Title: S023 Reduced Order Models, Data Assimilation and Digital Twins

Duration: 2024.7.1-2024.7.14(2 Weeks) 

Campus: Minhang

Course Description

This course aims to introduce the fundamentals and the applications for the development of digital twins from a modelling and simulation (MS) perspective, including model order reduction, data assimilation, and the coupling of reduced mathematical models and data for the assimilation and the development of digital twins. The goal of the course is to provide students with a preliminary understanding of the latest development and applications of Reduced Order Models, Data Assimilation and Digital Twins from the industry perspective.

Highlights

Three days of lectures on the fundamentals of data assimilation;

Three days of lectures on the fundamentals of reduced order modelling;

Three days of lectures on the coupling of reduced mathematical models and data for assimilation and the development of digital twins;

By the end of this 2-week study experience, students should have basic knowledge and understanding of the modelling and simulation of digital twins.

Instructors

Associate Professor Helin Gong

Email: gonghelin@sjtu.edu.cn

Dr. Helin Gong is the Director of Laboratory of Engineering and Scientific Computing and Digital Twins, and an Associate Professor of the Paris Elite Institute of Technology (SPEIT), SJTU. He received his Ph.D. degree from Sorbonne Université in 2018, his M.S. degree from the Nuclear Power Institute of China (NPIC) in 2013, and his B.S. degree from Tsinghua University in China in 2010. Prior to his arrival at SPEIT, he worked in NPIC as a Vice-senior Engineer, and as a deputy project manager of the nuclear energy software office at NPIC. He won Second Class Honors in the Progress of Science and Technology Prize of Sichuan Province and Second Class Honors in the Progress of Science and Technology Prize of the China Nuclear Energy Association. He was the project leader of a project supported by the Young Scientists Fund of the Natural Science Foundation of China (NSFC)and by the Natural Science Foundation of Shanghai.

Assessment

Attendance: 20%

Participation in discussion: 20%

Small projects: 60%

Contact

Program Director: Associate Professor Helin Gong (gonghelin@sjtu.edu.cn)

Program Coordinator: Ms. Sinan Zhu(sinan.zhu@sjtu.edu.cn)