Prof. Kumar K. Tamma
https://cse.umn.edu/me/kumar-tamma
University of Minnesota, United States
Prof. Kumar K. Tamma is Professor of Mechanical Engineering at the U of Minnesota. He is a highly recognized leading researcher, scientist and an educator specializing in computational sciences and engineering. He is particularly recognized for his depth, breadth of knowledge, and his leading role and scientific contributions encompassing the novel numerical developments, novel computational algorithms and framework which encompasses the entire spectrum of LMS methods developed over the past 50 years or so (including new and optimal designs and existing designs) for both 1 st /2 nd order systems, and algorithm designs for linear/nonlinear time dependent problems. He has also made significant contributions in the computational developments of time dependent problems [ODE’s/DAE’s] with an interplay between 1 st /2 nd order time dependent systems, in interdisciplinary research, and in the public understanding of the role of time dependent computational algorithms by design in science and engineering applications. He is an expert in the areas of numerical time dependent algorithms and design/analysis for ODE’s/DAE’s. His contributions preserve the much- coveted 2 nd order in time accuracy in all primary variables and Lagrange multipliers as well, Finite Element (FE) methods, PDEs, mechanics/dynamics, and the interplay between these fields. Much of his recent efforts have been directed towards enabling a general purpose nature of the designs and general applicability to 1 st /2 nd order time dependent systems with novel algorithms by design, and in the design of novel universal error estimators and adaptive features encompassing the entire spectrum of LMS methods that are 2 nd order time accurate in contrast to traditional approaches and error estimators which are limited to only an algorithm-by-algorithm basis. His more recent contributions and efforts that are noteworthy are the novel developments with features enabling altogether different selection of space/time integration methods for the different subdomains within a body including features with model order reduction. His textbook on “Advances in Computational Dynamics of Particles Materials, and Structures,” is highly recognized and he is a leading researcher in his google scholar search profile for areas of time integration/computational dynamics. He is currently finishing two book contracts with Springer publishers; “A First Course in Computational Mechanics: Modeling, Analysis, and Simulation,” and “Numerical Modeling and Simulation for Process Modeling, Manufacturing of Composites, and Heterogeneous Materials with Complex Microstructures”.