General

Qingpei Hu, Associate Professor

Academy of Mathematics and Systems Science

Chinese Academy of Sciences


Email: qingpeihu@amss.ac.cn
Telephone: +86-10-82541631
Address: Room 203, Siyuan Building, 55 East Zhongguancun RD, Haidian, Beijing, China
Postcode: 100190

Research Areas

Statistics

Industrial Statistics

Systems Reliability

Honors & Distinctions

  1. Guan Zhao-Zhi Youth Researcher Awards 2014, Institute of Systems Science, AMSS, CAS

  2. IISE Transactions 2020 Best Paper Normination: 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. Featured Article of IISE Transactions: 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. Best Student Paper of IRC-SEMS2019: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. (Supervisor)

  5. Best Paper Award of NRPS2019:Zan Li, F.M. Wang, C.J. Wang, Q.P. Hu, D. Yu,"Reliability Evaluation based on Life Time Delayed Degradation Process",National Reliability Physics Symposium of China, 2019, Guilin

  6. Best Paper Awards of QR2MSE2018: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. Best Student Paper Awards of IRC-SEMS2018: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. (Supervisor)

  8. Best Paper Awards of ICRMS2016: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. Featured Article of IISE Transactions: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. Best Student Paper of PRDC2006: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.


Publications

  1. Wang, C.J., Liu J., Yang, Q.Y., Hu, Q.P.*, Yu, D. (2022), "Recoverability Effects on Reliability Assessment for Accelerated Degradation Testing", IISE Transactions (Accepted)

  2. Li, Z., Hu, Q.P.*, Yang, Q.Y., Yu, D. (2021), Statistical Analysis and Optimal Inspection Planning for Lifetime Delayed Gamma Degradation Process”, Quality and Reliability Engineering International, 1-16

  3. Li, Z., Wang, F.M., Wang, C.J., Hu, Q.P.*, Yu, D. (2021), “Reliability Modeling and Evaluation of Lifetime Delayed Degradation Process with Nondestructive Testing,” Reliability Engineering & System Safety, 208, 1-11 

  4.  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 / Best Paper Nomination for IISE Transactions 2020

  5. Li, D. M., Hu, Q.P.*, Wang, L.J. , and Yu, D. (2019), “Statistical Inference for Mt/G/Infinity Queueing Systems Under Incomplete Observations.”, European Journal of Operational Research, 279, 882-901

  6. 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. 

  7. 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.

  8. 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

  9.  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.

  10. 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.