Graduate Students

    This is my image.

    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.

    Sabrina Rashid

    Projects: Model Order Reduction

    My third image.

    Anu Vasudevan

    Co-advised with Prof. Lili Ju

    Projects: Scientific Machine Learning


Ungraduate Students

    My third image.

    Widny Seizeme

    Magellan Scholar

    Projects: Structure-Preserving Reduced-Order Models

    This is my second image.

    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


Alumni

    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)