HASTI LAB
Bridging physics-based modeling and data-driven AI to create sustainable, intelligent, and resilient systems.
REDEFINING ENGINEERING
SIMULATIONS
ABOUT
“My mission is to develop transformational digital tools that combine the rigor of physics-based modeling with AI.”
– Dr Hasti
With a background in computational science and engineering (Ph.D., Purdue University, 2019) and experience as a Research Assistant Professor at Purdue University and North Carolina State University, Dr. Hasti brings a unique blend of technical expertise and innovation leadership to the field.
Focus Areas:
Advanced decarbonization strategies and resilient energy infrastructures through scientific machine learning.
Developed adaptive digital twins integrating AI models (LLMs, generative AI, multimodal learning).
AI-based physics modeling techniques for real-time simulation and control of complex systems.
Key Publications:
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
GROUP
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Contact Us
Institute of Simulation & Modeling
243, Partnership III Bldg.
12423 Research Pkwy