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Christine Shoemaker

Joseph P. Ripley Professor of Engineering

National University of Singapore (NUS)

Singapore

Research Interests

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Professors in Hydrology

About

Christine Shoemaker is a Distinguished Professor at the National University of Singapore. Her research areas include ecosystem demography models, groundwater remediation design, and optimization strategies for process-based models. Recent articles demonstrate her focus on enhancing calibration techniques and global optimization methods in environmental modeling, particularly regarding water quality and urban flood control. She contributes significantly to advancing sustainable practices in response to climate challenges.

Articles (10)

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Year:

2022

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2021

Collaborators (1)

Yanyan Cheng

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Christine Shoemaker

Research Interests

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Articles (10)

A Framework to Calibrate Ecosystem Demography Models Within Earth System Models Using Parallel Surrogate Global Optimization

Comparison of parallel optimization algorithms on computationally expensive groundwater remediation designs

A Repetitive Parameterization and Optimization Strategy for the Calibration of Complex and Computationally Expensive Process-Based Models With Application to a 3D Water Quality Model of a Tropical Reservoir

A novel objective function DYNO for automatic multivariable calibration of 3D lake models

Early termination strategies with asynchronous parallel optimization in application to automatic calibration of groundwater PDE models

Efficient, parallelized global optimization of groundwater pumping in a regional aquifer with land subsidence constraints

Improving the speed of global parallel optimization on PDE models with processor affinity scheduling

Integrating ε -dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems

Surrogate Global Optimization for Identifying Cost-Effective Green Infrastructure for Urban Flood Control With a Computationally Expensive Inundation Model

Cyanobacterial risk prevention under global warming using an extended Bayesian network

Collaborators (1)

Yanyan Cheng

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