简历：

教育简历
中国科学院自动化研究所模式识别国家重点实验室研究员, 博士生导师。1983年在北京科技大学(原北京钢铁学院) 获工学硕士。1993年在加拿大McMaster大学获哲学博士学位。1997年9月回国前在加拿大Memorial University of Newfoundland, C-CORE研究中心担任高级研究工程师。目前为中国科学院北京研究生院教授。2000-2005年任中法信息、自动化、应用数学联合实验室 (LIAMA)中方主任。
胡包钢博士曾担任过“IEEE系统-人-控制国际会议(IEEE International Conference on Systems, Man and Cybernetics)” 1995年及1998年的分会主席，2001年国际程序委员会委员, “1998年世界控制大会，第二届智能自动化和控制国际专题会议(WAC’98: The 2nd International Symposium on Intelligent Automation and Control)” 的国际程序委员会委员，2003年“植物生长建模、仿真、可视化及其应用国际专题会议”(PMA03)大会主席。他担任过专业刊物论文评审人的杂志有“IEEE Transactions on Systems, Man and Cybernetics”, “IEEE Transactions on Fuzzy Systems”, “Engineering Applications of Artificial Intelligence”, “自动化学报”, “控制理论与应用”等。

研究领域：

智能系统、模式识别与植物生长建模

学术任职：

IEEE高级会员

学术成就：

Qu, H.-B. and Hu, B.-G., “Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth”, Ecological Informatics, Vol. 4, pp. 163-176, 2009.
Hu, B.-G., Qu, H.-B., Wang, Y. and Yang, S.-H., “A generalized constraint neural networks model: Associating partially known relationships for nonlinear regressions”, Information Science, Vol. 179, pp. 1929-1943, 2009.
Xing,H. J. and Hu, B.-G., “Two-Phase Construction of Multilayer Perceptrons Using Information Theory”, IEEE Transactions on Neural Networks, Vol. 20, pp. 715-721, 2009.
Yang, S.H., Hu, B.-G. and Cournède, P.H., “Structural Identifiability of Generalized Constraints Neural Network Models for Nonlinear Regression”, Neurocomputing, Vol. 72, pp. 392-400, 2008.
Kang, M.-Z., Cournède, P.-H., de Reffye, P., Auclair, D., Hu, B.-G.,”Analytical study of a stochastic plant growth model: Application to the GreenLab model”, Mathematics and Computers in Simulation, Vol. 78, pp. 57-75, 2008.
Xing,H. J. and Hu, B.-G., “An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification”, Neurocomputing, Vol. 71, pp. 1008–1021, 2008.
X.-T. Yuan, and B.-G. Hu, “Robust Feature Extraction via Information Theoretic Learning”, The 26th International Conference on Machine Learning (ICML 2009).
X.-T. Yuan, B.-G. Hu, and R. He, “Agglomerative Mean-Shift Clustering via Query Set Compression”, 2009 SIAM International Conference on Data Mining (SDM’09).
S.-H. Yang and B.-G. Hu, “A Stagewise Least Square Loss Function for Classification”, Proceeding of the 2008 SIAM International Conference on Data Mining (SDM’08), pp.120-131, SIAM Press.
S.-H. Yang and B.-G. Hu, “Feature Selection by Nonparametric Bayes Error Minimization”, The 12th Pacific-Asian Conference on KDD (PAKDD’08), LNAI, Vol.5012, pp.417-428, Springer. ( Recipient of the Best Student Paper Award)。

在研课题：

“植物生长及其构造形态的随机，功能与交互式模型研究”，中法合作课题