Emil Mihai
Constantinescu
emconsta[at]mcs.anl.gov
Office #: 2151
• Computational Mathematician
• Mathematics and Computer Science
• Argonne National Laboratory

• Fellow of the Computation Institute
• University of Chicago

• a Computational Mathematician in the Mathematics and Computer Science Division and part of the Laboratory for Applied Mathematics and Numerical Software at Argonne National Laboratory and
• a Scientist at Large of the Consortium for Advanced Science and Engineering (CASE), The University of Chicago.

• I was fellow of the Computation Institute, The University of Chicago,
• the Wilkinson Fellow in the Mathematics and Computer Science Division, Argonne National Laboratory, and
• I completed my PhD in Computer Science (2008) from Virginia Tech (research highlight).

I am a member of:

• SIAM SISC associate editorial board,
• STATMOS (Research Network for Statistical Methods for Atmospheric and Oceanic Sciences) as Argonne National Laboratory's node director.

Opportunities:

• The Exascale Computing Project (ECP) is online.
  


• Open position: Wilkinson Fellowship in Scientific Computing: go to http://www.anl.gov/jobsearch and search for job requisition 400256.
  


• Argonne Training Program on Extreme-Scale Computing (application deadline: March 25, 2016; next year: TBA): http://extremecomputingtraining.anl.gov

News:

• PETSc 20th anniversary conference and tutorial June 15 to June 18, 2015. (registration deadline: April 1, 2015)
  


• Argonne has a new machine (news): Aurora

Research Interests:

Time-stepping for PDEs and ODEs Multirate - GLM - IMEX Implementation in PETSc library	Uncertainty Quantification, Data Assimilation & Sensitivity Analysis	Modeling and Simulation
	Forecast page

Projects - active:

Projects - retired:

Software:

• DAPack (data assimilation package): A python based data assimilation package.
  Git repository link
  Documentation link

• Contributor to PETSc time stepping algorithms.
  

Recent papers (see all):

• Emil M. Constantinescu, Noemi Petra, Julie Bessac, and Cosmin G. Petra, "Statistical treatment of inverse problems constrained by differential equations-based models with stochastic terms." Submitted, 2018. [https://arxiv.org/abs/1810.08557]

   

• Joseph Hart*, Julie Bessac, and Emil M. Constantinescu, "Global sensitivity analysis for statistical model parameters." SIAM/ASA Journal on Uncertainty Quantification, In Press, 2018. [Preprint # ANL/MCS-P8006-0817, https://arxiv.org/abs/1708.07441].

   

• Ahmed Attia* and Emil M. Constantinescu, "An optimal experimental design framework for adaptive inflation and covariance localization for ensemble filters." Submitted, 2018. [https://arxiv.org/abs/1806.10655]

   

• Valeria Mele, Emil M. Constantinescu, Luisa Carracciuolo, and Luisa D'Amore, "A PETSc parallel-in-time solver based on MGRIT algorithm." Submitted, Concurrency and Computation: Practice and Experience, 2018.

   

• Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, and Tom Peterka, "Extreme-scale stochastic particle tracing for uncertain unsteady flow visualization and analysis." In press, IEEE Transactions on Visualization and Computer Graphics, 2018.

   

• Jiali Wang, Julie Bessac, Rao Kotamarthi, Emil M. Constantinescu, and Beth Drewniak, "Internal variability, regional climate model, spectral nudging, high spatial resolution, climate change." Climate Dynamics, Vol 50(11-12), Pages 4539-4559, 2018.

   

• Oana Marin*, Emil Constantinescu, and Barry Smith, "PDE-constrained optimization with spectral elements using PETSc and TAO." Submitted, 2018. [https://arxiv.org/abs/1806.01422]

   

• Shrirang Abhyankar, Jed Brown, Emil M. Constantinescu, Debojyoti Ghosh*, Barry F. Smith and Hong Zhang*, "PETSc/TS: A modern scalable ODE/DAE solver library." Submitted, 2018. [https://arxiv.org/abs/1806.01437]

   

• Julie Bessac*, Emil M. Constantinescu, and Mihai Anitescu, "Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical models." Vol 12(1), Pages 432-458, Annals of Applied Statistics, 2018. [Preprint # ANL/MCS-P5432-1015, http://arxiv.org/abs/1511.09416].

   

• Simone Marras, Michal A. Kopera, Emil M. Constantinescu, Jenny Suckale, and Francis X. Giraldo "A residual-based shock capturing scheme for the continuous/discontinuous spectral element solution of the 2D shallow water equations." Vol. 114, Pages 45-63, Advances in Water Resources, 2018. [http://arxiv.org/abs/1607.04547]

   

• Emil Constantinescu, "Generalizing global error estimation for ordinary differential equations by using coupled time-stepping methods." Journal of Computational and Applied Mathematics, Vol 332(C), Pages 140-158, 2018. (https://arxiv.org/abs/1503.05166)

   

• Daniel S. Abdi, Francis X. Giraldo, Emil M. Constantinescu, Lester E. Carr III, Lucas C. Wilcox, and Timothy Warburton, "Acceleration of an implicit-explicit non-hydrostatic unified model of the atmospheric (NUMA) on manycore processors." Journal of Computational and Applied Mathematics, In Press, 2017. (preprint, https://arxiv.org/abs/1702.04316)

   

• Shrirang Abhyankar, Emil M. Constantinescu, Barry Smith, Alexander J. Flueck, and Daniel A. Maldonado "Parallel dynamics simulation using a Krylov-Schwarz linear solution scheme." IEEE Transactions on Smart Grid Special Issue on High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid, Vol. 8(3), Pages 1378-1386, 2017.

   

• Hong Zhang*, Shrirang S. Abhyankar, Emil M. Constantinescu, and Mihai Anitescu, "Discrete adjoint sensitivity analysis of power system dynamics." IEEE Transactions on Circuits and Systems--I: Regular Papers, Vol. 64(5), Pages 1247-1259, 2017.

   

• Noemi Petra, Cosmin G. Petra, Zheng Zhang*, Emil M. Constantinescu, and Mihai Anitescu, "A Bayesian approach for parameter estimation with uncertainty for dynamic power systems." IEEE Transactions on Power Systems, Vol. 32(4), Pages 2735-2743, 2017.

   

• Debojyoti Ghosh* and Emil M. Constantinescu, "Nonlinear compact finite-difference schemes with semi-implicit time stepping." Springer's Lecture Notes in Computational Science and Engineering (LNCSE) Series, ICOSAHOM 2014, Vol. 106, Pages 237-245, 2015.

   

• Debojyoti Ghosh* and Emil M. Constantinescu, "Semi-implicit time integration of atmospheric flows with characteristic-based flux partitioning." SIAM Journal on Scientific Computing (SISC), Vol. 38(3), Pages A1848-A1875, 2016. [Preprint # ANL/MCS-P5417-1015; http://arxiv.org/abs/1510.05751].

   

• Nan Li, Canan Uckun, Emil M. Constantinescu, John Birge, Kory W. Hedman, and Audun Botterud "Flexible operation of batteries in power system scheduling with renewable energy." IEEE Transactions on Sustainable Energy, 2016.

   

• Peng Wang, David Barajas-Solano, Emil Constantinescu, Shrirang S. Abhyankar, Debojyoti Ghosh*, Barry Smith, Zhenyu Huang, and Alexandre Tartakovsky, "Probabilistic density function method for stochastic ODEs of power systems with uncertain power input"; SIAM/ASA Journal on Uncertainty Quantification (JUQ), Vol. 3(1), Pages 873-896, 2015.

   

• Debojyoti Ghosh* and Emil M. Constantinescu, "A well-balanced conservative finite-difference algorithm for atmospheric flows." AAIA Journal, Accepted, 2015. [Preprint # ANL/MCS-P5371-0615].

   

• Franck Cappello, Emil Constantinescu, Paul Hovland, Tom Peterka, Carolyn Phillips, Marc Snir, Stefan Wild, Improving the trust in results of numerical simulations and scientific data analytics,” MCS Report, ANL/MCS-TM-352, Published Online April 2015.

   

• Ilias Bilionis*, Beth A. Drewniak, and Emil M. Constantinescu, "Crop physiology calibration in the CLM." Vol 8(4), Pages 1071-1083, Geoscientific Model Development, 2015.

   

• Debojyoti Ghosh*, Emil M. Constantinescu, and Jed Brown, "Efficient implementation of non-linear compact schemes on massively-parallel platforms." SIAM Journal on Scientific Computing (SISC), Vol. 37(3), Pages C354-C383, 2015. -> Technical report version.

   

• {WEB}Ilias Bilionis*, Emil M. Constantinescu, and Mihai Anitescu, "Data-driven model for solar irradiation based on satellite observations." Vol. 110, Pages 22-38, Solar Energy, 2014.

   

• Mihai Anitescu, Xiaoyan Zeng*, and Emil M. Constantinescu, "A low-memory approach for best-state estimation of hidden Markov models with model error." SIAM Journal on Numerical Analysis (SINUM), Vol. 52(1), Pages 468-495, 2014.

   

Research Scientists:

Current:

   Julie Bessac (2017-, Data analysis, Statistics)

Past:

Postdocs:

Current:

  Ahmed Attia (2017-, Data assimilation)

Past:

  Vishwas Rao (2017-2018, Data assimilation)
  Julie Bessac (2014-2017, Data analysis, Statistics)
  Hong Zhang (2014-2016, Sensitivity analysis - PETSc)
  Zheng Zhang (2015-2016, UQ)
  Debojyoti Ghosh (2013-2015, Time stepping, CFD - PETSc)
  Ilias Bilionis (2013-2014, Uncertainty Quantification)
  Xiaoyan Zeng (2012, UQ - UQ for the crop model in the CESM - community Earth system model)
  Shrirang Abhyankar (2012-2014, Time stepping and power grid applications - PETSc)

Grad students in practicum:

  Tucker Hartland (2018, graduate, Mathematics, UC Merced)
  Rohit Tripathy (2017, graduate, Mechanical Engineering, Purdue)
  Joey Hart (2016, graduate, Applied Mathematics, North Carolina State University)
  Ahmed Attia (2015, graduate, Computer Science, Virginia Tech)
  Hong Zhang (2012, graduate, Computer Science, Virginia Tech)
  Alexandru Cioaca (2010, 2011, graduate, Computer Science, Virginia Tech)
  Jeffrey Steward (2010, graduate, Mathematics, Florida State University)
  Matthew Rocklin (2009, graduate, Computer Science, University of Chicago)

updated May 2019