Graduate Students

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    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. JCP, 2023

    2. Geng, Singh, Ju, Kramer and Wang. Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure, CMAME, 2024

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    Sabrina Rashid

    Projects: Model Order Reduction on Nonlinear Manifold

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    Anu Vasudevan

    Co-advised with Prof. Lili Ju

    Projects: Shape Optimization

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    Jasdeep Singh

    Project: Adaptive Reduced-Order Modeling

    NSF-RTG REU Summer Program 2022

    Undergraduate research in 2023-2024: 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, CMAME, 2024


Ungraduate Students

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    Widny Seizeme

    Magellan Scholar

    Projects: Structure-Preserving Reduced-Order Models

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    Cody Coleman

    Projects: Tensor Decomposition with Applications

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    Peyton Matheson

    Projects: Apative Reduced-Order Modeling

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    Cindy Van

    Projects: Reduced-Order Models with Adaptive Sampling

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    Zachary Valsecchi

    Projects: Reduced-Order Models with Adaptive Sampling


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)