Profile

  • Organization
    University of Illinois at Urbana-Champaign

  • Employment Status
    University / College Staff

  • Telephone
    217-244-9481

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  • Biography

    Nahil A. Sobh received the B.S., M.S., and Ph.D. degrees in both applied mathematics and civil engineering from the University of Colorado at Boulder, in 1981, 1983, and 1987 respectively. He obtained his M.S. in Engineering Mechanics in 1985. Dr. Sobh continued his training as a postdoctoral associate at the center for Space Structures and Controls at the University of Colorado. He joined Old Dominion University as an Assistant Professor in 1989 in the Department of Mechanical Engineering and Mechanics. In 1992 he joined Aramco oil Company as a research scientist to develop the first in-house parallel oil-water reservoir simulator. In 1998 Dr. Sobh joined the rocket center and the Theoretical and Applied Mechanics Department at the University of Illinois as a visiting research associate Professor. In 2002 he served for two years in Caterpillar’s Champaign Simulation Center as a senior engineer. In 2004 he joined NCSA as the lead of the computational methods groups. In 2007 he was appointed as lead scientist in civil engineering and a visiting lead scientist for the network for computational nanotechnology housed at Beckman Institute for Advance Science and Technology. Dr. Sobh also is an adjunct Associate Professor at the Mechanical Science and Engineering Department and an affiliate of the Computational Science and Engineering Program at the college of Engineering of the University of Illinois.

    Dr. Sobh research interests are in online Large Scale Applications for Nano-Biotechnology and Imaging, High Performance Scientific Computing, Distributed Computing, Massively Parallel Processing, Computational Solid and Fluid Mechanics, Large Scale Reservoir Simulation, Fluid-Structure Interaction (FSI), Space-Time Finite Element Techniques, Discontinuous Galerkin Methods, Wave Propagation, Shape Optimization, Numerical Linear Algebra, Domain Decomposition Methods, Software Engineering, Interdisciplinary and Multidisciplinary Research and Development.


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