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Welcome to the Shin Group’s website! We are a research group at the Massachusetts Institute of Technology, led by Professor Sungho Shin.

Group Overview

Our research group is dedicated to tackling the mathematical, computational, and practical challenges involved in making systematic decisions in complex systems. We strive to make contributions in the fields of mathematical optimization, control theory, machine learning, process systems engineering, and energy systems.

Here are some of our specific research interests:

Developing scalable algorithms capable of addressing challenging decision-making problems in various engineering and societal domains.
Advancing our understanding and developing algorithms for machine learning methods in control problems.
Building computational infrastructure for scalable and data-driven decision-making by harnessing the capabilities of modern high-performance computing, particularly through the use of GPU computing.
Making tangible impacts in decision-making practices within the domains of process systems engineering and energy systems by introducing new modeling paradigms, algorithms, and software tools.

Jul 2026	Sungho received a MIT-GE Vernova grant for "GPU Solver Engine for Grid Orchestration at Scale," with co-PI Haihao Lu (MIT Sloan).
Jun 2026	Sungho presented "Can ExaModels power JuMP on GPUs?" at JuMP-dev 2026.
Jun 2026	Sungho presented "The state of ExaModels" at the SIAM Conference on Optimization.
Jun 2026	Sungho received a Future of Energy Systems Center (FESC) grant for "Can Long-Duration Energy Storage Better Protect the Grid from Extreme Events?," with co-PIs Deepjyoti Deka and Dirk Lauinger.
Jun 2026	Sungho is a co-PI on a Future of Energy Systems Center (FESC) grant, led by Deepjyoti Deka, for "Multi-scale data-center load model and forecast for enabling grid analysis."