# 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},{@},{llnl.gov}), where X=1.

## Appointments

- 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.

## Education

- 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

## Awards

- Honorable mention - COAP 2011 Best Paper Prize
- DOE Incite Award 2012-2013, 24 million core hours
- 2013 COIN-OR INFORMS Cup
- COAP 2013 Best Paper Prize

## 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)

*Modelling and solving SC-ACOPF problems in parallel*, FERC Technical Conference on Increasing Market and Planning Efficiency through Improved Software (2016)*Optimization-based parameter estimation of dynamic power grid systems*, SIAM UQ (2016).*Scalable optimization of complex energy systems using high-performance computing*, Joint Mathematics Meeting, SIAM Parallel Processing (2016)*Parallel algebraic modelling for stochastic optimization in Julia*, Platform for Advanced Scientific Computing Conference (2015)- ...