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

    3. Geng, Ju, Kramer and Wang. Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference, CMAME, 2025

    Yuwei's collaboration leads to papers without my co-authorship：

    4. Geng, Burkovska, Ju, Zhang, and Gunzburger, An end-to-end deep learning method for solving nonlocal Allen–Cahn and Cahn–Hilliard phase-field models, CMAME, 2025.

    5. Rafid, Yin, Geng, Liang, Bao, Ju, and Zhang, A Scalable Training-Free Diffusion Model for Uncertainty Quantification, In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE, 2024.

    Awards: Outstanding First Year Graduate Student in ACM (2022); SPARC Graduate Research Grant (2024); George Johnson Fellowship in Computational Mathematics (2024); Outstanding Graduate Student (2025)

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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

    Awards: Outstanding First Year Graduate Student in ACM (2025)


Ungraduate Students

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    Cody Coleman

    Projects: Tensor Decomposition with Applications

    Awards: Wyman L. Williams Scholarship (2025); Capstone Scholars Magellan Apprentice grant (12/13/2024 - 12/15/2025)

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    Peyton Matheson

    NSF-RTG REU 2023

    Projects: Apative Reduced-Order Modeling

    Awards: Victor W. Laurie Undergraduate Research Scholarship (2025)

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    Cindy Van

    NSF-RTG REU 2024

    Projects: Reduced-Order Models with Adaptive Sampling

    Awards: Capstone Scholars Magellan Apprentice (4/27/2025 - 5/15/2026)

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    Zachary Valsecchi

    Projects: Reduced-Order Models with Adaptive Sampling

    Awards: SCHC Research Grant (2025)


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)

    Undergraduate Students:     Widny Seizeme (Magellan Scholar, 5/1/2023 - 12/31/2024)