Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Jiaqing Kou

Professor

Northwestern Polytechnical University

China

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Fluid Mechanics

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Bernd Noack

Distinguished Professor

Shenzhen University

CHINA

View details

GONZALO RUBIO CALZADO

Universidad Politécnica de Madrid

SPAIN

View details

Weiwei Zhang

Prof

Northwestern Polytechnical University

CHINA

View details

esteban ferrer

Full Professor in Applied Mathematics

Universidad Politécnica de Madrid

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jiaqing Kou

Research Interests

Make your next move.

Explore related searches

Articles (20)

Causal inference in fluid mechanics: Introduction, progress, and outlook

Accelerating adjoint-based aerodynamic shape optimization through integrating reduced-order modeling and active learning

Causal analysis of a turbulent shear flow model

Data Assimilation for Transonic Flows Integrating Reduced-Order Models and Active Learning

Aeroelastic characteristics and mechanism of plunging mode in turbine cascades under transonic buffet flow

Goal-Oriented Feature Extraction: A Novel Approach to Enhance Data-Driven Surrogate Models

A Scientometric Investigation of Artificial Intelligence for Fluid Mechanics: Emerging Topics and Active Groups

Resolvent-based shape optimisation for a two-dimensional cylinder at low Reynolds numbers

Time series prediction of ship maneuvering motion at sea based on higher order dynamic mode decomposition

Resolvent Analysis for Flutter Boundary Prediction in Transonic Flow

Dynamic-mode-decomposition-based gradient prediction for adjoint-based aerodynamic shape optimization

An analytical model for eigensolution analysis in the ghost-cell immersed boundary method

Machine-learning-augmented domain decomposition method for near-wall turbulence modeling

Heterogeneous data-driven aerodynamic modeling based on physical feature embedding

Aeroelastic reduced-order modeling for efficient static aeroelastic analysis considering geometric nonlinearity

Length-scales for efficient CFL conditions in high-order methods with distorted meshes: Application to local-timestepping for p-multigrid

A combined volume penalization/selective frequency damping approach for immersed boundary methods: Application to moving geometries

Jump penalty stabilization techniques for under-resolved turbulence in discontinuous Galerkin schemes

Time series prediction of ship course keeping in waves using higher order dynamic mode decomposition

A dynamic-mode-decomposition-based acceleration method for unsteady adjoint equations at low Reynolds numbers

Collaborators (4)

Bernd Noack

GONZALO RUBIO CALZADO

Weiwei Zhang

esteban ferrer

Make your next move.