LabCompass

Vilas Shinde

Engineering · The Ohio State University

Mid career · publishing since 2014

Publications

39

Citations

447

Est. group size

~2

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

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.

Fluid-structure interactionTurbulent and high-speed (hypersonic) flow analysisReduced-order modeling and data decomposition (POD/DMD)Machine learning for fluid dynamicsShock wave and boundary layer interactions

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

Publication cadence
Publications per year over the last 10 years — averaging 3.2/year recently
172018: 4 publications182019: 6 publications6192020: 2 publications202021: 5 publications212022: 2 publications222023: 2 publications232024: 4 publications242025: 5 publications252026: 3 publications26
Recent publications
Publishes in
  • 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
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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.

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