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个人信息
姓名: 甘明鑫
甘明鑫
系别: 管理科学与工程系
职称: 副教授
联系方式: 地址:东凌经管学院大楼1028室
电话:(010)13810258067
Email:Ganmx@ustb.edu.cn
简介

  甘明鑫,北京科技大学经济管理学院管理科学与工程系副教授,硕士生导师,管理学博士。主要研究领域为大数据环境下复杂系统决策分析、智能决策支持系统、个性化推荐系统、社会网络分析、社会计算、知识发现、文本挖掘、商务智能等。在国际高水平学术期刊,如Decision Support Systems (DSS)、PLOS ONE、Expert Systems with Applications (ESWA)等上发表多篇论文,近些年以第一作者和通讯作者在国际学术期刊和国际学术会议上总共发表论文40余篇,其中SCI检索10余篇。主持国家自然科学基金2项以及多项企业合作研究课题。
  曾以访问学者身份访问多所国际高校,如美国加州大学伯克利分校、美国南加州大学、英国里丁大学等。担任多个国际高水平学术期刊Decision Support Systems (DSS)、Expert Systems with Applications (ESWA)、Knowledge-based systems (KBS)等的审稿人。

教育经历
2001.7 清华大学自动化系,自动化专业,获工学学士学位
2006.3 北京理工大学管理与经济学院,管理科学与工程专业,获管理学博士学位
主要科研项目

项目主持人,国家自然科学基金项目:大数据环境下融合多源信息的推荐系统关键问题研究(项目批准号:71471016),2015-2018

项目主持人,国家自然科学基金项目:基于本体与异质复杂网络的推荐系统研究(项目批准号:71101010),2012-2014

项目参与人,国家自然科学基金项目:敏捷供应链知识服务网络形成、演化与治理机制研究(项目批准号:71172169),2012-2015

项目主持人,企业科研课题:智能大数据集成分析平台规划设计方案,2016-2017

项目主持人,中国农业科学院:农业科技信息大数据分析与智能化知识推荐,2015-2017

项目主持人,中央高校基本科研业务费资助项目:企业信息系统映射与演化的同构理论与应用,2011-2013

项目主持人,企业科研课题:面向客户需求的电子商务信息推荐系统设计,2011-2013

项目主持人,企业科研课题:人体识别智能信息系统需求分析与建模,2010-2012

项目主持人,工业信息化部重点招投标项目子课题:电子政务系统的需求分析方法研究,2009-2010

获奖情况
2003年 获得中国农业科学院科学技术成果二等奖
2006年 博士毕业论文获得北京理工大学优秀博士论文奖
2011年 专著《电子政务系统的需求分析》获得北京科技大学专著奖
代表性著作

专著与教材代表作:
[1] 甘明鑫,曹菁. 电子政务系统的需求分析 [M]. 北京: 机械工业出版社. 2011.1 (第一著者)
[2] 甘仞初,甘明鑫,杜晖,颜志军. 信息系统分析设计与管理 [M]. 北京:高等教育出版社. 2009. 10 (第二著者)
[3] Gan Mingxin, Han Botang and  Liu Kecheng, “Semiotic transformation from business domain to IT domain in information systems development”, In P. –J. Charrel & D. Galarreta (Eds.), Project Management and Risk Management in Complex Projects-Studies in Organizational Semiotics, Part 4, FR: Springer, 2007.(参编第四部分)

学术论文代表作:

近五年发表的论文:
[1] Gan M (2016). COUSIN: A network-based regression model for personalized recommendations. Decision Support Systems, 82: 58-68. (SCI IF:2.313, JCR 2区, ABS3星)
[2] Gan M (2015). ROUND: Walking on an object-user heterogeneous network for personalized recommendations. Expert Systems with Applications, 42(22), 8791–8804.(SCI IF: 2.240, ABS3星,JCR 2区)
[3] Gan M, Jiang R (2013). Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities. Decision Support Systems, 55(3): 811-821. (SCI IF:2.313, ABS3星, JCR 2区)
[4] Gan M, Jiang R (2013). Constructing a user similarity network to remove adverse influence of popular objects for personalized recommendation. Expert Systems with Applications, 40(10): 4044-4053. (SCI IF:2.240, ABS3星, JCR 2区)
[5] Gan M (2016). Trinity: walking on a user-object-tag heterogeneous network for personalized tag-aware recommendation. Journal of Computer Science and Technology, 31(3): 577–594. (SCI IF: 0.672, JCR 2区)
[6] Gan M (2016). TAFFY: Incorporating tag information into a diffusion process for personalized recommendations. World Wide Web Journal, 19(5): 933-955. Doi:10.1007/s11280-015-0368-7 (SCI IF: 1.474, JCR 2区)
[7] Gan M (2014). Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products. Computational and Mathematical Methods in Medicine, 9. doi: 10.1155/2014/891842 (SCI IF: 0.791, JCR 2区)
[8] Gan M (2014). Walking on a User Similarity Network towards Personalized Recommendations. PLoS ONE 9(12): e114662. doi:10.1371/journal.pone.0114662 (SCI IF: 3.234, JCR 3区)
[9] Gan M, Dou X, Jiang R. From ontology to semantic similarity: calculation of ontology-based semantic similarity. The Scientific World Journal, 2013(2): 1-11. (SCI IF:1.730, JCR 3区)
[10] Gan M (2016). GLORY: Exploring Global and Local Correlations for Personalized Social Recommendations. Knowledge-based systems, in revision.
[11] Chen Y, Zhang W, Gan M, et al. (2012). Constructing phenome-interactome networks for the prioritization of candidate genes, Statistics and Its Interface, 5(1), 137-148 (SCI IF: 0.474, JCR 3区)
[12] Jiang R, Gan M, He P (2011). Constructing a gene semantic similarity network for the prioritization of candidate genes, BMC Systems Biology, 5 (Suppl 2): S2. (SCI IF: 3.57, JCR 2区)
[13] Gan M, Li L (2015). Motif-Plus: Incorporation of network motifs into Top-N friendship recommendations. International Journal of Reasoning-based Intelligent Systems. 7, 315–324. (EI)
[14] Gan M, Dou X, Wang D, Jiang R (2012). Improving recommendation performance through ontology-based semantic similarity. In Proceeding of the 2012 International Conference on Information Computing and Applications.
[15] Chen H, Gan M, Song M (2013). An improved recommendation algorithm based on graph model. Applied Mechanics and Materials, v 380-384, 1266-1269. (EI)
[16] Gan M, Dou X, Wang D, Jiang R (2011). DOPCA: a new method for calculating ontology-based semantic similarity. In Proceeding of the 10th IEEE/ACIS International Conference on Computer and Information Science. (EI)
[17] Gan M, Dou X, Jiang R. Improving recommendation performance through ontology-based semantic similarity, Lecture Notes in Computer Science, 7473:203-210, 2012. (EI)
[18] Huang Y, Gan M, Jiang R. Introducing TF-IDF to ontology-based genes similarity calculation. Lecture Notes in Computer Science, 7473:600-607, 2012. (EI)
[19] Gan M, Dou X, Wang D, Jiang R. DOPCA: A New Method for Calculating Ontology-based Semantic Similarity. In Proceeding of the 10th IEEE/ACIS International Conference on Computer and Information Science, 2011. (EI)
[20] Gan M, Jiang R. Inferring semantic similarity through correlating information contents of gene ontology terms. IEEE International Conference on Bioinformatics and Biomedicine, 2013. (EI)
[21] Wu J, Gan M, Zhang W, and Jiang R. Prediction of Disease-associated Single Amino Acid Polymorphisms Based on Physiochemical Features, International Journal of Bioscience, Biochemistry and Bioinformatics, 1(2):102-108, 2011. (EI)
[22] Wu J, Gan M and Jiang R. A genetic algorithm for optimizing subnetwork markers for the study of breast cancer metastasis, in Proceedings of the 2011 Seventh International Conference on Natural Computation (ICNC 2011), 1578-1582, 2011. (EI)
[23] Jiang R, Gan M, Wu J (2012). Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction. Int. J. of Computational Biology and Drug Design, 5(3/4): 206-221.
[24] 甘明鑫, 窦雪, 王道平等 (2012). 一种综合加权的本体概念语义相似度计算方法. 计算机工程与应用, 48(17), 148-153.
[25] 黄铮, 甘明鑫(通讯作者)(2011). 基于组织符号学的交通自助服务平台需求分析与建模. 计算机应用研究, 28(7): 657-659.
[26] Wu J, Gan M and Jiang R. Prioritization of candidate single amino acid polymorphisms using one-class learning machines, International Journal of Computational Biology and Drug Discovery, 4(4): 316-331, 2011. (EI)
[27] Medjitena N, Gan M* (2012). Evaluation of Information Systems based on CCP Framework and CBA Method. Spring World Congress on Engineering and Technology (SCET 2012), pp: 411-414.

研究方向
大数据环境下复杂系统决策分析、智能决策支持系统、个性化推荐系统、社会网络分析、社会计算、知识发现、文本挖掘、商务智能等
主讲课程
研究生课程:决策过程中的数量化方法,决策中的定量分析方法(全英文),企业建模理论与方法
本科生课程:决策支持系统,管理信息系统,企业系统建模,Java程序设计,工程项目风险与安全管理
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