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gaohan1234 committed Jan 8, 2024
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Plain-Academic by Vasilios Mavroudis
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<p> 科研好像流沙 我不掙扎 隨它去吧 我不害怕 I am now working with <a href="https://seas.harvard.edu/person/petros-koumoutsakos">Prof. Petros Koumoutsakos</a> at Harvard University. I obtained my Ph.D. degree in Aerospace and Mechanical Engineering at University of Notre Dame (2018 summer to 2023 summer) advised by <a href="http://sites.nd.edu/jianxun-wang/">Prof. Jian-Xun Wang</a>.
I am also very fortunate to work with <a href="https://mjzahr.github.io/">Prof. Matthew J. Zahr</a>.
I received my master’s degree in Mechanical Engineering & Materials Science (MEMS) at Washington University in St. Louis (WUSTL) advised by
<a href="https://engineering.wustl.edu/faculty/Ramesh-Agarwal.html">Prof. Ramesh Agarwal</a> and bachelor’s degree in Shanghai University of Electric Power where I was having fun.</p>
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<div style="font-family: 'Oswald', sans-serif; font-size: 32px;"><b>Han Gao</b></div><br>
<p><b>[email protected]</b><br>
<p>Applied Mathematics at Harvard School of Engineering<br>
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<a target="_blank" href="https://scholar.google.com/citations?user=iYlVxoYAAAAJ&hl=en">Han Gao</a>, [email protected]<br>
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<dd><a href=https://scholar.google.com/citations?user=ozQz4CQAAAAJ&hl=zh-CN>Google Scholar</a> </dd>
<dd><a href=https://www.linkedin.com/in/%E6%B6%B5-han-%E9%AB%98-gao-87038a143/>LinkedIn</a></dd>
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I am now working with <a href="https://seas.harvard.edu/person/petros-koumoutsakos">Prof. Petros Koumoutsakos</a> at Harvard University. I obtained my Ph.D. degree in Aerospace and Mechanical Engineering at University of Notre Dame (2018 summer to 2023 summer) advised by <a href="http://sites.nd.edu/jianxun-wang/">Prof. Jian-Xun Wang</a>.
I am also very fortunate to work with <a href="https://mjzahr.github.io/">Prof. Matthew J. Zahr</a>.
I received my master’s degree in Mechanical Engineering & Materials Science (MEMS) at Washington University in St. Louis (WUSTL) advised by
<a href="https://engineering.wustl.edu/faculty/Ramesh-Agarwal.html">Prof. Ramesh Agarwal</a> and bachelor’s degree in Shanghai University of Electric Power where I was having fun.
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<h2 id="publications">Publications</h2>

<strong>Journal papers</strong><br/>
<ul>
<a href=https://www.sciencedirect.com/science/article/abs/pii/S0045782521007076>Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems (Computer Methods in Applied Mechanics and Engineering)</a> Han Gao, Matthew J Zahr, Jian-Xun Wang
</ul>

<ul>
<a href=https://pubs.aip.org/aip/pof/article/33/7/073603/1076765>Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels (Physics of Fluids)</a> Han Gao, Jian-Xun Wang
</ul>

<ul>
<a href=https://link.springer.com/article/10.1007/s00466-021-01979-6>A Bi-fidelity ensemble kalman method for PDE-constrained inverse problems in computational mechanics (Computational Mechanics)</a> Han Gao, Jian-Xun Wang
</ul>

<ul>
<a href=https://www.sciencedirect.com/science/article/abs/pii/S0021999120308536>PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain (Journal of Computational Physics)</a> Han Gao, Luning Sun, Jian-Xun Wang
</ul>

<ul>
<a href=https://www.sciencedirect.com/science/article/abs/pii/S0167278919305573>Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning (Physica D: Nonlinear Phenomena)</a> Han Gao, Jian-Xun Wang, Matthew J Zahr
</ul>

<ul>
<a href=https://www.sciencedirect.com/science/article/abs/pii/S0045782520302310>A bi-fidelity surrogate modeling approach for uncertainty propagation in three-dimensional hemodynamic simulations (Computer Methods in Applied Mechanics and Engineering)</a> Han Gao, Xueyu Zhu, Jian-Xun Wang
</ul>

<ul>
<a href=https://www.sciencedirect.com/science/article/abs/pii/S004578251930622X>Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data (Computer Methods in Applied Mechanics and Engineering)</a> Luning Sun, Han Gao, Shaowu Pan, Jian-Xun Wang
</ul>

<ul>
<a href=https://www.sciencedirect.com/science/article/abs/pii/S004578251930622X>Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data (Computer Methods in Applied Mechanics and Engineering)</a> Luning Sun, Han Gao, Shaowu Pan, Jian-Xun Wang
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/full/10.2514/1.C035086>Study of Round Jet Impingement in Proximity of Ground and Water Surface (Journal of Aircraft)</a> Han Gao, Quanzhong Liu, Qiulin Qu, Ramesh K Agarwal
</ul>


<strong>Conference papers</strong><br/>
<ul>
<a href=https://openreview.net/attachment?id=2JtwuJtoa0&name=pdf>Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model (NeurIPS 2023)</a> Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu
</ul>

<ul>
<a href=https://proceedings.mlr.press/v198/gao22a.html>PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations (Proceedings of the First Learning on Graphs Conference)</a> Han Gao (co-first), Xu Han (co-first), Jiaoyang Huang, Jian-Xun Wang, Liping Liu
</ul>

<ul>
<a href=https://openreview.net/forum?id=XctLdNfCmP>Predicting Physics in Mesh-reduced Space with Temporal Attention (ICLR 2022)</a> Xu Han (co-first), Han Gao (co-first), Tobias Pfaff, Jian-Xun Wang, Liping Liu
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/abs/10.2514/6.2020-2038>Numerical Investigation of a Submerged Water Jet Impinging at Various Angles on Ground (AIAA Scitech 2020 Forum)</a> Xiang Zhang, Ramesh K. Agarwal, Han Gao and Ling Zhou
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/epdf/10.2514/6.2019-3643>Numerical Simulation of Fountain formation due to Twin-Jet impingement on Ground (AIAA Scitech 2019 Forum)</a> Xiang Zhang, Ramesh K. Agarwal, Han Gao and Ling Zhou
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/abs/10.2514/6.2019-2305>Numerical Simulation of the Cavitation Flow around a Hydrofoil Based on a Coupled CFD-PBM Model (AIAA Scitech 2019 Forum)</a> Quanzhong Liu, Kefan Xu, Han Gao and Ramesh K. Agarwal
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/abs/10.2514/6.2019-1099>Numerical Study of a Hovering Helicopter Rotor Blade in Ground Effect (AIAA Scitech 2019 Forum)</a> Han Gao and Ramesh K. Agarwal
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/abs/10.2514/6.2018-3222>Numerical Investigation of Cavitation Characteristics of a Liquid Oxygen Turbo Pump (AIAA Aviation 2019 Forum)</a> Quanzhong Liu, Lujia Gong, Han Gao and Ramesh K. Agarwal
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/abs/10.2514/6.2018-4257>Numerical Study of Round Jet Impingement in Proximity of Ground and a Water Surface (AIAA Aviation 2018 Forum)</a> Han Gao, Quanzhong Liu, Qiulin Qu and Ramesh K. Agarwal
</ul>

<ul>
<a href=https://arc.aiaa.org/doi/abs/10.2514/6.2018-4038>CFD Simulations of Two Rectangular Water Jets Impinging on a Water Pool (AIAA Aviation 2018 Forum)</a> Han Gao, Xu Han, Quanzhong Liu and Ramesh K. Agarwal
</ul>

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