Faculty

Institution

Unit

Venue

Shaowu Pan

Assistant Professor

Rensselaer Polytechnic Institute

Affiliations

School of Engineering

Department of Mechanical, Aerospace and Nuclear Engineering

Shaowu Pan is currently serving as a Mechanical, Aerospace And Nuclear Engineering Assistant Professor at Rensselaer Polytechnic Institute.

Honors

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Experiences

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Education

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Shaowu Pan

Rensselaer Polytechnic Institute

Assistant Professor

You can click a keyword to filter the displayed items

applied mathematics neural network (machine learning) machine learning data science scientific computing deep learning fluid dynamics computational intelligence nonlinear dynamics nonlinear systems nonlinear analysis dynamical systems fluid flow mathematics fluid mechanics machine learning research aerospace engineering computational fluid dynamics numerical simulations nonlinear science turbulence modeling shock waves physic aware machine learning model optimization convolutional neural networks boundary layers flow physics compressible flows nonlinear system identification autoencoders neural computation numerical algorithms automatic control unsteady flows nonlinear time series nonlinear process fluid science turbulent flow heat transfer pde-constrained optimization system dynamics dimensionality reduction 3d imaging nonlinear dimensionality reduction geometric learning loss function surrogate modeling physics-informed neural network combustion flame combustion science computational statistics automotive aerodynamics kinetics (physics) controllability linear control time delay systems linear systems hydrogen combustion supersonic combustion turbulent flame data-driven prediction sparse representations reconstruction techniques system identification fluid flows physics-constrained deep learning neural network stiff chemical kinetics data-driven discovery truncated dynamics closure models time-delay embedding condition number minimal time-delays decay rate pressure-dilatation coupling dilatational velocity fluctuations computational engineering data-driven control scientific machine learning high-dimensional nonlinear systems aerodynamics physics-informed machine learning computational mechanics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reduction. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2025)

Nithin SomasekharanShaowu Pan

information fusioncomputer sciencedeep learningtime seriessurrogate modellingmodel compressionneural network (machine learning)machine learning researchcomputational intelligencedata scienceautoencodersdeep aesapplied mathematicsmachine learning

Learning Noise-Robust Stable Koopman Operator for Control With Hankel Dmd. IEEE Transactions on Control Systems Technology (2025)

Shahriar Akbar SakibShaowu Pan

automatic controllearning controlcontrol sciencerobust controlcontrol optimizationcontrol systemshankel dmdstabilityapplied mathematics

Nonlinear Dimensionality Reduction With Convergence. Proceedings of The Royal Society A (2025)

Shaowu Pan

nonlinear dimensionality reductionnonlinear analysisdimensionality reductionmachine learning researchmanifold learningdata sciencenumerical linear algebraapplied mathematics

Parametric Surrogate Modeling for Heat Transfer With Uq. Progress in Nuclear Energy (2025)

Shaowu Pan

thermal engineeringparametric surrogate modelingengineeringthermal modelingheat transfermodeling and simulationheat transfer processapplied mathematics

UNIFOIL: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows. (2025)

Shaowu Pan

aircraftboundary layersunsteady flowsturbulence modelingengineeringfluid dynamicsfluid flowaerodynamicsturbulent regimescomputational fluid dynamicsfluid mechanicstransonic flowsshock wavesaerospaceuniversal datasetaerospace engineering

Composite Koopman Analysis of Hypersonic Nonequilibrium Flows Over a Double Wedge. AIAA Aviation Forum and ASCEND (2024)

Shaowu PanOzgur Tumuklu

flow physicsrarefied flowfluid flowfluid dynamicscompressible flowsaerodynamicshypersonic nonequilibrium flowscomposite koopman analysisdouble wedgeshock waveshypersonic speedapplied mathematicsaerospace engineering

Constructing Ilu Preconditioners for Advection-Dominated Problems Using Graph Neural Networks. (2024)

Soha YusufJason E. HickenShaowu Pan

computer sciencenumerical method for partial differential equationnumerical analysisscientific computinggraph neural networksnumerical mathematicspartial differential equationscomputational optimizationnumerical linear algebranumerical computationilu preconditionersapplied mathematicsnumerical algorithms

Deep Autoencoder With Svd-Like Convergence and Flat Minima. arXiv (Cornell University) (2024)

Somasekharan, NithinPan, Shaowu

computer sciencedeep learningsparse neural networkcomplex physical systemsneural network (machine learning)machine learning researchcomputational intelligencedata scienceautoencodersdeep autoencoderflat minimaapplied mathematicsmachine learning

Distributed Deep Compression of Deep Sea Wavefield Data on Edge Device. Journal of Geophysical Research: Machine Learning and Computation (2024)

Shaowu Pan

waveletsedge devicedeep compressionsignal processingdistributed source codingwave nonlinearitymodel compressionedge computingocean engineeringdata compressionlossless compressionlossy compression

ERRATUM: “Grad–Shafranov Equilibria via Data-Free Physics Informed Neural Networks” [Phys. Plasmas 31, 032510 (2024)]. Physics of Plasmas (2024)

Byoungchan JangAlan A. KaptanogluRahul GaurShaowu PanMatt LandremanWilliam Dorland

nonlinear sciencephysicscomputational physicsneural network (machine learning)“ grad–shafranov equilibriabasic plasma physicsapplied mathematicsnon-equilibrium processdynamical systems

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Shaowu Pan

Assistant Professor

Rensselaer Polytechnic Institute

Affiliations

School of Engineering

Department of Mechanical, Aerospace and Nuclear Engineering

Shaowu Pan is currently serving as a Mechanical, Aerospace And Nuclear Engineering Assistant Professor at Rensselaer Polytechnic Institute.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Shaowu Pan

Rensselaer Polytechnic Institute

Assistant Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reduction. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2025)

Nithin SomasekharanShaowu Pan

Learning Noise-Robust Stable Koopman Operator for Control With Hankel Dmd. IEEE Transactions on Control Systems Technology (2025)

Shahriar Akbar SakibShaowu Pan

automatic controllearning controlcontrol sciencerobust controlcontrol optimizationcontrol systemshankel dmdstabilityapplied mathematics

Nonlinear Dimensionality Reduction With Convergence. Proceedings of The Royal Society A (2025)

Shaowu Pan

nonlinear dimensionality reductionnonlinear analysisdimensionality reductionmachine learning researchmanifold learningdata sciencenumerical linear algebraapplied mathematics

Parametric Surrogate Modeling for Heat Transfer With Uq. Progress in Nuclear Energy (2025)

Shaowu Pan

thermal engineeringparametric surrogate modelingengineeringthermal modelingheat transfermodeling and simulationheat transfer processapplied mathematics

UNIFOIL: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows. (2025)

Shaowu Pan

Composite Koopman Analysis of Hypersonic Nonequilibrium Flows Over a Double Wedge. AIAA Aviation Forum and ASCEND (2024)

Shaowu PanOzgur Tumuklu

Constructing Ilu Preconditioners for Advection-Dominated Problems Using Graph Neural Networks. (2024)

Soha YusufJason E. HickenShaowu Pan

Deep Autoencoder With Svd-Like Convergence and Flat Minima. arXiv (Cornell University) (2024)

Somasekharan, NithinPan, Shaowu

Distributed Deep Compression of Deep Sea Wavefield Data on Edge Device. Journal of Geophysical Research: Machine Learning and Computation (2024)

Shaowu Pan

waveletsedge devicedeep compressionsignal processingdistributed source codingwave nonlinearitymodel compressionedge computingocean engineeringdata compressionlossless compressionlossy compression

ERRATUM: “Grad–Shafranov Equilibria via Data-Free Physics Informed Neural Networks” [Phys. Plasmas 31, 032510 (2024)]. Physics of Plasmas (2024)

Byoungchan JangAlan A. KaptanogluRahul GaurShaowu PanMatt LandremanWilliam Dorland

nonlinear sciencephysicscomputational physicsneural network (machine learning)“ grad–shafranov equilibriabasic plasma physicsapplied mathematicsnon-equilibrium processdynamical systems

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applied mathematics

numerical analysis

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parallel computing

computational mechanics

Julian A. Domaradzki

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turbulence modeling

environmental fluid dynamic

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thermodynamic equilibrium

gas turbine combustion

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engineering

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