Our Computational Scientific Machine Learning (CSML) Lab is dedicated to transformative
computational and data-driven approaches to the predictive forward/inverse modeling, and control of complex large-scale nonlinear dynamic systems (e.g., fluid flows),
with the ultimate goal of accelerating scientific discovery.
Our computing resources include computational awards on supercomputing clusters: RPI-AiMOS, Purdue Anvil, NERSC Perlmutter, TAMU Faster, NREL Kestral, New York State Empire-AI Beta system, and a private workstation of 3xA6000 48GB GPUs. Besides, each Ph.D. student is equipped with a high-end workstation with a 3090 24GB GPU.





- 05/2025 Published a paper titled on parametric surrogate modeling for heat transfer with UQ in Progress in Nuclear Energy [Paper].
- 06/2025 Received Google Research Scholar Award [Link]
- 05/2025 We released a preprint titled "UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows" [Paper]. This work is leaded by Sicheng He's group at UTK.
- 05/2025 Ph.D. student Ling and Nithin released a preprint titled "Foam-agent: Towards automated intelligent cfd workflows" [Paper].
- 11/2024 Co-advised Ph.D. student Isaac presented a work on data-driven surrogate models that accelerate fluid solver at APS-DFD 2024 [Abstract].
- 11/2024 Ph.D. student Weichao presented a work on meshless surrogate models with stability guarantees at APS-DFD 2024 [Abstract].
- 11/2024 Ph.D. student Nithin presented a work on convergence guaranteed autoencoder at APS-DFD 2024 [Abstract][Paper].
- 09/2024 Published a co-author paper on distributed deep compression of deep sea wavefield data on edge device on Journal of Geophysical Research: Machine Learning and Computation [Paper]
- 04/2025 Ph.D. student Shahriar released a work on noise-robust Koopman operator with physics-informed observables [Paper].
- 07/2024 Presented a work on meshless surrogate models with stability guarantees at WCCM 2024
- 07/2024 Presented a conference paper on learning parametric Koopman operator for hypersonic nonequilibrium flows at AIAA Aviation 2024. [Paper]
- 07/2024 Co-advised student Soha presented a conference paper on learning preconditioner for incomplete LU factorization at AIAA Aviation 2024. [Paper]
- 03/2024 Published a paper on the role of symmetry in lifting and reconstruction of Koopman operator with multiple invariant sets is published on Nonlinear Dynamics [Paper].
- 03/2024 Published a co-author paper on using physics-informed neural network (PINN) for solving plasma physics with different geometry on Physics of Plasmas [Paper][Editor Pick].
- 12/2023 Published a paper on The Journal of Open Source Software on a modular implementation of learning Koopman operator from data [Paper][Code]
- 11/2023 Ph.D. student Nithin presented a work on differentiable finite-element solver using Nvidia Warp at APS-DFD 2023 [Abstract]
- 01/2023 Published a paper meshless representation learning for PDE fields on Journal of Machine Learning Research [Paper]
- Google Research Scholar Program 2025
- MICDE Fellowship 2018
- Chinese Outstanding Student Abroad Award (Ministry of Education of China, 500 globally) 2018
- Doctoral Fellowship 2016
- Rackham Summer Award 2015
- Richard and Eleanor Towner Prize for Outstanding Ph.D. Research (Department Nominee) 2019
- SIAM Student Travel Grant 2017
- Best Undergraduate Thesis in Fluid Mechanics (School of Aeronautical Engineering, Beihang University) 2013
- First Prize, College Mathematical Competition (2/1000, Beihang University) 2011