![This is my image.](group/Yuwei.png)
Yuwei Geng
Projects: Discrete operator Learning, Reduced-Order Operator Inference
1. Geng, Teng, Wang and Ju. A deep learning method for the dynamics of classic and conservative Allen-Chan equations based on fully-discrete operators. J. Comput. Phy., 2023
2. Geng, Singh, Ju, Kramer and Wang. Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure, Submitted, 2024
![This is my second image.](group/Sabrina.jpeg)
Sabrina Rashid
Projects: Model Order Reduction
![My third image.](group/Anu.jpeg)
Anu Vasudevan
Co-advised with Prof. Lili Ju
Projects: Scientific Machine Learning
![My third image.](group/Widny.jpeg)
Widny Seizeme
Magellan Scholar
Projects: Structure-Preserving Reduced-Order Models
![This is my second image.](group/Jasdeep.jpeg)
Jasdeep Singh
Projects: Reduced-Order Operator Inference
1. Geng, Singh, Ju, Kramer and Wang. Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure, Submitted, 2024
Postdoctoral Fellows:     Rihui Lan (2020-2022, co-mentor), Xucheng Meng (2018-2019, co-mentor),
                                                Thi-Thao-Phuong Hoang (2017-2018, co-mentor)
PhD Students:     Yuankai Teng (2023, co-advisor), Shuai Yuan (2020), Chenfei Zhang (2019, co-advisor)
Master Students:     Megan McKay (2022)