Cosmin G. Petra
Asst. computational mathematician @ LANS @ MCS @ ANL

Appointments
 2012present  Asst. computational mathematician, MCS Division, Argonne National Laboratory.
 2015present  Adjunct Asst. Professor, School Of Natural Sciencies, University of California, Merced.
 20092012  Postdoctoral Appointee, MCS Division, Argonne National Laboratory.
Education
 20062009 Ph.D. in Applied Mathematics  University of Maryland, Baltimore County, Baltimore, Maryland
 20052006 M.S. in Applied Mathematics  University of Maryland, Baltimore County, Baltimore, Maryland
 19982002 B.S. in Mathematics and Computer Science  Universitatea BabeşBolyai, ClujNapoca, Romania
Awards
 Honorable mention  COAP 2011 Best Paper Prize
 DOE Incite Award 20122013, 24 million core hours
 2013 COINOR INFORMS Cup
 COAP 2013 Best Paper Prize
Research Interests
 Highperformance computing algorithms for large scale optimization
 Optimization, control, and design under uncertainty
 Scientific computing and extremescale 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. A Bayesian Approach for Parameter Estimation with Uncertainty for Dynamic Power Systems, submitted, 2016. ANL Preprint.
 C. G. Petra, F. A. Potra, A Homogeneous Model for Monotone Mixed Horizontal Linear Complementarity Problems, submitted to SIAM Journal on Optimization, 2015. ANL preprint.
 C. G. Petra, V. M. Zavala, E. N. Ruiz, M. Anitescu, Economic Impacts of Wind Covariance Estimation on Power Grid Operations. submitted to IEEE Transactions on Sustainable Energy, 2015. ANL preprint.
 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. ANL preprint.
 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, 362, pages C139C162, 2014. DOI.
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Recent talks (selected)
 Scalable optimization of complex energy systems using highperformance computing, Joint Mathematics Meeting (2016)
 Parallel algebraic modelling for stochastic optimization in Julia, Platform for Advanced Scientific Computing Conference (2015)
 Stochastic optimization of complex energy systems on highperformance computers, Informs Computing Society (2015)
 On the role of wind correlation in the economic dispatch of power grid systems, SIAM CSE (2015), SIAM UQ (2014)
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