 | Adrian SanduProfessor
|
Research Interests
Adrian Sandu obtained the Diploma in Electrical Engineering - Control Systems from the Technical University Bucharest, Romania, M.S. in Computer Science and Ph.D. in Applied Mathematical and Computational Sciences from The University of Iowa. He worked as a computer programmer (ICI Bucharest), instructor (T.U. Bucharest), TA&RA (U. Iowa), postdoctoral research associate (Courant Institute of Mathematical Sciences). Between 1998-2003 he served as a faculty in the Department of Computer Science at Michigan Tech. In 2003 he joined Virginia Tech's Department of Computer Science. Sandu's research interests are in the area of computational science and engineering.
Computational Science LaboratoryURL: http://people.cs.vt.edu/~asandu/CSL/index.php | |
Laboratory for Advanced Scientific Computing and ApplicationsURL: http://research.cs.vt.edu/~lasca/ The goal of the Laboratory for Advanced Scientific Computing and Applications (LASCA) is to provide expertise and leadership in high-end scientific computing research and education at Virginia Tech. Located in Torgersen Hall, the laboratory is a visible and strategic center of activity in applied high-computation and assist scientists and engineers in applying high-end computing resources to their problems. By bringing together experts in scientific cp\omputing and its applications, LASCA helps build the kind of multidisciplinary teams needed to address today's most challenging computational science problems. |
2010
Constantinescu, E. M., and A. Sandu,
"Extrapolated Implicit-Explicit Time Stepping",
SIAM Journal on Scientific Computing, vol. 31, issue 6, pp. 4452, 2010.
Alexe, M., and A. Sandu,
"On the Discrete Adjoints of Variable Step Time Integrators",
Journal of Computational and Applied Mathematics, vol. Vol. 233, no. Issue 4, 2010.
Cheng, H., and A. Sandu,
"Collocation Least-squares Polynomial Chaos Method",
High Performance Computing Symposium, Florida Mall Hotel and Conference Center Orlando, FL, 04/2010.
Eller, P., K. Singh, and A. Sandu,
"Development and Acceleration of Parallel Chemical Transport Models”",
High Performance Computing Symposium, Florida Mall Hotel and Conference Center Orlando, FL, 04/2010.
Alexe, M., A. Cioaca, and A. Sandu,
"Obtaining and using second order derivative in- formation in the solution of large scale inverse problems",
High Performance Computing Symposium (HPC 2010), Florida Mall Hotel and Conference Center Orlando, FL, 04/2010.
Lepsa, B., and A. Sandu,
"An efficient error control mechanism for the parareal time dis- cretization algorithm and its variants”",
High Performance Computing Symposium (HPC 2010), Florida Mall Hotel and Conference Center Orlando, FL, 04/2010.
Abstract
Sandu, A., L. Watson, and W. Thacker,
Proceedings of the 2010 Spring Simulation Multiconference, High Performance Computing Symposium (HPC 2010),
, vol. 6, Vista, CA, Society for Modeling and Simulation International, pp. iv + 145, 2010.
2009
Chai, T., G. R. Carmichael, Y. Tang, and A. Sandu,
"“Regional NOX emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 col- umn observations",
Atmospheric Environment, vol. Vol. 43, pp. 5046–5055, 2009.
Eller, P., K. Singh, A. Sandu, K. Bowman, D. K. Henze, and M. Lee,
"Implementation and Evaluation of an Array of Chemical Solvers in a Global Chemical Transport Model",
Geophysical Model Development, vol. Vol. 2, pp. 1–7, 2009.
Cheng, H., and A. Sandu,
"Efficient Uncertainty Quantification with the Polynomial Chaos Method for Stiff Systems",
Computers and Mathematics with Applications, vol. Vol. 79, no. Issue 11, pp. 3278–3295, 2009.
Blanchard, E., A. Sandu, and C. Sandu,
"Parameter estimation for mechanical systems via an explicit representation of uncertainty",
Engineering Computations, vol. 26, issue 5, pp. 541 - 569, 2009.
Alexe, M., and A. Sandu,
"Forward and adjoint sensitivity analysis with continuous explicit Runge - Kutta schemes”",
Applied Mathematics and Computation,, vol. Vol. 208, pp. 328– 346, 2009.
Sandu, A., and E. M. Constantinescu,
"Multirate time integration of hyperbolic partial dif- ferential equations”",
Seventh International Conference on Numerical Analysis and Applied Mathematics ICNAAM 2009, Crete, Greece, pp. 18-22, 09/2009.
Linford, J. C., J. Michalakes, and M. Vachharajani,
"Multi-core Acceleration of Chemical Kinetics for Simulation and Prediction",
Supercomputing 2009, Portland, Oregon, 11/2009.
Constantinescu, E. M., and A. Sandu,
"Explicit time stepping methods with high stage or- der and monotonicity properties",
International Conference on Computational Science 2009, Baton Rouge, Louisiana, 05/2009.
Singh, K., and A. Sandu,
"Improving GEOS-Chem model forecasts through profile retrievals from Tropospheric Emission Spectrometer",
International Conference on Computational Sci- ence 2009, vol. vol. 5545, Baton Rouge, Louisiana, pp. 302–311, 05/2005, 2009.
Gou, T. Y., and A. Sandu,
"Chemical Data Assimilation with CMAQ: Continuous vs. Discrete Advection Adjoints",
International Conference on Computational Science 2009, vol. vol. 5545, Baton Rouge, Louisiana, pp. 312–321, 05/2009.
Sandu, A., and T. Y. Gou,
"Improvements of the 4D-Var CMAQ Model",
Report for the Houston Advanced Research Council for project H98 , no. Task 4: Texas Commission on Environmental Quality, 10/2009.
2008
Lee, M., R. Weidner, K. Bowman, A. Sandu, and K. Singh,
"Sensor-web Operations Explorer (SOX) for Integrated Air Quality Campaign",
IEEE ECMI 2008, 09/2008.
Alexe, M., and A. Sandu,
"ADJERKDENS, a Runge Kutta library for adjoint calculation",
submitted, 2008.
Alexe, M., and A. Sandu,
"On the discrete adjoints of variable step time integrators",
submitted, 2008.
Sandu, A. , and L. Zhang,
"Discrete Second Order Adjoints in Atmospheric Chemical Transport Modeling",
Jurnal of Computational Physics, vol. 227, no. 12, pp. 5949–5983, 2008.
Constantinescu, E. M., A. Sandu, and G. R. Carmichael,
"Modeling atmospheric chemistry and transport with dynamic adaptive resolution",
Computational Geosciences, 2008.
Liu, Z., and A. Sandu,
"Analysis of discrete adjoints of numerical methods for the advection equation",
International Journal for Numerical Methods for Fluids, vol. 56, no. 7, pp. 769–803, 2008.
Sandu, C., A. Sandu, B. Chan, and M. Ahmadian,
"A response spectral decomposition approach for the control of nonlinear mechanical systems",
International Journal of Heavy Vehicle Systems, vol. 15, no. 1, pp. 26, 2008.
Carmichael, G. R., T. Chai, A. Sandu, E. M. Constantinescu, and D. Daescu,
"Predicting air quality: improvements through advanced methods to integrate models and measurements",
Journal of Computational Physics, vol. 227, no. 7, pp. 3540–3571, 2008.
2007
Sandu, A. , and E. M. Constantinescu,
"Multirate Adams-Bashforth integration of hyperbolic systems",
Journal on Scientific Computing, vol. submitted, 2007.
Sandu, A. ,
On consistency properties of discrete adjoint linear multistep methods,
, no. CS-TR-07-4: Computer Science Department, Virginia Tech, 2007.
Hakami, A., D. K. Henze, J. H. Seinfeld, K. Singh, A. Sandu, S. Kim, D. Byun, and Q. Li,
"The adjoint of CMAQ",
Environmental Science and Technology, vol. 41, no. 22, pp. 7807–7817, 2007.
Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael,
"Autoregressive models of background errors for chemical data assimilation",
Journal of Geophysical Research, vol. 112, no. D12309, 2007.
Constantinescu, E. M., and A. Sandu,
"Multirate timestepping methods for hyperbolic conservation laws",
Journal on Scientific Computing, vol. 33, no. 3, pp. 239–278, 2007.
Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael,
"Ensemble-based chemical data assimilation. I: General approach",
Quarterly Journal of the Royal Meteorological Society, vol. 133, no. 626, pp. 1229–1243, July, 2007.
Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael,
"Ensemble-based chemical data assimilation. II: Covariance localization",
Quarterly Journal of the Royal Meteorological Society, vol. 133, no. 626, pp. 1245–1256, July, 2007.
Chai, T., G. R. Carmichael, Y. Tang, A. Sandu, M. Hardesty, P. Pilewskie, S. Whitlow, E. V. Browell, M. A. Avery, V. Thouret, et al.,
"Four dimensional data assimilation experiments with ICARTT (International Consortium for Atmospheric Transport and Transformation) ozone measurements",
Journal of Geophysical Research, vol. 112, no. D12S15, 2007.
Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael,
"Assessment of ensemble-based chemical data assimilation in an idealized setting",
Atmospheric Environment, vol. 41, no. 1, pp. 18-36, 2007.
2006
Miehe, P., and A. Sandu,
"Forward, Tangent Linear, and Adjoint Runge Kutta Methods in KPP–2.2 for Efficient Chemical Kinetic Simulations",
Applied Numerical Mathematics, 2006.
Sandu, A. ,
"On the Properties of Runge-Kutta Discrete Adjoints",
Lecture Notes in Computer Science, vol. LNCS 3994,: "International Conference on Computational Science", pp. 550–557, 2006.
Hakami, A., J. H. Seinfeld, T. Chai, Y. Tang, G. R. Carmichael, and A. Sandu,
"Adjoint sensitivity analysis of ozone non-attainment over the continental United States",
Environmental Science and Technology, 2006.
Sandu, C., A. Sandu, and L. and Li,
"Modeling of stochastic terrain profiles and soil parameters",
SAE 2005 Transactions – Journal of Commercial Vehicles, vol. 114, no. 2, pp. 211–220, 2006.
Chai, T., G. R. Carmichael, A. Sandu, Y. Tang, and D. N. Daescu,
"Chemical data assimilation with TRACE-P aircraft measurements",
Journal of Geophysical Research, vol. 111, no. D02301, 2006.
Sandu, A. , and R. Sander,
"Modeling chemical kinetic systems in Fortran90 and Matlab with KPP-2.1",
Atmospheric Chemistry and Physics, vol. 6, pp. 187–195, 2006.
Sandu, A. ,
"Piecewise polynomial solutions of aerosol dynamics",
Aerosol Science and Technology, vol. 40, pp. 1–13, 2006.
Sandu, A. , C. Sandu, and M. Ahmadian,
"Modeling multibody dynamic systems with uncertainties. Part I: theoretical and computational aspects",
Multibody System Dynamics, vol. 15, no. 4, pp. 369–391, 2006.
Sandu, A. , C. Sandu, and M. Ahmadian,
"Modeling multibody dynamic systems with uncertainties. Part II: numerical applications",
Multibody System Dynamics, vol. 15, no. 3, pp. 245–266, 2006.
2005
Sandu, A. , E. M. Constantinescu, W. Liao, G. R. Carmichael, T. Chai, J. H. Seinfeld, and D. Daescu,
"Ensemble Filter Data Assimilation for Atmospheric Chemical and Transport Models",
International Conference on Computational Science (ICCS05): International Conference on Computational Science, pp. 648–656, 2005.
Constantinescu, E. M., W. Liao, and A. Sandu,
"Mesh Refinement Strategies in Air Quality Modeling",
High Performance Computing Symposium (HPC 2005): High Performance Computing Symposium, pp. 158–163, 2005.
Constantinescu, E. M., and A. Sandu,
"On Adaptive Mesh Refinement for Atmospheric Pollution Models",
Lecture Notes in Computer Science, vol. 3515: "International Conference on Computational Science", pp. 798–806, 2005.
Hakami, A., D. K. Henze, J. H. Seinfeld, T. Chai, Y. Tang, G. R. Carmichael, and A. Sandu,
"Adjoint inverse modeling of black carbon during ACE-Asia",
Journal of Geophysical Research, vol. 110, no. D14, 2005.
Sandu, A. , W. Liao, G. R. Carmichael, D. K. Henze, and J. H. Seinfeld,
"Inverse modeling of aerosol dynamics using adjoints – theoretical and numerical considerations",
Aerosol Science and Technology, vol. 39, pp. 1–18, 2005.
Sandu, A. , D. Daescu, G. R. Carmichael, and T. Chai,
"Adjoint sensitivity analysis of regional air quality models",
Journal of Computational Physics, vol. 204, pp. 222–252, 2005.
2004
Sandu, A. , D. Daescu, G. R. Carmichael, and T. Chai,
"Parallel Chemical Data Assimilation in Atmospheric Models",
SIAM Conference on Parallel Processing PP04, vol. Session CP, pp. San Francisco, 2004.
Sandu, A. , C. Belwal, and E. M. Constantinescu,
Parallel Adaptive Simulations of Regional Air Quality,
: SIAM Conference on Parallel Processing for Scientific Computing, 2004.
Sandu, A. , C. Sandu, B. Chan, and M. Ahmadian,
"Control of mechanical systems using a parameterized spectral decomposition approach",
Sixth annual symposium on advanced vehicle technology, no. IMECHE-200, pp. 9, November 14-19, 2004.
Sandu, C., A. Sandu, B. Chan, and M. Ahmadian,
"Treating uncertainties in multi-body dynamic systems using a polynomial chaos spectral decomposition",
Sixth annual symposium on advanced vehicle technology, no. IMECHE-200, pp. 9, November 14-19, 2004.
Chai, T., G. R. Carmichael, D. Daescu, and A. Sandu,
"Analysis of Trace-P observations using a 4D-Var data assimilation technique",
{Proceedings of the 84-th American Meteorological Society annual meeting}, vol. Session 8:, no. 8.4, pp. 6, January 11-15, 2004.
Carmichael, G. R., A. Sandu, D. Daescu, T. Chai, J. H. Seinfeld, P. Hess, and T. Anderson,
"Chemical data assimilation in support of air quality forecasting",
Proceedings of the 84-th American Meteorological Society annual meeting, vol. Session 2:, no. 2.1, pp. 6, January 11-15, 2004.
Sandu, A. , W. Liao, G. R. Carmichael, D. Henze, J. H. Seinfeld, T. Chai, and D. Daescu,
"Computational aspects of data assimilation for aerosol dynamics",
Lecture Notes in Computer Science, vol. 3038: Springer-Verlag GmbH, pp. 709–716, June, 2004.
Belwal, C., A. Sandu, and E. M. Constantinescu,
"Adaptive resolution modeling of air pollution",
ACM Symposium on Applied Computing (SAC-2004), pp. 235–239, March, 2004.
Tang, Y., G. R. Carmichael, L. W. Horowitz, I. Uno, J. H. Woo, D. G. Streets, D. Dabdub, G. Kurata, A. Sandu, J. Allan, et al.,
"Multi-scale simulations of tropospheric chemistry in the Eastern Pacific and U.S. West coast during spring 2002",
Journal of Geophysical Research - Atmospheres, vol. 109, no. D23, 2004.
Tang, Y., G. R. Carmichael, J. H. Seinfeld, D. Dabdub, R. J. Weber, B. Huebert, A. D. Clarke, S. A. Guazzotti, D. A. Sodeman, K. A. Prather, et al.,
"Three-dimensional studies of aerosol ions and their size distribution in East Asia during spring 2001",
Journal of Geophysical Research, vol. 109, no. D19, 2004.
Henze, D. K., J. H. Seinfeld, W. Liao, A. Sandu, and G. R. Carmichael,
"Inverse modeling of aerosol dynamics: condensational growth",
Journal of Geophysical Research, vol. 109, no. D14, 2004.
2003
Sandu, A. , D. Negrut, C. Sandu, E. J. Haug, and F. A. Potra,
"Rosenbrock Nystrom integrator for SSODE of mechanical systems",
Proceedings of ASME International (DETC-2003), no. VIB-48329, pp. 8, September 6-10, 2003.
Carmichael, G. R., D. Daescu, A. Sandu, and T. Chai,
"Computational aspects of chemical data assimilation into atmospheric models",
Springer Lecture Notes in Computer Science, no. 2660, pp. 269–278, June, 2003.
Sandu, A. , and C. T. Borden,
"Discretization of aerosol dynamics with B-splines",
ACM Symposium on Applied Computing (SAC-2003), pp. 189–193, March 13-18, 2003.
Sandu, A. ,
"Computational Sciences track editorial",
{ACM Symposium on Applied Computing (SAC-2003)}, pp. 141–142, March 13-18, 2003.
Sandu, A. , D. N. Daescu, T. Chai, G. R. Carmichael, J. H. Seinfeld, P. G. Hess, T. L. Anderson, and F. Darema,
"Computational aspects of 4D-Var chemical data assimilation in atmospheric models",
Dynamic Data Driven Applications Systems: Kluwer Academic Publishers, 2003.
Sandu, A. , and C. T. Borden,
"A framework for the numerical treatment of aerosol dynamics",
Applied Numerical Mathematics, vol. 45, pp. 475–497, 2003.
Sandu, A. , D. Negrut, E. J. Haug, F. A. Potra, and C. Sandu,
"A Rosenbrock-Nystrom state space implicit method for the dynamic analysis of mechanical systems: I – Theoretical development",
Journal of Multibody Dynamics, vol. 217, no. K4, pp. 263–272, 2003.
Negrut, D., A. Sandu, E. J. Haug, F. A. Potra, and C. Sandu,
"A Rosenbrock-Nystrom state space implicit method for the dynamic analysis of mechanical systems: II – The Method and numerical results",
Journal of Multibody Dynamics, vol. 217, no. K4, pp. 273–282, 2003.
Daescu, D., A. Sandu, and G. R. Carmichael,
"Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: II – Numerical validation and applications",
Atmospheric Environment, vol. 37, pp. 5097–5114, 2003.
Sandu, A. , D. Daescu, and G. R. Carmichael,
"Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: I – Theory and software tools",
Atmospheric Environment, vol. 37, pp. 5083–5096, 2003.
2002
Sandu, A. , D. Daescu, and G. R. Carmichael,
"Adjoint data assimilation for aerosol dynamics",
Proceedings of the second International Conference on Air Polution Modeling and Simulation (APMS-2001), pp. 319–331, 2002.
Damian, V., A. Sandu, M. Damian, F. Potra, and G. R. Carmichael,
"The Kinetic PreProcessor KPP – a software environment for solving chemical kinetics",
(Computers and Chemical Engineering), vol. 26, pp. 1567–1579, 2002.
Miehe, P., A. Sandu, G. R. Carmichael, Y. Tang, and D. Daescu,
"A Communication Library for the Parallelization of Air Quality Models on Structured Grids",
Atmospheric Environment, vol. 36, pp. 3917–3930, 2002.
2001
Duff, J. F., P. Merkey, and A. Sandu,
"Parallel molecular dynamics using MPI on a Scyld-style Beowulf cluster",
Proceedings of the 10th SIAM Conference on Parallel Processing for Scientific Computing, pp. 272–279, 2001.
Sandu, A. ,
A spectral method for solving aerosol dynamics,
, no. CSTR-01-04, 1400 Townsend Drive, Houghton, MI 49931, Department of Computer Science, Michigan Technological University, 2001.
2000
D. Daescu, G. R. Carmichael, and A. Sandu,
"Adjoint implementation of Rosenbrock methods applied to variational data assimilation",
American Meteorological Society, pp. 346–354, May 15–19, 2000.
S. He, G. R. Carmichael, A. Sandu, and B. Hotchkiss,
"Application of ADIFOR for air pollution model sensitivity studies",
Environmental Modeling and Software, vol. 15, pp. 549–557, 2000.
1999
Carmichael, G. R., A. Sandu, C. H. Song, S. He, M. Phadnis, D. Daescu, V. Damian-Iordache, F. A. Potra, and Z. Zlatev,
"Computational challenges of modeling interactions between aerosol and gas phase processes",
NATO Advanced Study Institute on Computational Challenges in Air Pollution Modeling, pp. 99–136, 1999.
1998
Shan, H., G. R. Carmichael, A. Sandu, and B. Hotchkis,
"Exploring the effects of aerosols and photochemistry and radiative processes in the troposphere using automatic differentiation",
Proceedings of the First International Conference on Air Pollution Modeling and Simulation (APMS-1998), pp. 12, 1998.
1997
Jay, L. O., A. Sandu, F. A. Potra, and G. R. Carmichael,
"Improved QSSA methods for atmospheric chemistry integration",
SIAM Journal on Scientific Computing, vol. 18, no. 1, pp. 182–202, 1997.
1996
Jay, L. O., A. Sandu, F. A. Potra, G. R. Carmichael, E. Kreuzer, and O. Mahrenholtz,
"Efficient Numerical Integration for Atmospheric Chemistry",
Special issue of ZAMM: Applied sciences, no. 4, pp. 450–453, 1996.
Carmichael, G. R., A. Sandu, F. A. Potra, V. Damian-Iordache, and M. Damian-Iordache,
"The current state and the future directions in air quality modeling",
Systems Analysis Modelling Simulation, vol. 25, pp. 75–105, 1996.
Carmichael, G. R., A. Sandu, F. A. Potra, and V. Damian-Iordache,
"An overview of sensitivity analysis for atmospheric chemistry models via automatic differentiation",
Air Pollution IV - Monitoring, Simulation and Control, vol. B. Caussad, pp. Computational Mechanics Publications, Southampton, Boston, 1996.
1995
Sandu, A. , G. R. Carmichael, and F. A. Potra,
"Using automatic differentiation for sensitivity analysis of atmospheric chemistry models",
Office for Official Publications of the European Communities, no. L–2985, pp. 49–51, 1995.
Please see projects at: http://www.cs.vt.edu/~asandu
A Chemical Data Assimilation Test Bed For The Interpretation And Analysis Of The 2004 NEAQS/ITCT Observation
Granting Institution: National Oceanic and Atmospheric Administration (subcontract from University of Iowa)
Amount: $114,338
A Computational Framework for the Integrating of Air Quality Models and Measurements Using Adjoints
Granting Institution: National Science Foundation (subcontract from University of Iowa)
Amount: $429,194
Adaptive Solution of Inverse Problems Using Discrete Adjoints
Granting Institution: NSF
Amount: $250,000
AFOSR BRI: Co-Design of Hardware/Software for Predicting MAV Aerodynamics
Granting Institution: AFOSR
Amount: $2,153,113
CAREER: Computational Methods For The New Generation Of Air Quality Models
Granting Institution: National Science Foundation
Amount: $221,965
Collaborative Research: A Computational Framework for Assessing the Observation Impact in Air Quality Forecasting
Granting Institution: National Science Foundation
Amount: $418,616
Collaborative Research: A multiscale unified simulation environment for geoscientific applications
Granting Institution: National Science Foundation
Amount: $238,996
CRI: Miser: A High Performance Power Aware Cluster
Granting Institution: National Science Foundation
Amount: $453,911
General Linear Time-stepping Methods for Large Scale Simulations
Granting Institution: National Science Foundation
Amount: $312,314
Multirate Time Integration Algorithms For Adaptive Simulations Of PDE's
Granting Institution: National Science Foundation
Amount: $180,000
Optimal Design of Constrained Multibody Dynamic Systems
Granting Institution: National Science Foundation
Amount: $398,999
Sensor-Web Operation Scenario Exploration System For Integrated Aerosol And Trace-Gas Observation
Granting Institution: California Institute of Technology
Amount: $100,000
Solution Of Inverse Problems With Adaptive Models
Granting Institution: National Science Foundation
Amount: $186,143
Stochastic Models Of Cell Cycle Regulation In Eukaryotes
Granting Institution: National Institute of General Medical Sciences
Amount: $3,424,192
The Virginia Institute For Performance Engineering And Research
Granting Institution: Institute for Advanced Learning and Research
Amount: $111,437