John Daniel Siirola

Discrete Math & Optimization

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Discrete Math & Optimization

jdsiiro@sandia.gov

(505) 284-5419

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1326

Biography

John Siirola is a Principal R&D Member of Technical Staff in the Discrete Math & Optimization Department at Sandia National Laboratories. His main areas of expertise are systems design, operations research, optimization modeling, and optimization algorithms. John’s research focuses on the intersection of computational tools with systems design and analysis; in particular, developing approaches for modeling highly structured systems, optimization algorithms that can exploit the expressed structure, and the application of these techniques to national security problems.

Education

John has a B.S. from Purdue University (2000) and Ph.D. from Carnegie Mellon University (2005), both in Chemical Engineering. He is a senior member of the AIChE, member of INFORMS, and member of the COIN-OR Foundation. John currently serves on the COIN-OR Technical Leadership Council and was co-chair of the 2014 Foundations of Computer Aided Process Design (FOCAPD) conference.

Publications

Robert Parker, Chinedu Okoli, Bethany L. Nicholson, John Daniel Siirola, Lorenz Biegler, (2022). An application of the Dulmage-Mendelsohn partition to the analysis of a discretized dynamic chemical looping reactor model Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC) Document ID: 1563013

Georgia Stinchfield, John Daniel Siirola, Miguel Zamarripa-Perez, Carl Laird, (2022). Optimal Design Approaches for Rapid, Cost-Effective Manufacturing and Deployment of Chemical Processes AIChE Advanced Processing and Manufacturing Conference Document ID: 1539858

David Bernal, Yunshan Liu, Michael Lee Bynum, Carl Laird, John Daniel Siirola, Ignacio Grossmann, (2022). Advances in Generalized Disjunctive and Mixed-Integer Nonlinear Programming Algorithms and Software for Superstructure Optimization 14th International Symposium on Process Systems Engineering (PSE) Document ID: 1539873

Miranda Rose Mundt Brandenburg, Michael Lee Bynum, William Eugene Hart, Bethany L. Nicholson, John Daniel Siirola, (2022). Pyomo: Optimization Beyond Modeling 2022Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference Document ID: 1539116

Michael Lee Bynum, Carl Laird, Robert Parker, John Daniel Siirola, (2022). Parallel Solution of Optimal Gas Network Control Under Uncertainty 2022 AIChE Annual Meeting Document ID: 1504822

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Software

Pyomo