
Prof. Dr.-Ing. Michael W. Gee
Academic Career and Research Areas
Professor Gee’s area of expertise focuses on the development of efficient methods for numerical simulation of complex mechanical and physical phenomena. In this context, his primary focus is on efficient methods for computational structural and fluid mechanics, frictional contact, algebraic multigrid, multiphysics coupled problems and, more recently, on inverse, control and uncertain problems. As regards applications of his research, he focuses on interdisciplinary projects in biomechanics and mechanobiology, medical device development and aerospace applications.
Professor Gee studied civil engineering at the University of Stuttgart from where he also received his doctoral degree in computational mechanics. Afterwards, he worked for two years as a scientific employee in the Computational Mathematics and Parallel Algorithms Department at Sandia National Laboratories in Albuquerque, USA. In 2006 he joined TUM where he headed several research groups on biomechanics, frictional contact, parallel algebraic multilevel methods and domain decomposition, as well as software design and high performance computing. In 2011 he was appointed associate professor for Mechanics and High Performance Computing in the Department of Mechanical Engineering. He teaches Engineering Mechanics in the TUM Munich School of Engineering as well as Advanced Parallel Computing in Mechanical Engineering.
Key Publications (all publications)
Reeps C, Maier A, Pelisek J, Haertl F, Wall WA, Eckstein HH, Gee MW: "Measuring and Modeling Patient-Specific Distributions of Material Properties in Abdominal Aortic Aneurysm Wall". Biomechanics and Modeling in Mechanobiology. 2013; 12(4): 717-733.
AbstractGee MW, Küttler U, Wall WA: “Truly monolithic algebraic Multigrid for Fluid-Structure Interaction”. International Journal for Numerical Methods in Engineering. 2010; 85(8): 987-1016.
AbstractMaier A, Gee MW, Reeps C, Pongratz J, Eckstein HH, Wall WA: “A comparison of diameter, wall stress and rupture potential index for abdominal aortic aneurysm rupture risk prediction”. Annals of Biomedical Engineering. 2010; 38(10): 3124-3134.
AbstractGee MW, Förster C, Wall WA: “A computational strategy for prestressing patient-specific biomechanical problems under finite deformation”. International Journal for Numerical Methods in Biomedical Engineering. 2010; 26(1): 52-72.
AbstractPopp A, Gitterle M, Gee M, Wall WA: "A dual mortar approach for 3D finite deformation contact with consistent linearization". International Journal for Numerical Methods in Engineering. 2010; 83(11): 1428-1465.
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