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Pages

Posts

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Blog Post number 4

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Blog Post number 3

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Blog Post number 2

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Blog Post number 1

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Higher Order Line-Based Discontinuous Galerkin method for compressible flows

Vuppala, R. K., & Subbareddy, P. K. (2019). Higher Order Line-Based Discontinuous Galerkin method for compressible flows. In AIAA Aviation 2019 Forum (p. 3211).

Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method

Vuppala, R. K. S. S., Chedir, B. A., Jiang, L., Chen, L., Aziz, M., & Sasmito, A. P. (2019). Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method. Molecules (Basel, Switzerland), 24(17), 3097.

Variance reduction of quadcopter trajectory tracking in turbulent wind

Tabassum, A., Vuppala, R. K., Bai, H., & Kara, K. (2021). Variance reduction of quadcopter trajectory tracking in turbulent wind. IFAC-PapersOnLine, 54(20), 102-107.

A Novel Approach in Realistic Wind Data Generation for The Safe Operation of Small Unmanned Aerial Systems in Urban Environment

Vuppala, R. K., & Kara, K. (2021). A Novel Approach in Realistic Wind Data Generation for The Safe Operation of Small Unmanned Aerial Systems in Urban Environment. In AIAA AVIATION 2021 FORUM (p. 2505).

Investigation of Airflow around Buildings using Large Eddy Simulations for Unmanned Air Systems Applications

Landua, T. R., Vuppala, R. K. S. S., & Kara, K. (2022). Investigation of Airflow around Buildings using Large Eddy Simulations for Unmanned Air Systems Applications. In AIAA SCITECH 2022 Forum (p. 1688).

Solving Burgers’ equation with quantum computing

Oz, F., Vuppala, R.K.S.S., Kara, K. et al. Solving Burgers’ equation with quantum computing. Quantum Inf Process 21, 30 (2022).

Wind Field Prediction in Urban Spaces for small Unmanned Aerial Systems using Convolutional Autoencoders

Vuppala, R. K., & Kara, K. (2022). Wind Field Prediction in Urban Spaces for small Unmanned Aerial Systems using Convolutional Autoencoders. In AIAA AVIATION 2022 Forum (p. 3605).

A non-intrusive reduced order model using deep learning for realistic wind data generation for small unmanned aerial systems in urban spaces

Vuppala, R. K., & Kara, K. (2022). A non-intrusive reduced order model using deep learning for realistic wind data generation for small unmanned aerial systems in urban spaces. AIP Advances, 12(8), 085020.

Engine cycle design and Integration of Component Interfaces of a Micro Turbojet Engine for Additive Manufacturing

Creese, A., Vuppala, R. K., Hernandez, S. D., & Rouser, K. P. (2023). Engine cycle design and Integration of Component Interfaces of a Micro Turbojet Engine for Additive Manufacturing. In AIAA SCITECH 2023 Forum (p. 1465).

Flight Dynamics of a Flying Wing Aircraft Featuring the Bell Spanload

Robb, C. S., Vuppala, R. K., Paul, R. C., & Kara, K. (2023). Flight Dynamics of a Flying Wing Aircraft Featuring the Bell Spanload. In AIAA SCITECH 2023 Forum (p. 2610).

Deep Learning for Realistic Wind Field Prediction in a typical Urban Morphology for Application to Small Unmanned Aerial Systems

Vuppala, R. K., & Kara, K. (2023). Deep Learning for Realistic Wind Field Prediction in Various Urban Morphologies for Application to Small Unmanned Aerial Systems. In AIAA SCITECH 2023 Forum (p. 1757).

talks

teaching

Teaching Assistant, Engineering Analysis and Methods I

Undergraduate course, Oklahoma State University, Mechanical and Aerospace Engineering, 2020

Setup and solution of equations which govern mechanical engineering systems, application and solution of the governing equations to describe the steady state or transient behavior of dynamics, mechanics and circuit problems was covered.