336 citations · 1.5k across the 38 of their papers we have counts for
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Tensor-based flow reconstruction from optimally located sensor measurements
Mohammad Farazmand, Arvind K. Saibaba
Reconstructing high-resolution flow fields from sparse measurements is a major challenge in fluid dynamics. Existing methods often vectorize the flow by stacking different spatial…
Fast and scalable computation of shape-morphing nonlinear solutions with application to evolutional neural networks
William Anderson, Mohammad Farazmand
We develop fast and scalable methods for computing reduced-order nonlinear solutions (RONS). RONS was recently proposed as a framework for reduced-order modeling of time-dependent…
Stochastic compartmental models of COVID-19 pandemic must have temporally correlated uncertainties
Konstantinos Mamis, Mohammad Farazmand
Compartmental models are an important quantitative tool in epidemiology, enabling us to forecast the course of a communicable disease. However, the model parameters, such as the in…
Quantifying rare events in spotting: How far do wildfires spread?
Alex Mendez, Mohammad Farazmand
Spotting refers to the transport of burning pieces of firebrand by wind which, at the time of landing, may ignite new fires beyond the direct ignition zone of the main fire. Spot f…
Shape-morphing reduced-order models for nonlinear Schrodinger equations
William Anderson, Mohammad Farazmand
We consider reduced-order modeling of nonlinear dispersive waves described by a class of nonlinear Schrodinger (NLS) equations. We compare two nonlinear reduced-order modeling meth…