1995－1998, ME School Hunan University, Master
1991－1995, ME Department Hunan University, Bachelor

2023- Pres., Acting Dean, Global Institute of Future Technology, Shanghai Jiao Tong University

2017 - Pres., Tenured Professor, ME School, Shanghai Jiao Tong University

2015 - 2023, Dean Assistant, Office of Research Management, Shanghai Jiaotong University

2010－Pres., Professor, ME School, Shanghai Jiao Tong University

2009－2010, Dean Assistant, ME School, Shanghai Jiao Tong University

2006－2010，Deputy Director, Shanghai Key Lab for Auto Body Digital Engineering

2005－2005，Visiting Scholar, WuMRC, University of Michigan, USA

2004－2010，Associate Professor, BMTC, ME School, Shanghai Jiao Tong University

2001－2003，Lecturer, BMTC, ME School, Shanghai Jiao Tong University

• Intelligent Manufacturing, including development of intelligent manufacturing equipment, digital technology, machine tool.

• Manufacturing Quality Control, including dimiension measurement, data analysis, diagnosis and control.

• Assembly Technology development, including assembly stucture, variation modelling and tolerance design.

• Industrial Application: Automobile body, Airplane body, High-speed train body, etc.

2019, First prize of the Guangxi Science and Technology Progress Award
2017, First prize of the Shanghai Science and Technology Progress Award
2015, First prize of the Science and Technology Progress Award of China Automotive Industry
2013, Second prize of the Guangxi Science and Technology Progress Award
2011, Second prize of the National Science and Technology Progress Award
2010, First prize of the National Science and Technology Progress Award of Education Ministry of China
2008, First prize of the Shanghai Technological Invention Award
2005, Nomination award of the National Science and Technology Progress of Education Ministry of China
2002, Second prize of the Shanghai Science and Technology Progress Award
2001, First prize of the Shanghai Science and Technology Progress Award

• *Jin S, Liu C, Lai X, · Li F, He B, Bayesian network approach for ceramic shell deformation fault diagnosis in the investment casting process, International Journal of Advanced Manufacturing Technology, 2016

• Ding S, *Jin S, Microbulging extrusion of aluminum alloy to fabricate micro/meso features for heat pipes, International Journal of Advanced Manufacturing Technology, 2016

• *Jin S, Chen H, Li Z, Lai X. , A small displacement torsor model for 3D tolerance analysis of conical structures. , Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015

• *Chen H; Jin S; Li Z; Lai X. , A modified method of the unified Jacobian-Torsor model for tolerance analysis and allocation, International Journal of Precision Engineering and Manufacturing, 2015

• Chen H, *Jin S, Li Z, Lai X. , A solution of partial parallel connections for the unified Jacobian-Torsor model. , International Journal of Advanced Manufacturing Technology, 2015

• Liu C, *Jin S, Lai X, He B, Li F. , Influence of complex structure on the shrinkage of part in investment casting process, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacturing, 2015

• Liu C, * Jin, S, Lai X, Wang Y. , Dimensional variation stream modeling of investment casting process based on state space method, Mechanism and Machine, 2015

• Liu C; Jin S; Lai X; Li F, Molding and optimization of injection conditions on shrinkage for thin-walled wax part using RSM-GA method., Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2015

• Liu C, *Jin S, Lai X, He B, Li F., The assembly variation modeling for the rear casing wax part based on polar coordinate, ASME 2015 International Manufacturing Science and Engineering Conference, 2015

• Chen H, *Jin S, Li Z, Lai X., A comprehensive study of three dimensional tolerance analysis methods., Computer-Aided Design, 2014

Member, State Key Laboratory of Mechanical Systems and Vibration
Committee member, China Automobile Engineering Society Manufacturing Branch,
Visiting Researcher, Research Center of National Commercial Aircraft Manufacturing Engineering Technology

Course Name: Statistical Quality Control (SQC)
Teaching Target: Undergraduate / Graduate
Credit Hour: 54
Credit: 3
Course Description: to make students master statistical quality control of industrial products, such as automotive, aircraft, trains, machine tools, etc. Students can apply statistical quality control method to analyze and solve practical manufacturing quality problems and develop their skills, proficiency in using statistical software to calculate and analyze, to undertake the appropriate professional technical work, scientific research and management efforts, important knowledge and skills base.