2020    ASME Fellow, ASME 

2019    Best Instructor of Natioanal-level Student Innovation Projects, Shanghai Jiao Tong University (2019)

2016    KoGuan Ten Best Teacher Award, Shanghai Jiao Tong University (2016)

2015    Jason‐Daida Teaching Award, UM-SJTU Joint Institute, SJTU (2016)

2015    Shanghai Jiao Tong University Teaching Achievement 1st Prize, Shanghai Jiao Tong University (2015)

2014    Service Excellence Award, UM-SJTU Joint Institute, SJTU

2013    Best Teacher 2nd Award, Shanghai Jiao Tong University 

2013    Shanghai Teaching Achievement 1st Prize, Shanghai Municipal Education Commission

2013    Jason‐Daida Teaching Award, UM-SJTU Joint Institute, SJTU

2009    ASME/FORD Best Paper Award, 35th ASME Design Automation Conference, San Diego, CA, USA 

2007    Best Ph.D. Dissertation Award, Mechanical Engineering, University of Maryland, College Park, MD 

2007    Member of the Honor Society of Phi Kappa Phi, University of Maryland, Chapter 22 

1. Qu, J.B., Wang, Y.J., Zheng, R.X.*, Li, M., Zhang, D., A novel sequential estimation framework for battery state of health and remaining useful life based on sparse and limited data, Journal of Energy Storage, 2024 (accepted, SCI, IF:8.9)

2. Wang, Y.J., Zheng, R.X.*, M., Li, 2024, Risk Assessment of Fire Safety in Large-Scale Commercial and High-Rise Buildings Based on Intuitionistic Fuzzy and Social Graph, Journal of Building Engineering, 89: 109165. https://doi.org/10.1016/j.jobe.2024.109165 (SCI, IF: 6.70)

3. Hu Z, Fang J, Zheng R.*, et al. Efficient model predictive control of boiler coal combustion based on NARX neutral network. Journal of Process Control, 2024, 134: 103158.(SCI,IF:4.2)

4. Wang, Y.J., Zheng, R.X.*, Hou, L.Z., Li, M., Li, W.M., 2023, A novel IoT-based framework with Prognostics and Health Management and short term fire risk assessment in smart firefighting system, Journal of Building Engineering, 78: 107624. https://doi.org/10.1016/j.jobe.2023.107624 (SCI, IF: 6.70)

5. Wang, T., Li, M.*, Zheng, R. et al. Towards continual knowledge transfer in modeling manufacturing processes under non-stationary data streams. Appl Intell53, 29393–29413 (2023). https://doi.org/10.1007/s10489-023-05034-0 (SCI, IF: 5.3)

6. Zheng, X.K., Cai, R.Z.*, Li M., and Zhang J. Discrete Mode Observability of Single-Input Multiple-Output Switched Linear Systems With Unknown Inputs:,An Algebraic Approach. Mechanical Systems and Signal Processing (MSSP). Under Preparation. (SCI, IF:8.934)

7. Wang, Y., Zheng, X.K., Wang, L., Lu, G., Jia, Y., Qiu, Y., Li, M.*, 2023, Edge-computing Based Soft Sensors with Local Finite Impulse Response Models for Vehicle Wheel Center Loads Estimation Under Multiple Working Conditions. Control Engineering Practice. In production. (SCI, IF:4.057)

8. Wang, Y., Zheng, X.K., Wang, L., Lu, G., Jia, Y., Li, K., Li, M.*, 2023 Sensor Fault Detection of Vehicle Suspension Systems based on Transmissibility Operators and Neyman-Pearson Test. Reliability Engineering & System Safety. 232(4): 109067. https://doi.org/10.1016/j.ress.2022.109067  (SCI, IF:7.247)

9. Zheng, X.K., Cai, R.Z.*, Xiao S.X, Qiu Y., Zhang J., and Li M., 2023, Primary-Auxiliary Model Scheduling Based Estimation of the Vertical Wheel Force in a Full Vehicle System. Mechanical Systems and Signal Processing (MSSP). 187(2023): 109946. https://doi.org/10.1016/j.ymssp.2022.109946. (SCI, IF:8.934)

10. Zheng, X.K., Wang, Y., Wang, L., Cai, R.Z, and M. Li*, 2023, Data-Driven Sensor Selection for Signal Estimation of Vertical Wheel Forces in Vehicles,  Journal of Computing and Information Science in Engineering. 23(3): 031010. https://doi.org/10.1115/1.4055514. (SCI, IF:2.300)