Dr. Veeraraghava Raju Hasti is an Assistant Professor in the School of Modeling, Simulation, and Training (SMST) within the College of Engineering and Computer Science (CECS) at the University of Central Florida (UCF). Prior to joining UCF, he was a Research Assistant Professor at Purdue University and then at North Carolina State University. Dr. Hasti received MS and Ph.D. in mechanical engineering with a concentration in computational science and engineering from Purdue University, USA in 2016 and 2019 respectively, and a mini-MBA from Purdue in 2018.

Dr. Hasti’s research focuses on the development of transformational digital tools combining physics-based modeling with data-driven artificial intelligence to address critical challenges in energy, propulsion, and sustainability. These simulation tools enable the creation of low emission, connected, resilient, safe, reliable, affordable, and intelligent systems. His work emphasizes adaptive digital twins using foundation AI models incorporating large language models (LLMs), generative AI, computer vision, multimodal learning, and uncertainty quantification to enable real-time simulation, optimization, decision-making, and control of complex physical systems. These advanced AI techniques ensure comprehensive analysis and robust decision-making across diverse data sources and uncertain environments. Through the development of scientific machine learning models, his research enhances predictive capabilities and operational efficiency in decarbonization efforts and resilient energy infrastructures. Dr. Hasti employs an integrated methodology that bridges fundamental principles with practical applications, driven by interdisciplinary collaboration and real-world challenges. His research fosters active, experiential learning, preparing students to tackle grand challenges through AI-driven modeling and simulations, ultimately shaping the future of sustainable technology innovation and contributing to a safer, more sustainable world.

Awards

• Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA)


• The US National Academy of Engineering (NAE) Invitation to the 2023 German American Frontiers of Engineering (NAE GAFOE) Symposium.


• Chair, Gas Turbine Engines Technical Committee, American Institute of Aeronautics and Astronautics (AIAA).


• 2022 Impact Award, Science and Technology Forum (SciTech), American Institute of Aeronautics and Astronautics, 2022.


• Technical Discipline Chair, Gas Turbine Engines, Science and Technology Forum and Exposition (2022 AIAA SciTech Forum), American Institute of Aeronautics and Astronautics, 2022.


• Associate Editor, Frontiers in Aerospace Engineering journal


• Outstanding Engineering Teacher recognition for receiving a teaching evaluation score well above 4.6 from the College of Engineering, Purdue University, Jan 2021.


• Outstanding Research Award, College of Engineering (COE), Purdue University, April 2020.


• Gordon C. Oates Air Breathing Propulsion Graduate Award from the American Institute of Aeronautics and Astronautics (AIAA) Foundation, 2019.


• Leadership Recognition Award from Society for Industrial and Applied Mathematics (SIAM), 2017.


• Honeywell Outstanding Engineer Award, Honeywell, 2013.

1. 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


2. 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


3. 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


4. 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


5. 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


6. 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


7. 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

8. 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