World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
51
Citations
10286
World Ranking
3841
National Ranking
47

Research.com Recognitions

  • 2014 - SIAM Fellow For the development of optimization algorithms for groundwater flow and related environmental problems.
  • 2012 - Member of the National Academy of Engineering For development of decision-making optimization algorithms for environmental and water resources problems.

Overview

Christine A. Shoemaker is affiliated with the National University of Singapore in Singapore. Their research spans multiple disciplines, focusing on engineering, computer science, and environmental science. Their work includes significant contributions to ocean engineering, artificial intelligence, environmental engineering, computational theory and mathematics, and global and planetary change.

The scientist's research interests center around several core topics:

  • Water resources management and optimization
  • Advanced multi-objective optimization algorithms
  • Metaheuristic optimization algorithms research
  • Hydrology and watershed management studies
  • Flood risk assessment and management
  • Groundwater flow and contamination studies
  • Reservoir engineering and simulation methods

Christine A. Shoemaker has published extensively, with frequent publications in notable venues such as:

  • Environmental Modelling & Software
  • arXiv (Cornell University)
  • Water Resources Research
  • Journal of Hydrology
  • Computers & Chemical Engineering

Some of their recent papers include:

  • "Surrogate Global Optimization for Identifying Cost-Effective Green Infrastructure for Urban Flood Control With a Computationally Expensive Inundation Model," 2022, Water Resources Research
  • "Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models," 2020, Environmental Modelling & Software
  • "GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration," 2020, Optimization and Engineering
  • "A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems," 2020, Structural and Multidisciplinary Optimization
  • "Experimental and numerical study of biomass catalytic pyrolysis using Ni2P-loaded zeolite: Product distribution, characterization and overall benefit," 2020, Energy Conversion and Management

Their frequent co-authors include Wei Xia, Wenyu Wang, Taimoor Akhtar, Wei Lü, and Xin He.

Shoemaker's work has been recognized by professional societies and academies. They were named a SIAM Fellow in 2014 for contributions to optimization algorithms relevant to groundwater flow and environmental problems. In 2012, they were elected a member of the National Academy of Engineering for developing decision-making optimization algorithms applied to environmental and water resources issues.

Best Publications

  • Dynamically dimensioned search algorithm for computationally efficient watershed model calibration

    Bryan A. Tolson;Christine A. Shoemaker

  • A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions

    Rommel G. Regis;Christine A. Shoemaker

  • A Comparison of Chemical and Isotopic Hydrograph Separation

    Richard P. Hooper;Christine A. Shoemaker

  • Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions

    Rommel G. Regis;Christine A. Shoemaker

  • ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions

    Stefan M. Wild;Rommel G. Regis;Christine A. Shoemaker

  • Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization

    Rommel G. Regis;Christine A. Shoemaker

  • Dynamic optimal control for groundwater remediation with flexible management periods

    Teresa B. Culver;Christine A. Shoemaker

  • Numerical solution of continuous-state dynamic programs using linear and spline interpolation

    Sharon A. Johnson;Christine A. Shoemaker;Ying Li;José Alberto Tejada-Guibert

  • SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

    Juliane MüLler;Christine A. Shoemaker;Robert Piché

  • Cannonsville Reservoir Watershed SWAT2000 model development, calibration and validation

    Bryan A. Tolson;Christine A. Shoemaker

  • Local function approximation in evolutionary algorithms for the optimization of costly functions

    R.G. Regis;C.A. Shoemaker

  • Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming

    Victoria C. P. Chen;David Ruppert;Christine A. Shoemaker

  • Scalable thread scheduling and global power management for heterogeneous many-core architectures

    Jonathan A. Winter;David H. Albonesi;Christine A. Shoemaker

  • Improved Strategies for Radial basis Function Methods for Global Optimization

    Rommel G. Regis;Christine A. Shoemaker

  • Introduction to special section on uncertainty assessment in surface and subsurface hydrology: An overview of issues and challenges

    Alberto Montanari;Christine A. Shoemaker;Nick van de Giesen

  • Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems

    Juliane Müller;Christine A. Shoemaker

  • Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

    Taimoor Akhtar;Christine A. Shoemaker

  • Optimal time-varying pumping rates for groundwater remediation: Application of a constrained optimal control algorithm

    Liang-Cheng Chang;Christine A. Shoemaker;Philip L.-F. Liu

  • Calibration and Validation of Soil and Water Assessment Tool on an Agricultural Watershed in Upstate New York

    Jennifer Benaman;Christine A. Shoemaker;Douglas A. Haith

  • Convergence in unconstrained discrete-time differential dynamic programming

    L.-Z. Liao;C.A. Shoemaker

  • Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates.

    Ilija Ilievski;Taimoor Akhtar;Jiashi Feng;Christine Annette Shoemaker

Frequent Co-Authors

David Ruppert
David Ruppert Cornell University
Leonard W. Lion
Leonard W. Lion Cornell University
David H. Albonesi
David H. Albonesi Cornell University
Barbara S. Minsker
Barbara S. Minsker Southern Methodist University
Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Avi Ostfeld
Avi Ostfeld Technion – Israel Institute of Technology
Jiashi Feng
Jiashi Feng ByteDance
David Pimentel
David Pimentel Cornell University
Philip L.-F. Liu
Philip L.-F. Liu National University of Singapore
Natalie M. Mahowald
Natalie M. Mahowald Cornell University

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