Vilas Shinde
Engineering · The Ohio State University
Publications
39
Citations
447
Est. group size
~2
Recurring co-author estimate
Active years
13
Publishing since 2014
Vilas Shinde works on computational fluid dynamics, focusing on how fluids interact with structures (such as panels, tubes, and airfoils) under high-speed or turbulent flow conditions, including shock waves and thermal stresses. Much of the work involves developing and applying data-reduction and machine-learning techniques (like proper orthogonal decomposition and neural networks) to simplify and analyze large, complex flow simulations. This research is relevant to aerospace and mechanical engineering problems such as high-speed vehicle design, structural vibration, and flow prediction.
Publication output has been fairly steady over the last decade, with recurring yearly activity averaging just over 3 papers per year in the last five years and no clear long-term increase or decline.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Panel Thermal Buckling and Snap-Through Under Mach 6 Turbulent Boundary Layer
2026
- Use of Machine Learning and Sparse Data Estimation Technique to Reconstruct Flow Around a NACA0012 Airfoil
2026
- Thermal Effects on Near-Critical Inviscid Panel Flutter
2025
- Distributed-parallel proper orthogonal/dynamic mode decompositions of large flow data
Computer Physics Communications · 2025
- Lagrangian Stability Analysis Technique for Fluid Flows
arXiv (Cornell University) · 2025
- Spacetime-spectral analysis of flowfields
arXiv (Cornell University) · 2025
- Spacetime-spectral analysis of flowfields
arXiv (Cornell University) · 2025
- Detailed Analysis of Interactions Between Fluid and Structure Under Impinging Shocks
2024
- Mind the Gap: Constraining Physics-Informed Neural Operators to Improve the Quality of Auto-Regressive Predictions
2024
- Parallel Proper-Orthogonal/Dynamic-Mode Decompositions of Large Flowfields
SSRN Electronic Journal · 2024
- Features of oblique shock wave turbulent boundary layer interaction
AIAA SCITECH 2022 Forum · 2022
- Machine Learning Based Model Reduction for Fluid-Structure Interaction
AIAA Scitech 2021 Forum · 2021
- Galerkin-POD Reduced-Order Modeling for Perturbation Analysis and Sparse State Estimation of Compressible Flows
AIAA AVIATION 2021 FORUM · 2021
- Proper orthogonal decomposition assisted subfilter-scale model of turbulence for large eddy simulation
Physical Review Fluids · 2020
- Galerkin-free model reduction for fluid-structure interaction using proper orthogonal decomposition
Journal of Computational Physics · 2019
- Journal of Fluids and Structures×3
- arXiv (Cornell University)×3
- AIAA Scitech 2021 Forum×2
- AIAA Scitech 2019 Forum×2
- Aerospace Science and Technology×1
- Chandan Kumar
Engineering · The Ohio State University
- Jordan D. Thayer
Engineering · The Ohio State University
- Joel J. Redmond
Engineering · Purdue University West Lafayette
- Datta V. Gaitonde
Engineering · The Ohio State University
- Samantha A. Miller
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile