Omar Knio Research Group

Professor Knio’s research interests include uncertainty quantification, Bayesian inference, computational fluid mechanics, combustion, oceanic and atmospheric flows, turbulent flow, physical acoustics, energetic materials, microfluidic devices, dynamical systems, asymptotic techniques, multi-resolution methods, high-performance computing, optimization under uncertainty, and data-enabled predictive science.