Special Session 107: Recent Advances in Data Assimilation with Machine Learning
Organizer(s): Nan Chen , Jinlong Wu , Yeyu Zhang

Parallel Session 17 :: Friday, 12/20, 8:00-9:30                  Conference Hall B (B)
8:00-8:30	Jinchao Feng (Great Bay University, Peoples Rep of China)  Data-driven model selections of interacting particle dynamics via Gaussian processes with uncertainty quantification

8:30-9:00

Yu Chen (Shanghai University of Finance and Economics, Peoples Rep of China)  A mechanism learning based method for data filling of physical fields

9:00-9:30

Yiwen Lin (Shanghai Jiao Tong University, Peoples Rep of China)  A random reconstruction method in optical tomography

Parallel Session 18 :: Friday, 12/20, 14:00-16:00                  Conference Hall B (B)
14:00-14:30	Di Qi (Purdue University, USA)  Reduced-Order Models for Data Assimilation of Multiscale Turbulent Systems

14:30-15:00

Yeyu Zhang (Shanghai University of Finance and Economics, Peoples Rep of China)  An Efficient Multiscale Stochastic Reduced-Order Model and Nonlinear Filtering Scheme for Two-Dimensional Stratified Turbulence

15:00-15:30

Marios Andreou (University of Wisconsin-Madison, USA)  An Efficient Online Smoother and Sampling Algorithm for Partially Observed Nonlinear Dynamical Systems

15:30-16:00

Yingshuo Peng (Shanghai University of Finance and Economics, Peoples Rep of China)  Inverse Transfer and Coherence in Rotating Stratified Turbulence with Clouds and Phase Transitions

Parallel Session 19 :: Friday, 12/20, 16:15-18:45               Conference Hall B (B)
16:15-16:45	Liu Liu (Chinese University of Hong Kong, Peoples Rep of China)  An Asymptotic-Preserving Neural Network approach for the Boltzmann equation with uncertainties

16:45-17:15

Yu Feng (Great Bay University, Peoples Rep of China)  A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws