talks

Conference Talks

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2023 USNCCM17 (Albuquerque, NM), A Neural Operator for Parametric Geometries
2023 PASC Conference (Online), A Novel Deep Learning Model for Patient-Specific Computational Modeling of Cardiac Electrophysiology
2023 Heart Rhythm 2023 (New Orleans, LA), A Novel Deep Learning Model for Patient-Specific Computational Modeling of Cardiac Electrophysiology
2022 USNCTAM (Austin, TX), Multiscale Modeling with Operator-Learning Neural Networks
2022 USNCTAM (Austin, TX), Imaging-Driven Modeling of Dissection Progression in the Aorta
2021 IMECE (Online) Predicting Injection-caused Delamination in Aortic Walls using DeepONet
2021 USNCCM16 (Online), Data-Driven Modeling of Injection-Caused Delamination on Aortic Walls Using DeepONet
2020 APS DFD (Online), Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural Networks
2020 Mach Conference (Accepted) Physics-informed neural networks for solving forward and inverse problem with phase field models
2019 APS DFD (Seattle, WA) Comparison of Multi-scale Models for Blood Flow in Zebrafish Brain, APS Division of Fluid Dynamics
2019 BMES Annual Meeting (Philadelphia, PA) (Poster) Numerical Study on Hemodynamics of Brain Vasculature in Early Zebrafish Life
2019 SIAM CSE, (Spokane, WA) Parameter Inference and Uncertainty Quantification in Simulating Blood Flow in Coronary Arteries

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Apr. 2023, CIS/MINDS seminar, Johns Hopkins University
Feb. 2023, School of Medicine/Whiting School of Engineering Research Retreat, Invited Lightening Talk, Johns Hopkins University
Oct. 2022, Robert J. Melosh Competition, Civil \& Environmental Engineering, Duke University
Sep. 2022, Complex Fluids and Soft Matters (CFSM) seminar series, Department of Mechanical Engineering, Clemson University (Online)
Jan. 2022, Department of Biomedical Engineering, Johns Hopkins University, Multiscale Modeling and Machine Learning for Biomedicine (Online)
Aug. 2021, Northwestern Polytechnical University (Online), : Physics-Informed Machine Learning and its Application in Multiscale Modeling
Aug. 2021, Parallel-in-Time (PinT) Workshop (Online), Time parallel in PDEs using machine learning tools
Apr. 2021, NVIDIA GTC (Online), Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural Networks