Program in Computational Science and Engineering

CSE Minor
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CSE Field Members


Tomas Arias
Physics

522 Clark Hall
(607) 255-0450
muchomas@ccmr.cornell.edu

Computational studies from first principles of mechanical properties of materials, electronic and spectroscopic signatures of extended crystalline defects, properties of nanoscale devices and fundamental processes involved in crystal growth. Development of new techniques for these studies, including the use of wavelets in scientific computing and novel design principles for parallel software.
 


Wilkins Aquino
Civil and Environmental Engineering

313 Hollister Hall
(607) 255-3294
WA27@cornell.edu

 

Inverse problems, computational non-destructive evaluation, computational solid mechanics, large scale scientific computing.

 

David Bindel
Computer Science

5137 Upson Hall
607-255-5395
bindel@cs.cornell.edu

Microelectromechanical systems (MEMS), numerical linear algebra, finite element analysis, floating point computation and network tomography.

 

Adam Bojanczyk
Electrical and Computer Engineering

335 Rhodes Hall
607-255-4296
adamb@ece.cornell.edu

Design of parallel algorithms and architectures for signal processing, new parallel algorithms for real-time matrix computations; techniques for mapping composite tasks onto parallel architectures; algorithms for space-time adaptive processing of airborne radar data.

 


David Caughey
Mechanical and Aerospace Engineering

248 Upson Hall
(607) 255-3372
dac5@cornell.edu

Computational techniques for the solution of problems in fluid mechanics and aerodynamics, including transonic flows with shock waves, turbulent flows with chemical reaction, and unsteady flows with fluid-structure interactions. The goal of this research is to develop efficient techniques for the solution of both ideal (i.e., inviscid) and dissipative (i.e., viscous) approximations to the equations of fluid mechanics for these problems.
 

Garnet K.-L.  Chan
Chemistry and Chemical Biology

244 Baker Laboratory
(607) 254-6523
gc238@cornell.edu

Electronic structure and dynamics of complex processes. Developing new and more powerful theoretical techniques which enable us to describe strong electronic correlation problems. Of particular theoretical interest are the construction of fast (polynomial) algorithms to solve the quantum many-particle problem, and the treatment of correlation in time-dependent processes.

 

Paulette Clancy
Chemical and Biomolecular
Engineering

124 Olin Hall
(607) 255-6331
pc@cheme.cornell.edu

Multiscale computational studies of traditional (silicon-based) and non-traditional (organic) semiconductors, especially the optimization and understanding of manufacturing processes used to fabricate electronic devices and design potentially improved semiconductor materials. Major emphasis is on atomic-scale modeling, but multi-scale techniques are used to cover multiple length- and time- scales.
 


Lance Collins
Mechanical and Aerospace Engineering

246 Upson Hall
(607) 255-0379
lc246@cornell.edu

Turbulence physics, direct numerical simulations, spectral modeling, and probability density function modeling. Areas of interest include: cloud physics; aerosol transport, clustering and high-speed particle tracking; premixed and non-premixed combustion; scalar mixing modeling with/without chemical reaction; polymer drag reduction; fundamental study of homogeneous turbulent shear flow; and high-performance computing.
 

Ashim Datta
Biological and Environmental Engineering

208 Riley-Robb Hall
(607) 255-2482
akd1@cornell.edu

Modeling of heat and mass transfer, fluid flow and some solid mechanics in biological and biomedical processes.  We make physics-based numerical models of food processes to be able to optimize product, process and equipment for improved quality and safety.  Also, these models can be used to build automated appliances/ machinery that provide custom quality.  In biomedical applications, the goal of modeling is to obtain better insight into procedures and be able to optimize them.

 


Paul Dawson

Mechanical and Aerospace Engineering

196 Rhodes Hall
(607) 255-3466
prd5@cornell.edu

Mechanics and materials science associated with deformation processes of polycrystalline materials. The general aim of the research is to integrate modern constitutive theories for the mechanical behavior of these materials into rigorous mechanics frameworks and to solve the resulting systems of equations by numerical techniques. The end goal is a more fundamental understanding of the relation between a material's microstructure state and its derivative mechanical properties.

 

Oliver Desjardins
Mechanical and Aerospace Engineering

250 Upson Hall
(607) 255-4100
olivier.desjardins@cornell.edu

Large-scale numerical modeling of turbulent reacting multiphase flows with industrial application using world-class parallel computers. Numerical methods and models to investigate the multi-scale and multi-physics fluid mechanics problems that arise in a range of engineering devices, such as combustors or biomass reactors.


 

Peter Diamessis
Civil and Environmental Engineering

105 Hollister Hall
(607)-255-1719
pjd38@cornell.edu

My research focuses on the numerical simulation of small-scale fluid flow processes in the natural environmental, particularly, the interplay between turbulence and internal gravity waves, and the resulting mixing, in stratified waters near and away from boundaries. As a result, am interested in higher-ord (spectral) accuracy element-based methods, parallel large-scale computation and the associated numerical linear algebra tools.

 

Chris Earls
Civil and Environmental Engineering

365 Hollister Hall
(607) 255-1652
cje23@cornell.edu

the development and application of computational mechanics techniques for the study of complex structural systems. Structural systems of interest can be from any domain, including: civil structures, ships, aircraft, and biological systems. Structural health monitoring and the solution of complex inverse problems are important themes in Earls' research program; as are structural stability and metal structure behavior.

 

Steve Ellner
Ecology and Evolutionary Biology

E339A Corson Hall
(607) 254-4221
spe2@cornell.edu

Theoretical population biology and evolutionary ecology. Modeling, mathematics, and simulation in collaboration with experimental biologists. The interface between theory, modeling, and empirical ecology, and the use of dynamic models as tools for identifying the mechanisms behind the observed dynamics of ecological systems.

 


Fernando Escobedo
Chemical and Biomolecular Engineering

377 Olin Hall
(607) 255-8243
escobedo@cheme.cornell.edu


The development and application of modeling and simulation methods to elucidate the structure-property relationship of soft materials. Construction of statistical mechanical models and solution via molecular dynamics or Monte Carlo methods. “Synthesis” of Monte Carlo methods into generalized frameworks.

 


Greg Ezra
Chemistry and Chemical Biology

G-12 Baker Laboratory
(607) 255-3949
gse1@cornell.edu

Bound state and reaction dynamics of molecular and atomic systems; intramolecular vibrational energy transfer, unimolecular dissociation, and collisional energy transfer. Classical trajectory methods, semiclassical theories, and direct solution of the nuclear Schrodinger equation are employed as appropriate to investigate fundamental problems in intramolecular and collision dynamics.
 

Oliver Gao
Civil and Environmental Engineering

324 Hollister Hall
(607) 254-8334
hg55@cornell.edu

Transportation systems, environmenal science (especially air quality and climate change), energy, and sustainable development. Sustainable food systems, quantifying and mitigating green-house gas emissions from food supply chains.


 

Johannes Gehrke
Computer Science

4105B Upson Hall
(607) 255-1045
johannes@cs.cornell.edu

Data mining and database systems. Knowledge discovery from large databases, algorithms for privacy-preserving data mining and change detection over data streams, database systems for querying sensor networks with thousands of small wireless sensors.
 

John Guckenheimer
Mathematics

565 Malott Hall
(607) 255-8290
gucken@cam.cornell.edu

Dynamics of systems with multiple time scales, algorithm development for problems involving periodic orbits and upon applications to the neurosciences, animal locomotion and control of nonlinear systems.
 

Shane Henderson
Operations Research

230 Rhodes Hall
(607) 255-9126
sgh9@cornell.edu

Discrete-event simulation, from input analysis (for example, extension of simple input models to capture correlation between inputs) to output analysis (for example, using martingales in simulation to achieve variance reduction). The interplay between optimization and simulation. Structured simulation optimization, where the optimization problem enjoys certain properties, like convexity or quasi convexity, that can be exploited to develop algorithms that are robust and fast. Applications in this area include radiation treatment planning, call center planning, yacht match racing, ambulance deployment, adaptive Monte Carlo and policy identification in complex networks.

 

Tony Ingraffea
Civil and Environmental Engineering

322 Hollister Hall
(607)255-3336
ARI1@cornell.edu

Rock mechanics, structural mechanics, fracture mechanics, computational mechanics.
 

Yong Joo
Chemical and Biomolecular Engineering

340 Olin Hall
(607) 255-8591
ylj2@cornell.edu

Integration of continuum analysis with molecular details in polymeric materials processing. Areas of current interest include the microstructural rheology and processing of complex fluids, the formation of nanofibers via electrospinning , the occurrence of purely elastic instabilities in polymer flows, and the solid state processing of advanced polymeric materials. Comparison of experimental results with numerical simulation.


 

Sid Leibovich
Mechanical and Aerospace Engineering

246 Upson Hall
(607) 255-3477
SL23@cornell.edu

Problems in fluid mechanics of highly vortical flows and geophysical flows. These flows typically involve processes of instability and transition, or wave propagation.
 

Peter Lepage
Physics

147 Goldwin Smith Hall
(607) 255-4146
gpl@mail.lepp.cornell.edu

Quantum field theory; renormalization techniques and effective field theory, with applications in particle physics, condensed matter physics, and nuclear physics; numerical quantum field theory and lattice QCD; Standard Model physics; heavy-quark physics; high-precision atomic physics and QED; computational physics and physics pedagogy

 


Adrian Lewis
Operations Research

235 Upson Hall
(607) 255-9147
aslewis@orie.cornell.edu

Variational analysis and nonsmooth optimization, with a particular interest in optimization problems involving eigenvalues.
 


Hod Lipson
Mechanical and Aerospace Engineering and CIS

216 Upson Hall
607) 255-1686 (Office)
(607) 254- 8940 (Lab)
Hod.Lipson@cornell.edu

Computer aided design and manufacturing: Fully automated Design, and Fully automated Manufacturing. Primarily biologically-inspired approaches, as they bring new ideas to engineering and new engineering insights into biology. 
   

Philip Liu
Civil and Environmental Engineering

118 Hollister Hall
(607) 255-5090
pll3@cornell.edu

Fluid mechanics. Wave hydrodynamics, coastal engineering, tsunami effects, numerical methods

 

Roger Loring
Chemistry and Chemical Biology

208B Baker Laboratory
(607) 255-4873
rfl2@cornell.edu

The dynamics of molecules in condensed phases control phenomena ranging from biological processes to the course of liquid phase chemical reactions to the mechanical properties of materials. Our group develops theoretical methods for interpreting and predicting the motions of both small molecules and macromolecules in the liquid state. A principal research area is the development of semiclassical approximations to quantum mechanics that can be applied to the interpretation of multidimensional infrared spectroscopy of biomolecules.
 


Subrata Mukherjee
Theoretical and Applied Mechanics

220 Kimball Hall
(607) 255-7143
sm85@cornell.edu

Linear and nonlinear computational mechanics, with primary emphasis on the applications of the boundary element and finite element methods; meshless methods; integral equation methods; viscoplasticity and for large-strain large-rotation problems, sensitivity analysis; boundary contour and boundary node methods.
 


Chris Myers
Computational Biology Service Unit

626 Rhodes Hall
(607) 255-5894
crm17@cornell.edu

Molecular and cell biology (specifically, the functioning of regulatory and signaling networks in cells) and to related questions concerning the organization and evolution of complex, adaptive, information processing systems.

 


Steve Pope
Mechanical and Aerospace Engineering

254 Upson Hall
(607) 255 4314
pope@mae.cornell.edu

Models and computational methodologies for the calculation of turbulent and reactive flows, especially turbulent combustion. For non-reactive turbulent flows, CFD plays an important role in the design of engineering equipment, such as aircraft wings and gas-turbine compressors. While CFD is also used for turbulent combustion, the models currently in use in industry fall far short of the required accuracy and level of description.
 


Phillip Protter

Operations Research

219 Rhodes
(607) 255-9133
pep4@cornell.edu

Theoretical and applied probability, mathematical finance theory (asset pricing, liquidity risk, credit risk, etc.), stochastic numerical analysis, stochastic analysis and its applications, weak convergence, Markov process theory, and filtering theory. Simulation and approximation of solutions for stochastic differential equations.

 

Alfred H. Schatz
Mathematics
557 Malott Hall
(607) 255-2318
schatz@math.cornell.edu

The analysis and construction of finite element methods for the approximate solution of partial differential equations. In particular, investigating both the local behavior of such matters and another phenomena associated with them called superconvergence.

 


Jim Sethna
Physics

521 Clark Hall
(607) 255-5132
sethna@lassp.cornell.edu

Materials science, including crackling noise and avalanches in magnetic systems, tweed in shape-memory alloys, accelerated simulations of surface growth, Arrhenius law for double jumps; glasses, including metallic glasses, low temperature glasses, slow relaxation, and scaling theories of the glass transition; disordered systems.
 

David Shalloway
Molecular Biology and Genetics

265 Biotechnology Building
(607) 254-4896
dis2@cornell.edu

Methods from statistical physics to dissect the behavior of these complex systems according to size scale. Computer algorithms for hierarchical macrostate analysis.
 

David Shmoys
Operations Research

232 Rhodes Hall
(607) 255-9146
shmoys@orie.cornell.edu

Design and analysis of efficient algorithms for discrete optimization problems, in particular, approximation algorithms for NP-hard and other computationally intractable problems, the development of algorithmic tools that lead to approximation algorithms for which good performance guarantees can be proved.
 


Chris Shoemaker
Civil and Environmental Engineering

210 Hollister Hall
(607)255-9233
Cas12@cornell.edu

Cost-effective, robust solutions for environmental problems by using optimization, modeling and statistical analyses of resource allocation and operations management; development of numerically efficient nonlinear optimization algorithms utilizing high performance computing and algorithm applications to complex, nonlinear environmental systems. Application areas include physical and biological groundwater remediation, pesticide management, ecology, and surface water pollutant transport in large watersheds.
 


Paul Steen
Chemical and Biomolecular Engineering

346 Olin Hall
(607) 255-4749
phs7@cornell.edu

Stability analysis when a small disturbance triggers a dramatic change. Examples include breaking of an object (mechanics), the thermal runaway of a reactor (chemistry), the reversal of the earth's magnetic field (geophysics), and the onset of global climate change (climatology). Instability results from an imbalance that carries the system away from the sometimes delicate balance represented by equilibrium.
 


Saul Teukolsky
Physics, Astronomy

608 Space Sciences Building
(607) 255-5897
saul@astro.cornell.edu

General relativity and relativistic astrophysics; numerical relativity; black hole and neutron star physics; computational physics.
 


Mike Todd
Operations Research

229 Rhodes Hall
(607) 255-9135
mikeTodd@orie.cornell.edu

Algorithms for linear and convex programming, particularly semidefinite programming, analysis of interior-point methods, homotopy methods, probabilistic analysis of pivoting methods, and extensions of complementary pivoting ideas to oriented matroids.
 


Huseyin Topaloglu
Operations Research

223 Rhodes Hall
(607) 255-0698
ht88@cornell.edu

Large-scale resource allocation problems under uncertainty. Techniques involve dynamic programming, stochastic optimization, machine learning and stochastic approximation to tackle problems whose conventional dynamic programming formulations involve high-dimensional vector-valued state variables. Research exploits structural properties of the underlying problem (such as monotonicity, convexity, submodularitry) to enhance performance. Applications in the areas of dynamic fleet management and inventory control. Other research interests include pricing problems that arise in conjunction with the allocation of resources over complex physical networks under uncertainty. Such problems arise in freight, data transmission capacity and airfare pricing.
 


Les Trotter
Operations Research

235 Rhodes Hall
(607) 255-5360
trotter@orie.cornell.edu

Integer programming, discrete optimization models. Applications in resource allocation, production and distribution of commodities, routing and sequencing in networks representing processes of computation, communication, and production, optimal location of product distribution centers or emergency public service centers, optimal layout of networks.
 


Charles Van Loan
Computer Science

4130 Upson Hall
(607) 255-5418
cv@cs.cornell.edu

Numerical linear and multilinear algebra with applications in signal processing and control theory.
 

Jeffrey Varner
Chemical and Biomolecular Engineering

244 Olin Hall
607 255-4258
jdv27@cornell.edu

Mathematical modeling, simulation and analysis techniques applied to problems in oncology, immune system function, and cell-cycle and cell-death network dynamics. Key areas of study include (i) the characterization and solution of multiscale reaction-diffusion problems that underlie the efficacy of Ligand Targeted Therapies (LTT) in B-cell cancers and solid tumor carcinomas and (ii) the immune system response to pathogens. Problems in therapeutic protein design, expression and recovery.

 


Alexander Vladimirsky
Mathematics

430 Malott Hall
(607) 255-9871
vlad@math.cornell.edu

Fast methods for problems in which the direction of information flow can be used to speed up the computations; numerical schemes for non-linear static PDEs; Ordered Upwind Methods (OUMs) for the PDEs arising in the anisotropic exit-time optimal trajectory problems; problems in anisotropic (and hybrid) control and in front propagation.
 

Lars Wahlbin
Mathematics

573 Malott
( 607) 255-2397
wahlbin@math.cornell.edu

Numerical solution of partial differential equations, analysis aimed at gaining a fundamental understanding of methods. Behavior of the finite-element methods in a variety of problems, especially ones that contain singularities of various degrees of nastiness.

 

Derek Warner
Civil and Environmental Engineering

373 Hollister Hall
( 607) 255-7155
dhw52@cornell.edu

Understanding the connection between microscopic physical phenomena and the macroscopic deformation and failure of engineering materials by coupling cutting-edge computing technologies with state-of-the-art simulation techniques. 

 


Jane Wang
Associate Professor, Theoretical and Applied Mechanics

323Thurston Hall
(607) 255-5354
jane.wang@cornell.edu

Phenomena in a broad range of physical and biological systems, e.g., understanding the intricacies of unsteady aerodynamics through insect flight and falling leaves. Themes include turbulence, computational fluid dynamics, localization in disordered systems, and general spectral theory of non-Hermitian random matrices and its application to advection-diffusion systems.

 


David Williamson

Operations Research

236 Rhodes Hall
(607) 255-4883
dpw@orie.cornell.edu

Algorithms, combinatorial optimization, computer science.
 


Nicholas Zabaras

Mechanical and Aerospace Engineering

188 Rhodes Hall
(607) 255-9104
zabaras@cornell.edu

Computational materials science, multiscale mathematics and computation, stochastic modeling, Bayesian computation, statistical learning and information theoretic algorithms.
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