Fluid Mechanics Webinar Series: Farazmand

A wide range of natural and engineering systems exhibit extreme events, i.e., spontaneous intermittent behavior manifested through sporadic bursts in the time series of their observables. Examples include ocean rogue waves, intermittency in turbulence, extreme weather patterns and epileptic seizure. Because of their undesirable impact on the system or the surrounding environment, the real-time prediction and mitigation of extreme events is of great interest. In this talk, Mohammad will discuss three aspects of extreme events. First, he introduces a variational method that unveils the mechanisms underpinning the formation of extreme events. Next, he shows how this framework enables the data-driven, real-time prediction of extreme events. He demonstrates the application of this method with several examples, including the prediction of ocean rogue waves and the intermittent energy dissipation bursts in turbulent fluid flows. Finally, he will discuss a closed-loop adaptive control and a delay feedback control for mitigating extreme events.