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Shuhua Hu

Researcher at North Carolina State University

Publications -  47
Citations -  811

Shuhua Hu is an academic researcher from North Carolina State University. The author has contributed to research in topics: Population & Stochastic process. The author has an hindex of 13, co-authored 47 publications receiving 723 citations. Previous affiliations of Shuhua Hu include Nanjing University of Aeronautics and Astronautics & University of Louisiana at Lafayette.

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A Brief Review of Elasticity and Viscoelasticity for Solids

TL;DR: An overview of the subject for both elastic and viscoelastic materials is provided, including uses in civil engineering, the food industry, land mine detection and ultrasonic imaging, and some applications for these constitutive equations.
Book

Modeling and Inverse Problems in the Presence of Uncertainty

TL;DR: In this paper, the AIC under the framework of Least Squares Estimation is used to estimate probability measures using aggregate population data and the Prohorov Metric Framework Consistency of the PMF Estimator.
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A Quasilinear Hierarchical Size-Structured Model:Well-Posedness and Approximation

TL;DR: In this article, a finite difference approximation to a hierarchical size-structured model with nonlinear growth, mortality and reproduction rates is developed, and the existence uniqueness of the weak solution to the model is established and convergence of the finite-difference approximation is proved Simulations indicate that the monotonicity assumption on the growth rate is crucial for the global existence of weak solutions.
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A comparison of probabilistic and stochastic formulations in modelling growth uncertainty and variability

TL;DR: A theoretical analysis is presented that allows one to include comparable levels of uncertainty in the two distinct formulations in making comparisons of the two approaches for inclusion of uncertainty/variability in modelling growth in size-structured population models.
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Experimental design and estimation of growth rate distributions in size-structured shrimp populations

TL;DR: In this article, the authors discuss inverse problem results for problems involving the estimation of probability distributions using aggregate data for growth in populations and discuss a computational methodology for the design of experiments to validate the model and estimate the growth-rate distributions in shrimp populations.