Vineeth Vijaya Kumar

Bio: Passionate about leveraging computational fluid dynamics and machine learning to innovate in aerodynamics and digital twin development.

Postdoctoral Research Associate

Texas A&M University, Kingsville, Texas, US

Research Interests:

Computational fluid dynamics
Bio-inspired propulsion
Vortex wakes
Implementation of machine learning models for wake structure prediction
Digital twins

Profiles:

Publications

V K Vineeth, Devendra Kumar Patel, Dynamic wake behaviour and aerodynamic characteristics of a custom airfoil under combined pitching and heaving motion, International Journal of Modern Physics C, (2025) Vol. 36, No. 2, pp. 1-30 (IF: 1.5).
V K Vineeth, Devendra Kumar Patel, Dependence of wake structure evolution on frequency of a pitching wing: A numerical investigation using LES, International Journal of Modern Physics C, Vol. 34 (2023), No. 08, pp. 2350108 (IF: 1.5).
V K Vineeth, Devendra Kumar Patel, Influence of aspect ratio on the wake dynamics of a pitching wing, Physics of Fluids, Vol 34 (2022), No. 3, pp. 035106 (IF: 4.1).
V K Vineeth, Devendra Kumar Patel, A comparative analysis of the characteristics of the vortex wake behind a flapping wing performing oscillations of different types, Fluid Dynamics, Vol. 56 (2021), pp. S101-125 (IF: 1.0).
V K Vineeth, Devendra Kumar Patel, Propulsion performance and wake transitions of a customized heaving airfoil, International Journal of Modern Physics C, Vol. 32 (2021), No. 09, pp. 2150117 (IF: 1.5).
V K Vineeth, Devendra Kumar Patel, Subhransu Roy, Srikanth Goli, Arnab Roy, Investigations into transient wakes behind a custom airfoil undergoing pitching motion, European Journal of Mechanics/ B Fluids, Vol. 85 (2021), pp. 193-213. (IF: 2.5).

Wakes behind a pitching airfoil

von Karman wake

Neutral wake

reverse von Karman wake

Conferences

Vineeth V K, Sai Jeevan Puchakayala, Aswathy Ravikumar, Arturo Rodriguez, Vinod Kumar, Unsteady Aerodynamic Wake Modes in Pitching Airfoils: Machine Learning Enabled Classification and Prediction, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Aryan Singh, Vyom Kumar, Arturo Rodriguez, Vineeth V K, Christopher Harris, CFD Modelling of Venous Valve Flow Characteristics at Various Reynolds Numbers, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Vyom Kumar, Aryan Singh, Vineeth V K, Arturo Rodriguez, Jeffrey H. Farris, Andrew R.Ybarra, Christopher Harris, Assimilated Physical Digital Twin of Venous Valve for Biological Flows, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Avinash Potluri, Arturo Rodriguez, Vineeth V K, Gopishwar Sharma Palepu, Vinod Kumar, Shock Dynamics Flows Dataset Creation using Explicit and Implicit Finite Difference Solvers, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Alan M. Hernandez, Arturo Rodriguez, Vineeth V K, Avinash Potluri, Gopishwar Sharma Palepu, Vinod Kumar, Physics-Informed Neural Networks: Forward and Inverse Design Solutions for Hypersonic Blunt Cones, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Arturo Rodriguez, Vinod Kumar, Vineeth V K, Avinash Potluri, Gopishwar Sharma Palepu, Partition of Unity Physics-Informed Neural Networks (POU-PINNs) for Darcy Flow, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Oswaldo Aguirre, Arturo Rodriguez, Jose F. Espiritu, Vineeth V K, Vinod Kumar, Generative Probability Density Function for Atmospheric Turbulence Flows, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Gopishwar Sharma Palepu, Arturo Rodriguez, Avinash Potluri, Vineeth V K, Vinod Kumar, Scientific Discovery of Shock Dynamics via Generative Artificial Intelligence, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Vinod Kumar, Christopher Harris, Vineeth V K, Arturo Rodriguez, Herb Janssen, Digital Twin Framework: Integrating Experimentation, Simulation, and AI for Patient-Specific Hemodynamics in Venous Valves, APS Division of Fluid Dynamics Annual Meeting, Nov 23-25, 2025, Houston, TX, United States.
Sai Jeevan Puchakayala, Aswathy Ravikumar, Vineeth V K, An ensemble deep learning model based high precision automated analogue meter reading utilising EfficientDet detection and U-Net segmentation, IEEE World Conference on Applied Intelligence and Computing, July 27-28, 2024, Gwalior, India.
V K Vineeth, Devendra Kumar Patel, Influence of aspect ratio on wake structure evolution and wake profiles behind a heaving wing, AIAA Aviation Forum, Jun 12-16, 2023, San Diego, California, USA.
V K Vineeth, Devendra Kumar Patel, Large-eddy simulation of wake structure behind a pitching wing with different aspect ratios, AIAA Sci-TECH Forum, Jan 3-7, 2022, San Diego, California, USA.
V K Vineeth, Devendra Kumar Patel, Comparison of wake characteristics behind a custom-designed airfoil performing different types of flapping oscillations, 26th National and 4th International ISHMT-ASTFE Heat and Mass Transfer Conference, Dec 17-20, 2021, IIT Madras.
Vineeth V K, Devendra Kumar Patel, Splendid Nehemiah, Mukul Shrivastava, Different Wake Structures Behind a Flapping Airfoil and it’s Influence on Propulsion Performance, 4th International Congress on Advances in Mechanical Sciences, Nov 26-27, 2021 Vardhaman College of Engineering, Hyderabad.

deflected wake

Coherent structures in flow using proper orthogonal decomposition

Books & Book Chapters

Vineeth V K, Devendra Kumar Patel, Flapping wings: Bio-mimicking for future- A computational perspective of the application, Lambert Academic Publishing
Aparna Nair M K, Vineeth V K, Future of AI-based Applications in Education Sector: Challenges and Scope, in Book “Advanced AI Technologies for Improving Education Systems”, Taylor & Francis, ISBN: 9781041070610.
Sai Jeevan Puchakayala, Aswathy Ravikumar, Vineeth V K, Digital Twins in the Modern Era of IoT and AI, in Book “Human Centric Intelligent Transportation Systems for Modern Society: Fundamentals, Methods, Practical Implementations, and Future Applications”, Taylor & Francis, ISBN: 9781041092414.

Completed Projects: 1

Wake dynamics and thrust performance of oscillating airfoils

Funded by

Council of Scientific & Industrial Research (CSIR), Government of India

Visualization below:

Multiple vortex wakes behind airfoils performing combined pitching and heaving motion

2P wake

4P wake

8S wake

Completed Projects: 2

Wake characteristics and performance evaluation of flapping wings

Funded by

Council of Scientific & Industrial Research (CSIR), Government of India

Visualization below:

Wake visualisation through isosurfaces of Q-function

Symmetric teardrop airfoil performing pitching oscillations

Cambered NACA8412 airfoil performing pitching oscillations

Collaborative Projects: 1

Implementation of machine learning models to predict the wake structure behind oscillating airfoils.
Different machine learning models are used to train and test for wake structure prediction.
ADASYN and SMOTE analysis are used to address class imbalance in the data.

Confusion matrix (Random Forest Classifier)

Performance metric (Random Forest Classifier)

Current Project:

Development of physics-enabled, real-time digital twin.

TITLE:

Toward Digital Twin-Enabled Venous Flow Modelling: Interactive Valve Geometry and Lab-on-Chip Generation Framework

Project Summary

The present work introduces a web-based framework that provides real-time generation, visualization and meshing of venous valve geometry using analytically defined constructional parameters.
The interface allows manipulation of physiological parameters, including vein radius, sinus bulge, sinus length, leaflet spacing, leaflet thickness, and leaflet extension. This enables the modeling of both healthy and pathological valve morphologies and ensures reproducibility.
Based on the parameter values, the framework generates a two-dimensional (2D) outline of the geometry and a three-dimensional (3D) lab-on-a-chip-style geometry. It supports the direct export of stereolithography (STL) files, numerical simulation, or micro-channel fabrication.
The framework also generates high-quality meshes suitable for computational fluid dynamics (CFD) simulations using a hexagonal lattice-based discretization strategy, combined with Delaunay triangulation and masking.

Sub-Project 1:

A Web-Enabled Interface of the Coupled Tank Process for Monitoring and Control

Project Summary

This project develops a twin model of a coupled tank apparatus, enabling seamless integration between physical hardware and web-enabled user interaction.
The platform synchronizes live sensor measurements, control inputs, and computational models to create a cyber-physical environment where monitoring and experimentation occur simultaneously.
The physical system consists of interconnected water tanks instrumented with level sensors, pumps, and data-acquisition hardware.
These measurements are streamed to a web interface that mirrors the evolving hydraulic state of the system.

RESULTS: Coming soon

Sub-Project 2:

A Web-Based Digital Twin for Monitoring and Control of the UFactory Lite 6

Student Collaborator: Swetha Mandangi

Project Summary

This project develops a real-time digital twin and web-based control interface for the UFactory Lite 6, enabling seamless interaction between physical robotic hardware, computational models, and remote users.
The framework establishes a cyber-physical environment in which sensing, actuation, visualization, and prediction are unified within a single digital infrastructure.

RESULTS: Under-development

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