BLOOMBERG DISTINGUISHED PROFESSOR
Ph.D. Chemical Engineering, University of Minnesota, (’86)
Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering
Professor, Department of Urology, Johns Hopkins University School of Medicine
Algorithms, data, and the computer-assisted modeling of complex dynamical systems
Professor Kevrekidis’ research interests have always centered around the dynamic behavior of physical, chemical, and biological processes; the types of instabilities they exhibit; the patterns they form; and their computational study. More recently, he has developed an interest in multiscale computations and the modeling of complex systems. Along with several students and collaborators, he developed what he calls the “equation-free” approach to complex systems modeling, explored its capabilities in several areas, and is now working on linking it with modern data mining/machine learning techniques in what could be called an “equation-free and variable-free” approach.