Andy Bauer joined Kitware in January 2008 as an R&D Engineer. Dr. Bauer’s general research area is on enabling technologies for large-scale, PDE-based numerical simulations. His two current focus areas are assisting climate scientists with analyzing simulation outputs and performing coprocessing/in-situ visualization with simulation codes on supercomputers. Previous work at Kitware focused on generically specifying simulation code inputs for large scale simulations. Prior to joining Kitware, his work was primarily focused on mesh based numerical simulations of partial differential equations. Specific tasks include being part of the TSTT/ITAPS project for enabling high performance computing on large scale computing systems, working with physicists on numerical simulations of extended MHD using adaptive methods, and working on mesh search methods.
Dr. Bauer obtained his B.S. in Mechanical Engineering from Binghamton University in 1996. He earned his Ph.D. from the University at Buffalo in 2003, with his dissertation titled “Efficient Solution Procedures for Adaptive Finite Element Methods – Applications to Elliptic Problems”. This work focused on efficient mesh partitioning using Space Filling Curves and preconditioning of symmetric positive definite matrices for faster iterative solution convergence. While at UB he also did a post-doc with a group of mathematicians, computational scientists, geologists, and geographers working on simulating granular flows. His work has been published in several peer-reviewed, international conferences and journals.