WATCH ON DEMAND
Accelerate Flight Science Development with Physics AI-Enabled AeroDB
About This Webinar:
Flight sciences teams depend on aerodynamic databases for performance, stability and control, loads, and mission analysis — but conventional CFD and physical testing often require thousands of runs, limiting design-space coverage and slowing critical decisions.
In this webinar, we will discuss how Physics AI is used to predict aerodynamic fields, forces, moments, and coefficients in seconds, and explain how it helps teams build and expand AeroDBs faster, explore more of the flight envelope, and deliver high-fidelity data earlier for design, controls, and mission workflows.
The session will cover how an AI-powered aerodynamic database is built, how model accuracy is validated against held-out CFD cases, and what expanded design-space coverage means for engineering teams looking to embed fast aerodynamic inference directly into their workflows.
Meet the speakers:
Dheeraj Vemula
Technical Marketing Engineer, Luminary
Dheeraj Vemula has 8 years of experience in the CAE simulation space. Dheeraj specializes in AI/ML-driven simulation and digital twins. His background spans product development and application engineering, underpinned by a Master’s in Mechanical Engineering from NCSU and a Bachelor’s from IIT Madras.
Joseph Warner
Product Marketing Manager, Luminary
Joseph Warner is a product marketer at Luminary, where he helps shape the go-to-market strategy for physics-based machine learning. He holds both a B.S. and M.S. in Mechanical Engineering from the University of Tennessee, where his graduate work at Oak Ridge National Laboratory focused on novel technologies for net-zero energy buildings. Before joining Luminary, he began his career at Siemens as a Solutions Consultant, specializing in CFD for thermal applications. Today, he works closely with customers to showcase how advanced simulation and AI are accelerating innovation in product development.