Biography
Dr. Zhenglin Liang received his doctoral degree from the University of Cambridge St John’s College, He is an Associate Professor and Ph.D. supervisor in the Department of Industrial Engineering at Tsinghua University. He serves as an Assistant Dean at the Institute for Quality and Reliability, Tsinghua University, and Deputy Director of the Tsinghua-Huawei Joint Laboratory.
Dr. Liang's research endeavors have predominantly centered around topics including system reliability, prognostics and health management, network resilience, machine learning, and digital twins. Research outcomes have been applied to sectors like infrastructure, telecommunications networks, and power grids. His research has been published in flagship journals in the fields of reliability and industrial engineering, such as "IEEE Transactions on Reliability," "Reliability Engineering & Systems Safety," and "IISE Transactions," Dr. Liang serves as Associate Editor of the "IEEE Transactions on Reliability" and as Editorial Board member of the "Journal of Systems and Software." Also, he has been awarded as an Associate Fellow of The Higher Education Academy.
His group plans to admit doctoral students and postdoctoral researchers annually. Individuals who have self-discipline, research passion, and a strong foundation in mathematics are welcome to submit their resumes to zhenglinliang@tsinghua.edu.cn
Educational Background
2011-2015: University of Cambridge, St. John's College, Ph.D. in Reliability and Asset Management
2010-2011: University of Bristol, Master's Degree in Image and Video Communication and Signal Processing
2007-2010: University of Manchester, Bachelor's Degree in Electrical and Electronic Engineering
Work Experience
2021-Present: Department of Industrial Engineering, Tsinghua University, Associate Professor
2019-2021: Department of Industrial Engineering, Tsinghua University, Assistant Professor
2016-2019: Department of Engineering, University of Cambridge, Postdoctoral Research Associate
2015-2016: Department of Engineering, University of Cambridge, Research Assistant
Teaching Courses
Undergraduate Courses:
• Machine Learning and Big Data
• Reliability Engineering and Asset Management
Weiyang College Course:
• Seminar on Science, Technology, and Humanities
Graduate Course:
• Reliability Engineering and Risk Management
International Student Course:
• Managerial Economics
Master of Engineering Management Course:
• Machine Learning
Educational Reform Projects
• Zhenglin Liang, Yan-Fu Li, Xiwen Bai, Reform of Case Studies and Research System in China-related International Engineering Management Master's Course with a Free Exploration Approach
• Yan-Fu Li and Zhenglin Liang, Digital Experimental Teaching Project
Teaching Services
• Weiyang College Class Teacher
• International Master's Program Working Group
• Department of Industrial Engineering Curriculum Reform Team
Supervision
• Currently Supervising 4 doctoral students (1 graduated)
Research Interests
• System Reliability
• Prognostics and Health Management
• Network Resilience
• Risk Analysis
• Machine Learning
• Digital Twins
Journal publication
(Name underline: student supervised by me; *: corresponding author; #: co-first author)
Liang, Z*. and Li, Y.F., 2023. Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks. Reliability Engineering & System Safety, 237, p.109335.
Liang, Z*., Jiang, C., Sun, M., Xue, Z. and Li, Y.F., 2023. Resilience Analysis for Confronting the Spreading Risk of Contagious Diseases. Reliability Engineering & System Safety, p.109525.
Zeng, J. and Liang, Z*., 2023. A dynamic predictive maintenance approach using probabilistic deep learning for a fleet of multi-component systems. Reliability Engineering & System Safety, p.109456.
Guo, C. and Liang, Z*., 2022. A predictive Markov decision process for optimizing inspection and maintenance strategies of partially observable multi-state systems. Reliability Engineering & System Safety, 226, p.108683.
Zeng, J. and Liang, Z*., 2022. A deep Gaussian process approach for predictive maintenance. IEEE Transactions on Reliability.
Zhao, X., Liang, Z*., Parlikad, A.K. and Xie, M., 2022. Performance-oriented risk evaluation and maintenance for multi-asset systems: A Bayesian perspective. IISE Transactions, 54(3), pp.251-270.
Liang, Z*., Xue, Z., Li, Y.F., Miao, D. and Lin, K., 2022. Resilience: A Pathway Towards High Service Reliability in Telecommunication Networks. Findings.
Guo, C. and Liang, Z*., 2021. Semi-Markovian Maintenance Optimization for Reinforced Concrete Enabled by a Synthesized Deterioration Model. IEEE Transactions on Reliability, 71(4), pp.1577-1589.
Xu, J., Liang, Z*., Li, Y.F. and Wang, K., 2021. Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance. Reliability Engineering & System Safety, 211, p.107592.
Lu, Q., Parlikad, A.K., Woodall, P., Don Ranasinghe, G., Xie, X., Liang, Z., Konstantinou, E., Heaton, J. and Schooling, J., 2020. Developing a digital twin at building and city levels: Case study of West Cambridge campus. Journal of Management in Engineering, 36(3), p.05020004.
Liang, Z*., Liu, B., Xie, M. and Parlikad, A.K., 2020. Condition-based maintenance for long-life assets with exposure to operational and environmental risks. International Journal of Production Economics, 221, p.107482.
Liang, Z*. and Parlikad, A.K., 2020. Predictive group maintenance for multi-system multi-component networks. Reliability Engineering & System Safety, 195, p.106704.
Liu, B., Liang, Z., Parlikad, A.K., Xie, M. and Kuo, W., 2017. Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model. Reliability Engineering & System Safety, Volume 168, Pages 200-209, ISSN 0951-8320
Peng, B., Zhang, F., Liang, J., Ding, L., Liang, Z. and Wu, Q., 2019. Coordinated control strategy for the short-term frequency response of a DFIG-ES system based on wind speed zone classification and fuzzy logic control. International Journal of Electrical Power & Energy Systems, 107, pp.363-378.
Palau, A.S., Liang, Z., Lütgehetmann, D. and Parlikad, A.K., 2019. Collaborative prognostics in social asset networks. Future Generation Computer Systems, 92, pp.987-995.
Liang, Z*. and Parlikad, A., 2018. A Markovian model for power transformer maintenance. International Journal of Electrical Power & Energy Systems, 99, pp.175-182.
Mahani, K#., Liang, Z #., Parlikad, A.K. and Jafari, M.A., 2018. Joint optimization of operation and maintenance policies for solar-powered microgrids. IEEE Transactions on Sustainable Energy, 10(2), pp.833-842.
Liang, Z*., Parlikad, A.K., Srinivasan, R. and Rasmekomen, N., 2017. On fault propagation in deterioration of multi-component systems. Reliability Engineering & System Safety, 162, pp.72-80.
Liang, Z*. and Parlikad, A.K., 2015. A condition-based maintenance model for assets with accelerated deterioration due to fault propagation. IEEE Transactions on Reliability, 64(3), pp.972-982.
Liang, Z. and Parlikad, A.K., 2015. A tiered modelling approach for condition-based maintenance of industrial assets with load sharing interaction and fault propagation. IMA Journal of Management Mathematics, 26(2), pp.125-144.
Book chapter
Liu, B., Liang, Z., Parlikad, A.K., Xie, M. and Kuo, W., 2020. Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model. Value Based and Intelligent Asset Management: Mastering the Asset Management Transformation in Industrial Plants and Infrastructures, pp.211-231.
Conference
Xue, Z. and Liang, Z*., 2022, December. Resilience Analysis under the Impact of Cell Failures in the Practical Telecommunication base Station Networks. In 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) (pp. 778-779). IEEE.
Guo, C., Liang, Z*., Zeng, J., Song, M. and Xue, Z., 2021, December. A predictive Hidden semi-Markov Model for bridges subject to chloride-induced deterioration. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 751-756). IEEE.
Zeng, J., Liang, Z*., Guo, C., Song, M. and Xue, Z., 2021, December. A Gaussian Process Approach for Predictive Maintenance. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 745-750). IEEE.
Xue, Z., Liang, Z*., Song, M., Guo, C. and Zeng, J., 2021, December. Base station network alarm streams modeling and prediction based on Cox proportional hazard model and copula. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 767-772). IEEE.
Song, M., Liang, Z*., Xue, Z., Guo, C. and Zeng, J., 2021, December. Remaining Useful Life Prediction for Multi-state Stochastic Deterioration Assets Based on Phase-type Distributions. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 773-777). IEEE.
Guo, C. and Liang, Z*., 2021, October. A Semi-Markov Maintenance Model for Bridges Synthesizing with Four Types of Uncertainties. In 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing) (pp. 1-5). IEEE.
Parlikad, A.K. and Liang, Z., 2012. Condition Based Maintenance for Complex Engineering Assets: A Multi-Layered Modelling Approach. IFAC Proceedings Volumes, 45(31), pp.73-78.
Research Projects
Principal Investigator
• 2020-Present: A Smart Facility Asset Management for Serving the Macro-characteristic of Networks, Project Category: National natural science foundation of China - Youth Fund Project
• 2021-2022: Resilience Analysis and Optimization of Large-Scale Complex Networks Based on Spatiotemporal Data, Project Category: Departmental discipline construction Project
Participated
• 2022-Present: System Engineering Theory and Application of Smart Interconnected Systems, Project Category: National natural science foundation of China – Fundamental Science Center Project
• 2020-Present: Research on Network Reliability Operation and Maintenance, Project Category: Commissioned Project by Enterprises and Institutions - Huawei
• 2020-Present: Modeling Technology Cooperation Project for Telecommunication Network Operation and Maintenance System, Project Category: Commissioned Project by Enterprises and Institutions - Huawei
• 2020-Present: Intelligent Maintenance System Planning for Wheelsets, Project Category: Commissioned Project by Enterprises and Institutions - Zhiqi
• 2018-2019: Digital Built Britain, Project Category: HM Department of Business, Energy & Industrial Strategy
• 2016-2018: Centre for Smart Infrastructure and Construction, Project Category: Engineering and Physical Sciences Research Council (EPSRC), Innovate UK
• 2016-2018: Gas Turbine Fault Prediction, Project Category: Commissioned Project by Enterprises and Institutions - Siemens
• 2015-2016: High-Speed Train Maintenance and Management, Project Category: Commissioned Project by Enterprises and Institutions – Hitachi
Service
On-Campus
• Assistant Dean at the Institute Quality and Reliability, Tsinghua University
• Scientific Research Management and Service Working Group, Department of Industrial Engineering
• Coordination Team for IE Seminar
• Industrial Engineering Department Summer Camp examiner
Off-Campus
• Secretary of the IEEE Reliability Society Beijing Section Chapter
• Workshop Co-Chair for the IEEE Software Quality, Reliability, and Security International Conference (2020-2023), Program Committee Member (2023)
• Committee Panel Member for the European Conference On Safety And Reliability (2020-2021)
• Program Committee Member for The 10th Asia-Pacific International Symposium on Advanced Reliability and Maintenance
• Group 1 Leader and Host for Communication Meeting organized the National Natural Science Foundation of China Management Science and Engineering Discipline Youth Fund Project
• Reviewer for multiple international journals in related fields
