Sungho Shin

Sungho Shin is a Texaco-Mangelsdorf Career Development Chair assistant professor of the Chemical Engineering department at Massachusetts Institute of Technology. Before joining MIT, he was a postdoctoral researcher at the Mathematics and Computer Science division at Argonne National Laboratory. He received his Ph.D. from the University of Wisconsin-Madison. He was an intern at Los Alamos National Laboratory in 2020 and Argonne National Laboratory in 2018. He was an undergraduate researcher at Seoul National University. His research interests include model predictive control, optimization algorithms, and their applications to large-scale energy infrastructures (such as natural gas and power networks). He is the main developer of the nonlinear optimization solver MadNLP.jl and the automatic differentiation/algebraic modeling tool ExaModels.jl. He was the winner of the W. David Smith, Jr. Graduate Publication Award, AIChE Annual Meeting CAST Directors’ Student Presentation Award, IFAC ADCHEM Young Author Award, IFAC NMPC Young Author Award. He was a recipient of the Korea Presidential Science Fellowship, Kwanjeong Fellowship, and Grainger Wisconsin Distinguished Graduate Fellowship.
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Posts by Sungho Shin

Photo of a power line against city lights at twilight.
Simulation / Modeling / Design

NVIDIA cuDSS Library Removes Barriers to Optimizing the US Power Grid

In the wake of ever-growing power demands, power systems optimization (PSO) of power grids is crucial for ensuring efficient resource management,... 7 MIN READ