个人简历

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教授，博士生导师，管理学博士。主要研究领域为大数据分析与知识发现、智能推荐系统、智慧医疗、社会计算。近些年以第一作者和通讯作者在国际高水平学术期刊，如Decision Support Systems、PLOS ONE、Information Systems Frontiers、Expert Systems with Applications、BMC Systems Biology、Future Generation Computer Systems、World Wide Web Journal、Journal of Computer Science and Technology等和国际学术会议上总共发表论文40余篇，其中SCI检索16篇。主持国家自然科学基金2项、国防科技项目1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、Information Systems Frontiers、Expert Systems with Applications、Knowledge-based systems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

研究领域

大数据环境下复杂系统决策分析、智能推荐系统、智慧医疗、社会计算"主要科研项目
1.负责人，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
2.负责人，国家自然科学基金项目青年基金：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
3.负责人，国防科技项目：大数据环境下国防科技情报智能分析与知识发现研究，2017-2019
4.负责人，中央高校基本科研业务费资助项目：大数据环境下复杂系统决策分析的理论与方法，2017
5.负责人，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
6.负责人，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
7.参与人，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
8.负责人，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
9.负责人，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
10.负责人，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
11.负责人，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"

近期论文

代表性著作
英文期刊论文 (近五年)：
[1] Gan M, et al. (2018). GLORY: exploring global and local correlations for personalized social recommendations. Information Systems Frontiers, Forthcoming (SCI IF: 2.521, JCR 2区, ABS3星)
[2] Gan M, et al. (2017). Mimvec: a deep learning approach for analyzing the human phenome, BMC Systems Biology, 11(S4): 76. (SCI IF: 2.303, JCR 2区)
[3] Gan M (2016). COUSIN: A network-based regression model for personalized recommendations. Decision Support Systems, 82: 58-68. (SCI IF: 3.222, JCR 2区, ABS3星)
[4] Gan M, Jiang R (2017). Flower: fusing global and local associations towards personalized social recommendation. Future Generation Computer Systems, 78(1), 462-473. (SCI IF: 2.430, JCR 2区)
[5] Liu Q, Gan M, et al. (2017). A sequence-based method to predict the impact of regulatory variants using random forest. BMC Systems Biology, 11(S2), 7. (SCI IF: 2.303, 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. (SCI IF: 1.474, JCR 2区)
[7] Gan M, Jiang R (2015). ROUND: Walking on an object-user heterogeneous network for personalized recommendations. Expert Systems with Applications, 42(22), 8791–8804.(SCI IF: 3.928, ABS3星, JCR 2区)
[8] Gan M (2014). Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products. Computational and Mathematical Methods in Medicine, 9. (SCI IF: 0.791)
[9] Gan M (2014). Walking on a User Similarity Network towards Personalized Recommendations. PLoS ONE 9(12): e114662. (SCI IF: 3.234, JCR 3区)
[10] 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)
[11] 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)
[12] 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)
[13] Gan M, et al. (2013). From ontology to semantic similarity: calculation of ontology-based semantic similarity. The Scientific World Journal, 2: 1-11. (SCI IF:1.730, JCR 3区)
[14] 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)
[15] Jiang R, Gan M, He P (2011). Constructing a gene semantic similarity network for the prioritization of candidate genes, BMC Systems Biology, 5 (S2): S2. (SCI IF: 3.57, JCR 2区)
[16] 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)

国际会议论文 (近五年)：
[1] Gan M, et al. Does daily travel pattern disclose people’s preference? 2018 51th Hawaii International Conference on System Sciences (HICSS), January 3-7, 2018.
[2] Gan M, et al. (2012). Improving recommendation performance through ontology-based semantic similarity. In Proceeding of the 2012 International Conference on Information Computing and Applications.
[3] Chen H, Gan M, et al. (2013). An improved recommendation algorithm based on graph model. Applied Mechanics and Materials, v 380-384, 1266-1269. (EI)
[4] Gan M, et al. (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)
[5] Gan M, et al. (2012). Improving recommendation performance through ontology-based semantic similarity, Lecture Notes in Computer Science, 7473:203-210. (EI)
[6] Huang Y, Gan M, et al. (2012). Introducing TF-IDF to ontology-based genes similarity calculation. Lecture Notes in Computer Science, 7473:600-607. (EI)
[7] Gan M, Jiang R. Inferring semantic similarity through correlating information contents of gene ontology terms. IEEE International Conference on Bioinformatics and Biomedicine, 2013. (EI)
[8] 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).

专著与教材：
[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）