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Milos Kojic
Dr. Milos Kojic is one of the leading scientists in the computational mechanics and finite element method and its application in
engineering and biomedicine. He is currently Full...vizualizați mai multeDr. Milos Kojic is one of the leading scientists in the computational mechanics and finite element method and its application in
engineering and biomedicine. He is currently Full Member and Professor of Nanomedicine, Department of Nanomedicine, The
Methodist Hospital Research Institute, Houston, TX, USA, as well as the Director of the Bioengineering R&D Center, Kragujevac,
Serbia. In his long professional carrier, Dr. Kojic has been Professor of Mechanics at University of Kragujevac, Serbia (retired),
Visiting Scholar of MIT; Research and Development Engineer of ADINA R&D, Boston; Senior Research Scientist, Harvard School
of Public Health; and Member of the Serbian Academy of Science and Arts, from 2009. Dr. Kojic’s research is primarily concerning
the finite element method, implementation in engineering and biomedicine; and software development. He has formulated and
implemented a number of original concepts and solutions, among which is the Governing Parameter Method for inelastic analysis
of solids and structures, and recently the smeared finite element models for field problems and mechanics, also known as the Kojic
Transport Model (KTM). He initiated and has been PI of the FE software package PAK for solids and fluids, field and coupled
problems, and biomechanics. The PAK software has been developing over decades with participation of several generations; today,
it is the basic tool for applications in industry and in research within various domestic and international grants. Dr. Kojic is the lead
author of over 10 textbooks in Serbian and two books by world leading publishers: Inelastic Analysis of Solids and Structures, from
Springer, and Computer Modeling in Bioengineering, from J. Wiley and Sons.vizualizați mai puține
Cărți de Milos Kojic
Computational Models in Biomedical Engineering: Finite Element Models Based on Smeared Physical Fields: Theory, Solutions, and Software