GIFT Faculty
Mian Li
Professor,Global Institute of Future Technology, SJTU
Ph.D., University of Maryland
Postdoc., University of Maryland
Office Location :Global Institute of Future Technology, SJTU
Tel :021-54741175
Email :mianli@sjtu.edu.cn
Education

2007,Department of Mechanical Engineering, University of Maryland,Ph.D

2001,Control Engineering, Tsinghua University,M.S

1999,Automation, Tsinghua University,B.S

Work Experience

2022-Pres.,Global Institute of Future Technology, SJTU,Dean Assistant, Professor

2021-2022,UM-SJTU Joint Institute, SJTU,Professor

2016-2021,UM-SJTU Joint Institute, SJTU,Tenured Associate Professor

2014-2016,UM-SJTU Joint Institute, SJTU,Associate Professor

2009-2014,UM-SJTU Joint Institute, SJTU,Associate Professor

2008-2009,University of Maryland, USA,Postdoc Research Associate

Research Fields

Design automation and optimization

Advanced control technology

Data analysis methods and decision making

Honors and Awards

2020,ASME Fellow, ASME

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

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

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

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

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

Selected Publications (10 selected in last 3 years)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Course Taught (Recent 5 Years)

Introduction to Engineering

Design and Manufacturing I & III

Engineering Optimization