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knight in shining armour

Veeraraghava Raju Hasti

Assistant Professor

EMAIL
  • Office: Partnership II, Room 203H
  • Email: vhasti@ucf.edu
  • Phone: 407-882-1300

BIOGRAPHY

Veeraraghava Raju Hasti is an assistant professor in the School of Modeling, Simulation, and Training. Prior to joining UCF, he was a research assistant professor at Purdue University and then at North Carolina State University. Hasti received master’s and doctorate degrees in mechanical engineering with a concentration in computational science and engineering from Purdue University in 2016 and 2019 respectively, and a mini-MBA from Purdue in 2018.

EDUCATION

  • Ph.D. in Mechanical Engineering, Purdue University, 2019
  • M.S. in Mechanical Engineering, Purdue University, 2016
  • Mini MBA, Purdue University, 2018

RESEARCH

  • Artificial intelligence and scientific machine learning
  • Digital twins, immersive visualization and simulations, extended reality
  • Computational fluid dynamics and high-performance computing
  • Energy systems modeling and simulation
  • Sustainable energy and propulsion systems

PUBLICATIONS

  • Veeraraghava Raju Hasti and Reetesh Ranjan, “High-fidelity numerical simulation of longitudinal thermoacoustic instability in a high-pressure subscale rocket combustor” Aerospace Science and Technology, Volume 154, November 2024, 109487. https://doi.org/10.1016/j.ast.2024.109487
  • Veeraraghava Raju Hasti and Dongyun Shin, “Denoising and fuel spray droplet detection from light-scattered images using deep learning”, Energy and AI, Volume 7, 2022, 100130. https://doi.org/10.1016/j.egyai.2021.100130
  • Veeraraghava Raju Hasti, Abhishek Navarkar, and Jay P. Gore, “A data-driven approach using machine learning for early detection of the lean blowout”, Energy and AI, 2021, 100099. https://doi.org/10.1016/j.egyai.2021.100099
  • Veeraraghava Raju Hasti, Prithwish Kundu, Sibendu Som, Sang Hee Won, Frederick L. Dryer, and Jay P. Gore, “Computation of Conventional and Alternative Jet Fuel Sensitivity to Lean Blowout”, Journal of the Energy Institute, 2021, https://doi.org/10.1016/j.joei.2021.12.006
  • Veeraraghava Raju Hasti, Prithwish Kundu, Sibendu Som, and Jay P. Gore,”Numerical Simulations and Analysis of the Turbulent Flow Field in a Practical Gas Turbine Engine Combustor”, Proc IMechE Part A: Journal of Power and Energy, 2021, pp 1-11. https://doi.org/10.1177%2F09576509211063255
  • Ali Lafzi, Miad Boodaghi, Siavash Zamani, Niyousha Mohammadshafie, and Veeraraghava Raju Hasti, “Analysis of the effectiveness of face-coverings on the death ratio of COVID-19 using machine learning”, Scientific Reports, 2021, 11(1), pp.1-12. https://doi.org/10.1038/s41598-021-01005-y
  • Abhishek Navarkar, Veeraraghava Raju Hasti, Elihu Deneke, and Jay P. Gore. “A data-driven model for thermodynamic properties of a steam generator under cycling operation.” Energy, Volume 211, November 2020, 118973. https://doi.org/10.1016/j.energy.2020.118973
  • Veeraraghava Raju Hasti, Robert P. Lucht, and Jay P. Gore, “Large eddy simulation of hydrogen piloted CH4 / air premixed combustion with CO2 dilution”, Journal of the Energy Institute, Volume 93, Issue 3, June 2020, Pages 1099-1109 https://doi.org/10.1016/j.joei.2019.10.004

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