Sungho Shin

Sungho Shin

University of Wisconsin-Madison

H-index: 11

North America-United States

About Sungho Shin

Sungho Shin, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of nonlinear optimization, control theory, energy systems, decarbonization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures

GPU-accelerated nonlinear model predictive control with ExaModels and MadNLP

Globally Convergent Distributed Sequential Quadratic Programming with Overlapping Decomposition and Exact Augmented Lagrangian Merit Function

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties*

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*

Accelerating condensed interior-point methods on SIMD/GPU architectures

Accelerating optimal power flow with gpus: Simd abstraction of nonlinear programs and condensed-space interior-point methods

Near-optimal distributed linear-quadratic regulator for networked systems

Sungho Shin Information

University

Position

Ph.D. Candidate

Citations(all)

279

Citations(since 2020)

277

Cited By

68

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Sungho Shin Skills & Research Interests

nonlinear optimization

control theory

energy systems

decarbonization

Top articles of Sungho Shin

Title

Journal

Author(s)

Publication Date

Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures

Optimization Methods and Software

François Pacaud

Michel Schanen

Sungho Shin

Daniel Adrian Maldonado

Mihai Anitescu

2024/4/5

GPU-accelerated nonlinear model predictive control with ExaModels and MadNLP

arXiv preprint arXiv:2403.15913

François Pacaud

Sungho Shin

2024/3/23

Globally Convergent Distributed Sequential Quadratic Programming with Overlapping Decomposition and Exact Augmented Lagrangian Merit Function

arXiv preprint arXiv:2402.17170

Runxin Ni

Sen Na

Sungho Shin

Mihai Anitescu

2024/2/27

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties*

Sungho Shin

François Pacaud

Emil Contantinescu

Mihai Anitescu

2023/5/31

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*

David Cole

Sungho Shin

François Pacaud

Victor M Zavala

Mihai Anitescu

2023/5/31

Accelerating condensed interior-point methods on SIMD/GPU architectures

Journal of Optimization Theory and Applications

François Pacaud

Sungho Shin

Michel Schanen

Daniel Adrian Maldonado

Mihai Anitescu

2023/2/13

Accelerating optimal power flow with gpus: Simd abstraction of nonlinear programs and condensed-space interior-point methods

arXiv preprint arXiv:2307.16830

Sungho Shin

François Pacaud

Mihai Anitescu

2023/7/31

Near-optimal distributed linear-quadratic regulator for networked systems

SIAM Journal on Control and Optimization

Sungho Shin

Yiheng Lin

Guannan Qu

Adam Wierman

Mihai Anitescu

2023/6/30

Exponential decay of sensitivity in graph-structured nonlinear programs

SIAM Journal on Optimization

Sungho Shin

Mihai Anitescu

Victor M Zavala

2022

A feasible reduced space method for real-time optimal power flow

Electric Power Systems Research

François Pacaud

Daniel Adrian Maldonado

Sungho Shin

Michel Schanen

Mihai Anitescu

2022/11/1

Near-Optimal Performance of Stochastic Predictive Control

arXiv preprint arXiv:2210.08599

Sungho Shin

Sen Na

Mihai Anitescu

2022/10/16

On the convergence of overlapping Schwarz decomposition for nonlinear optimal control

IEEE Transactions on Automatic Control

Sen Na

Sungho Shin

Mihai Anitescu

Victor M Zavala

2022/7/26

A Julia Framework for Graph-Structured Nonlinear Optimization

Industrial & Engineering Chemistry Research

David L Cole

Sungho Shin

Victor M Zavala

2022/6/21

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks

arXiv preprint arXiv:2212.11571

Alexander Engelmann

Sungho Shin

François Pacaud

Victor M Zavala

2022/12/22

Condensed interior-point methods: porting reduced-space approaches on GPU hardware

arXiv preprint arXiv:2203.11875

François Pacaud

Sungho Shin

Michel Schanen

Daniel Adrian Maldonado

Mihai Anitescu

2022/3/22

A graph-based modeling abstraction for optimization: Concepts and implementation in plasmo. jl

Mathematical Programming Computation

Jordan Jalving

Sungho Shin

Victor M Zavala

2022/12

Diffusing-horizon model predictive control

IEEE Transactions on Automatic Control

Sungho Shin

Victor M Zavala

2021/12/21

Controllability and Observability Imply Exponential Decay of Sensitivity in Dynamic Optimization

arXiv preprint arXiv:2101.06350

Sungho Shin

Victor M Zavala

2021/1/16

Graph-Structured Nonlinear Programming: Properties and Algorithms

Sungho Shin

2021

Graph-based modeling and decomposition of energy infrastructures

IFAC-PapersOnLine

Sungho Shin

Carleton Coffrin

Kaarthik Sundar

Victor M Zavala

2021/1/1

See List of Professors in Sungho Shin University(University of Wisconsin-Madison)

Co-Authors

academic-engine