
电子邮件: qingpeihu@amss.ac.cn
通信地址: 北京市海淀区中关村东路55号思源楼204
邮政编码: 100190
研究领域
统计学,工业统计,系统可靠性
工作经历
2020.5-至 今 中科院数学院系统所统计科学研究室,副主任
2017.1-至 今 中科院数学院与航天五院可靠性技术联合实验室,副主任
2018.1-至 今 中科院数学院质量与数据科学研究中心,常务副主任
2015.3-至 今 中国科学院数学与系统科学研究院,副研究员;
2013.4-2015.3 中国科学院数学与系统科学研究院,所聘副研究员;
2008.8-2013.3 中国科学院数学与系统科学研究院,助理研究员;
2008.5-2008.8 香港城市大学,Research Fellow;
2007.7-2008.4 韩国高级科学技术学院,博士后。
学术任职
学会任职
中国现场统计研究会 理事/副秘书长
北京应用统计学会 理事
全国工业统计学教学研究会 理事
中国生物多样性保护与绿色发展基金会 理事
中国运筹学会可靠性分会 常务理事
中国系统工程学会系统可靠性工程专业委员会 常务理事
中国现场统计研究会可靠性工程分会 常务理事/副理事长
中国电子学会可靠性分会 委员/副秘书长
全国电工电子产品可靠性与维修性标准化技术委员会 委员
期刊任职
《系统科学与数学》 编委
《Quality Technology & Quantitative Management》 编委
专利与奖励
专利成果
于丹,徐建宇,胡庆培. 一种部件级信息多样性条件下的系统可靠性评估方法[P]. 北京:CN107862126A, 2018-03-30. (已授权)
于丹,李赵辉,胡庆培. 系统级产品可靠性综合评估置信推断方法[P]. 北京:CN106169124A, 2016-11-30. (已授权)
孙丽,武志忠,胡庆培,于丹,冯士伟,张金保,陈小娟,付明睿,张辰, 忽敏学, 张俊. 一种半球轴承动压马达的可靠性验证方法[P]. 北京:CN104062585A, 2014-09-24. (已授权)
奖励荣誉
中国科学院系统科学研究所关肇直青年研究奖,2014
美国工业系统工程学会旗舰期刊IISE Transactions 2020年度最佳论文提名奖: Li, Z. H., Yu, D., Liu, J. and Hu, Q.P. (2020), “Higher-order normal approximation approach for highly reliable system assessment.” IISE Transactions, 52 (5), 555-567
美国工业系统工程学会旗舰期刊IISE Transactions 2020年第五期 Featured Article: Li, Z. H., Yu, D., Liu, J. and Hu, Q.P. (2020), “Higher-order normal approximation approach for highly reliable system assessment.” IISE Transactions, 52 (5), 555-567
IRC-SEMS2019最佳学生论文奖:Wang, C. J., Hu, Q. P., and Yu, D. (2019). "Assessment of Reliability for Accelerated Degradation Testing with Random Initial Degradation." The 7th International Research Conference on Systems Engineering and Management Science. Nanjing, pp. 1-6. (导师)
全国可靠性物理年会优秀论文奖:李赞,王奉明,王成杰,胡庆培,于丹,"基于寿命延迟退化过程的可靠性评估及检测优化设计",全国可靠性物理年会 NRPS2019,桂林
QR2MSE2018最佳论文奖:Li, D.M., Q. P. Hu, and D. Yu, Likelihood based Statistical Inference Approach for Mt/G/Inf Queueing Systems Under Incomplete Observations, in 2018 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, Qingdao.
IRC-SEMS2018最佳学生论文奖:Li, D.M., Q. P. Hu, and D. Yu, Likelihood based Statistical Inference Approach for Mt/G/Inf Queueing Systems Under Incomplete Observations, in the 6th International Research Conference on Systems Engineering and Management Science. 2018. (导师)
ICRMS2016最佳论文奖:Li, Z., Q.P. Hu and D. Yu (2016). A Normal Approximation Approach with Higher Order for System Reliability Assessment. 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Hangzhou, China.
美国工业系统工程学会旗舰期刊IISE Transactions2016年第3期Featured Article:Wang, L., Q.P. Hu and J. Liu (2016). Software reliability growth modeling and analysis with dual fault detection and correction processes. IIE Transactions 48(4): 359-370. (SCI)
PRDC2006最佳学生论文奖:Hu, Q. P, Xie, M., and Ng, S. h. (2006). "Early Software Reliability Prediction with ANN Models" 12th Pacific Rim International Symposium on Dependable Computing (PRDC'06). Riverside, 210-220.
论文发表
Li, Z., Wang, F.M., Wang, C.J., Hu, Q.P.*, Yu, D. (2020), “Reliability Modeling and Evaluation of Lifetime Delayed Degradation Process with Nondestructive Testing,” Reliability Engineering & System Safety (Online)
Li, Z. H., Yu, D., Liu, J. and Hu, Q.P.* (2020), “Higher-order normal approximation approach for highly reliable system assessment.” IISE Transactions, 52 (5), 555-567. (Featured Article)
Li, D. M., Hu, Q.P.*, and Yu, D. (2019), “Statistical Inference for Mt/G/Infinity Queueing Systems Under Incomplete Observations.”, European Journal of Operational Research, 279, 882-901
Ye, Z. S., Hu, Q. P.*, and Yu, D. (2019). "Strategic allocation of test units in an accelerated degradation test plan." Journal of Quality Technology, 51(1), 64-80.
Sheng, Z., Hu, Q. P.*, Liu, J., and Yu, D. (2019). "Residual life prediction for complex systems with multi-phase degradation by ARMA-filtered hidden Markov model." Quality Technology & Quantitative Management, 16(1), 19-35.
Wang, L., Hu, Q. P.*, and Liu, J. (2016). "Software reliability growth modeling and analysis with dual fault detection and correction processes." IIE Transactions, 48(4), 359-370. (Featured Article)
Zhang, M., Hu, Q. P., Xie, M., and Yu, D. (2014). "Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm." Computational Statistics & Data Analysis, 75, 96-111.
Hu, Q. P., Xie, M., Ng, S. H., and Levitin, G. (2007). "Robust recurrent neural network modeling for software fault detection and correction prediction." Reliability Engineering & System Safety, 92(3), 332-340.