Sungho Shin

Postdoc (Supervisor: Mihai Anitescu)
Mathematics and Computer Science Division
Argonne National Laboratory
Email: sshin(at)anl(dot)gov

Reserach Interests

nonlinear optimization; control theory; energy systems; decarbonization


Sungho Shin is a postdoctoral researcher at the Mathematics and Computer Science Division at Argonne National Laboratory (supervisor: Mihai Anitescu). He received his Ph.D. from the University of Wisconsin-Madison (advisor: Victor M. Zavala). He was a Summer intern at Los Alamos National Laboratory (2020; worked with Carleton Coffrin and Kaarthik Sundar) and Argonne National Laboratory (2018; worked with Mihai Anitescu). He was an undergraduate researcher at Jong Min Lee's group 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 nonlinear optimization solver MadNLP.jl and automatic differentiation/algebraic modeling tool MadDiff.jl. He was the winner of the 2020 AIChE Annual Meeting CAST Directors’ Student Presentation Award, 2021 IFAC ADCHEM Young Author Award, and 2021 IFAC NMPC Young Author Award. He was a recipient of the Korea Presidential Science Fellowship, Kwanjeong Fellowship, and Grainger Wisconsin Distinguished Graduate Fellowship.


Ph. D. in Chemical Engineering, University of Wisconsin-Madison (2021).
B.S. in Mathematics and Chemical Engineering, Seoul National University (2016).


In Preparation

Under Review

Journal Publications

Conference Publications

Book Chapters, Technical Reports, and Others