The J. Robert Beyster Computational Innovation Graduate Fellows Program was established by four-time alum Dr. J. Robert Beyster (BSEs in Engineering Math and Engineering Physics 1945, an MS in Physics 1947, and a PhD in Physics 1950) and his wife Betty to acknowledge that Ph.D. students are “the originators and carriers of innovative ideas and solutions from the University to the world”, and to emphasize the pivotal role that high-performance computing must play in solving our societal challenges.
The Beyster Fellows Program will support cutting-edge research by up to ten (10) endowed fellows in a variety of fields linking high-performance computing, networking, and storage to applications of societal importance.
Areas to be supported by the Beyster Fellows Program will include but not be limited to:
2016 - Johann Dahm
has been selected as the 2016-17 fellow for the J. Robert Beyster Computational Innovation Graduate Fellows Program.
Johann is a Ph.D. candidate in Aerospace Engineering and Scientific Computing and a member of the Computational Fluid Dynamics Research Group. Johann's research focuses on developing novel adaptive algorithms for simulating fluid dynamics problems that involve shock waves and other non-equilibrium phenomena. As a Beyster Fellow, he will advance the state-of-the-art hybridized discontinuous Galerkin (DG) finite element methods.
2015 - U
niversity of Michigan College of Engineering student Paul A. Beata has been selected as the 2015-2016 fellow for the J. Robert Beyster Computational Innovation Graduate Fellows Program.
Paul is a Ph.D. candidate in the Department of Civil and Environmental Engineering. As a Beyster Fellow, he will be developing a computational framework for analyzing structures exposed to natural fire scenarios by
coupling fire-structure interactions in finite element analyses. Paul is also actively involved as a leader of the CEE Student Advisory Committee and participates in various recruiting efforts for his department.
April 15, 2014 - Materials Science and Engineering PhD student Dylan Bayerl has been chosen as the 2014-2015 fellow for the J. Robert Beyster Computational Innovation Graduate Fellows Program.
Dylan is a member of the Kioupakis Computational Materials Physics for Energy Research Group. In the Kioupakis Group, Dylan focuses on the power of combining quantum theory and computational methods for investigating and predicting materials properties.
With these theoretical tools, Dylan is currently investigating a range of materials and nanostructures for improved thermoelectric, photovoltaic, and energy-‐efficiency technologies.
May 1, 2013 - University of Michigan Materials Science and Engineering student Katherine Sebeck has been chosen as the 2013-2014 fellow for the J. Robert Beyster Computational Innovation Graduate Fellows Program.
Katherine is a Ph.D. candidate and NDSEG fellow in the Kieffer Group within the Materials Science and Engineering Department. As a Beyster Fellow, she will be performing computational materials simulations of the dynamic polymerization of the epoxy/graphite interface, which, among other benefits, will translate to significant improvements in fuel efficiency across all industries.
Katherine is also actively involved as a volunteer with the Open Data IGERT program within the University of Michigan’s School of Information.
September 17, 2012 - University of Michigan College of Engineering student Chih-Chun Chia has been chosen as the first fellow of the J. Robert Beyster Computational Innovation Graduate Fellows Program.
Chih-Chun is a Ph.D. candidate in the Computer Science and Engineering division of the Electrical Engineering and Computer Science department. He is a research assistant in the Computational Biomarker Discovery and Clinical Inference Group, and is advised by Professors Zeeshan Syed and Satinder Singh.
As a Beyster Fellow, Chih-Chun will be performing research to develop computational techniques that can leverage large physiological datasets to improve our understanding of major diseases.