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The Institute for Computational Engineering and Sciences Faculty Profiles
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The Institute for Computational Engineering and Sciences
(ICES) was created to foster interdisciplinary research and
graduate study in computational engineering and sciences.
The Institute has been fortunate to attract an outstanding
faculty of world leaders in computer modeling and simula-
tion, computational and applied mathematics, information
technology, and related areas. This booklet introduces the
key players in ICES’ success as the leading research center
in computational science.
From the DirectorJ. Tinsley Oden
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Todd Arbogast ......................................................................................................................................1Ivo Babuška .........................................................................................................................................2Chandrajit L. Bajaj ................................................................................................................................3Jon M. Bass .........................................................................................................................................4William Beckner ...................................................................................................................................5George Biros ........................................................................................................................................6John ("Jay") R. Boisseau ........................................................................................................................7James C. Browne ..................................................................................................................................8Luis A. Caffarelli ...................................................................................................................................9James R. Chelikowsky .........................................................................................................................10Clinton N. Dawson ..............................................................................................................................11Alexander A. Demkov ..........................................................................................................................12Leszek F. Demkowicz ..........................................................................................................................13Inderjit Dhillon ...................................................................................................................................14Ron Elber ..........................................................................................................................................15Bjorn Engquist ...................................................................................................................................16Gregory L. Fenves ...............................................................................................................................17Sergey Fomel .....................................................................................................................................18Irene M. Gamba..................................................................................................................................19Omar Ghattas .....................................................................................................................................20Graeme Henkelman ............................................................................................................................21Marc Hesse ........................................................................................................................................22Thomas J.R. Hughes ...........................................................................................................................23Loukas Kallivokas ...............................................................................................................................24Chad M. Landis ..................................................................................................................................25Dmitri E. Makarov ...............................................................................................................................26Mark Mear .........................................................................................................................................27Robert D. Moser .................................................................................................................................28Peter Mueller .....................................................................................................................................29J. Tinsley Oden ...................................................................................................................................30Dewayne E. Perry ................................................................................................................................31Keshav Pingali....................................................................................................................................32William H. Press .................................................................................................................................33Venkat Raman ....................................................................................................................................34Pradeep Ravikumar .............................................................................................................................35Gregory J. Rodin .................................................................................................................................36Fernando Rodriguez-Villegas ................................................................................................................37Peter Rossky ......................................................................................................................................38Michael Sacks ....................................................................................................................................39Richard Tsai .......................................................................................................................................40Robert van de Geijn ............................................................................................................................41Mary F. Wheeler ..................................................................................................................................42Ali E. Yilmaz ......................................................................................................................................43Lexing Ying ........................................................................................................................................44
Contents
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Todd ArbogastAssociate Director, Center for Subsurface Modeling
Todd Arbogast earned his Ph.D. in mathematics from the University of
Chicago. He is professor of mathematics, chair of the Computational Sciences,
Engineering and Mathematics Graduate Studies Committee, and a founding
member and associate director of the ICES Center for Subsurface Modeling. He
is the faculty co-adviser of the university’s student chapter of the Society for
Industrial and Applied Mathematics.
His research contributes to the development and analysis of numerical algo-
rithms for the approximation of partial differential systems, high performance
and parallel scientific computation, and multi-scale mathematical modeling, as
applied to fluid flow and transport in geologic porous media. Important appli-
cations include petroleum production, groundwater contamination, carbon sequestration, and mantle dynamics.
Arbogast’s research includes Eulerian-Lagrangian schemes for transport, mixed finite element and mortar tech-
niques for flow, homogenization and modeling of flow through multi-scale fractured and vuggy geologic media,
simulation of partially molten materials, and variational multi-scale methods for heterogeneous media.
Arbogast has authored more than 70 scientific and technical publications, and serves on the editorial boards of
three scientific journals and technical series. He is the recipient of an ICES Distinguished Research Award, a Mon-
crief Grand Challenge Faculty Award, and a Frank Gerth III Faculty Fellowship.
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Ivo BabuškaMultiscale Modeling Group
Ivo Babuška earned his Ph.D. in civil engineering from the Technical University
of Prague and his D.Sc in mathematics from the Czechoslovakia Academy of
Sciences. He is professor of aerospace engineering and engineering mechan-
ics, professor of mathematics, ICES senior research scientist, and a member
of the ICES Multiscale Modeling Group. He holds the Robert B. Trull Chair in
Engineering.
He is a member of the U.S. National Academy of Engineering, European
Academy of Sciences, and Engineering Academy of the Czech Republic.
Babuška is noted for his studies of the finite element method (FEM) and proof
of the Babuška-Lax-Milgram theorem in partial differential equations. One cel-
ebrated result of FEM is the Babuška-Brezzi (BB) condition, which provides sufficient conditions for a stable mixed
formulation. This has guided mathematicians and engineers to develop state-of-the-art formulations for techno-
logically important problems like Darcy flow, Stokes flow, incompressible Navier-Stokes, and nearly incompress-
ible elasticity. He is also known for his work on adaptive methods and the p-, hp-versions of FEM. In addition, he
developed the mathematical framework for the partition of unity methods.
He has published more than 300 papers in refereed mathematics and engineering journals, more than 80 proceed-
ings papers, and eight books; he is a highly cited author according to www.isihighlycited.com and serves on more
than 15 boards of scientific journals and publications.
Among his numerous awards and recognitions are five honorary doctorates, the Birkhoff Prize from the Ameri-
can Mathematical Society and the Society for Industrial and Applied Mathematics, the Congress Medal from the
International Association on Computational Mechanics, the John von Neumann Medal from the U.S. Association
for Computational Mechanics, and the Bolzano Medal from the Czech Academy of Sciences.
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Chandrajit L. Bajaj earned his Ph.D. in computer science from Cornell Univer-
sity. He is director of the ICES Computational Visualization Center, professor
of computer sciences and holds the Computational Applied Mathematics Chair
in Visualization. He is also an affiliate faculty member of the departments of
mathematics, electrical and computer engineering, biomedical engineering,
the Center for Perceptual Systems, the Institute for Cellular and Molecular
Biology, and the Center for Learning and Memory.
His research interests span the algorithmic and computational mathematics
underpinnings of image processing, geometric modeling, computer graphics,
visualization, structural biology and bioinformatics. He applies these algo-
rithms to: (a) structure elucidation and reconstruction of spatially realistic models of molecules, organelles, cells,
tissues, and organs, from electron microscopy, and bio-imaging, (b) fast high-dimensional search/scoring engines
for identifying energetically favorable molecular binding conformations (e.g. virtual screening for anti-viral
drugs), and (c) integrated approaches to computational modeling, mathematical analysis and interrogative visual-
ization of the dynamics of electrical signaling and oscillations (3–10 Hz) among neurons in the hippocampus (the
central area of learning and memory in the human brain).
Bajaj is an author and editor of over 300 publications, including 225 papers, 25 book chapters, one book, and
three edited volumes. He serves on the editorial boards of four scientific journals, including the “Society for
Industrial and Applied Mathematics Journal on Imaging Sciences” and “American Computing Machinery Comput-
ing Surveys”, as well as on the editorial advisory board of the Chapman and Hall ICRC Mathematical and Compu-
tational Imaging Sciences Series, and the Elsevier “Journal on Graphical Models.” He is a member of the advisory
committee of the National Institutes of Health National Center for Research Resources National Biomedical
Computation Resource, and past panel member of the National Academy of Sciences, Vietnam Education Founda-
tion, and a member of the center director chair search committee for the King Abdullah University of Science and
Technology (KAUST). He was recently elected chairperson of the National Institutes of Health Molecular Structure
and Function Study Section D.
For his research and academic contributions, he was elected a fellow of the Association for Computing Machinery,
and the American Association for the Advancement of Sciences.
Chandrajit L. BajajDirector, Computational Visualization Center
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Jon M. BassMultiscale Modeling Group
Jon M. Bass earned his Ph.D. in engineering mechanics from The University
of Texas at Austin. He is assistant vice president of research and the associate
director at ICES, a role that allows him to help manage the day-to-day opera-
tions of the Institute. In addition, he is a member of the Multiscale Model-
ing Group led by Professor J. Tinsley Oden, contributing to ICES’ multi-scale
modeling research.
During his tenure in industry, Bass functioned as principal investigator and/or
project manager on research projects in fluid, thermal, and structural mechan-
ics. Additionally, he participated in commercial software development. In
July 2003, he was selected as the first deputy director of ICES, and in 2007
assumed the role of assistant vice president of research.
His current research interests include computational fluid and solid mechanics, multiscale modeling, dynamic
data-driven application systems, hp-adaptive finite element methods, and scientific computing. Since joining ICES,
he has participated in a number of research projects, including “A Computational Infrastructure for Reliable Com-
puter Simulations” (NSF), “Adaptive Multi-Scale Modeling Based on Goal-Oriented Error Estimation and Control”
(DOE), and “A Dynamic Data-Driven System for Laser Treatment of Cancer” (NSF).
Bass is an associate fellow of the American Institute of Aeronautics and Astronautics.
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William BecknerDepartment of Mathematics
William Beckner earned his Ph.D. in mathematics at Princeton University. He
is professor of mathematics and serves as ICES Assistant Director for Natural
Sciences and on the ICES Advisory Board. He holds the Paul V. Montgomery
Professorship in Mathematics.
Dr. Beckner’s research is directed at proving and using geometric inequalities
to gain insight into the structure of manifolds, to understand how geometric
information is encoded in sharp embedding estimates and to use asymptotic
arguments to identify invariants that characterize large-scale geometric struc-
ture. Such results have useful applications for fluid dynamics, quantum physics,
information theory, statistical mechanics, turbulence, and stellar dynamics.
His current research topics include Fourier analysis, geometric inequalities, Lie groups and differential geometry,
mathematical physics, partial differential equations, and probability.
He is a past managing editor for the “Transactions of the American Mathematical Society.” He served as chair of
the Mathematics Department from 2007 to 2011.
For his work on fundamental inequalities in Fourier analysis, he was awarded the Prix Salem. He has held a Sloan
Fellowship, and gave an invited talk at the International Congress of Mathematicians in Helsinki.
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George BirosLeader, Parallel Algorithms for Data Analysis and Simulation Group
George Biros is professor of mechanical engineering, leader of the ICES Parallel
Algorithms for Data Analysis and Simulation Group, and holder of the W. A.
“Tex” Moncrief, Jr. Simulation-Based Engineering Science Chair II. He earned
his Ph.D. in Computational Science and Engineering from Carnegie Mellon
University, and held a post-doctoral appointment at NYU’s Courant Institute of
Mathematical Sciences.
Biros has held faculty positions at the University of Pennsylvania and Georgia
Institute of Technology.
His research group focuses on computational mathematics and the invention
of new parallel algorithms for physics-based simulations and large-scale data analysis. He and his group members
are developing technologies for discovery and innovation that will harness the upcoming breakthroughs in high
performance computing, including exascale platforms.
Current research topics undertaken by his group include parallel algorithms, numerical algorithms for integral
and differential equations, inverse problems, data assimilation, computational statistics, biological complex fluids,
blood rheology, soft tissue and cardiovascular mechanics, and medical image analysis.
Biros is a two-time winner of the Association for Computing Machinery’s Gordon Bell Prize. In addition, he
received an Early Career Young Investigator Award from the U.S. Department of Energy, and has authored numer-
ous scientific publications. He is currently associate editor of the Society for Industrial and Applied Mathematics
“Journal on Scientific Computing.”
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John (“Jay”) R. BoisseauDirector, Texas Advanced Computing Center
John (“Jay”) R. Boisseau is the director of the Texas Advanced Computing
Center (TACC) at The University of Texas at Austin.
Boisseau came to UT to create TACC in 2001, and under his leadership TACC
has grown into one of the leading advanced computing centers in the world.
TACC develops, deploys, and operates powerful high performance computing,
scientific visualization, massive data storage, and grid computing technologies
for scientific research. Boisseau provides the vision and strategy that guide the
overall resources and services, research and development, and education and
outreach programs of the center. He has led several successful proposals and
projects for providing world-class High Performance Computing (HPC) systems
and other cyberinfrastructure for the U.S. high-end computational science community, including the $59 million
award from the National Science Foundation (NSF) to provide Ranger as a “path to petascale” HPC system in
2008, which is the largest NSF award ever made to UT.
Boisseau also leads the NSF project to provide Stampede, a 10 petaflop HPC system, in 2013. He was the lead
for TACC’s role in the NSF-funded National Partnership for Advanced Computational Infrastructure from 2001 to
2005, and for UT’s role in the NSF-funded TeraGrid from 2005 to 2011. He is a now a co-principal investigator on
the new NSF-funded eXtreme Science & Engineering Discovery Environment (XSEDE) national cyberinfrastruc-
ture project, which succeeds the TeraGrid, and also on the NSF-funded eXtreme Digital (XD) Technology Insertion
Service project.
Boisseau started his training at the University of Virginia, where he earned a bachelor’s degree in astronomy
and physics in 1986, while working in various scientific computing positions. He continued his education at The
University of Texas at Austin, where he earned his master’s degree in astronomy in 1990, then took a position at
the Arctic Region Supercomputing Center in 1994 while conducting computational research on Type Ia explo-
sion mechanisms, which he completed in 1996. He then moved to the San Diego Supercomputer Center, where
he eventually founded and became the associate director of the Scientific Computing Department, initiating and
leading several major activities of the center in HPC and grid computing.
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James C. BrowneDepartment of Computer Science
James C. Browne is professor emeritus of computer science, research profes-
sor at ICES and chief technology officer for the Ranger system at the Texas
Advanced Computing Center. He earned his Ph.D. in chemical physics from the
The University of Texas at Austin.
Browne’s research over five decades has spanned many domains in computer
and computational science including many cross-disciplinary collaborations
with physicists and engineers on topics ranging from binary black holes to
control systems for prostate cancer treatments. Browne’s current research
interests span parallel programming and computation, performance optimiza-
tion and fault/failure management for complex systems. One current project
is enabling automation of performance optimization for multicore chips and multichip nodes of high performance
computing. The tool implementing this automation, PerfExpert, has been adopted for use at several major high
performance computing centers. Another is automation of fault and failure management for high performance
computer systems.
Browne has attained fellow status in five different professional societies across several areas including the Asso-
ciation for Computing Machinery, the American Physical Society, the American Association for the Advancement
of Science and the Institute for Constructive Capitalism. Browne received the 2004 University of Texas at Austin
Career Research Excellence Award for maintaining a superior research program across multiple fields over a 45-year
career during which he supervised or co-supervised the Ph.D. research of 69 students in four different fields.
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Luis A. CaffarelliApplied Mathematics Group
Luis A. Caffarelli earned his Ph.D. in mathematics from the University of
Buenos Aires. He is professor of mathematics and holds the Sid W. Richardson
Foundation Regents’ Chair in Mathematics No. 1. He is a member of the ICES
Applied Mathematics Group.
His research interests include non-linear analysis, partial differential equations
and their applications, calculus of variations, and optimization.
In a series of papers starting in 1990, Caffarelli studied viscosity solutions to
non-linear partial differential equations, both the Monge–Ampère equation
and the equation that models flow in a porous medium. This has proven to be
an important means to arrive at the existence and uniqueness of solutions. As a result, Caffarelli has been cited as
the world’s leading specialist in free-boundary problems for nonlinear partial differential equations, and a pioneer
in methods tackling many classical problems that have long defied mathematicians.
With his collaborators, he has authored more than 250 scientific publications documenting this work.
Caffarelli has received numerous honors and awards including three honorary doctorates, the Stampacchia Medal
from the Italian Mathematical Union, the Bocher Memorial Prize from the American Mathematical Society, the
Pius XI Gold Medal from the Pontifical Academy of Sciences, the Premio Konex, Platino y Brillantes from the Konex
Foundation in Argentina, and the Rolf Schock Prize from the Swedish Academy of Sciences. He also received the
Leroy P. Steele Prize for Lifetime Achievement in Mathematics from the American Mathematical Society. In 2012 he
received Israel’s Wolf Prize.
1010
James R. ChelikowskyDirector, Center for Computational Materials
James R. Chelikowsky earned his Ph.D. in physics from the University of Cali-
fornia, Berkeley. He is professor of physics, chemical engineering, and chemis-
try and biochemistry, director of the ICES Center for Computational Materials,
and holds the W.A. “Tex” Moncrief, Jr. Chair of Computational Materials.
Conducting research in industry and academia, Chelikowsky has made sig-
nificant contributions within the field of computational materials science. His
research focuses on the optical and dielectric properties of semiconductors,
surface and interfacial phenomena in solids, point and extended defects in
electronic materials, pressure-induced amorphization in silicates and disor-
dered systems, clusters and confined systems, diffusion and microstructure
of liquids, and the development of high performance algorithms to predict the properties of materials. He has
published over 340 papers, including five monographs.
He is a fellow of the American Physical Society, the American Association for the Advancement of Science, and
the Materials Research Society. He has received numerous awards and honors including the David Turnbull
Lectureship Award from the Materials Research Society, the David Adler Lectureship Award from the American
Physical Society, and a John Simon Guggenheim Fellowship.
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Clinton N. DawsonLeader, Computational Hydraulics Group
Clint Dawson earned his Ph.D. in mathematical science from Rice University.
He is a professor of aerospace engineering and engineering mechanics, leader
of the ICES Computational Hydraulics Group and the graduate advisor of
the ICES Computational Sciences, Engineering, and Mathematics graduate
program. He holds the Edward S. Hyman Endowed Chair in Engineering.
Dawson’s research interests include numerical methods for partial differential
equations, specifically flow and transport problems in computational fluid
dynamics; scientific computing and parallel computing; finite element analysis,
discontinuous Galerkin methods; shallow water systems, hurricane storm
surge modeling, rainfall-induced flooding; ground water systems, flow in
porous media, geochemistry; data assimilation, parameter estimation, uncertainty and error estimation.
Dawson has authored or co-authored more than 125 technical articles in the areas of numerical analysis, numeri-
cal methods and parallel computing with applications to flow and transport in porous media, and shallow water
systems. He has chaired the Society for Industrial and Applied Mathematics Activity Group on Geosciences, and
has served on several conference organizing committees and review panels. In addition, he has served on numer-
ous editorial boards, and is currently co-managing editor of “Computational Geosciences.”
1212
Alexander A. DemkovCenter for Computational Materials
Alexander Demkov earned his Ph.D. in theoretical physics from Arizona State
University. He is associate professor of physics and affiliated with the ICES
Center for Computational Materials.
Research in the Demkov group is focused on materials physics, and specifically
on the properties of oxide materials and heterostructures. He studies transi-
tion metal oxides where using the subtle interplay between competing energy
scales in the d- and f-electron manifolds one can realize different forms of
order and control their strength, mutual coupling and correlation lengths. He
uses density functional theory to predict the properties and molecular beam
epitaxy to create oxide heterostructures.
Demkov is a fellow of the American Physical Society (APS) and recipient of a National Science Foundation
CAREER Award. In 2011 he received the IBM Faculty Award. He has published more than 90 research papers, and
has been awarded seven U.S. patents. He serves on the executive committee of the APS Forum on Industrial and
Applied Physics.
Demkov co-authored the 2005 edition of the Semiconductor Roadmap, and has served as associate editor of the
“Journal of Vacuum Science and Technology,” and guest editor for several issues of the journal “physica status
solidi (b).” He has contributed to several books and edited two.
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Leszek F. DemkowiczLeader, Electromagnetics and Acoustics Group
Leszek F. Demkowicz is assistant director of ICES and the J.H. Herring Centen-
nial Professor in aerospace engineering and engineering mechanics. He is
leader of the ICES Electromagnetics and Acoustics Group, and a member of
the ICES Multiscale Modeling Group.
He earned Ph.D. and Sc.D. degrees in mechanics from Cracow University of
Technology, Poland. Prior to joining The University of Texas at Austin faculty,
he held various positions at Cracow University of Technology.
Demkowicz authored a monograph on adaptive methods (in Polish, 1986),
co-authored with Prof. J.T. Oden a textbook on functional analysis (CRS Press,
1996, second edition - 2010) and co-edited three books. He has also authored more than 150 journal articles,
conference proceedings, book chapters and technical reports in the general area of computational mechanics and
computational mathematics. He is associate editor of seven international journals. He was the founding member
of the Polish Association for Computational Mechanics and served as its first president. He is a fellow of both U.S.
and International Associations for Computational Mechanics and a member of several other professional organiza-
tions. He has graduated 11 Ph.D. and numerous M.S. students.
His work and scientific interests span numerical analysis, adaptive finite element methods, and wave propagation
problems, including acoustics, elastodynamics and electromagnetics. Among other applications, Demkowicz and
his group developed original numerical methods based on hp-adaptive finite and boundary element methods with
applications to structural vibrations, analysis of acoustics of the human ear, dynamic modeling of gears, analysis
of optical waveguides, calculation of radar cross-sections, borehole electromagnetics, and acoustics. His work has
been sponsored by the National Science Foundation, the U.S. Navy, the U.S. Air Force, the U.S. Department of
Energy, Schlumberger, Baker-Hughes, and Boeing.
His research has been summarized in a two-volume monograph “Computing with hp-Adaptive Finite Elements”
published by Chapman & Hall/CRC in 2006 and 2007. For his research on higher order methods, he has received
the Zienkiewicz Medal from the Polish Association for Computational Mechanics, the Computational Science
Award from the U.S. Association for Computational Mechanics, and the ICES Distinguished Research Award.
1414
Inderjit Dhillon, professor Department of Computer Science
Inderjit Dhillon is professor of computer science and is affiliated with
the Division of Statistics and Scientific Computation, the Department of
Electrical and Computer Engineering, and the Center for Computational
Biology and Bioinformatics. Dhillon earned his B.Tech. degree from the
Indian Institute of Technology at Bombay, and his Ph.D. from the Univer-
sity of California, Berkeley.
At Berkeley, Dhillon studied computer science and mathematics with
Beresford Parlett and Jim Demmel. His thesis work led to the fastest
known numerically stable algorithm for the symmetric tridiagonal
eigenvalue/eigenvector problem. Software based on this work is now part of all state-of-the-art numerical
software libraries.
Dhillon’s current research interests are in large-scale data mining, machine learning, network analysis,
numerical optimization and scientific computing. He received a National Science Foundation CAREER
Award in 2001, a University Research Excellence Award in 2005, the SIAG Linear Algebra Prize in 2006, the
Moncrief Grand Challenge Award in 2010 and the Society for Industrial and Applied Mathematics (SIAM)
Outstanding Paper Prize in 2011. Along with his students, he has received several best paper awards at
leading data mining and machine learning conferences.
Dhillon has served on the editorial board of the “Journal of Machine Learning Research,” the “IEEE Transac-
tions of Pattern Analysis and Machine Intelligence,” “Foundations and Trends in Machine Learning,” and the
SIAM “Journal for Matrix Analysis and Applications.” He has served on several panels, including the Com-
mittee of Visitors, at the National Science Foundation. He is a senior member of the Institute of Electrical
and Electronics Engineers, a member of the Association for Computing Machinery, SIAM and the American
Association for the Advancement of Science.
15
Ron Elber earned his Ph.D in theoretical chemistry from Hebrew
University. He is professor of chemistry and biochemistry, director of the
ICES Center for Computational Life Sciences and Biology, and holds the W.
A. “Tex” Moncrief, Jr. Chair in Computational Life Sciences and Biology.
His research focuses on modeling proteins with biophysics and
bioinformatics. In biophysics, his interests are in developing algorithms
to extend time scales of simulations. Critical time scales in molecular
biophysics cover 15 orders of magnitude, from femtoseconds (light
absorption and initiation of vision) to hours (slow permeation processes
through membranes). He has developed an algorithm (Milestoning) that extracts information from
short-time dynamics and constructs a model for long-time processes. Elber’s theories and algorithms are
implemented in the software package MOIL.
On the bioinformatics front, he has developed machine-learning approaches to model protein structures
from sequences, implemented in his web server LOOPP. These techniques investigate the network of
sequence flow between protein structures and model protein-protein interactions.
Elber has published more than 130 papers and books in the field of theoretical and computational
biochemistry.
He is a fellow of the American Physical Society. He was formerly a Camille and Henry Dreyfus Faculty and
Alon Fellow.
Ron Elber Director, Center for Computational Life Sciences and Biology
15
1616
Bjorn Engquist Director, Center for Numerical Analysis
Bjorn Engquist received his Ph.D. in numerical analysis from Uppsala
University in1975. He has been professor of mathematics at UCLA,
and the Michael Henry Stater University Professor of Mathematics and
Applied and Computational Mathematics at Princeton University. He was
director of the Research Institute for Industrial Applications of Scientific
Computing and of the Centre for Parallel Computers at the Royal Institute
of Technology, Stockholm. At Princeton University, he was director of the
Program in Applied and Computational Mathematics and the Princeton
Institute for Computational Science.
Engquist is a member of the Royal Swedish Academy of Sciences, the Royal Swedish Academy of
Engineering Sciences and the Norwegian Academy of Science and Letters. He was a Guggenheim Fellow,
received the first Society for Industrial and Applied Mathematics Prize in Scientific Computing and the
Henrici Prize.
Engquist came to The University of Texas at Austin in 2004, where he holds the Computational and Applied
Mathematics Chair I, and is director of the ICES Center for Numerical Analysis.
Engquist’s research focuses on development and analysis of numerical methods for differential equations.
His earlier work includes the development of absorbing boundary conditions, homogenization theory and
nonlinear high-resolution schemes for fluid dynamics. He is presently working on computational multi-scale
methods and fast algorithms for wave propagation with applications in seismology.
17
Gregory L. Fenves is dean of the Cockrell School of Engineering at The
University of Texas at Austin.
Prior to his appointment at UT Austin in September 2008, Fenves was
on the faculty at the University of California, Berkeley for more than 20
years. He served as chair of the Department of Civil and Environmental
Engineering from 2002 to 2007. He was a key contributor to the Pacific
Earthquake Engineering Research Center (PEER), a multi-disciplinary
center funded by the National Science Foundation. At PEER, he developed
and managed a $12 million industry-sponsored program to improve the
seismic safety of utility and transportation systems.
An internationally recognized structural engineer, Fenves’ research is on computational simulation of struc-
tures subjected to earthquakes and technology for performance-based engineering. He was one of the early
civil engineering researchers to develop wireless sensor networks for assessing the structural health of build-
ings, bridges, and infrastructure.
Fenves earned his bachelor’s degree from Cornell University and his master’s and doctoral degrees from the
University of California, Berkeley. He has received numerous national awards, including the National Sci-
ence Foundation’s Presidential Young Investigator Award and four major awards from the American Society
of Civil Engineers.
Gregory L. Fenves Dean, Cockrell School of Engineering
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Sergey Fomel Center for Numerical Analysis
Sergey Fomel is an associate professor of geological sciences and an associate
research professor with the Bureau of Economic Geology. He holds a Fellow-
ship of the John E. “Brick” Elliott Centennial Endowed Associate Professorship
in Geological Sciences. He is affiliated with the ICES Center for Numerical
Analysis.
His research interests include computational and exploration geophysics, seis-
mic imaging, wave propagation, seismic data analysis, inverse problems, and
geophysical estimation.
He received the Conrad Schlumberger Award from the European Association
of Geoscientists and Engineers in 2011.
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Irene M. Gamba is professor of mathematics and leader of the ICES Applied
Mathematics Group. She is the current holder of the Joe B. and Louise Cook
Professorship in Mathematics.
She earned her Ph.D. in mathematics at the University of Chicago in 1989
and held a National Science Foundation (NSF) postdoctoral fellowship at the
Courant Institute at New York University, where she later became assistant and
associate professor before coming to The University of Texas at Austin in 1997.
She is an active member of the Society for Industrial and Applied Mathemat-
ics (SIAM), the SIAM Activity Group on the Analysis of Partial Differential
Equations (SIAG/APDE), the American Mathematical Society (AMS), the Association for Women in Mathematics,
and the American Statistical Association. She was an AMS elected board member-at-large from 2002 to 2005 and
elected chair and program officer for SIAG/APDE from 2007 to 2011.
She has authored more that 70 publications, serves on the editorial board of three scientific journals, and her work
has been funded by NSF, the U.S. Department of Energy, and TARP programs.
In the last few years she has held invited positions at the Ecole Normale Superiere, Paris; The University of Kyoto,
The University of Paul Sabatier at Toulouse and The University of Nice at France.
She has delivered an AMS invited address at a regional meeting, the Matheon Distinguished Lecture at WIAS Berlin
and received the XV David Alcaraz Spinola Lecture Award, Universidad Autonoma de Mexico, and the 2009 ICES
Grand Challenge Award.
Her research interests are currently in mathematical physics and applied mathematics. In particular, nonlinear
analysis and numerical methods for charged particle transport modeling at quantum, kinetic and fluid levels, me-
soscopic and macroscopic approximations in fluid dynamics, Boltzmann type equations and nonlinear PDE theory,
development of deterministic numerical schemes (WENO vs. discontinuous Galerkin, constrained spectral methods)
to transients for nonlinear Boltzmann type problems, applications to non-equilibrium statistical flows ranging from
gas dynamics, granular flows to transient and hot-carrier phenomena for kinetics of semiconductor device and solar
cell modeling and simulation, as well emerging complex phenomena in multi-linear social interacting systems.
Irene M. Gamba Leader, Applied Mathematics Group
2020
Omar GhattasDirector, Center for Computational GeoSciences and Optimization
Omar Ghattas is the John A. and Katherine G. Jackson Chair in Computational
Geosciences, professor of geological sciences and of mechanical engineering,
and director of the Center for Computational Geosciences in ICES. He also
holds courtesy appointments in the Departments of Computer Science, Bio-
medical Engineering, and in the Texas Advanced Computing Center.
He earned his Ph.D. in computational mechanics from Duke University. He has
general research interests in simulation and modeling of complex mechanical,
geological, and biological systems on supercomputers, with specific interest
in inverse problems and associated uncertainty quantification for large-scale
systems. His center’s current research is aimed at large-scale forward and
inverse modeling of whole-earth, plate-boundary-resolving mantle convection; global seismic wave propagation;
dynamics of polar ice sheets and their land, atmosphere, and ocean interactions; and subsurface flows, as well
as the underlying computational, mathematical, and statistical techniques for making tractable the solution and
uncertainty quantification of such complex forward and inverse problems on parallel supercomputers.
He received the 2003 IEEE/ACM Gordon Bell Prize for Special Accomplishment in Supercomputing, was a finalist
for the 2008 and 2010 Bell Prizes, and received the 2008 TeraGrid Capability Computing Challenge award.
21
21
Graeme Henkelman is an associate professor in the Department of
Chemistry and Biochemistry and is affiliated with the ICES Center for
Computational Molecular Sciences. He earned his Ph.D. in theoretical
chemistry from the University of Washington.
Research in the Henkelman group focuses on understanding atomic scale
dynamics at surfaces and in materials. One of the important challenges in
theoretical chemistry is bridging the gap between the fast time scale on
which atoms move and the human time scale on which interesting dynam-
ics take place. The group works to develop computational methods to
extend the time scale of dynamics simulations.
These computational methods are being used to better understand and help design new materials for en-
ergy conversion and storage. In many cases, slow kinetics in existing materials limit the potential of alterna-
tive energy sources. For example, we need to replace platinum with a better and less expensive catalyst in
fuel cells to efficiently convert chemical to electrical energy. Another example is the need for battery materi-
als with a higher energy and power density for vehicle applications.
The Henkelman group collaborates with chemists, material scientists, and engineers to model existing mate-
rials, understand limitations in function at the atomic scale, and then use computational tools to search for
alternatives.
He is the recipient of an ICES Moncrief Grand Challenge Award.
Graeme HenkelmanCenter for Computational Molecular Sciences
2222
Marc HesseDepartment of Geological Sciences
Marc Hesse is an assistant professor in the Department of Geological Sci-
ences. He joined The University of Texas at Austin faculty in 2009 after
earning his Ph.D. in petroleum engineering from Stanford University and
a postdoctoral appointment in Tectonophysics at Brown University. Hesse
has been a Presidential Graduate Fellow at the Massachusetts Institute
of Technology where he earned a master’s degree in Oceanography, and
a David Crighton Fellow in the Department of Applied Mathematics and
Theoretical Physics at Cambridge University where he earned a master’s
degree in fluid flow from the BP-Institute for Multi-Phase Flow. He is cur-
rently a John A. and Katherine G. Jackson Centennial Teaching Fellow in
Geological Sciences.
Hesse’s research is focused on the modeling of multi-phase materials in the solid earth sciences. His work
combines field observations, experimental work, and theory to describe these complex systems mathemati-
cally. This commonly leads to new sets of governing equations and Hesse works closely with mathematicians
in ICES to develop appropriate and robust numerical models for these multi-phase systems. An example is
the description of partial melting and melt segregation in planetary interiors, a process that is responsible
for magmatic activity at plate boundaries and intra-plate hot spots, and that has global consequences for
mantle dynamics and plate tectonics.
23
Thomas J. R. Hughes earned his Ph.D. in engineering science from the
University of California, Berkeley. He is professor of aerospace engineering
and engineering mechanics, holder of the Computational and Applied
Mathematics Chair III, and affiliated with the ICES Center for Simulation-
Based Cardiovascular Engineering.
He joined UT Austin in 2002. He was previously a faculty member at the
University of California, Berkeley, the California Institute of Technology,
and Stanford University, where he served as chairman of the Division of
Applied Mechanics and chairman of the Department of Mechanical
Engineering.
His research interests are in computational mechanics, isogeometric analysis, stabilized and variational
multiscale methods, phase-field modeling, cardiovascular bioengineering, complex fluids, and turbulence.
Hughes is one of the most widely cited authors in scientific computing. He has received numerous national
and international awards for his research. He is a member of the U.S. National Academy of Sciences, the
U.S. National Academy of Engineering, the American Academy of Arts and Sciences, and a foreign member
of the Royal Society, the Austrian Academy of Sciences, and the Istituto Lombardo Accademia di Scienze e
Lettere. Hughes has received honorary doctorates from the following universities: Louvain, Pavia, Padua,
Trondheim, and Northwestern.
Thomas J.R. HughesCenter for Simulation-Based Cardiovascular Engineering
23
24
Loukas KallivokasCenter for Computational Geosciences and Optimization
Loukas Kallivokas is associate professor and the Carol Allen Fellow in the
Department of Civil, Architectural and Environmental Engineering. He is
affiliated with the ICES Center for Computational Geosciences and Optimi-
zation.
He earned his B.S. degree in civil engineering from the National Techni-
cal University of Athens in Greece, then served in the Greek Navy for two
years, before earning M.S. and Ph.D. degrees in civil engineering from
Carnegie Mellon University in 1990 and 1995, respectively.
His dissertation focused on absorbing boundaries for the modeling of transient acoustic fluid-structure
interaction problems. From 1995 to 1997, he was a National Science Foundation CISE postdoctoral fellow
and visiting assistant professor at Carnegie Mellon University, from 1998 to 1999 a scientist in the School of
Computer Science at Carnegie Mellon University, and in 1999 he joined The University of Texas at Austin as
an assistant professor.
His research interests are in the area of computational mechanics with particular emphasis on the modeling
of waves and their applications in various areas of science and engineering, including seismic hazard prob-
lems, acoustic and elastic scattering and radiation problems, geotechnical site characterization, geophysical
exploration, and non-destructive system condition assessment. His most recent work focuses on wave-driven
inverse medium, inverse scattering, and inverse source problems.
In 1998 he received the Allen Newell Medal for research excellence in the large-scale modeling of seismic
motion, and in 2003 a National Science Foundation CAREER award. From 2008 to 2011 he served as the
chair of the Computational Mechanics Committee of the American Society of Civil Engineering’s Engineer-
ing Mechanics Institute.
25
Chad Landis earned his Ph.D. in mechanical engineering from the Uni-
versity of California, Santa Barbara in 1999. He is associate professor of
aerospace engineering and engineering mechanics.
He joined The University of Texas at Austin in 2007 after serving on the
faculty at Rice University from 2000-2006. In 2002, he received a Faculty
Early CAREER Development Award from the National Science Founda-
tion and a Young Investigator Award from the Office of Naval Research.
In 2008, he received the Thomas J. R. Hughes Young Investigator Award
from the American Society of Mechanical Engineers.
Landis’ research deals with the mechanical behavior of materials. He is interested in the behavior of materi-
als that exhibit strong coupling between their mechanical, thermal, electrical and magnetic properties, and
more generally microstructural/defect evolution. His research seeks to analytically and computationally
model these complex material behaviors. Landis uses theoretical and computational techniques to investi-
gate the behavior of nano- to micro-scale material defect interactions and large-scale actuator and sensor
devices. He is currently investigating the domain switching and phase transformations that occur in ferro-
electric ceramics and ferromagnetic shape memory alloys. These materials have a wide range of applications
including sonar, structural health monitoring, non-volatile random access memory and energy harvesting.
Landis also studies crack propagation in brittle materials with applications to hydraulic fracturing.
Chad M. Landis Department of Aerospace Engineering and Engineering Mechanics
2626
Dmitrii E. MakarovCenter for Computational Molecular Sciences
Dmitrii Makarov is associate professor in chemistry and biochemistry, and
affiliated with the ICES Center for Computational Molecular Sciences. He
earned his B.S. in physics from the Moscow Institute of Physics and Tech-
nology, and his Ph.D. in theoretical physics, from the Institute of Chemical
Physics in Moscow, Russia.
He has received the International Science Foundation Award, the College
of Natural Sciences Teaching Excellence Award, and the ICES Moncrief
Grand Challenge Faculty Award.
His research is in the broadly defined field of theoretical and computational chemical physics. Currently, the
main focus of his group is on theory and computer simulations of biomolecules (DNA and proteins). This
involves development of computational algorithms that bridge the gap between computationally accessible
and biologically relevant timescales, an effort that involves extensive collaborations with several other ICES
groups. His group is also interested in developing simpler theoretical models allowing them to rationalize
their computational results and connect to experiments. Much of their work is carried out in collaboration
with experimental biophysics groups.
Specific recent research topics include protein translocation, single-molecule dynamics with application to
unfolded proteins, biosensor design, and mechanical properties of proteins. His group is also involved in
developing computational tools for mechanochemistry, a branch of chemistry where chemical reactivity is
modulated by mechanical forces.
27
Mark E. Mear earned his Ph.D. in engineering science from Harvard Uni-
versity in 1986. He joined the faculty of the Department of Aerospace En-
gineering and Engineering Mechanics at The University of Texas at Austin
in 1987. Mear is affiliated with the ICES Center for Subsurface Modeling.
Mear researches theoretical and applied solid mechanics, with an empha-
sis on the mechanical behavior of materials and fracture mechanics. He
focuses on the development of numerical techniques for three-dimensional
fracture analysis. He also works in the field of micromechanics, model-
ing the elastic and inelastic behavior of materials that are reinforced by
particulates or weakened by voids and cracks.
His research interests include development of numerical techniques for fracture analysis, integral equation
modeling of discontinuities in elastic solids, micromechanical modeling, and development of constitutive
relations for damaged materials
Mark MearCenter for Subsurface Modeling
27
2828
Robert D. MoserDirector, Center for Predictive Engineering and Computational Sciences (PECOS)
Robert D. Moser holds the W. A. “Tex” Moncrief Jr. Chair in Computational
Engineering and Sciences and is professor of mechanical engineering in
thermal fluid systems. He serves as the director of the ICES Center for
Predictive Engineering and Computational Sciences (PECOS) and deputy
director of ICES. Moser earned his Ph.D. in mechanical engineering from
Stanford University. Before coming to The University of Texas at Austin,
he was a research scientist at the NASA-Ames Research Center and then a
professor of theoretical and applied mechanics at the University of Illinois.
Moser conducts research on the modeling and numerical simulation of
turbulence and other complex fluid flow phenomena. He has been a leader in the use of direct numerical
simulation for investigating and modeling turbulent flows, and the application of such direct simulations
to the development of large eddy simulation models. He has also been active in the development of highly
accurate high-resolution numerical approximations for use in simulation of turbulence and other complex
flows. Finally, Moser has been working to develop new approaches for the validation of computational mod-
els and to assess their reliability. He has pursued applications to such diverse systems as reentry vehicles,
solid propellant rockets, micro-air vehicles, and the human cardiovascular system. His research is funded
by the National Science Foundation, the U.S. Air Force Office of Scientific Research, the U.S. Department of
Energy, and NASA.
Moser serves as an associate editor for “Theoretical and Computational Fluid Dynamics” and “Physics of
Fluids.” He is a fellow of the American Physical Society, and was awarded the NASA Medal for Exceptional
Scientific Achievement.
29
Peter MuellerCenter for Numerical Analysis
Peter Mueller received his Ph.D. in statistics from Purdue University. He
is a professor of mathematics with an appointment as core faculty of the
Division of Statistics and Scientific Computation. He is a member of the
ICES Center for Numerical Analysis.
Mueller has authored more than 120 scientific and technical publications,
and has served on the editorial board of three scientific journals and
technical series.
His research accomplishments include the development of novel
probability models for non-parametric Bayesian inference, principled Bayesian multiplicity adjustments,
simulation-based approaches to Bayesian decision problems, and innovative Bayesian clinical trial designs.
Mueller’s areas of expertise include the development and analysis of simulation-based methods for Bayesian
inference, including posterior inference and design, and applications in biostatistics and bioinformatics.
29
3030
J. Tinsley OdenLeader, Multiscale Modeling Group
J. Tinsley Oden is associate vice president for research and director of the
Institute for Computational Engineering and Sciences (ICES). He holds
the Cockrell Family Regents’ Chair No. 2 in Engineering and the Peter
O’Donnell Chair in Computer Systems. He is a professor of aerospace
engineering and engineering mechanics, a professor of mathematics, and
a professor of computer science. He leads the ICES Multiscale Modeling
Group.
He is a member of the U.S. National Academy of Engineering and the
American Academy of Arts and Sciences. He is an author and editor of
over 500 publications, including 460 papers and 53 books. He is an editor of the “Journal of Computer
Methods in Applied Mechanics and Engineering” and serves on the editorial boards of 28 other scientific
journals. He has supervised 34 M.S. students and 42 Ph.D. students.
Oden’s research focuses on contemporary topics in computational engineering and mathematics, including
a posteriori error estimation, model adaptivity, multiscale modeling, verification and validation of computer
simulations, uncertainty quantification and adaptive control, with applications to modeling semi-conductor
manufacturing processes, tumor growth, and dynamic data-driven simulation systems for control of laser
treatment of cancer.
His many honors for research accomplishments include the title of Chevalier dans l’ordre des Palmes Aca-
demiques from the French government, the Worcester Reed Warner Medal, the Melvin R. Lohmann Medal,
the Theodore von Karman Medal, the John von Neumann Medal, the Newton-Gauss Medal, the Stephen P.
Timoshenko Medal, the O.C. Zienkiewicz Medal, and six honorary doctorates. He is an honorary member of
the American Society of Mechanical Engineers and a fellow of seven international scientific/technical societies.
31
31
Dewayne E. Perry is professor of electrical and computer engineering and
holds the Motorola Regents’ Chair of Software Engineering. The first 18
years of his career were spent as a professional programmer and software
engineer, with the latter part combining both research (as visiting faculty in
Computer Science at Carnegie Mellon University) and consulting in software
architecture and design. In 1978 he received his Ph.D. in computer science
from Stevens Institute of Technology. The next 16 years were spent doing
software engineering research at Bell Laboratories in Murray Hill, New
Jersey. His appointment at The University of Texas at Austin Department of
Electrical and Computer Engineering began in January 2000.
His current research interests focus on various aspects of software architecture, empirical studies in software
engineering, software system analysis, and software evolution. His specific interests in software architecture
include the use of architecture rationale and design intent in system evolution and the creation of autonomic
systems, constraint-based architecture analysis and evaluation, and controlling dynamic architecture evolution.
His interest in software evolution includes tools and analyses that help understand and direct evolutionary
changes in software systems.
He has been co-editor in chief of Wiley’s “Software Process: Improvement & Practice;” a former associate
editor of IEEE “Transactions on Software Engineering;” a member of ACM SIGSOFT and IEEE Computer
Society; and has served as organizing chair, program chair, and program committee member for various
software engineering conferences.
He received an ACM SigSoft 2011 Retrospective Impact Award for his 1992 paper “Foundations for the Study
of Software Architecture” which for the past decade or more has been the most cited software engineering
paper.
Dewayne E. PerryDepartment of Electrical and Computer Engineering
3232
Keshav PingaliDirector, Center for Distributed and Grid Computing
Keshav Pingali holds the W. A. “Tex” Moncrief Chair of Grid and Distrib-
uted Computing in ICES, and he is a professor of computer science. He is
also director of the ICES Center for Distributed and Grid Computing.
Pingali received his B.Tech degree from the Indian Institute of Technology,
Kanpur, India, and his Sc.D. from Massachusetts Institute of Technology.
Before moving to The University of Texas at Austin, he was a professor in
the Department of Computer Science at Cornell University, where he held
the India Chair of Computing.
Pingali’s research has focused on programming languages and compiler technology for program understand-
ing, restructuring, and optimization. His group is known for its contributions to memory-hierarchy opti-
mization; some of these have been patented and are in use in industrial compilers. His current research is
focused on compilers, runtime systems, and tools for programming multicore processors.
Pingali is a fellow of IEEE and a fellow of the American Association for the Advancement of Science. He
serves on the National Science Foundation CISE Advisory Committee. He was the co-editor-in-chief of the
“ACM Transactions on Programming Languages and Systems” (TOPLAS) between 2009 and 2011, and he
serves on the editorial boards of several journals including the “International Journal of Parallel Processing”
and “Distributed Computing.”
33
33
William H. Press is a computer scientist and computational biologist
with broad interests in the physical and biological sciences. He holds the
Warren J. and Viola Mae Raymer Chair in the Department of Computer
Science and in the School of Biological Sciences, Integrative Biology
Section. Press is also a senior fellow emeritus at the Los Alamos National
Laboratory.
Press was for many years professor of astronomy and physics at Harvard
University, leaving to become deputy laboratory director at Los Alamos
National Laboratory, where he remained for 10 years before coming to
the university. From 1998 to 2004, Press was deputy laboratory director for science and technology at Los
Alamos National Laboratory, with direct responsibility for ensuring the scientific quality of the laboratory’s
technical programs.
In his research career, Press has published more than 150 papers in the areas of computational biology,
theoretical astrophysics, cosmology, and computational algorithms. He is senior author of the “Numerical
Recipes” textbooks on scientific computing, with more than 400,000 hardcover copies in print. Elected
to the National Academy of Sciences in 1994, he became a founding member of NAS’s Computer and
Information Sciences section. Press has also been elected to the American Academy of Arts and Sciences,
and to the Council on Foreign Relations.
Press was appointed vice chair of President Obama’s Council of Advisors on Science and Technology. He
served as the 165th president of the American Association for the Advancement of Science, the world’s
largest general scientific society.
William H. PressDepartment of Computer Science and School of Biological Sciences
3434
Venkat RamanCenter for Predictive Engineering & Computational Sciences (PECOS)
Venkat Raman is associate professor of aerospace engineering and
engineering mechanics and affiliated with the ICES Center for Predictive
Engineering & Computational Sciences (PECOS). He earned his Ph.D. in
chemical engineering from Iowa State University in 2003. He joined The
University of Texas at Austin in 2005 following a postdoctoral fellowship
at the Center for Turbulence Research at Stanford University.
He works in the area of computational reacting flows, focusing on the
development of novel computational models for aircraft and stationary gas
turbines, supersonic vehicles, and combustion-based synthesis of nano
materials.
Raman received the National Science Foundation CAREER award in 2008.
35
35
Pradeep Ravikumar is an assistant professor who leads the Statistical
Machine Learning group in the Department of Computer Science. He is
also affiliated with the ICES Computational Visualization Center and UT’s
Division of Statistics and Scientific Computation.
He received his B.Tech. in computer science and engineering from the
Indian Institute of Technology, Bombay, and his Ph.D. in machine learn-
ing from the School of Computer Science at Carnegie Mellon University
(CMU). He was then a postdoctoral scholar in the Department of Statistics
at the University of California, Berkeley.
His thesis received honorable mention in the 2008 Association for Computing Machinery’s SIG Knowledge
Discovery and Data Doctoral Dissertation Award and the CMU School of Computer Science Distinguished
Dissertation award. He was also selected as a 2007 Siebel Scholar, and an Indian National Talent Search
Scholar. He is the author of over 30 publications with a total of around 2,000 citations. He has served as the
area chair for numerous premier conferences in statistical machine learning, such as the International Con-
ference in Machine Learning, the International Conference on Artificial Intelligence and Statistics, and the
Neural Information Processing Systems Conference, and is a member of the editorial board of the “Machine
Learning Journal.”
Ravikumar’s main area of research is in statistical machine learning. The core problem here combines the
statistical imperative of inferring reliable conclusions from limited observations or data with the computa-
tional imperative of doing so with limited computation. Of particular interest are modern settings where
the dimensionality of data is high, and simultaneously achieving these twin objectives is difficult. His recent
research has been on the foundations of such statistical machine learning, with particular emphasis on
graphical models, high-dimensional statistical inference, and optimization.
Pradeep RavikumarComputational Visualization Center
3636
Gregory J. RodinMultiscale Modeling Group
Gregory J. Rodin was born and raised in Saint Petersburg, Russia (formerly
Leningrad, USSR). He studied civil engineering at Saint Petersburg Techni-
cal University from 1974 to 1980. He obtained his M.S. and Ph.D. degrees
in mechanical engineering from Massachusetts Institute of Technology in
1984 and 1986 under the supervision of Professor David M. Parks.
Gregory Rodin is a professor of aerospace engineering and engineering
mechanics at The University of Texas at Austin, which he joined in 1986.
He is also affiliated with ICES Multiscale Modeling Group and Texas
Materials Institute.
Rodin is an expert in the field of computational micromechanics. He has published papers
in leading archival journals in applied mathematics, material sciences, mechanics, numerical methods, and
physics. He has also presented more than 100 invited lectures, mostly in the United States and European
Union. He held visiting appointments at École Polytechnique (France), The University of Liverpool (UK),
and The University of Stuttgart (Germany).
Current research topics include models and numerical methods for lattice structures, hierarchical represen-
tations, and viscous multi-phase flows.
37
37
Fernando Rodriguez-Villegas is professor of mathematics and a member
of the ICES Applied Mathematics Group. He obtained the degree of
Licenciado en Ciencias Matematicas from the Universidad de Buenos
Aires, Argentina, in 1985 and a Ph.D. in mathematics from The Ohio State
University in 1990.
He was a junior faculty member at Princeton University before joining
the faculty at The University of Texas at Austin in 1998. He held visiting
positions at the Institute for Advanced Study; the Max Planck Institut,
Bonn; Harvard University; the Universidad de Buenos Aires, Argentina;
Universite de Bordeaux I and the Universite de Paris VI, France; and was a visiting fellow at All Souls and
Wadham Colleges at Oxford University, UK.
His main research interests are in number theory, algebra and combinatorics, with an emphasis on their
computational aspects. He was a John Guggenheim Memorial Foundation and Alfred P. Sloan Research
Fellow; his research is currently funded by the Clay Mathematics Institute and the National Science
Foundation.
Rodriguez-Villegas has written numerous research articles and one book, “Experimental Number Theory,”
advocating the use of the computer as a research and discovery tool in mathematics. He has given many
popular talks around campus and abroad; he has supervised 14 graduate students.
Fernando Rodriguez-Villegas Applied Mathematics Group
3838
Peter RosskyDirector, Center for Computational Molecular Science
Peter Rossky earned his B.A. degree in chemistry summa cum laude from
Cornell University and his Ph.D. in chemical physics from Harvard. After
postdoctoral research, he joined the university. He holds the Marvin K.
Collie-Welch Regents Chair in Chemistry in the Department of Chemistry
& Biochemistry, and is professor of chemical engineering. He also serves as
the director of the ICES Center for Computational Molecular Sciences, and
is a member of the ICES Multiscale Modeling Group.
His research focuses on understanding the atomistic structure and dynam-
ics of chemical transformations in the condensed phase, with a focus on
the impact on these of liquid and amorphous material environments. His group has developed algorithms
that underlie the ability to study the quantum statistical and dynamic behaviors using computer simulation.
Current research interests emphasize solvation of biomolecular systems, quantum effects on chemical reac-
tions, and the elements of electronic excited state evolution in organic photovoltaic materials.
He has received a number of honors recognizing his contributions, including election to the American
Academy of Arts and Sciences and the National Academy of Sciences, and receipt of the American Chemical
Society Hildebrand Award in the Experimental and Theoretical Chemistry of Liquids.
39
39
Michael Sacks is professor of biomedical engineering and holder of the W.
A. “Tex” Moncrief, Jr. Simulation-Based Engineering Science Chair I. He is
also director of the ICES Center for Cardiovascular Simulation-based En-
gineering. Sacks formerly held the John A. Swanson Chair in the Depart-
ment of Bioengineering at the University of Pittsburgh. He earned his B.S.
and M.S. in engineering mechanics from Michigan State University, and
his Ph.D. in biomedical engineering (biomechanics) from The University of
Texas Southwestern Medical Center at Dallas.
In 2006, he was selected as one of the Scientific American top 50 scien-
tists. In 2009, he won the Van C. Mow Medal from the American Society of Mechanical Engineers (ASME)
Bioengineering Division and the Chancellor’s Distinguished Research Award at the University of Pittsburgh.
He is a fellow of ASME and the American Institute for Medical & Biological Engineering, and an inaugural
fellow of the Biomedical Engineering Society. He is currently editor of the “Journal of Biomechanical Engi-
neering,” and serves on the editorial board for 27 other journals.
He is a world authority on cardiovascular biomechanics, with a focus on the quantification and simulation
of the structure-mechanical properties of native and engineered cardiovascular soft tissues. He is a leading
authority on the mechanical behavior and function of heart valves, including the development of the first
constitutive models for these tissues using a structural approach. He is also active in the biomechanics of
engineered tissues, and in understanding the in-vitro and in-vivo remodeling processes from a functional
biomechanical perspective. His research includes multiscale studies of cell/tissue/organ mechanical in-
teractions in heart valves and he is particularly interested in determining the local stress environment for
heart valve interstitial cells. His recent research has included developing novel constitutive models of right
ventricular myocardium that allow for the individual contributions of the myocyte and connective tissue
networks.
Michael Sacks Director, Center for Simulation-Based Cardiovascular Engineering
4040
Richard TsaiCenter for Numerical Analysis
Richard Tsai earned his Ph.D. in mathematics from the University of
California, Los Angeles. He is an associate professor in mathematics and a
faculty member affiliated with the ICES Center for Numerical Analysis.
His current research interests include multiscale modeling and computa-
tion, inverse source problems, interface problems, robotic path planning
problems involving visibility optimization, and image processing. His
current works involve applications in crystal growth, porous media flow,
seismic imaging, robotics, oscillatory mechanical systems, and endoscopic
image analysis.
He is a recipient of an Alfred Sloan Research Fellowship and a FEMLAB prize.
41
41
Robert van de Geijn is professor of computer science and member of the In-
stitute for Computational Engineering and Sciences. He received his Ph.D.
in Applied Mathematics from the University of Maryland, College Park.
His interests are in linear algebra, high-performance computing, parallel
computing, and formal derivation of algorithms.
He heads the FLAME project, a collaboration between UT Austin, Univer-
sidad Jaume I (Spain), and RWTH Aachen University (Germany). This
project pursues foundational research in the field of linear algebra librar-
ies and has led to the development of the libflame library, a modern, high-performance dense linear algebra
library that targets both sequential and parallel architectures. One of the benefits of this library lies with its
impact on the teaching of numerical linear algebra, for which van de Geijn received the UT President’s Asso-
ciates Teaching Excellence Award. He has published several books and more than 100 refereed publications.
Robert van de Geijn Department of Computer Science
4242
Mary F. Wheeler Director, Center for Subsurface Modeling
Mary Fanett Wheeler is a world-renowned expert in computational
science. She has been a member of the faculty at The University of Texas
at Austin since 1995, holds the Ernest and Virginia Cockrell Chair and is
a professor in the departments of aerospace engineering and engineering
mechanics, and petroleum and geosystems engineering. She is also
director of the ICES Center for Subsurface Modeling. Before joining
the faculty at UT Austin, Wheeler was the Noah Harding Professor in
engineering at Rice University.
Wheeler’s research group employs computer simulations to model the
behavior of fluids in geological formations. Her particular research interests include numerical solution of
partial differential systems with application to the modeling of subsurface flows and parallel computation.
Applications of her research include multiphase flow and geomechanics in reservoir engineering,
contaminant transport in groundwater, sequestration of carbon in geological formations, and angiogenesis
in biomedical engineering. Wheeler has published more than 250 technical papers and edited seven books;
she is currently an editor of seven technical journals.
Wheeler is a member of the Society of Industrial and Applied Mathematics and the Society of Petroleum
Engineers. She is a fellow of the International Association for Computational Mechanics, and is a certified
professional engineer in Texas. She was co-organizer of the SIAM Activity Group in the Geosciences, and
alongside Dr. Hans van Duijn, started the “Journal on Computational Geosciences.”
Currently Wheeler serves on the board of governors for Argonne National Laboratory and on the advisory
committees for Pacific Northwest National Laboratory and CASL. In addition she serves as associate director
of CEFES, a DOE ERFC Center.
In 1998, Wheeler was elected to the National Academy of Engineering. In 2006, she received an honorary
doctorate from Technische Universiteit Eindhoven in the Netherlands. In 2008, she received an honorary
doctorate from the Colorado School of Mines. In 2009, Wheeler was honored with the SIAM Geosciences
Career Prize, election as a SIAM Fellow, and the SIAM Theodore von Kármán Prize. In 2010, she was elected
to the American Academy of Arts and Sciences and in 2011 she received a Humboldt award.
43
43
Ali E. Yilmaz earned his B.S. degree in electrical engineering from Bilkent
University, Turkey, in 1999, and his M.S. and Ph.D. degrees in electrical
and computer engineering from the University of Illinois at Urbana-
Champaign, in 2001 and 2005, respectively. He is an assistant professor of
electrical and computer engineering.
Yilmaz joined the university in 2006. His current research interests
include computational electromagnetics (particularly fast frequency- and
time-domain integral equation solvers), parallel algorithms, antenna and
scattering analysis, microwave circuits, electromagnetic compatibility, and
bioelectromagnetics.
Yilmaz is an associate editor of the IEEE “Transactions on Antennas and Propagation” and a member of the
International Union for Radio Science (URSI) Commission B.
Ali E. Yilmaz Department of Electrical and Computer Engineering
4444
Lexing YingCenter for Numerical Analysis
Lexing Ying is an associate professor of mathematics, and affiliated with
the ICES Center for Numerical Analysis. He studied computer science and
applied mathematics at Shanghai Jiao Tong University, where he received
a B.S. in 1998, and New York University, where he received an M.S. in
2000 and a Ph.D. in 2004. He was a postdoctoral scholar at the California
Institute of Technology for two years, before joining the university in 2006.
Ying’s research focuses on developing fast and accurate numerical algo-
rithms for problems in acoustics and electromagnetics, computational
seismology, computational material sciences, and transport theory. With
colleagues and students, he has made significant contributions in these areas, including kernel independent
fast multi-pole methods, directional fast multi-pole method and butterfly algorithm for oscillatory kernels,
efficient preconditioners for time-harmonic wave equations, and efficient methods for electronic structure
calculation.
He has authored more than 40 scientific and technical publications, and served on the editorial board of
“Communications in Mathematical Sciences.” He was awarded the Sloan Research Fellowship in 2007, a
National Science Foundation CAREER Award in 2009, and the Feng Kang Prize in Scientific Computing from
the Chinese Academy of Sciences in 2011.
The University of Texas at Austin
1 University StationAustin, Texas 78712
(512) 471-3312
www.ices.utexas.edu
