Home | Bio | Research | Publications | NN Publications | News | Links
Bloomberg Distinguished Professor, Chemical and Biomolecular Engineering, John Hopkins University
Pomeroy and Betty Perry Smith Professor in Engineering, Emeritus, and Professor of Chemical and Biological Engineering, Emeritus, Princeton University
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.
Yannis G. Kevrekidis
John Hopkins University (410) 516-7170 216 Maryland Hall 3400 North Charles Street Baltimore, MD 21218
Princeton University (609) 258-2818 Room A319 Engineering Quadrangle Princeton, NJ 08544-5263