Sungho Shin

Ph.D. Candidate (Advisor: Victor M. Zavala)

Department of Chemical and Biological Engineering, University of Wisconsin-Madison

Address: 2011 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706, USA

Email: firstname (dot) lastname (at) wisc (dot) edu

Bio

I am currently a Ph.D. candidate in the Department of Chemical and Biological Engineering at the University of Wisconsin-Madison. I spent the 2020 Summer at Los Alamos National Laboratory (worked with Carleton Coffrin and Kaarthik Sundar) and the 2018 Summer at Argonne National Laboratory (worked with Mihai Anitescu). I was an undergraduate researcher at Jong Min Lee's group at Seoul National University. My research interests include model predictive control, optimization algorithms (in particular, distributed algorithms for large-scale, nonlinear, continuous optimization problems), and their applications to large-scale energy infrastructures (such as natural gas and power networks). I am the main developer of structure-exploiting nonlinear optimization solver MadNLP.jl and nonlinear modeling pacakge SimpleNL.jl. I was the winner of the 2020 AIChE Annual Meeting CAST Directors’ Student Presentation Award and a recipient of the Korea Presidential Fellowship, Kwanjeong Fellowship, and Grainger Wisconsin Distinguished Graduate Fellowship.

Education

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

Publications

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