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
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.
Results
Coming soon