Prof. Dr. Marko Knezevic joined the faculty of the Mechanical Engineering Department in the spring semester of 2013. Before joining the department, he worked at Scientific Forming Technologies Corporation in Columbus, OH from 2009 to 2011 as a principal research scientist for the development of the commercial finite-element software DEFORM, which is used for analysis of manufacturing processes. After industrial experience, he worked with the Materials Science and Technology Division at Los Alamos National Laboratory in Los Alamos, NM from 2011 to 2013 as the LANL Seaborg Institute Postdoctoral Fellow. His research is focused on understanding material behavior under complex loading using a combination of computational methods and experiments, development of constitutive material models, design and manufacturing at component levels, material design at microstructural length scales, as well as the development of high-performance computational applications integrating multi-scale material models for predicting material behavior.
Prof. Dr. Marko Knezevic joined the faculty of the Mechanical Engineering Department in the spring semester of 2013. Before joining the department, he worked at Scientific Forming Technologies Corporation in Columbus, OH from 2009 to 2011 as a principal research scientist for the development of the commercial finite-element software DEFORM, which is used for analysis of manufacturing processes. After industrial experience, he worked with the Materials Science and Technology Division at Los Alamos National Laboratory in Los Alamos, NM from 2011 to 2013 as the LANL Seaborg Institute Postdoctoral Fellow. His research is focused on understanding material behavior under complex loading using a combination of computational methods and experiments, development of constitutive material models, design and manufacturing at component levels, material design at microstructural length scales, as well as the development of high-performance computational applications integrating multi-scale material models for predicting material behavior.