Short Bio: Nikola Petrov received a BS in Nuclear and Elementary Particle Physics from the University of Sofia, Bulgaria. He earned a Ph.D. in Physics in 2002 specializing in Dynamical Systems from the University of Texas at Austin under the direction of Rafael de la Llave. He spent the summers of 2001 and 2002 as an affiliate of the Los Alamos National Laboratory working on remote sensing and machine learning. He enjoyed three turbulent years as a postdoc mentored by Charlie Doering at the Mathematics Department at University of Michigan (also associated with the Michigan Center for Theoretical Physics). Since 2005 he has been a faculty member (and since 2020 a chair) of the Department of Mathematics of the University of Oklahoma.
Talk Title: Stationary distributions and convergence rates for semistochastic processes