（一）个人简介
郭躬德博士，教授，男，65年3月出生，中共党员, 博士生导师，籍贯福建龙岩，现任福建师范大学数学与计算机科学学院副院长、福建师范大学计算机实验教学中心(省示范中心)主任。
（二）社会兼职
福建省人工智能学会副理事长
福建省计算机学会理事
福建省高校计算机等级考试委员会委员
知识科学、工程和管理国际会议程序和组织委员会委员(KSEM07)
先进的信息网络和应用国际会议程序和组织委员会委员（AINA08）
信息和知识工程国际会议程序和组织委员会委员(IKE05)
数据挖掘国际会议程序和组织委员会委员(DMIN05,06,07,08)
粗糙集与知识技术国际会议程序和组织委员会委员(RSKT08)
Antarctica Journal of Mathematics (ISSN: 0972-8643) 编委
（三）教育经历
81年9月 - 85年7月，浙江大学计算机科学与工程学系计算机软件专业, 本科；
85年9月 - 87年6月，浙江大学计算机科学与工程学系计算机应用专业, 研究生；
99年11月 - 04年11月，英国ULSTER大学工程学院，计算机科学专业, 博士生。
（四）工作经历
87年6月- 至今，福建师范大学数学与计算机科学学院工作；
97年8月- 98年6月，英国ULSTER大学信息学院(现并入工程学院)访问学者;
02年6月- 03年12月，英国ULSTER大学工程学院工作；
04年10月- 06年9月，英国BRADFORD大学信息学院，博士后
（五）研究方向
人工智能、机器学习和数据挖掘技术及其应用
（六）获奖情况
2004年获英国ULSTER大学最佳博士论文奖
1997年获福建省优秀教学成果奖二等奖，排名第二
（七）在研项目
2008年9月-2010年9月,多分类器融合策略研究,国家回国留学人员基金,负责人。
2007年1月-2010年3月，多分类器融合技术及其应用研究，福建省自然科学基金，项目号：2007J0016，负责人。
2008年5月-2010年11月,半监督算法及其应用研究,福建省自然科学基金, 项目号：2008J04004，(第二署名)
2006年10月-2009年10月，移动对象数据查询与挖掘技术研究，福建省青年科技人才创新基金，项目号：2006F3045，第二署名。
（八）已结题项目
2007年1月-2008年12月，基于空间最小覆盖的分类方法研究，福建省教育厅A类科技项目，项目号：JA07051，负责人。
2004年10月-2006年9月，基于混合智能系统方法的可预测毒理学知识表示和处理工具的研究,项目号：GR/T02508/01，英国工程物理科学研究基金，专职研究人员。
2002年6月-2003年12月，智能内容管理系统，项目号：IST-2001-32429，欧共体基金，专职研究人员。
2001年-2002年，人机环境中用户操作模式的发现与软件界面的自适应性，省科技厅，参与者。
1997年-1998年，交互式多媒体协作项目，中英文化交流基金，主要参与者。
1997年-2000年，多媒体课件设计和图像压缩，省教育厅，负责人。
1996年-1998年，计算机辅助教育课件的开发和设计，省科技厅，参与者。
（九）教学
研究生课程：数据挖掘技术(3);智能分类系统（3）;机器学习（3）;算法原理及应用（4）
本科生课程：计本06级;07级-计算机科学导论(3)（双语教学）;计本07级-数据结构(4)
（十）论文著作
2000年以来共发表文章60多篇，到目前为止被SCI检索18篇，EI检索17篇，ISTP检索27篇。下面列出近5年发表的部分文章（49篇）：
Cai, X., Guo, G., Huang, TQ. 基于半监督技术的多分类器融合策略研究,计算机工程与应用（accepted)，2009.
Chen, H., Guo, G., 基于空间覆盖的半监督特征选择方法,计算机工程与应用（accepted)，2009.
Guo, G., Huang, Y. A Minimal Coverage-based Classification Method and Its Application in Predictive Toxicology Data Mining, 2008 IEEE SMC, Singapore, IEEE press, 2008.
Huang, Y., Guo, G., Chen, H., Huang, TQ. Dynamic partial coverage based feature selection method, in Proc. of FSKD 2008, IEEE press, 2008.
Chen, H., Guo, G., Huang, Y., Huang TQ, A spatial overlapping based similarity measure applied to hierarchical clustering, in Proc. of FSKD2008, IEEE press, 2008.
Zhao, C., Guo, G., Huang, XM., Neagu, D., Huang TQ. Data reduaction and classification based on multiple classifier behavior. in Proc. of DMIN 2008, USA CSREA Press, 2008.
陈红，郭躬德，黄彧，黄添强，基于空间覆盖关系相识性度量的层次聚类算法，计算机科学,vol.35 No.8A, pp.258-261，2008.
Yu, YQ., Huang, TQ., Guo, G., Li, K. Semi-supervised Clustering Algorithm for Multi-density and Complex Shape Dataset. in Proc. of CCPR 2008, IEEE press, pp. 30-35, 2007.
黄添强，郭躬德，卓飞豹. 基于多分类器的复合决策树在遥感分类中的应用. 青岛大学学报. 2007, 22(4).
Neagu, D., Guo, G., Trundle P. and Cronin, M.T.D. A Comparative Study of Machine Learning Algorithms Applied to Predictive Toxicology Data Mining, In Journal of ATLA 35, 25-32, 2007.
Bi, Y., Bell, D., Wang, H., Guo, G. and Guan J. Combining Multiple Classifiers Using Dempster’s Rule for Text Categorization, in Journal of Applied Artificial Intelligence, 21:3,211-239, Taylor and Francis, 2007.
Huang, X.M., Guo, G., Neagu, D. and Huang, T.Q. wkNNModel based Data Reduction and Classification, in Proc. of ICNC2007, the 3rd International Conference on Natural Computation, IEEE Press.
Huang, Y. Guo, G. and Neagu, D. A Partial Coverage based Approach to Classification. In Proc. of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2007.IEEE Press.
Book title: Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purpose, Editor: Emilio Benfenati. Elsevier Press, Amsterdam, 2007. (co-author of book Chapter 4 and 5)
Bi,Y., Wu, S and Guo, G. Combining Prioritized Decisions in Classification. In Proc. of MDAI 2007, in Lecture Notes in Computer Science, LNCS 4617/2007, 121-132, 2007.
Guo, G., Wang, H., Bell, D. Bi, Y. and Greer, K., Using KNN Model for Automatic Text Categorization. Journal of Soft Computing, Publisher: Springer-Verlag Heidelberg. 2006. 10(5), Page 423-430.
Guo, G., Neagu, D., Huang, X. and Bi, Y. An Effective Combination of Multiple Classifiers for Toxicity Prediction. Proc. of FSKD2006, the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, Lecture Notes in Artificial Intelligence, LNAI 4223/2006, pp. 481-490, 2006, Springer-Verlag Berlin Heidelberg.
Neagu, D., Guo, G.(2006) A Data-Driven Approach for Improved Effective Classification in Predictive Toxicology. In Proc. of IEEE-ICCC (IEEE International Conference on Computational Cybernetics) 2006, 20-22 August, 2006, Tallinn, Estonia.
Neagu, D., Guo, G. An Effective Combination Based on Class-wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining, Lecture Notes in Artificial Intelligence, LNAI 4093/2006, pp.165-172, 2006, Springer-Verlag Berlin Heidelberg.
Bi, Y., Wu, S., Huang, X. and Guo, G. Combining Multiple Sets of Improving Classification Via Measuring Their Closenesses. In Lecture Notes in Artificial Intelligence, LNAI 4099/2006, pp. 1069-1072, 2006, Springer-Verlag Berlin Heidelberg.
Neagu, D., Guo, G., Trundle, P.R. and Cronin, M.T.D. (2006) Data Mining for Ecological Endpoints: Comparative Study of Machine Learning Algorithms for Predictive Toxicology, In Proc. of SETAC-UK (Society of Environmental Toxicology and Chemistry Conference) 2006. 4-5 Sept.2006 in Liverpool UK.
Guo, G., Neagu, G. Fuzzy KNNModel Applied to Predictive Toxicology Data Mining. Journal of Computational Intelligence and Applications, Imperial College Press, vol.5, No.3 (2005) 321-333.
Guo, G., Wang H. and Bell, D. Similarity-based Data Reduction Techniques. Journal of Research and Practice in Information Technology. Australian Computer Society Inc, pages 211-232, Vol.37, No. 2, May 2005.
Guo, G., Neagu, D. and Cronin, M.T.D. Using kNN Model for Automatic Feature Selection. Proc. of ICAPR’05, Publisher: Springer-Verlag Heidelberg, Lecture Notes in Computer Science, LNCS3686, pages 410-419, 2005.
Guo, G., Neagu D. and Cronin, M.T.D. A Study on Feature Selection for Toxicity Prediction. Proc. of FSKD’05, Publisher: Springer-Verlag Heidelberg, Lecture Notes in Artificial Intelligence, LNAI 3614, pages 31-34, 2005.
Guo, G., Neagu, D. Similarity-based Classifier Combination for Decision Making, Proc. of the IEEE International Conference on Systems, Man and Cybernetics (SMC’05), IEEE press, pages 176-181, 2005.
Guo, G., Wang, H.,Bell, D. and Liao, Z. Similarity-based Data Reduction and Classification, Post-proceedings of Monitoring, Security, and Rescue Techniques in Multi-agent Systems (MSRAS’04), Springer-Verlag Heidelberg, Advances in Soft Computing, pages227-238, 2005.
Wang, H., Duntsch, I., Gediga, G. and Guo, G.(2005) Nearest Neighborhood without k. Book Title: Monitoring, Security, and Rescue Techniques in Multi-agent Systems. Dunin-Keplicz, B.; Jankowski, A.; Skowron, A.; Szczuka, M. (Eds.), Publisher: Springer-Verlag Heidelberg, pages 179-190, in Advances in Soft Computing, 2005. ISSN:1615-3871.
Liao, Z., Wang, H., Glass, D., and Guo, G. (2005) Query Cost Model Constructed and Analyzed in a dynamic Environment. Book Title: Monitoring, Security, and Rescue Techniques in Multi-agent Systems. Dunin-Keplicz, B.; Jankowski, A.; Skowron, A.; Szczuka, M. (Eds.) Publisher: Springer-Verlag Heidelberg, pages 327-332, in Advances in Soft Computing, 2005. ISSN:1615-3871.
Liao, Z., Wang, H. Glass, D. and Guo, G. kNN Based Evolutionary Techniques for Updating Query Cost Models. In Proc. of FSKD’05, Publisher: Springer-Verlag Heidelberg, LNCS 3614, pages 797-800, 2005.
Wu, QX., Bell, D., McGinnity, M. and Guo, G. (2005): Decision Making Based on Hybrid of Multi-Knowledge and Naive Bayes Classifier. Foundations of Data Mining and Knowledge Discovery, Tsau Yound Lin, Setsuo Ohsuga, Churn-Jung Liau, Xi (ed.), Springer-Verlag, Computer Science, ISBN: 3-540-26257-1, pp.171-180.
Shhab, A., Guo, G. and Neagu, D. (2005) A Study on Applications of Machine Learning Techniques in Data Mining. Proc. of the 22nd BNCOD workshop on Data Mining and Knowledge Discovery in Databases. 8th July, 2005, Sunderland,UK.
Fan, XP, Liu, X, Liao, ZF and Guo, G. (2005): Research on Diagnostic System of Early Colorectal Carcinoma Based on Data Mining, The 2005 International Conference on Data Mining (DMIN'05), pages 279-282, CSREA Press., Las Vegas, Nevada, USA.
Neagu, D., Guo, G., Trundle, P.R. and Cronin, M.T.D. A Comparative Study of Machine Learning Algorithms Applied to Predictive Toxicology Data Mining, In Proc. of SSCT&ETS’05. 2005.
Xu L, Zheng B and Guo, G. Mobility-Aware and Load Balancing Based Clustering Algorithm for Energy Conservation in MANET, Journal of Electronic Science and Technology of China, 3(1),2005.
Guo, G., Wang, H. Bell, D. and Liao, Z. Contextual Probability-based Classification. Proc. of the 23rd International Conference on Conceptual Modeling (ER2004), Publisher: Springer-Verlag Heidelberg, Lecture Notes in Computer Science, LNCS 3288/2004, pages 313-326, 2004.
Guo, G., Wang, H. and Bell, D. Financial Time Series Analysis and Prediction. Proc. of MLMTA’04, the International Conference on Machine Learning, Model, Technologies and Application, Published by CSREA Press, pages 1013-1019,2004.
Guo, G., Wang, H. and Liao, Z. G Probability-based Method and Its Application. Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC’04), pages 1388-1394, 2004.
Guo, G., Wang, H. and Bell, D. et al. An kNN Model-based Approach and Its Application in Text Categorization. Proc. of CICLing’04, the 5th International Conference on Computational Linguistics and Intelligent Text Processing, Published by Springer-Verlag, Lecture Notes in Computer Science, LNCS2945/2004, pages 559-570, 2004.
Greer, K., Wang, H., Bell, D., Bi, Y. and Guo, G. Ontology Based Access to Web Services through Agents. Proc. of AC’04, IADIS press, 2004.
Liao, Z., Wang, H., Glass, D., and Guo, G. Query Cost Estimated in Noise Wide Area Environment. Proc. of IKE’04, the International Conference on Information and Knowledge Engineering, Published by CSREA Press, pages 232-235, 2004.
Bi, Y., Bell, D., Wang, H., Guo, G. and Greer, K. Combining Multiple Classifiers Using Dempster-Shafer’s Rule for Text Categorization. Proc. of MDAI’04, the First International Conference on Modeling Decisions for Artificial Intelligence, Published by Springer-Verlag, Lecture Notes in Computer Science, LNCS3131/2004, pages 127-138, 2004.
Liao, Z., Wang, H. and Guo, G. Optimal Query Plan Selection Based on Network and Remote Server Analysis, IEEE SMC 2004 International Conference on Systems, Man and Cybernetics, pages 6160-6166,2004.
Bi, Y., Bell, D., Wang, H.,Guo, G., Greer, K. Classification Decision Combination for Text Categorization, the 15th International Conference on Database and Expert Systems Applications (DEXA 2004),Lecture Notes in Computer Science, LNCS3180/2004, pages 222-231, 2004.
Guo, G., Wang, H., and Bell, D. 时间序列数据分析与预处理, 小型微型计算机系统, 24:12 (2003), 2228---2232, 2003.
Guo, G., Wang, H. and Bell, D. et al. kNN Model-based Approach in Classification. Proc. of ODBASE’03, the 2nd International Conference on Ontologies, Database and Applications of Semantics, Published by Springer-Verlag, Lecture Notes in Computer Science, LNCS2888/2003, pages 986-996, 2003.
李凯、黄添强、郭躬德、余养强. 基于少量标签的高维数据半监督聚类. 南京师大学报,32-34, 2008.
卓飞豹，郭躬德，黄添强，移动对象轨迹的双重插值，福建师范大学学报, 32-36, vol. 24(5), 2008.
赵春莹，郭躬德，黄旭明， 基于专家类评估的混和分类系统，福建师范大学学报，13-20, vol. 24(增）, 2008.
（十一）指导硕士生
05级：赵春莹（女）(与黄旭明联合指导，已毕业）
06级：黄或，卓飞豹（与黄添强联合指导）
07级：陈红（女），蔡晰，刘永芬（女），黎卫英（女）
08级：陈思（女），辛轶（女），黄杰，陈美霞（女）
（十二）联系方式
电子信箱：ggd@fjnu.edu.cn
办 公 室：0591-22868105（新校区），0591-83456050-509（旧校区）
办公地点：理工楼605（新校区），成功楼509（旧校区）