules Mining", in Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, 11-14, July, Beijing, China, 2016. (EI)
[13]P. Su*, J. Yang and Z. P. Li，"Bayesian Network-based Approach for Mining Actionable Behavioral Rules", in Proceedings of the International Conference on Semantics, Knowledge and Grids, 14-17, August, Beijing, China, 2016. (EI)
[14]P. Su* and W. Mao, "Power-function-based Observation-weighting Method for Mining Actionable Behavioral Rules", in Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 27-29 May 2015, Baltimore, MD, USA, 2015. (EI)
[15]P. Su*, L. Wang, D. Zeng and Y. Liu, "An Observation-weighting Method for Mining Actionable Behavioral Rules", in Proceedings of the 2015 International Conference on Advanced Computational Intelligence, 27-29 March 2015, Mount Wuyi, China, 2015. (EI)
[16]P. Su*, D. Zhu, and D. Zeng, "A new pruning method for resolving conflicts in actionable behavioral rules," in Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 4-7 June 2013, Seattle Washington, USA, pp. 274-274, 2013. (EI)
[17]P. Su*, D. Li, and K. Su, "An expected utility-based approach for mining action rules," in Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics, 12-16 August 2012, Beijing, China, pp. 78-91, 2012. (EI)
[18]P. Su*, W. Mao, D. Zeng, and H. Zhao, "Mining actionable behavioral rules from group data," in Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 9-12 July 2011, Beijing, China, pp. 181-183, 2011. (EI)
[19]P. Su*, W. Mao, D. Zeng, X. Li, and F.-Y. Wang, "Employing cost-sensitive learning in cultural modeling," in Proceedings of the 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, 15-17 July 2010, Qingdao, China, pp. 398-403, 2010. (EI)
[20]P. Su*, W. Mao, D. Zeng, X. Li, and F.-Y. Wang, "Handling class imbalance problem in cultural modeling," in Proceedings of the 2009 IEEE International Conference on Intelligence and Security Informatics, 8-11 June 2009, Texas, USA, pp. 251-256, 2009. (EI)
[21]X. Li*, W. Mao, D. Zeng, P. Su, and F.-Y. Wang, "Performance evaluation of classification methods in cultural modeling," in Proceedings of the 2009 IEEE International Conference on Intelligence and Security Informatics, 8-11 June 2009, Texas, USA, pp. 248-250, 2009. (EI)
6)学术任职
国际自动控制联合会经济和商务系统技术委员会（TC9.1）委员
国际会议IJCAI2017、ISI2017、ICDM-ISI2015、ISI2013、ISI2015、JISIC2014、ACM ISI-KDD2012 程序委员会委员
7)SCI/SSCI源刊审稿人
Transactions on Management Information Systems, INFORMS Journal on Computing, IEEE Intelligent Systems, Decision Support Systems, Electronic Commerce Research and Applications, Frontiers of Computer Science