Barbara Minsker

Publications

• Proposing a framework for crowd-sourced green infrastructure design
• Forecasting hypoxia in Corpus Christi Bay, Texas by model fusion
• A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design
• Patterns of regional hydroclimatic shifts: An analysis of changing hydrologic regimes
• Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs
• A text mining framework for advancing sustainability indicators
• Machine learning assessments of soil drying for agricultural planning
• Reducing combined sewer overflows through model predictive control and capital investment
• Monitoring network design for phytoremediation systems using primary and secondary data sources
• Anomaly detection in streaming environmental sensor data: A data-driven modeling approach
• The microelectronic wireless nitrate sensor network for environmental water monitoring
• Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework
• Image-based machine learning for reduction of user fatigue in an interactive model calibration system
• Exploring the Role of Social Media and Individual Behaviors in Flood Evacuation Processes: An Agent-Based Modeling Approach
• Benefits of meta-model validation for real-time sewer system decision support
• Sensing and cyberinfrastructure for smarter water management: The promise and challenge of ubiquity
• Brown Dog: Leveraging everything towards autocuration
• Using similarity of soil texture and hydroclimate to enhance soil moisture estimation
• An architecture for automatic deployment of brown dog services at scale into diverse computing infrastructures
• Evaluating the impacts of farmers' behaviors on a hypothetical agricultural water market based on double auction
• A virtual sensor system for user-generated, real-time environmental data products
• Identification of landscape preferences by using social media analysis
• Water science software institute: An open source engagement process
• Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis
• Evolutionary algorithm enhancement for model predictive control and real-time decision support
• Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent-Based Modeling Framework
• Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
• Water science software institute: Agile and open source scientific software development
• Progress and recommendations for advancing performance-based sustainable and resilient infrastructure design
• New method for the offline solution of pressurized and supercritical flows
• Autocuration cyberinfrastructure for scientific discovery and preservation
• Brown dog: Making the digital world a better place, a few files at a time
• Computationally implicit hydraulics for real-time combined sewer overflow modeling and decision support
• Integrated real time geospatial sensor web and visual analytics for environmental decision support
• Understanding and forecasting hypoxia using machine learning algorithms
• Evolutionary algorithm memory enhancement for real-time CSO control
• Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events
• Adaptive sampling of streaming signals
• Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design
• Cost/benefit assessment of green infrastructure: Spatial scale effects on uncertainty and sensitivity
• Development of a participatory Green Infrastructure design, visualization and evaluation system in a cloud supported jupyter notebook computing environment
• Efficient Metamodel Approach to Handling Constraints in Nonlinear Optimization for Drought Management
• Service-Driven Modeling Approach to Managing Water Allocation in Priority Doctrine Regions
• Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis
• Civil engineering education summit mapping the future of civil engineering education
• A novel computational green infrastructure design framework for hydrologic and human benefits
• Do infrastructure deserts exist? Measuring and mapping infrastructure equity: A case study in Dallas, Texas, USA
• Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions
• Spatio‐Temporal Analysis of Hypoxia in the Central Basin of Lake Erie of North America
• Algorithmic Characterization of Lake Stratification and Deep Chlorophyll Layers From Depth Profiling Water Quality Data
• An interactive multi-objective optimization framework for groundwater inverse modeling
• A new framework for on-demand virtualization, repurposing and fusion of heterogeneous sensors
• Bias-corrected groundwater model prediction uncertainty analysis
• Waters network - Transforming the way the US assesses water quality and manages this valuable and threatened resource
• Real time assessment of drinking water systems using a dynamic Bayesian network
• The WATERS Network: Transforming our scientific understanding of the nation's waters
• Integrated hydrologic science and environmental engineering observatory: The cleaner vision for the waters network
• Interactive multi-objective inverse groundwater modeling for the WIPP site
• An environmental information system for hypoxia in Corpus Christi Bay: A WATERS network testbed
• Multiscale island injection genetic algorithms for groundwater remediation
• Adaptive hybrid genetic algorithm for groundwater remediation design
• Reducing online contaminant monitoring uncertainty using a bayesian belief network
• Evolutionary optimization of combined sewer overflow control
• Optimizing groundwater remediation designs under uncertainty using dynamic surrogate models
• Bayesian belief networks to integrate monitoring evidence of water distribution system contamination
• Near-real-time precipitation virtual sensor using NEXRAD data
• Standard interactive genetic algorithm - Comprehensive optimization framework for groundwater monitoring design
• Uncertainty-based multiobjective optimization of groundwater remediation design
• Interactive multi-objective inverse groundwater modeling -Formulation and addressing user fatigue
• Data mining to improve management and reduce costs of environmental remediation
• A full multiscale computational approach for groundwater management modeling
• A multiobjective approach to long-term groundwater monitoring design
• State of the art for genetic algorithms and beyond in water resources planning and management
• Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm
• Reducing long-term remedial costs by transport modeling optimization
• Effects of local search algorithms on groundwater remediation optimization using a self-adaptive hybrid genetic algorithm
• A collaborative interactive genetic algorithm framework for mixed-initiative interaction with human and simulated experts: A case study in long-term groundwater monitoring design
• Interactive multi-objective inverse groundwater modelling - Incorporating subjective knowledge and conceptual uncertainty
• Monitoring subsurface contamination using tree branches
• Virtual sensors in a Web 2.0 virtual watershed
• Optimizing long term monitoring at a BP site using multi-objective optimization
• Evaluation of advanced genetic algorithms applied to groundwater remediation design
• Upscaling models of solute transport in porous media through genetic programming
• Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions
• The waters network: An integrated environmental observatory network for water research
• End-to-end cyberinfrastructure for real-time enviornmental decision support
• Expert knowledge in long-term groundwater monitoring optimization process: The interactive genetic algorithm perspective
• Interactive genetic algorithms for inverse groundwater modeling: Issues with human fatigue and prediction models
• Groundwater remediation design using multiscale genetic algorithms
• Optimal groundwater remediation design using trust region based metamodels within a genetic algorithm
• Which groundwater remediation objective is better: A realistic one or a simple one?
• NCSA environmental cyberinfrastructure demonstration project: Creating cyberenvironments for environmental engineering and hydrological science communities
• Predicting CSOs for real time decision support
• Analysis of model sensitivity and uncertainty for chlorine transport and decay in a water distribution system
• The role of the systems community in the National Science Foundation's environmental observatories
• Development of the enhanced self-adaptive hybrid genetic algorithm (e-SAHGA)
• Integrating data sources to improve hydraulic head predictions: A hierarchical machine learning approach
• Data mining to inform total coliform monitoring plan design
• Real-time Bayesian anomaly detection in streaming environmental data
• Genetic algorithms
• One-way spatial multiscale method for optimal bioremediation design
• Efficient multiscale methods for optimal in situ bioremediation design
• Multiscale computational techniques for optimal groundwater in-situ bioremediation design
• Uncertainty based multi-objective optimization of groundwater remediation at the Umatilla Chemical Depot
• Efficient use of a genetic algorithm for long-term groundwater monitoring design
• Optimizing in situ bioremediation of groundwater
• A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data
• Combining Reliability and Pareto Optimality - An Approach Using Stochastic Multi-Objective Genetic Algorithms
• A Dynamic Meta-Model Approach to Genetic Algorithm Solution of a Risk-Based Groundwater Remediation Design Model
• Future Needs for Long-Term Monitoring Design
• Multiscale Strategies for Solving Water Resources Management Problems with Genetic Algorithms
• Interactive genetic algorithm framework for long term groundwater monitoring design
• Modeling and Characterization of Uncertainty for Optimization of Groundwater Remediation at the Umatilla Chemical Depot
• Optimal sampling in a noisy genetic algorithm for risk-based remediation design
• Performance evaluation and population reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA)
• Simplifying multiobjective optimization using genetic algorithms
• Computational issues associated with optimal design of in situ bioremediation
• Application of flow and transport optimization codes to groundwater pump and treat system optimization
• The role of risk and uncertainty in groundwater remediation design
• Efficient methods for including uncertainty and multiple objectives in water resources management models using genetic algorithms
• Which Groundwater Remediation Objective is Better, a Realistic One or a Simple One?
• Integrating data sources to optimize long-term monitoring, operation, and stewardship
• Multiscale Island injection genetic algorithm for ground water remediation
• Local search issues for the aplication of a self-adaptive hybrid genetic algorithm in groundwater remediation design
• Multiscale optimal control of in Situ bioremediation
• Designing a competent simple genetic algorithm for search and optimization
• Risk-based in situ bioremediation design using a noisy genetic algorithm
• Long-term groundwater monitoring optimization: Improving performance and reducing costs associated with natural attenuation and other in situ treatments
• Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation
• Dynamic optimal control of in-situ bioremediation of ground water
• Risk based corrective action design using genetic algorithms
• Optimal settings for a hybrid genetic algorithm applied to a groundwater remediation problem
• The practitioner's role in competent search and optimization using genetic algorithms
• Why optimize long term groundwater monitoring design? A multiobjective case study of Hill Air Force Base
• Differentiating a finite element biodegradation simulation model for optimal control
• Spatial multiscale techniques for groundwater management modeling
• Striking the balance: Long-term groundwater monitoring design for conflicting objectives
• Computational issues for optimal in-situ bioremediation design
• Spatial Interpolation Methods for Nonstationary Plume Data
• Full multiscale approach for optimal control of in situ bioremediation
• Feasibility study of thermal in situ bioremediation
• Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II
• Cost-effective long-term monitoring design for intrinsic bioremediation
• Quantifying the effects of uncertainty on optimal groundwater bioremediation policies
• Cost-Effective Risk Management of Groundwater Contamination