Peer Reviewed Conference Proceedings or Journal articles

  • VKotteda#, V. Kumar, W. Spotz, J. Stephens, “Uncertainty quantification of fluidized beds using a data driven framework”, 709-718 (354), Powder Technology (2019), https://doi.org/10.1016/j.powtec.2019.06.021

  • VK Kotteda#, A. Schiaffino*, A. Chattopadhyay*, S. Shantha-Kumar, V. Kumar, A. Bronson, “Sensitivity of viscosity on molten Ti infusion into a B4C packed-bed at the microscale”, Metallurgical and Materials Transactions B (2019). https://doi.org/10.1007/s11663-019-01618-9.

  • D. Lozano*, VM Kotteda#, V. Kumar, V. Gudimetla, “Implementing artificial intelligence in predicting metrics for characterizing laser propagation in atmospheric turbulence”, 141(12), Journal of Fluids Engineering, (2019), doi:10.1115/1.4043706.

  • A. Schiaffino*, VMK Kotteda#, V. Kumar, A. Bronson, S. Shantha-Kumar, “Uncertainty quantification of molten hafnium infusion into a b4c packed bed”, ASME AJKFLUIDS2019-5281 (2019)

  • VMK Kotteda#, A. Kommu, V. Kumar, W. Spotz, “Uncertainty quantification of a fluidized bed reactor”, ASME AJKFLUIDS2019-4844 (2019)

  • L Rodriguez*, V Kumar, J Espiritu, A. Bronson, VMK Kotteda#, D. Lozano, A. Rodriguez, “Branch and bound analysis to characterize phase variations in laser propagation through deep turbulence”, ASME AJKFLUIDS2019-5567 (2019)

  • D. Lozano*, V. Kumar, V. Gudimetla, V Kotteda, “Artificial Intelligence to predict metrics for characterizing laser propagation in atmospheric turbulence”, ASME Fluids Engineering Division Summer Meeting, FEDSM2018-83209 (2018)[C]

  • J. Contreras-Serna*, A. Schiaffino*, V Kotteda, A. García-Cuellar, V. Kumar, “Numerical simulation of formation of melt jets in melt-coolant interactions”, ASME Fluids Engineering Division Summer Meeting, FEDSM2018-83273 (2018)[C]

  • Z. Nieto*, V. Kotteda, A. Rodriguez*, S. Shantha-Kumar, V. Kumar, A. Bronson, “Utilization of machine learning to predict the surface tension of metals and alloys”, ASME Fluids Engineering Division Summer Meeting, FEDSM2018-83248 (2018)[C]

  • A. Schiaffino*, V Kotteda, A. Bronson, S. Santha-Kumar, V. Kumar, “Predicting The Depth Of Penetration Of Molten Metal Into A Pore Network Using Tensorflow”, ASME Fluids Engineering Division Summer Meeting, FEDSM2018-83258 (2018)[C]

  • A. Rodriguez*, V. Kumar, A. Schiaffino*, V Kotteda, Z. Nieto*, L. Rodriguez*, “Machine learning approach to predict the flow rate for an immiscible two-phase flow at pore scale for enhanced oil recovery application”, ASME Fluids Engineering Division Summer Meeting, FEDSM2018-83050 (2018)[C]

  • T. Hussain, A Chattopadhyay, A Schiaffino, V Kotteda and V Kumar, Optimization of Micro-Pillar Wick Structured Cooler by using an Exa-scale Pore Network Simulator, 2018 Rice oil and gas high performance computing, Rice University, Houston, TX (2018)

  • P. Delgado*, V. Kumar, “A stochastic Galerkin approach to uncertainty quantification in poroelastic media”, Applied Mathematics and Computation, V266, pp 328–338 (2015)[J]