Sungho Shin, a postdoctoral appointee in the Mathematics and Computer Science Division at Argonne National Laboratory, has won the Young Author Award at the 11^{th} International Symposium on Advanced Control of System Process (ADCHEM 2021), held virtually in June 2021. The award includes a certificate and a 300 Euros prize.

In the award-winning paper, titled “Graph-Based Modeling and Decomposition of Energy Infrastructures,” Shin presented nonlinear optimization problems as graph-structured optimization problems and shows how that structure can be exploited at both the modeling and the solver level. The approach, which he implemented as a general-purpose nonlinear programming solver called MadNLP.jl, was evaluated in tests on problems arising in transient gas network optimization and multiperiod AC optimal power flow. Compared with off-the-shelf tools, MadNLP.jl reduced solution times by 300%.

Shin received his Ph.D. degree in chemical engineering from the University of Wisconsin – Madison. As a graduate student he had spent the summer of 2018 at Argonne, and in May 2021 he joined Argonne as a postdoctoral appointee. His research, which includes model predictive control, optimization algorithms, and their applications to large-scale energy infrastructure, is funded under the Argonne-led MACSER (Multifaceted Mathematics for Rare, High Impact Events in Complex Energy and Environmental Systems) project

For information about the conference and the award, see https://www.adchem2021.org/young-author-award. For the full paper, see Sungho Shin, Carleton Coffrin, Kaarthik Sundar, and Victor M. Zavala, “Graph-Based Modeling and Decomposition of Energy Infrastructures,” https://arxiv.org/abs/2010.02404.