统计学，工业统计，系统可靠性

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。

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 

《系统科学与数学》                                编委

《Quality Technology & Quantitative Management》  编委

1. 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）

2. 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）

3. 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）

1. 中国科学院系统科学研究所关肇直青年研究奖，2014

2. 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

3. 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

4. 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)

5. 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

6. 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.  

7. 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)

8. 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.

9. 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)

10. 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.

1. 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) 

2.  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) 

3. 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

4. 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. 

5. 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.

6. 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) 

7.  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.

8. 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.