Yan-Fu Li, Ph.D.


Professor, Department of Industrial Engineering, Tsinghua University
Director, Institute for Quality & Reliability, Tsinghua University


ResearcherID: B-6610-2014
Office: Shunde Building, North 410
Department of Industrial Engineering,
Tsinghua University,
Beijing, 100084, China
Tel: +86-10-6278-0197
Fax: +86-10-6278-0197
E-mail: liyanfu@tsinghua.edu.cn

[Summary] [Research Interests] [Research Projects] [Career Experience] [Educational Background] [Teaching] [Publications] [Awards and Recognitions] [Professional Services] [Invited Lectures and Seminars] [Students Supervision] [中文版]


Dr. Yan-Fu Li is currently the Director of the Institute for Quality & Reliability and a full professor at the Department of Industrial Engineering (IE), Tsinghua University. He received his Ph.D in Industrial Engineering from National University of Singapore in 2010. He was a faculty member at Laboratory of Industrial Engineering at CentraleSupélec, France, from 2011 to 2016. His research areas include RAMS (reliability, availability, maintainability, safety) assessment and optimization with the applications onto energy systems, transportation systems, computing systems, etc.

Dr. Li has published more than 100 research papers, including more than 80 peer-reviewed international journal papers with H-index 30. He is currently an Associate Editor of IEEE Transactions on Reliability, a member of IEEE Reliability Society AdCom, a senior member of IEEE and IISE and a member of INFORMS. He is a vice president of the System Reliability Chapter of System Engineering Society of China. He is an expert examiner of funding agencies include NSFC, Dutch Research Council (NWO).

He is the Principal Investigator (PI) of several government projects including the key project funded by National Natural Science Foundation of China, the project in National Key R&D Program of China, and participated in several projects supported by EU or French funding bodies. He is also experienced in industrial research, the partners include Huawei, JD, China Railway, Volkswagen, Mitsubishi Heavy Industries, EDF, ALSTOM, etc. The total amount of funding exceeds 20 million CNY.

Research Interests

Research Projects:

Government Sponsored Projects Industry Sponsored Projects

Career Experience:

Educational Background:


Undergraduate level courses Postgraduate level courses

[Summary] [Research Interests] [Research Projects] [Career Experience] [Educational Background] [Teaching] [Publications] [Awards and Recognitions] [Professional Services] [Invited Lectures and Seminars] [Students Supervision] [中文版]


Journal publications

    Reliability Modeling and Assessment

  1. S. Wang, Y.F. Li*, Y. Wang. 2018. Hybrid uncertainty model for multi-state systems and linear programming-based approximations for reliability assessment. IISE Transactions. 50 (12), 1058- 1075. (Featured article)
  2. Y.H. Lin, Y.F. Li*, E. Zio. 2018. A Comparison between Monte Carlo Simulation and Finite-Volume Scheme for Reliability Assessment of Multi-State Physics Systems. Reliability Engineering & System Safety. 174, 1-11.
  3. D. Tellbach, Y.F. Li*. 2018. Cyber-Attacks on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis. Energies. 11(2), 316.
  4. E.M. Larsen, Y. Ding, Y.F. Li, E. Zio. Definitions of Generalized Multi-Performance Multi-State k-out-of-n System and its Reliability Evaluations. Reliability Engineering & System Safety (accepted).
  5. I. Abdin, Y.F. Li*, E. Zio. 2017. Risk Assessment of Power Transmission Network Failures in a Uniform Pricing Electricity Market Environment. Energy. 138, 1042-1055.
  6. H.D. Mo, Y.F. Li*, E. Zio. 2016. A System-of-Systems Framework for the Reliability Analysis of Distributed Generation System Accounting for the Impact of Degraded Communication Networks. Applied Energy. 183, 805-822.
  7. Y.H. Lin, Y.F. Li*, E. Zio. 2016. Reliability Assessment of Systems Subject to Dependent Degradation and Random Shock Processes. IIE Transactions. 48(11), 1072-1085. (Featured article)
  8. Y.H. Lin, Y.F. Li, E. Zio. 2016. A Reliability Assessment Framework for Systems with Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 46(11), 1556-1564.
  9. Y.H. Lin, Y.F. Li, E. Zio. 2016. Component Importance Measures for Components with Multiple Dependent Competing Degradation Processes and Subject to Maintenance. IEEE Transactions on Reliability. 65(2), 547-557.
  10. Y.H. Lin, Y.F. Li*, E. Zio. 2015. Fuzzy Reliability Assessment of Systems with Multiple Dependent Competing Degradation Processes. IEEE Transactions on Fuzzy Systems. 23(5), 1428-1438.
  11. Y.F. Li*, S. Valla, E. Zio. 2015. Reliability Assessment of Generic Geared Wind Turbines by GTST-MLD Model and Monte Carlo Simulation. Renewable Energy. 83, 222-233.
  12. Y.H. Lin, Y.F. Li*, E. Zio. 2015. Integrating Random Shocks into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment. IEEE Transactions on Reliability. 64(1), 154-166.
  13. Y.F. Li, R. Peng. 2014. Availability modeling and optimization of dynamic multi-state series–parallel systems with random reconfiguration. Reliability Engineering & System Safety. 127, 47-57.
  14. Y.F. Li*, Y. Ding, E. Zio. 2014. Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems under Aleatory and Epistemic Uncertainties. IEEE Transactions on Reliability. 63(1), 13 - 25.
  15. Z. Yang, Y.X. Chen, Y.F. Li, E. Zio, R. Kang. 2014. Smart Electricity Meter Reliability Prediction based on Accelerated Degradation Testing and Modeling. International Journal of Electrical Power & Energy Systems. 56, 209-219.
  16. Y.F. Li*, E. Zio, Y.H. Lin. 2012. A Multistate Physics Model of Component Degradation Based on Stochastic Petri Nets and Simulation. IEEE Transactions on Reliability. 61(4), 921-931.
  17. Y.F. Li*, E. Zio. 2012. A Multi-State Model for the Reliability Assessment of a Distributed Generation System via Universal Generating Function. Reliability Engineering & Systems Safety. 106, 28–36.
  18. Y.F. Li*, E. Zio. 2012. Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System. Renewable Energy. 41, 235-244.
  19. Y. Ding, E. Zio, Y.F. Li, L. Cheng, Q. W. Wu. 2012. Definition of Multi-state Weighted k-out-of-n: F Systems. International Journal of Performability Engineering. 8(2), 217-219.
  20. Y.F. Li, R. Peng. 2015. Service Reliability Modeling of Distributed Computing Systems with Virus Epidemics. Applied Mathematical Modelling. 39(18), 5681-5692.
  21. C.T. Lin, Y.F. Li*. 2014. Rate-Based Queueing Simulation Model of Open Source Software Debugging Activities. IEEE Transactions on Software Engineering. 40(11), 1075 – 1099.
  22. Y.S. Dai, Y.P. Xiang, Y.F. Li, L.D. Xing. 2011. Consequence Oriented Self-Healing and Autonomous Diagnosis for Highly Reliable Systems and Software. IEEE Transactions on Reliability. 60(2), 369 – 380.
  23. X. Li, Y.F. Li, M. Xie, S.H. Ng. 2011. Reliability analysis and optimal version-updating for open source software. Information and Software Technology. 53(9), 929-936.
  24. R. Peng, Y.F. Li, W.J. Zhang, Q.P. Hu. 2014. Testing effort dependent software reliability model for imperfect debugging process considering both detection and correction. Reliability Engineering & System Safety 126, 37–43.
  25. R. Peng, Y.F. Li*, J.G. Zhang, X. Li. 2015. A risk-reduction approach for optimal software release time determination with the delay penalty cost. International Journal of Systems Science. 46(9), 1628-1637.
  26. Reliability, Maintenance and Safety Optimization

  27. S.M. Wang, Y.F. Li*, T. Jia. Distributionally Robust Design for Redundancy Allocation. INFORMS Journal on Computing (Accepted).
  28. M. Du, Y.F. Li*. 2020. An investigation of new local search strategies in memetic algorithm for redundancy allocation in multi-state series-parallel systems. Reliability Engineering and System Safety. 195, 106703.
  29. H. Wu, Y.F. Li*. 2020. Optimal inspection and maintenance for a repairable k-out-of-n: G warm standby system. Reliability Engineering and System Safety. 193, 106669.
  30. S. Zhang, M.Y. Du, J.J. Tong, Y.F. Li*. 2019. Multi-objective Optimization of Maintenance Program in Multi-unit Nuclear Power Plant Sites. Reliability Engineering & System Safety, 188, 532-548.
  31. M.X. Sun, Y.F. Li*, E. Zio. 2019. On the Optimal Redundancy Allocation for Multi-State Series-Parallel Systems under Epistemic Uncertainty. Reliability Engineering & System Safety 192, 106019.
  32. H. Long, Z.J. Zhang, M.X. Sun, Y.F. Li. 2018. A Data-Driven Robust Optimization Model for Wind Farm Operations. Energy. 149, 485-495.
  33. Y.H. Lin, Y.F. Li*, E. Zio. 2018. A Framework for Modeling and Optimizing Maintenance in Systems Modeled by Piecewise-Deterministic Markov Processes Considering Epistemic Uncertainty. IEEE Transactions on Industrial Informatics. 14(1), 210-220.
  34. R. Mena, M. Hennebel, Y.F. Li, E. Zio. 2016. A multi-objective optimization framework for risk-controlled integration of renewable generation into electric power systems. Energy. 106, 712-727.
  35. R. Rocchetta, Y.F. Li*, E. Zio. 2015. Risk Assessment and Risk-Cost Optimization of Distributed Power Generation Systems Considering Extreme Weather Conditions. Reliability Engineering & System Safety. 136, 47-61.
  36. E. Kuznetsova, C. Ruiz, Y.F. Li, E. Zio. 2015. Analysis of robust optimization for decentralized microgrid energy management under uncertainty. International Journal of Electrical Power and Energy Systems. 64, 815-832.
  37. R. Mena, M. Hennebel, Y.F. Li, C. Ruiz, E. Zio. 2014. A Risk-Based Simulation and Multi-Objective Optimization Framework for the Integration of Distributed Renewable Generation and Storage. Renewable & Sustainable Energy Reviews. 37, 778-793.
  38. R. Mena, M. Hennebel, Y.F. Li, E. Zio. 2014. A self-adaptable hierarchical clustering differential evolution for optimal integration of renewable distributed generation. Applied Energy. 133, 388-402.
  39. E. Kuznetsova, Y.F. Li, C. Ruiz, E. Zio. 2014. An integrated framework of agent-based modelling and robust optimization for microgrid energy management. Applied Energy. 129, 70 – 88.
  40. Y.F. Li*, N. Pedroni, E. Zio. 2013. A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment. IEEE Transactions on Power Systems. 28(3), 2660 – 2669.
  41. E. Kuznetsova, Y.F. Li, C.R. Mora, E. Zio, G. Ault, K. Bell. 2013. Reinforcement learning for microgrid energy management. Energy. 59, 133–146.
  42. Y.F. Li*, G. Sansavini, E. Zio. 2013. Non-Dominated Sorting Binary Differential Evolution for the Multi-Objective Optimization of Cascading Failures Protection in Complex Networks. Reliability Engineering & System Safety. 111, 195–205.
  43. PHM and Machine Learning

  44. H. Meng, Y.F. Li*. 2019. A review on prognostics and health management (PHM) methods of lithium-ion batteries. Renewable and Sustainable Energy Reviews. 116, 109405.
  45. R. Ak, Y.F. Li., V. Vitelli, E Zio. 2018. Adequacy Assessment of a Wind-Integrated System Using Neural Network-based Interval Predictions of Wind Power Generation and Load. International Journal of Electrical Power & Energy Systems. 95, 213-226.
  46. J. Huang, J. W. Keung, F. Sarro, Y. F. Li, Y.T. Yu, W.K. Chan, H. Sun. 2017. Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study. Journal of Systems and Software. 132, 226-252.
  47. J. Liu, Y.F. Li., E. Zio, E. 2017. A SVM framework for fault detection of the braking system in a high speed train. Mechanical Systems and Signal Processing. 87, 401-409.
  48. J.L. Huang, Y.F. Li, M. Xie. 2015. An empirical analysis of data preprocessing for machine learning-based software cost estimation. Information and Software Technology. 67(c), 108-127.
  49. R. Ak, Y.F. Li., V. Vitelli, E. Zio, E. L. Droguettc, C. M. C. Jacintod. 2013. NSGA-II-Trained Neural Network Approach to the Estimation of Prediction Intervals of Scale Deposition Rate in Oil & Gas Equipment. Expert Systems with Applications. 40(4), 1205-1212.
  50. Y.F. Li*, S.H. Ng, M. Xie, T.N. Goh. 2010. A Systematic Comparison of Metamodeling Techniques for Simulation Optimization in Decision Support Systems. Applied Soft Computing. 10, 1257-1273.
  51. Y.F. Li*, M. Xie, T.N. Goh. 2010. Adaptive ridge regression system for software cost estimating on multi-collinear datasets. Journal of Systems and Software. 83(11), 2332-2343.
  52. Y.F. Li*, M. Xie, T.N. Goh. 2009. A Study of the Non-linear Adjustment for Analogy Based Software Cost Estimation. Empirical Software Engineering. 14(6), 603-643.
  53. Y.F. Li*, M. Xie, T.N. Goh. 2009. A Study of Mutual Information Based Feature Selection for Case Based Reasoning in Software Cost Estimation. Expert Systems with Applications. 36(3), 5921-5931.
  54. Y.F. Li*, M. Xie, T.N. Goh. 2009. A Study of Project Selection and Feature Weighting for Analogy Based Software Cost Estimation. Journal of Systems and Software. 82(2), 241-252.
  55. Chinese Journal Papers

  56. 李彦夫,门天立. 2019. 列车车轮多边形磨损及其噪音研究综述. 振动、测试与诊断. 39(6), 1113-1152.
Book Chapters
  1. H. Meng, Y.F. Li. 2020. State of Health Prognostics of Lithium-Ion Batteries, in Stochastic Models in Reliability Engineering. ed. Lirong Cui, Ilia Frenkel, Anatoly Lisnianski. CRC Press Taylor & Francis Group.
  2. Y.H. Lin, Y.F. Li, E. Zio. 2018. Reliability Assessment of Systems with Dependent Degradation Processes Based on Piecewise-Deterministic Markov Process. In Recent Advances in Multi-state Systems Reliability, Page: 213-225. Springer, Cham.
  3. Y.F. Li, E. Zio. 2018. RAMS Optimization Principles, in Handbook of Safety Principles. ed. Niklas Moller, Sven Ove Hansson, Jan-Erik Holmberg, Carl Rollenhagen. John Wiley & Sons, NJ, USA.
  4. Y.F. Li, E. Zio, Y.H. Lin. 2012. Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling, in Applied Reliability Engineering and Risk Analysis. Probabilistic Models and Statistical Inference. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist. ed. Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner, Ilia Frenkel. Wiley.
  5. C.J. Xiong, Y.F. Li, M. Xie, S.H. Ng, T.N. Goh. 2009. Service Reliability and Availability Analysis of Distributed Software Systems Considering Malware Attack, in Advances in Software Engineering, vol. 36 of Communications in Computer and Information Science. Springer Berlin Heidelberg. Page: 313-320. ISSN: 1865-0929. (ISTP)
  6. Y.F. Li, J. Liu. 2005 Predicting Subcellular Localization of Proteins Using Support Vector Machine with N-Terminal Amino Composition. in Advanced Data Mining and Applications, vol. 3584 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, Page: 618-625. ISSN: 0302-9743. (ISTP)
Computer Science Top Conference Papers:
  1. Y. Xue, Y.F. Li*. Multi-objective integer programming approaches for solving optimal feature selection problem. 40th International Conference on Software Engineering (ICSE40), May 27-June 3, 2018, Gothenburg, Sweden.

[Summary] [Research Interests] [Research Projects] [Career Experience] [Educational Background] [Teaching] [Publications] [Awards and Recognitions] [Professional Services] [Invited Lectures and Seminars] [Students Supervision] [中文版]

Awards and Recognitions:

Professional Services:

International Journal Editorships: Conference Services:

General Chair/Co-Chair

Track Leader, Session Chair/Moderator

Technical Program Committee Member

Professional Society Services/Memberships:

Invited Lectures and Seminars:

[Summary] [Research Interests] [Research Projects] [Career Experience] [Educational Background] [Teaching] [Publications] [Awards and Recognitions] [Professional Services] [Invited Lectures and Seminars] [Students Supervision] [中文版]

Students Supervision:

Postdoc research fellow: Ph.D. Students: Master Students: