In the News:



– Postdoctoral appointee wins Young Author Award (Jul. 10, 2021)


– MACSER PI Rebecca Willett named SIAM Fellow (Jun. 18, 2021)




– MACSER PI Stephen Wright Awarded Khachiyan Prize (Oct. 13, 2020)


– MACSER colleagues participate in Computing in Engineering forum (Oct. 5, 2020)


– MACSER leader to deliver webinar on computing cascading failure probabilities (Sept. 15, 2020)


– MACSER colleague leads winning team in Grid Optimization competition (Mar. 3, 2020)




– Güzin Bayraksan gives plenary address at international conference on stochastic programming (Oct. 7, 2019)


– G. Bayraksan elected chair of the Stochastic Programming Society (Oct. 7, 2019)


– Kibaek Kim receives Early Career Award (Aug. 7, 2019)


– Zavala receives Presidential Early Career Award for Scientists and Engineers (Jul. 15, 2019)


– Anitescu Selected as SIAM Fellow (May 20, 2019)


– MACSER Colleague Michael Ferris Gives Plenary address at SIAM Conference (Mar. 28, 2019)


– Workshop to Explore Control, Learning and Optimization (Feb. 25, 2019)




– MACSER PI to Offer Short Course in Stochastic Programming – (at UANL, Mexico, Dec. 2018)


– MACSER’s Kibaek Kim to Lead Team in ARPA-E Grid Optimization Competition (Nov. 13, 2018)


– Workshop to Target Optimizing Systems Impacted by Rare, High-impact Events (Oct. 22, 2018)


– MCS Researchers Receive “Best of the Best” Paper Award at IEEE-PES – (Oct. 22, 2018)


– MACSER Colleague Gives Plenary Talk at International Conference on Automatic Control – (Sept. 24, 2018)


– New HODLR Software for Gaussian Process Statistical – (Aug. 24, 2018)


– MACSER Investigator Delivers Keynote Address on Scalable Stochastic Programming – (Mar. 22, 2018)

Math Concept

We are a multi institutional project that develops and integrate applied mathematical concepts for the power grid. We pursue multifaceted, multidisciplinary applied mathematics research topics to address the DOE grand challenge of complex electrical energy systems and related infrastructure.

We use an integrative, iterative,  research process that  uses domain challenges to guide the selection of promising research topics in our areas of focus.



Multifaceted Mathematics for Rare, High-Impact Events in Complex Energy and Environment Systems

We are a multi-institution project whose aim is to fully explore the opportunities in applied mathematics brought about by multi-disciplinary focus — involving optimization, dynamical systems, stochastic analysis, discrete mathematics, scalable algorithms —  on the DOE Grand Challenge of energy systems.

The central research concept is the one of multi-faceted mathematics — whereby new mathematics is discovered by sustained investigation of the multiple facets presented by the grand challenge subproblems, such as nonconvexity, stochasticity, integrality, spatio-temporal variability — from the perspective of all the mathematics discipline area involved.

Our project involves 25 principal investigators from 4 national laboratories: Argonne National Laboratory, Pacific Northwest National Laboratory, and Lawrence Livermore National Laboratory and three Universities: University of Wisconsin, University of Chicago, and Ohio State University. The project is lead by Mihai Anitescu from Argonne National Laboratory. The project is sponsored by the Office of Advanced Scientific Computing Research of the US Department of Energy, program manager Steve Lee.

Our research aims to create new multifaceted applied mathematics by means of an integrative research process driven by technical challenges in complex energy systems of national interest. Our findings and capabilities are disseminated through publications,   participations in scientific and broad interest events, mathematical software and outreach.