(734) 615-7270
Applications: Aerospace Engineering Methodologies: Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Deep Learning, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference Relevant Projects:


Karthik Duraisamy

Associate Professor, Aerospace Engineering

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.