human and natural environments, as well as the predictability of physical behaviors exhibiting coupling between multiple underlying phenomena and scales. Dr. Ghanem has more than 100 refereed journal publications in the general areas of stochastic modeling and computations and dynamical systems. He has received several awards for his teaching and research, is the founding editor of Lecture Notes in Mechanics (Engineering Mechanics Institute of the American Society of Civil Engineers [ASCE-EMI]), and serves on the advisory board of a number of professional journals. He currently serves on the Board of Governors of the ASCE-EMI, is program director of the Society of Industrial and Applied Mathematics (SIAM) Activity Group on Uncertainty Quantification (SIAG/ UQ), and chairs the U.S. Association for Computational Mechanics committee of SIAG/UQ.
OMAR GHATTAS is the John A. and Katherine G. Jackson Chair in Computational Geosciences and a professor of geological sciences and mechanical engineering at the University of Texas at Austin. He is also a research professor in the Institute for Geophysics, director of the Center for Computational Geosciences in the Institute for Computational Engineering and Sciences, professor of biomedical engineering and computer sciences (by courtesy), co-chief applications scientist for the 580 Teraflops NSF Track 2 supercomputer at the Texas Advanced Computing Center, and director of the KAUST-UT [King Abdullah University of Science and Technology- University of Texas at Austin] Academic Excellence Alliance. From 1989 to 2005, he was a professor at Carnegie Mellon University. He has been a visiting professor at the Institute for Computer Applications in Science and Engineering at NASA-Langley Research Center, the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory, and the Computer Science Research Institute at the Sandia National Laboratories. Professor Ghattas’s research interests are in the forward and inverse modeling and the optimal design and control of complex systems in the geological, mechanical, and biomedical engineering sciences, with particular emphasis on large-scale simulation on parallel supercomputers. He received the 1998 Allen Newell Medal for Research Excellence, the Supercomputing 2002 Best Technical Paper Award, the 2003 Gordon Bell Prize for Special Accomplishment in Supercomputing, the 2004/2005 CMU College of Engineering Outstanding Research Prize, the SC2006 HPC [High Performance Computing] Analytics Challenge Award, and the TeraGrid 2008 Capability Computing Challenge Award, and he was a finalist for the 2008 Gordon Bell Prize. Professor Ghattas’s recent professional activities have included service in the following capacities: he has organized 10 conferences and workshops in computational science and engineering; delivered 15 keynote or plenary talks at major international conferences; was program director for the Computational Science and Engineering Activity Group of the Society for Industrial and Applied Mathematics (SIAM); served as founding editor-in-chief of SIAM’s Computational Science and Engineering series; was associate editor of the SIAM Journal on Scientific Computing and an editorial board member of seven other journals; served as a member of the SIAM Program Committee; and was a member of the Science Steering Committee for the Computational Infrastructure for Geodynamics project.
JUAN MEZA is dean of the School of Natural Sciences at the University of California, Merced. Prior to joining the University of California, Merced, he was the department head of High Performance Computing Research at the Lawrence Berkeley National Laboratory, where he oversaw work in computational science and mathematics, computer science and future technologies, scientific data management, visualization, and numerical algorithms and application development. His current research interests include nonlinear optimization with an emphasis on methods for parallel computing. He has also worked on various scientific and engineering applications including scalable methods for nanoscience, electric power grid reliability, cyber security, molecular conformation problems, optimal design of chemical vapor deposition furnaces, and semiconductor device modeling. Dr. Meza also held the position of Distinguished Member of the Technical Staff at the Sandia National Laboratories and served as the manager of the Computational Sciences and Mathematics Research Department. In this capacity, he acted as the Research Foundation Network Research program manager and the ASCI Problem Solving Environment Advanced Software Development Environment program manager, and he served as a member of the Sandia/ California Research Council. Dr. Meza was recently named to the Top 100 Influentials list of Hispanic Business Magazine in the area of science. In addition, he was elected a fellow of the American Association for the Advancement of Science. In 2008, Dr. Meza was the recipient of the Blackwell-Tapia Prize and the SACNAS [Society for the Advancement of Chicanos and Native Americans in Science] Distinguished Scientist Award. He was also a