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About the Presentation
About the Presentation
Computational Science and Engineering is a growing field, involving applied mathematics with the computational and computer programming skills necessary to solve practical problems. It’s an area of science which spans many disciplines, but at its core it involves the development of models and simulations to understand natural systems.
In practical use, it appears as computer simulations and other forms of computation from numerical analysis and theoretical computer science to solve problems in various scientific disciplines. The field is different from theory and laboratory experiment which are the traditional forms of science and engineering. The scientific computing approach is to gain understanding, mainly through the analysis of mathematical models implemented on computers. Scientists and engineers develop computer programs, application software, that model systems being studied and run these programs with various sets of input parameters. The essence of computational science is the application of numerical algorithms[1] and/or computational mathematics. In some cases, these models require massive amounts of calculations (usually floating-point) and are often executed on supercomputers or distributed computing platforms. (Wikipedia)
Join our panelists as they discuss just how the study of computational science and engineering can benefit you in your career!
November 17, 2017
About the Presenters
About the Presenters
Donna Calhoun, Department of Mathematics
Donna Calhoun, Department of Mathematics
Dr. Calhoun is an Associate Professor in the Department of Mathematics at Boise State University. Her current research interests are in finite-volume methods for solving hyperbolic, parabolic and elliptic PDEs in complex geometry. In particular, she’s interested in methods for structured quadrilateral and hexahedral meshes, uniform Cartesian cut-cell (embedded geometry) methods, adaptive mesh refinement methods and numerical methods for solving PDEs on non-Euclidean surfaces.
Eric Jankowski, Micron School of Materials Science and Engineering
Eric Jankowski, Micron School of Materials Science and Engineering
Dr. Jankowski earned his PhD in Chemical Engineering from the University of Michigan in 2012, where he developed computational tools to study the self-assembly of nanoparticles. These tools leveraged graphics processors to accelerate computations and provided insight into systems of both theoretical and practical importance. Dr. Jankowski began focusing on renewable energy generation during his postdoctoral positions at the University of Colorado and the National Renewable Energy Laboratory. At these postdocs, Dr. Jankowski applied techniques he developed during his thesis to understand factors that determine the ordering of molecules in organic solar cells. Dr. Jankowski also enjoys cycling and an ancient board game (go), and can easily be convinced to discuss how themes of efficiency and combinatorics overlap between these hobbies and his professional interests.
Min Long, Computer Science Department
Min Long, Computer Science Department
Dr. Long is an assistant professor in the Department of Computer Science. His current research interests are in computational science and engineering, including scientific computing, hydrodynamics and magnetohydrodynamics, phase field simulations and applications of data science in basic sciences. He also enjoys writing scripts and codes for Data Analysis and Visualization with various data file formats. It’s fun to predict or reproduce what’s really happening in space with the computer in the office.
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