Associate Professor (2014-, 2008-14: Assistant Professor), Mechanical, University of Texas - El Paso, B. Tech (IITK, Aerospace, 1997), Ph.D. (Rice University - Mechanical, 2005), Postdoctoral Research (Princeton University & Physics & Astronomy, Rice University, 2005-2007).

• postdoctoral research fellowship - Physics and Astronomy DeptRice Univ (01/01/2005-12/31/2005)
• Research Assistantship - Rice University (01/01/2005-12/31/2005)
• Robert Lowry Patten Award (01/01/2005-12/31/2005)
• Sallyport Award; (01/01/2005-12/31/2005)
• Graduate Fellowship, - Rice University (01/01/2000-12/31/2000)
• Prize winner - Valley Land Fund

• Ph D in Mechanical Engineering and Materials Science, Rice Universitv. (2005)
• BS in Aerospace Engineering, Indian Institute of Technology, Kanpur (1997)

• Physics-Informed Long-Short Term Memory Neural Network Performance on Holloman High-Speed Test Track Sled Study 85840 (2022), Jose Perez, Rafael Baez, Jose Terrazas, Arturo Rodriguez, Daniel Villanueva, Olac Fuentes, Vinod Kumar, Brandon Paez, Abdiel Cruz.
• Parameter Sensitivity and Statistical Correlation Found in Atmospheric Turbulence Studies ASME 2020 Fluids Engineering Division Summer Meeting 2 (2020), Luis F. Rodriguez, Vinod Kumar, Arturo Rodriguez, VM Krushnarao K. , Rao Gudimetla, Jorge A. Munoz.
• Stochastic Analysis of LES Atmospheric Turbulence Solutions With Generative Machine Learning Models ASME 2020 Fluids Engineering Division Summer Meeting 1 (2020), Arturo Rodriguez, Carlos R. Cuellar, Luis F. Rodriguez, Armando Garcia, Rao Gudimetla, VM Krushnarao Kotteda, Jorge A. Munoz, Vinod Kumar.
• Trilinos Solvers Scalability on a MFiX-Trilinos Framework Applied to Fluidized Bed Simulations ASME 2020 Fluids Engineering Division Summer Meeting 2 (2020), Arturo Rodriguez, VM Krus Kotteda, Luis F. Rodriguez, Vinod Kumar, Jorge A. Munoz.
• Simulation of atmospheric turbulence with generative machine learning models Bulletin of the American Physical Society 65 (2020), Arturo Rodriguez, Carlos R. Cuellar, Luis F. Rodriguez, Armando Garcia, Jose A. Terrazas, VM Krushnarao Kotteda, Rao Gudimetla, Vinod Kumar, Jorge A. Munoz.

• Parameter Sensitivity and Statistical Correlation Found in Atmospheric Turbulence Studies (2020), Volume Online, Luis F. Rodriguez, Vinod Kumar, Arturo Rodriguez, Krushnarao Kotteda, Rao Gudimetla, Jorge A. Munoz.
• Stochastic Analysis of LES Atmospheric Turbulence Solutions With Generative Machine Learning Models (2020), Volume Online, Arturo Rodriguez, Carlos R. Cuellar, Luis F. Rodriguez, Armando Garcia, Rao Gudimetla, Krushnarao Kotteda, Jorge A. Munoz, Vinod Kumar.
• Trilinos Solvers Scalability on a MFiX-Trilinos Framework Applied to Fluidized Bed Simulations (2020), Volume Online, Arturo Rodriguez, Krushnarao Kotteda, Luis F. Rodriguez, Vinod Kumar, Jorge A. Munoz.
• Simulation of atmospheric turbulence with generative machine learning models (2020), Volume Online, Arturo Rodriguez, Luis F. Rodriguez, Carlos R. Cuellar, VM Krushnarao Kotteda, Jose A. Terrazas, Vinod Kumar, Jorge A. Munoz.
• Simulation of Atmospheric Turbulence with Long Short-Term Memory (LSTM) Neural Networks (2019), Volume El Paso, TX, Arturo Rodriguez, Carlos Cuellar, Luis F. Rodriguez, VM Krushnarao Kotteda, Vinod Kumar, Jorge A. Munoz.
• Addressing long-range laser propagation through atmospheric turbulence using Large Eddy Simulations (LES) (2019), Volume El Paso, TX, Arturo Rodriguez, Reynaldo Martinez, Diego Lozano, Luis Rodriguez, VM Krushnarao Kotteda, Jorge A. Munoz, Vinod Kumar.

No info available.