Meet Greek-American Yannis Kevrekidis: Outstanding research in nonlinear science

12 January 2018

Yannis Kevrekidis after more than 30 years at Princeton, Kevrekidis joined Johns Hopkins University in July 2017 as a Bloomberg Distinguished Professor with joint appointments in the Department of Chemical and Biomolecular Engineering and the Department of Applied Mathematics and Statistics in the Whiting School of Engineering, as well as an appointment in the Department of Urology at the School of Medicine. He is an an expert in modeling and dynamic behavior of complex systems. He was the Pomeroy and Betty Perry Smith Professor of Engineering and Professor of Chemical and Biological Engineering with the School of Engineering and Applied Science at Princeton University.

Kevrekidis is the 29th Bloomberg Distinguished Professor appointed across Johns Hopkins, joining this interdisciplinary cohort of scholars who are working to address major world problems and teach the next generation.

The program is backed by a $350 million gift from Johns Hopkins alumnus, philanthropist, and three-term New York City Mayor Michael R. Bloomberg. At Hopkins, Kevrekidis will develop computer models that utilize a novel, “equation-free” approach that incorporate data mining and machine learning techniques to apply motion observed in small space-time scales to events and systems on larger scales. His work will help oncologists in the School of Medicine study how cancer cells move and interact with other cells. He will also help scientists analyze outcomes for patients in the Prostate Cancer Precision Medicine Center of Excellence.

He was born in Athens in 1959. He received his diploma in Chemical Engineering from the National Technical University, Athens, in 1982 and his MA in Mathematics and PhD in Chemical Engineering both in 1986 from the University of Minnesota, under the supervision of Lanny D. Schmidt.

His research interests include scientific computation for complex/multiscale systems modeling; process dynamics, computer modeling, and applied mathematics; spatiotemporal pattern formation; and nonlinear system identification and control. With his work, he has contributed significantly to the modern science of chemical engineering and engineering sciences in general.

He has been also honored by Institutes such as The David and Lucile Packard Foundation, the American Institute of Chemical Engineers, the Caltech (California Institute of Technology) and the Max Planck Institute of complex systems.

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