Karthik Duraisamy

(734) 615-7270

Applications:
Engineering
Methodologies:
Bayesian Methods, Causal Inference, Computing, Machine Learning, Statistics
Relevant Projects:

NASA, DOE, NSF, GE, NAVY


Karthik Duraisamy

Associate Professor

Aerospace Engineering, College of Engineering

Professor of Aerospace Engineering, Professor of Mechanical Engineering, College of Engineering and Center Director, Michigan Institute for Computational Discovery and Engineering Research

Karthik Duraisamy, PhD, is Associate Professor of Aerospace Engineering in the College of Engineering at the University of Michigan, Ann Arbor.

Prof. Duraisamy’s group focuses on data-driven modeling of computational physics problems. Specifically, we use statistical inversion and physics-informed machine learning techniques to augment existing computational models. Another focus area is formal reduced order modeling using data-driven decompositions.

Our application areas are in turbulence, combustion and materials physics.

Turbulent flow in a trailing vortex.

Turbulent flow in a trailing vortex.