Michael Eidell

Michael received his bachelor of science degree in mathematics from Stockton University in Pomona, New Jersey. Upon graduation, he began his graduate studies in aerospace engineering at the University of Virginia, focusing on computational fluid dynamics modeling of supersonic combustion. This work developed a parallel (MPI) Navier-Stokes solver that was capable of using various chemistry mechanisms to investigate their performance in predicting ignition in supersonic shear layers. After finishing his master of science, he started work at Corvid Technologies in Mooresville, NC. In 2013, he left Corvid for GE Aviation in Evendale, Ohio as an engineer in the Inlets and Exhaust Systems group focused on afterburner combustion system design. In January 2020, he joined Kinetic Vision to pursue his passion of working directly with advanced technologies in CFD, computer vision, and physics-informed neural networks. Kinetic Vision develops and integrates advanced technology to accelerate innovation for over 50 of the Fortune 500 companies.

Posts by Michael Eidell

Technical Walkthrough 0

Accelerating Product Development with Physics-Informed Neural Networks and NVIDIA Modulus

In this post, we explore how the interactivity of a trained model using SimNet can greatly impact the product development process. 11 MIN READ