Cosmin G. Petra

I have recently moved to Lawrence Livermore National Lab, however the information here is up to date.

My new email=union({petraX},{@},{}), where X=1.


  • 2016-present - Computational Mathematician, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory.
  • 2015-present - Adjunct Asst. Professor, School Of Natural Sciencies, University of California, Merced.
  • 2012-2016 - Asst. Computational Mathematician, MCS Division, Argonne National Laboratory.
  • 2009-2012 - Postdoctoral Appointee, MCS Division, Argonne National Laboratory.


  • 2006-2009 Ph.D. in Applied Mathematics - University of Maryland, Baltimore County, Baltimore, Maryland
  • 2005-2006 M.S. in Applied Mathematics - University of Maryland, Baltimore County, Baltimore, Maryland
  • 1998-2002 B.S. in Mathematics and Computer Science - Universitatea Babeş-Bolyai, Cluj-Napoca, Romania


Research Interests

  • High-performance computing algorithms for large scale optimization
  • Optimization, control, and design under uncertainty
  • Scientific computing and extreme-scale computing
  • Uncertainty quantification

Recent publications

  • N. Petra, C. G. Petra, Z. Zhang, E. M. Constantinescu, and M. Anitescu, A Bayesian Approach for Parameter Estimation with Uncertainty for Dynamic Power Systems, submitted, 2016. ANL Preprint.
  • C. G. Petra, V. M. Zavala, E. N. Ruiz, M. Anitescu, A high-performance computing framework for analyzing the economic impacts of wind correlation, Electric Power Systems Research, Volume 141, pages 372-380, 2016. DOI.
  • J. Huchette, M. Lubin, C. G. Petra, Parallel algebraic modeling for stochastic optimization. The First Workshop for High Performance Technical Computing in Dynamic Languages (HPTCDL), Supercomputing 2014. DOI.
  • C. G. Petra, Olaf Schenk, M. Lubin, K. Gaertner. An augmented incomplete factorization approach for computing the Schur complement in stochastic optimization. SIAM Journal on Scientific Computing, 36-2, pages C139-C162, 2014. DOI.
  • ...

Recent talks (selected)