Mengmeng Zhu
Assistant Professor
- Phone: 919.515.3504
- Email: mzhu7@ncsu.edu
- Office: 3311 Textiles Complex
- Website: https://sites.textiles.ncsu.edu/mzhu/
Mengmeng Zhu is an Assistant Professor in the Department of Textile Engineering, Chemistry and Science. She is also an Associate Faculty in the Operations Research Graduate Program at NC State University. She also has over six years of experience in industries including manufacturing, warehousing, and distribution center.
Research Interests
Zhu’s research interests lie in computational data analytics and mathematical modeling for system reliability, resilience, and health monitoring and control. The applications of her research are on complex systems, including smart health with wearable and implantable devices, energy, the Internet of Things, transportation, and software development. Her teaching interests include quality and reliability engineering, statistics, data analytics, and applied operations research.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Industrial and Systems Engineering | Rutgers University | 2018 |
| MSS | Master of Science in Statistics | Rutgers University | 2016 |
| BSIE | Bachelor of Science in Industrial Engineering | Rutgers University | 2015 |
Honors and Awards
- 2019 | Best Paper Award, ISSAT International Conference on Reliability and Quality
- 2018 | Best Student Paper Award, ISSAT International Conference on Reliability and Quality
- 2017 | Award for Outstanding Self-Financed Students Abroad, Chinese Government
Publications
- Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing
- Choi, J., Zhu, M., Kang, J., & Jeong, M. K. (2024, March 16), ANNALS OF OPERATIONS RESEARCH. https://doi.org/10.1007/s10479-024-05902-z
- Lifetime prediction and maintenance assessment of Lithium-ion batteries based on combined information of discharge voltage curves and capacity fade
- Wang, R., Zhu, M., & Zhang, X. (2024, March 15), JOURNAL OF ENERGY STORAGE, Vol. 81. https://doi.org/10.1016/j.est.2023.110376
- Modeling Human-Machine Interaction System Reliability with Multiple Dependent Degradation Processes and Situation Awareness
- Hu, Y., Wang, R., Zhu, M., & Chen, K. B. B. (2023, July 19), INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, Vol. 7. https://doi.org/10.1142/S0218539323500146
- Lithium-ion battery remaining useful life prediction using a two-phase degradation model with a dynamic change point
- Wang, R., Zhu, M., Zhang, X., & Pham, H. (2023), JOURNAL OF ENERGY STORAGE, 59. https://doi.org/10.1016/j.est.2022.106457
- Shock-Loading-Based Reliability Modeling with Dependent Degradation Processes and Random Shocks
- Wang, R., & Zhu, M. (2022), INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 29(03). https://doi.org/10.1142/S0218539322500024
- A Random-Field-Environment-Based Multidimensional Time-Dependent Resilience Modeling of Complex Systems
- Zhu, M., Huang, X., & Pham, H. (2021), IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 8(6), 1427–1437. https://doi.org/10.1109/TCSS.2021.3083515
- A new framework of complex system reliability with imperfect maintenance policy
- Zhu, M. (2022), ANNALS OF OPERATIONS RESEARCH, 312(1), 553–579. https://doi.org/10.1007/s10479-020-03852-w
- A generalized multiple environmental factors software reliability model with stochastic fault detection process
- Zhu, M., & Pham, H. (2022), ANNALS OF OPERATIONS RESEARCH, 311(1), 525–546. https://doi.org/10.1007/s10479-020-03732-3
- An Empirical Study of Factor Identification in Smart Health-Monitoring Wearable Device
- Zhu, M., & Pham, H. (2020), IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 7(2), 404–416. https://doi.org/10.1109/TCSS.2020.2967749
- A Novel System Reliability Modeling of Hardware, Software, and Interactions of Hardware and Software
- Zhu, M., & Pham, H. (2019), MATHEMATICS, 7(11). https://doi.org/10.3390/math7111049
