Yeonjong Shin

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Assistant Professor

University of Arkansas

Also affiliated: Pohang University of Science and Technology (2024); North Carolina State University (2023–2026); Seoul National University (2018); Korea Advanced Institute of Science and Technology (2022–2026); University of Utah (2016); Brown University (2019–2022); Research Institute of Industrial Science and Technology (2024); The Ohio State University (2016–2018)

15 h-index 50 pubs 908 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Yeonjong Shin's research focuses on the application of machine learning and neural networks to solve complex scientific problems, particularly in the realm of differential equations and dynamical systems. His work investigates the theoretical underpinnings of these methods, including approximation rates, error estimation, and convergence properties. Shin has published on topics such as Physics-Informed Neural Networks (PINNs) for solving partial differential equations (PDEs), exploring their capabilities for both deterministic and stochastic systems. He has also explored advancements in optimization algorithms for neural networks, such as accelerating gradient descent methods. His research contributes to the development and understanding of computational tools for scientific modeling and simulation.

Metrics

h-index: 15
Publications: 50
Citations: 908

Positions

Assistant Professor 2023–present

North Carolina State University Mathematics ORCID
Assistant Professor publications 2026

University of Arkansas at Fayetteville ORCID