Publications


Word Cloud

Peer Reviewed Papers

  • Minsker, B., L. Baldwin, J. Crittenden, K. Kabbes, M. Karamouz, K. Lansey, T. Malinowski, E. Nzewi, A. Pandit, J. Parker, S. Rivera, C. Surbeck, B. Wallace, and J. Williams (2015). Progress and Recommendations for Advancing Performance-Based Sustainable and Resilient Infrastructure Design, Journal of Water Resources Planning & Management.
    Abstract
  • Rivera, S., B. Minsker, D. Work, and D. Roth, (2014). A text mining framework for advancing sustainability indicators, Environmental Modelling and Software.
    Abstract
  • Coopersmith, E., B. Minsker, C. Wenzel, and B. Gilmore (2014). Machine learning assessments of soil drying for agricultural planning, Journal of Computers and Electronics in Agriculture.
    Abstract
  • Hill, David J., Branko Kerkez, Amin Rasekh, M. Katherine Banks, Barbara Minsker, Avi Ostfeld (2014). Sensing and Cyberinfrastructure for Smarter Water Management: The Challenge of Ubiquity, Journal of Water Resources Planning and Management.
    Abstract
  • Coopersmith, E., B. Minsker, and M. Sivapalan (2014). Using similarity of soil texture and hydroclimate to enhance soil moisture estimation, Hydrol. Earth Syst. Sci..
    Abstract
  • Coopersmith, E., B. Minsker, and M. Sivapalan (2014). Patterns of regional hydroclimatic shifts: An analysis of changing hydrologic regimes, Water Resources Research.
    Abstract
  • Maier, H.R., Z. Kapelan, J. Kasprzyk, J. Kollat, L.S. Matott, M.C. Cunha, G.C. Dandy, M.S. Gibbs, E. Keedwell, A. Marchi, A. Ostfeld, D. Savic, D.P. Solomatine, J.A. Vrugt, A.C. Zecchin, B.S. Minsker, E.J. Barbour, G. Kuczera, F. Pasha, A. Castelletti, M. Giuliani, P.M. Reed (2014). Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions, Environmental Modelling & Software.
    Abstract
  • Zimmer, A., Schmidt, A., Ostfeld, A. & Minsker, B. (2013). A New Method for the Offline Solution of Pressurized and Supercritical Flows, Journal of Hydraulic Engineering.
    Abstract
  • Ahalt, S.,Band, L., Minsker, B., Palmer, M., Tiemann, M., Idaszak, R., Lendhardt, C. & Whitton, M. (2013). Water Science Software Institute: An Open Source Engagement Process, Proceedings of the 2013 International Workshop on Software Engineering for Computational Science and Engineering.
    Abstract
  • Wietsma, T. & B. Minsker (2012). Adaptive sampling of streaming signals, 2012 IEEE 8th International Conference on E-Science, Chicago, IL.
    Abstract
  • Gartial, M., Braunschweig, B., Chang, T., Moinzadeh, P., Minsker, B., Agha, G., Wieckowski, A., Keefer, L. & Liu, G. (2012). Micro Electronic Wireless Nitrate Sensor Network for Environmental Water Monitoring, Environmental Science: Processes & Impacts (formerly J. Environ. Monit.).
    Abstract
  • Gartia, M., Braunschweig, B., Chang, T.-W., Moinzadeh, P., Minsker, B., Agha, G., Wieckowski, A., Keefer, L. & Liu, G. (2012). The microelectronic wireless nitrate sensor network for environmental water monitoring, Journal of Environmental Monitoring.
    Abstract
  • Wietsma, T. & Minsker, B. (2012). Adaptive sampling of streaming signals, 2012 IEEE 8th International Conference on E-Science, e-Science 2012.
    Abstract
  • Zimmer, A., Schmidt, A., Ostfeld, A. & Minsker, B. (2012). Computationally implicit hydraulics for real-time combined sewer overflow modeling and decision support, World Environmental and Water Resources Congress 2012: Crossing Boundaries, Proceedings of the 2012 Congress.
    Abstract
  • Babbar-Sebens ,M. & Minsker, B. (2012). Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design, Applied Soft Computing Journal.
    Abstract
  • Hill, D., Liu, Y., Marini, L., Kooper, R., Rodriguez, A., Minsker, B., Myers, J. & McLaren, T. (2011). Using A Virtual Sensor System to Create Real-Time Customized Environmental Data Products, Environmental Modelling and Software.
    Abstract
  • Babbar-Sebens, M. & Minsker, B. (2011). Interactive Genetic Algorithm With Mixed Initiative Interaction For Multi-Criteria Ground Water Monitoring Design, Applied Soft Computing.
    Abstract
  • Gopalakrishnan, G., Minsker, B. & Valocchi, A. (2011). Monitoring Network Design for Phytoremediation Systems Using Primary and Secondary Data Sources, Environmental Science and Technology.
    Abstract
  • Yan, S., & Minsker, B. (2011). Applying Dynamic Surrogate Models in Noisy Genetic Algorithms to Optimize Groundwater Remediation Design, Journal of Water Resources Planning and Management.
    Abstract
  • Coopersmith, E., Minsker, B. & Montagna, P. (2011). Understanding and Forecasting Hypoxia Using Machine Learning Algorithms, Journal of Hydroinformatics.
    Abstract
  • Hill, D., Liu, Y., Marini, L., Kooper, R., Rodriguez, A., Futrelle, J., Minsker, B., Myers, J. & McLaren, T. (2011). A virtual sensor system for user-generated, real-time environmental data products, Environmental Modelling and Software.
    Abstract
  • Zimmer, A., Minsker, B., Schmidt, A. & Ostfeld, A. (2011). Benefits of meta-model validation for real-time sewer system decision support, World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress.
    Abstract
  • Chinta I., Minsker B.S. (2011). Forecasting hypoxia in Corpus Christi Bay, Texas by model fusion, World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress.
    Abstract
  • Gopalakrishnan, G., Minsker, B. & Valocchi, A. (2011). Monitoring network design for phytoremediation systems using primary and secondary data sources, Environmental Science and Technology.
    Abstract
  • Yan, S. & Minsker, B. (2011). Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs, Journal of Water Resources Planning and Management.
    Abstract
  • Coopersmith, E., Minsker, B. & Montagna, P. (2011). Understanding and forecasting hypoxia using machine learning algorithms, Journal of Hydroinformatics.
    Abstract
  • Hill, D., Minsker, B. & Amir, E. (2010). Real-time Bayesian anomaly detection in streaming environmental data, Water Resources Research.
    Abstract
  • Babbar-Sebens, M. & Minsker, B. (2010). A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design, Environmental Modelling and Software.
    Abstract
  • Hill, D. & Minsker, B. (2010). Anomaly detection in streaming environmental sensor data: A data-driven modeling approach, Environmental Modelling and Software.
    Abstract
  • Liu, Y., Hill, D., Myers, J. & Minsker, B. (2010). Integrated real time geospatial sensor web and visual analytics for environmental decision support, World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010.
    Abstract
  • Chinta, I. & Minsker, B. (2010). Forecasting hypoxia in Corpus Christi Bay, Texas by model fusion, World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010.
    Abstract
  • Zimmer, A., Minsker, B., Schmidt, A. & Ostfeld, A. (2010). Evolutionary algorithm memory enhancement for real-time CSO control, World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010.
    Abstract
  • Nicklow, J., Reed, P., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., Karamouz, M., Minsker, B., Ostfeld, A., Singh, A. & Zechman, E. (2010). State of the art for genetic algorithms and beyond in water resources planning and management, Journal of Water Resources Planning and Management.
    Abstract
  • Singh, A., Walker, D., Minsker, B. & Valocchi, A. (2010). Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework, Stochastic Environmental Research and Risk Assessment.
    Abstract
  • Singh, A., Minsker, B. & Bajcsy, P. (2010). Image-based machine learning for reduction of user fatigue in an interactive model calibration system, Journal of Computing in Civil Engineering.
    Abstract

    Publications previous to 2010

    • Hill, D., Minsker, B. & Schmidt, A. (2009). Predicting CSOs for real time decision support, Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers.
      Abstract
    • Zimmer, A., Hill, D., Minsker, B., Ostfeld, A. & Schmidt, A. (2009). Evolutionary optimization of combined sewer overflow control, Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers.
      Abstract
    • Dawsey, W., Minsker, B. & Ostfeld, A. (2009). Analysis of model sensitivity and uncertainty for chlorine transport and decay in a water distribution system, Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers.
      Abstract
    • Liu, Y., Hill, D., Rodriguez, A., Marini, L., Kooper, R., Myers, J., Wu, X. & Minsker, B. (2009). A new framework for on-demand virtualization, repurposing and fusion of heterogeneous sensors, 2009 International Symposium on Collaborative Technologies and Systems, CTS 2009.
      Abstract
    • Demissie, Y., Valocchi, A., Minsker, B. & Bailey, B. (2009). Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions, Journal of Hydrology.
      Abstract
    • Singh, A., Walker, D., Minsker, B. & Valocchi, A. (2008). Interactive multi-objective inverse groundwater modelling - Incorporating subjective knowledge and conceptual uncertainty, World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008.
      Abstract
    • Hill, D., Liu, Y., Myers, J. & Minsker, B. (2008). End-to-end cyberinfrastructure for real-time enviornmental decision support, Proceedings - 4th IEEE International Conference on eScience, eScience 2008.
      Abstract
    • Liu, Y., Hill, D., Rodriguez, A., Marini, L., Kooper, R., Futrelle, J., Minsker, B. & Myers, J. (2008). Near-real-time precipitation virtual sensor using NEXRAD data, GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems.
      Abstract
    • Liu, Y., Marini, L., Kooper, R., Rodriguez, A., Hill, D., Myers, J. & Minsker, B. (2008). Virtual sensors in a Web 2.0 virtual watershed, Proceedings - 4th IEEE International Conference on eScience, eScience 2008.
      Abstract
    • Demissie, Y., Valocchi, A., Minsker, B. & Bailey, B. (2008). Bias-corrected groundwater model prediction uncertainty analysis, IAHS-AISH Publication.
      Abstract
    • Babbar-Sebens, M. & Minsker, B. (2008). Standard interactive genetic algorithm - Comprehensive optimization framework for groundwater monitoring design, Journal of Water Resources Planning and Management.
      Abstract
    • Singh, A., Minsker, B. & Valocchi, A. (2008). An interactive multi-objective optimization framework for groundwater inverse modeling, Advances in Water Resources.
      Abstract
    • Singh, A. & Minsker, B. (2008). Uncertainty-based multiobjective optimization of groundwater remediation design, Water Resources Research.
      Abstract
    • Babbar, M. & Minsker, B. (2007). A collaborative interactive genetic algorithm framework for mixed-initiative interaction with human and simulated experts: A case study in long-term groundwater monitoring design, Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006.
      Abstract
    • Dawsey, W., Minsker, B. & Amir, E. (2007). Real time assessment of drinking water systems using a dynamic Bayesian network, Restoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress.
      Abstract
    • Singh, A., Minsker, B., Valocchi, A. & Walker, D. (2007). Interactive multi-objective inverse groundwater modeling for the WIPP site, Restoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress.
      Abstract
    • Dawsey, W. & Minsker, B. (2007). Data mining to inform total coliform monitoring plan design, 8th Annual Water Distribution Systems Analysis Symposium 2006.
      Abstract
    • Singh, A. & Minsker, B. (2007). Interactive multi-objective inverse groundwater modeling -Formulation and addressing user fatigue, Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006.
      Abstract
    • Coopersmith, E., Minsker, B., Maidment, D., Ben, H., Bonner, J., Ojo, T. & Montagna, P. (2007). An environmental information system for hypoxia in Corpus Christi Bay: A WATERS network testbed, Restoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress.
      Abstract
    • Gopalakrishnan, G., Negri, M., Minsker, B. & Werth, C. (2007). Monitoring subsurface contamination using tree branches, Ground Water Monitoring and Remediation.
      Abstract
    • Yan, S. & Minsker, B. (2007). Optimizing groundwater remediation designs under uncertainty using dynamic surrogate models, Examining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006.
      Abstract
    • Montgomery, J., Harmon, T., Kaiser, W., Sanderson, A., Haas, C., Hooper, R., Minsker, B., Schnoor, J., Clesceri, N., Graham, W. & Brezonik, P. (2007). The waters network: An integrated environmental observatory network for water research, Environmental Science and Technology.
      Abstract
    • Hill, D., Minsker, B., Valocchi, A., Babovic, V. & Keijzer, M. (2007). Upscaling models of solute transport in porous media through genetic programming, Journal of Hydroinformatics.
      Abstract
    • Sinha, E. & Minsker, B. (2007). Multiscale island injection genetic algorithms for groundwater remediation, Advances in Water Resources.
      Abstract
    • Montgomery, J., Haas, C., Minsker, B. & Schnoor, J. (2007). The WATERS Network: Transforming our scientific understanding of the nation's waters, Water Environment Research.
      Abstract
    • Farrell, D., Minsker, B., Tcheng, D., Searsmith, D., Bohn, J. & Beckman, D. (2007). Data mining to improve management and reduce costs of environmental remediation, Journal of Hydroinformatics.
      Abstract
    • Estornell, P., Haas, C., Minsker, B., Schnoor, J. & Montgomery, J. (2007). Waters network - Transforming the way the US assesses water quality and manages this valuable and threatened resource, Water 21.
      Abstract
    • Characklis, G., Reed, P. & Minsker, B. (2007). The role of the systems community in the National Science Foundation's environmental observatories, Journal of Water Resources Planning and Management.
      Abstract
    • Minsker, B., Myers, J., Marikos, M., Wentling, T., Downey, S., Liu, Y., Bajcsy, P., Kooper, R., Marini, L., Contractor, N., Green, H. & Futrelle, J. (2006). NCSA environmental cyberinfrastructure demonstration project: Creating cyberenvironments for environmental engineering and hydrological science communities, Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06.
      Abstract
    • Haas, C., Montgomery, J., Minsker, B., Schnoor, J. & Reible, D. (2006). Integrated hydrologic science and environmental engineering observatory: The cleaner vision for the waters network, AIChE Annual Meeting, Conference Proceedings.
      Abstract
    • Becker, D., Minsker, B., Greenwald, R., Zhang, Y., Harre, K., Yager, K., Zheng, C. & Peralta, R. (2006). Reducing long-term remedial costs by transport modeling optimization, Ground Water.
      Abstract
    • Espinoza, F. & Minsker, B. (2006). Effects of local search algorithms on groundwater remediation optimization using a self-adaptive hybrid genetic algorithm, Journal of Computing in Civil Engineering.
      Abstract
    • Babbar, M. & Minsker, B. (2006). Groundwater remediation design using multiscale genetic algorithms, Journal of Water Resources Planning and Management.
      Abstract
    • Espinoza, F. & Minsker, B. (2006). Development of the enhanced self-adaptive hybrid genetic algorithm (e-SAHGA), Water Resources Research.
      Abstract
    • Dawsey, W., Minsker, B. & VanBlaricum, V. (2006). Bayesian belief networks to integrate monitoring evidence of water distribution system contamination, Journal of Water Resources Planning and Management.
      Abstract
    • Yan, S. & Minsker, B. (2006). Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm, Water Resources Research.
      Abstract
    • Singh, A., Minsker, B. & Takagi, H. (2005). Interactive genetic algorithms for inverse groundwater modeling: Issues with human fatigue and prediction models, World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress.
      Abstract
    • Babbar, M., Minsker, B. & Takagi, H. (2005). Expert knowledge in long-term groundwater monitoring optimization process: The interactive genetic algorithm perspective, World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress.
      Abstract
    • Hayes, M. & Minsker, B. (2005). Evaluation of advanced genetic algorithms applied to groundwater remediation design, World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress.
      Abstract
    • Dawsey, W., Minsker, B. & VanBlaricum, V. (2005). Reducing online contaminant monitoring uncertainty using a bayesian belief network, World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress.
      Abstract
    • Yan, S. & Minsker, B. (2005). Optimal groundwater remediation design using trust region based metamodels within a genetic algorithm, World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress.
      Abstract
    • Minsker, B., Groves, P. & Beckmann, D. (2005). Optimizing long term monitoring at a BP site using multi-objective optimization, World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress.
      Abstract
    • Ren, X. & Minsker, B. (2005). Which groundwater remediation objective is better: A realistic one or a simple one?, Journal of Water Resources Planning and Management.
      Abstract
    • Michael, W., Minsker, B., Tcheng, D., Valocchi, A. & Quinn, J. (2005). Integrating data sources to improve hydraulic head predictions: A hierarchical machine learning approach, Water Resources Research.
      Abstract
    • Espinoza, F., Minsker, B. & Goldberg, D. (2005). Adaptive hybrid genetic algorithm for groundwater remediation design, Journal of Water Resources Planning and Management.
      Abstract
    • Minsker B.S. (2004). Long-term groundwater monitoring optimization: Improving performance and reducing costs associated with natural attenuation and other in situ treatments, Bioremediation Journal.
      Abstract
    • Reed, P., Minsker, B. & Valocchi, A. (2004). Why optimize long term groundwater monitoring design? A multiobjective case study of Hill Air Force Base, Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001.
      Abstract
    • Reed, P., Minsker, B. & Valocchi, A. (2004). A multiobjective approach to long-term groundwater monitoring design, Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships.
      Abstract
    • Espinoza, F., Minsker, B. & Goldberg, D. (2004). Optimal settings for a hybrid genetic algorithm applied to a groundwater remediation problem, Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001.
      Abstract
    • Liu, Y., Minsker, B. & Saied, F. (2004). Spatial multiscale techniques for groundwater management modeling, Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships.
      Abstract
    • Gopalakrishnan, G., Minsker, B. & Goldberg, D. (2004). Optimal sampling in a noisy genetic algorithm for risk-based remediation design, Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001.
      Abstract
    • Reed, P., Minsker, B. & Goldberg, D. (2004). The practitioner's role in competent search and optimization using genetic algorithms, Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001.
      Abstract
    • Liu, Y. & Minsker, B. (2004). A full multiscale computational approach for groundwater management modeling, Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001.
      Abstract
    • Sinha, E., Minsker, B. & Babbar, M. (2004). Multiscale Island injection genetic algorithm for ground water remediation, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management.
      Abstract
    • Singh, A. & Minsker, B. (2004). Uncertainty based multi-objective optimization of groundwater remediation at the Umatilla Chemical Depot, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management.
      Abstract
    • Gopalakrishnan, G., Minsker, B. & Padera, B. (2004). Risk based corrective action design using genetic algorithms, Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001.
      Abstract
    • Yan, S. & Minsker, B. (2004). A dynamic meta-model approach to genetic algorithm solution of a risk-based groundwater remediation design model, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management.
      Abstract
    • Babbar, M., Minsker, B. & Takagi, H. (2004). Interactive genetic algorithm framework for long term groundwater monitoring design, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management.
      Abstract
    • Reed, P., Ellsworth, T. & Minsker, B. (2004). Spatial Interpolation Methods for Nonstationary Plume Data, Ground Water.
      Abstract
    • Reed, P. & Minsker, B. (2004). Striking the balance: Long-term groundwater monitoring design for conflicting objectives, Journal of Water Resources Planning and Management.
      Abstract
    • Liu, Y. & Minsker, B. (2004). Full multiscale approach for optimal control of in situ bioremediation, Journal of Water Resources Planning and Management.
      Abstract
    • Ren, X. & Minsker, B. (2003). Which Groundwater Remediation Objective is Better, a Realistic One or a Simple One?, World Water and Environmental Resources Congress.
      Abstract
    • Singh, A., Minsker, B. & Goldberg, D. (2003). Combining Reliability and Pareto Optimality - An Approach Using Stochastic Multi-Objective Genetic Algorithms, World Water and Environmental Resources Congress.
      Abstract
    • Singh, A. & Minsker, B. (2003). Modeling and Characterization of Uncertainty for Optimization of Groundwater Remediation at the Umatilla Chemical Depot, World Water and Environmental Resources Congress.
      Abstract
    • Reed, P., Minsker, B. & Goldberg, D. (2003). Simplifying multiobjective optimization using genetic algorithms, World Water and Environmental Resources Congress.
      Abstract
    • Espinoza, F., Minsker, B. & Goldberg, D. (2003). Performance evaluation and population reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
      Abstract
    • Yan, S. & Minsker, B. (2003). A Dynamic Meta-Model Approach to Genetic Algorithm Solution of a Risk-Based Groundwater Remediation Design Model, World Water and Environmental Resources Congress.
      Abstract
    • Espinoza, F., Minsker, B. & Goldberg, D. (2003). Local search issues for the aplication of a self-adaptive hybrid genetic algorithm in groundwater remediation design, World Water and Environmental Resources Congress.
      Abstract
    • Yeh, L., Becker, D., Harre, K., Yager, K., Greenwald, R., Minsker, B., Peralta, R., Zhang, Y. & Zheng, C. (2003). Application of flow and transport optimization codes to groundwater pump and treat system optimization, World Water and Environmental Resources Congress.
      Abstract
    • Babbar, M. & Minsker, B. (2003). Multiscale Strategies for Solving Water Resources Management Problems with Genetic Algorithms, World Water and Environmental Resources Congress.
      Abstract
    • Minsker, B., Davis, C., Dougherty, D. & Williams, G. (2003). Future Needs for Long-Term Monitoring Design, World Water and Environmental Resources Congress.
      Abstract
    • Reed, P., Minsker, B. & Goldberg, D. (2003). Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II, Water Resources Research.
      Abstract
    • Michael, W., Tcheng, D., Minsker, B., Valocchi, A., Quinn, J. & Williams, G. (2002). Integrating data sources to optimize long-term monitoring, operation, and stewardship, Proceedings of the Third International Conference on Remediation of Chlorinated and Recalcitrant Compounds.
      Abstract
    • Liu, Y. & Minsker, B. (2002). Efficient multiscale methods for optimal in situ bioremediation design, Journal of Water Resources Planning and Management.
      Abstract
    • Liu, Y., Minsker, B. & Saied, F. (2001). One-way spatial multiscale method for optimal bioremediation design, Journal of Water Resources Planning and Management.
      Abstract
    • Reed, P., Minsker, B. & Goldberg, D. (2000). Designing a competent simple genetic algorithm for search and optimization, Water Resources Research.
      Abstract
    • Reed, P., Minsker, B. & Valocchi, A. (2000). Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation, Water Resources Research.
      Abstract
    • Smalley, J., Minsker, B. & Goldberg, D. (2000). Risk-based in situ bioremediation design using a noisy genetic algorithm, Water Resources Research.
      Abstract
    • Minsker, B., Smalley, J. & Padera, B. (2000). The role of risk and uncertainty in groundwater remediation design, ACS Division of Environmental Chemistry, Preprints.
      Abstract
    • Kosegi, J., Minsker, B. & Dougherty, D. (2000). Feasibility study of thermal in situ bioremediation, Journal of Environmental Engineering.
      Abstract
    • Reed, P., Minsker, B., Valocchi, A. & Goldberg, D. (2000). Efficient use of a genetic algorithm for long-term groundwater monitoring design, Computational methods in water resources - Volume 1 - Computational methods for subsurface flow and transport.
      Abstract
    • Liu, Y., Minsker, B. & Saied, F. (2000). Multiscale computational techniques for optimal groundwater in-situ bioremediation design, Computational methods in water resources - Volume 1 - Computational methods for subsurface flow and transport.
      Abstract
    • Minsker, B., Padera, B. & Smalley, J. (2000). Efficient methods for including uncertainty and multiple objectives in water resources management models using genetic algorithms, Computational methods in water resources - Volume 1 - Computational methods for subsurface flow and transport.
      Abstract
    • Minsker, B. & Shoemaker, C. (1998). Quantifying the effects of uncertainty on optimal groundwater bioremediation policies, Water Resources Research.
      Abstract
    • Minsker, B. & Shoemaker, C. (1998). Computational issues for optimal in-situ bioremediation design, Journal of Water Resources Planning and Management.
      Abstract
    • Minsker, B. & Shoemaker, C. (1997). Computational issues associated with optimal design of in situ bioremediation, Proceedings of the Annual Water Resources Planning and Management Conference.
      Abstract
    • Minsker,B. & Shoemaker, C. (1996). Differentiating a finite element biodegradation simulation model for optimal control, Water Resources Research.
      Abstract
    • Minsker, B. & Shoemaker, C. (1995). Optimizing in situ bioremediation of groundwater, .
      Abstract

  • Conference Proceedings

  • Padhy, Smruty, Greg Jansen, Jay Alameda, Edgar Black, Liana Diesendruck, Mike Dietze, Praveen Kumar, Rob Kooper, Jong Lee, Riu Liu, Ricard Marciano, Luigi Marini, Dave Mattson, Barbara Minsker, Chris Navarro, Marcus Slavenas, William Sullivan, Jason Votava, and Kenton McHenry (2015). Brown Dog: Leveraging Everything Towards Autocuration, 2015 IEEE International Conference on Big Data (IEEE BigData 2015).
    Abstract
  • Chinta, I. and Minsker, B. (2011). Forecasting Hypoxia in Corpus Christi Bay, Texas, by Model Fusion, World Environmental and Water Resources Congress, 167, 1611-1619.
    Abstract
  • Zimmer, A. and Minsker, B. and Schmidt, A. and Ostfeld, A. (2011). Benefits of Meta-Model Validation for Real-Time Sewer System Decision Support, World Environmental and Water Resources Congress, 303, 2911-2919.
    Abstract
  • Zimmer, A. and Minsker, B. and Schmidt, A. and Ostfeld, A. (2010). Evolutionary Algorithm Memory Enhancement for Real-Time CSO Control, World Environmental and Water Resources Congress, 231, 2251-2259.
    Abstract

    Publications previous to 2010

    • Hill, D., Minsker, B., Amir, E., and Choi, J (2009). Real-time anomaly detection in precipitation sensors, Proceedings of the 8th International Conference on Hydroinformatics .
      Abstract
    • Minsker, B.S. and Coopersmith, E. (2009). Harnessing the power of sensor and cyberinfrastructure towards environmental sustainability The WATERS Network vision and testbedding research, Proceedings of the 8th International Conference on Hydroinformatics .
      Abstract
    • Zimmer, A. and Hill, D. and Minsker, B. and Ostfeld, A. and Schmidt, A. (2009). Evolutionary Optimization of Combined Sewer Overflow Control, World Environmental and Water Resources Congress, 109, 1-13.
      Abstract
    • Hill, D. and Minsker, B. and Schmidt, A. (2009). Predicting CSOs for Real Time Decision Support, World Environmental and Water Resources Congress, 219, 1-10.
      Abstract
    • Dawsey, W. and Minsker, B. and Ostfeld, A. (2009). Analysis of Model Sensitivity and Uncertainty for Chlorine Transport and Decay in a Water Distribution System, World Environmental and Water Resources Congress, 63, 1-11.
      Abstract
    • Hill, D.J. and Yong Liu and Myers, J. and Minsker, B. (2008). End-to-End Cyberinfrastructure for Real-Time Enviornmental Decision Support, eScience, 2008. eScience 08. IEEE Fourth International Conference on.
      Abstract
    • Liu, Y., Hill, D.J., Abdelzaher, T., Heo, J., Choi, J., Minsker, B., & Fazio, D (2008). Virtual sensor powered spatiotemporal aggregation and transformation A case study analyzing near-real-time NEXRAD and precipitation gauge data in a digital watershed, Proceedings of the Environmental Information Management Conference.
      Abstract
    • Liu, Yong and Hill, David J. and Rodriguez, Alejandro and Marini, Luigi and Kooper, Rob and Futrelle, Joe and Minsker, Barbara and Myers, James D. (2008). Near-real-time precipitation virtual sensor using NEXRAD data, Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems.
      Abstract
    • Yong Liu and Marini, L. and Kooper, R. and Rodriguez, A. and Hill, D. and Myers, J. and Minsker, B. (2008). Virtual Sensors in a Web 2.0 Virtual Watershed, eScience, 2008. eScience '08. IEEE Fourth International Conference on.
      Abstract
    • DEMISSIE, Yonas and VALOCCHI, Albert and MINSKER, Barbara and BAILEY, Barbara (2008). Bias-corrected groundwater model prediction uncertainty analysis, .
      Abstract
    • Nelson, K., Montagna, P., Maidment, D., Hodges, B., To, E., Kulis, P., Minsker, B., & Coopersmith, E. (2007). Web Services Facilitate Hypoxia Modeling of Corpus Christi Bay, TX, Proceedings of the Estuarine Research Federation Biennial Meeting .
      Abstract
    • Hill, D.J., Minsker, B.S., & Amir, E. (2007). Real-time Bayesian anomaly detection for environmental sensor data, Proceedings of the 32nd Congress of IAHR, International Association of Hydraulic Engineering and Research .
      Abstract
    • Singh, A. and Minsker, B. and Valocchi, A. and Walker, D. (2007). Interactive Multi-Objective Inverse Groundwater Modeling for the WIPP Site, World Environmental and Water Resources Congress, 160, 1-11.
      Abstract
    • Coopersmith, E. and Minsker, B. and Maidment, D. and Hodges, B. and Bonner, J. and Ojo, T. and Montagna, P. (2007). An Environmental Information System for Hypoxia in Corpus Christi Bay: A WATERS Network Testbed, World Environmental and Water Resources Congress, 288, 1-14.
      Abstract
    • Dawsey, W. and Minsker, B. and Amir, E. (2007). Real Time Assessment of Drinking Water Systems Using a Dynamic Bayesian Network, World Environmental and Water Resources Congress, 506, 1-6.
      Abstract
    • Hill, David J. and Minsker, Barbara S. and Amir, Eyal (2007). Real-time Bayesian Anomaly Detection for Environmental Sensor Data, Proceedings of the 32nd conference of IAHR.
      Abstract
    • Hill, D.J., & Minsker, B.S. (2006). Automated fault detection: Preparing real-time data for adaptive management, Proceedings of the American Water Resource Association (AWRA) Summer Specialty Conference on Adaptive Management .
      Abstract
    • Singh, A. and Minsker, B. (2006). Interactive Multi-Objective Inverse Groundwater Modeling-Formulation and Addressing User Fatigue, World Environmental and Water Resource Congress, 114, 1-10.
      Abstract
    • Hayes, M. and Minsker, B. (2005). Evaluation of Advanced Genetic Algorithms Applied to Groundwater Remediation Design, Impacts of Global Climate Change, 339, 1-9.
      Abstract
    • Babbar, M. and Minsker, B. and Takagi, H. (2005). Expert Knowledge in Long-Term Groundwater Monitoring Optimization Process: The Interactive Genetic Algorithm Perspective, Impacts of Global Climate Change, 340, 1-12.
      Abstract
    • Singh, A. and Minsker, B. and Takagi, H. (2005). Interactive Genetic Algorithms for Inverse Groundwater Modeling: Issues with Human Fatigue and Prediction Models, Impacts of Global Climate Change, 345, 1-12.
      Abstract
    • Yan, S. and Minsker, B. (2005). Optimal Groundwater Remediation Design Using Trust Region Based Metamodels within a Genetic Algorithm, Impacts of Global Climate Change, 348, 1-12.
      Abstract
    • Minsker, B. and Groves, P. and Beckmann, D. (2005). Optimizing Long Term Monitoring at a BP Site Using Multi-Objective Optimization, Impacts of Global Climate Change, 377, 1-5.
      Abstract
    • Dawsey, W. and Minsker, B. and VanBlaricum, V. (2005). Reducing Online Contaminant Monitoring Uncertainty Using a Bayesian Belief Network, Impacts of Global Climate Change, 42, 1-12.
      Abstract
    • Ren, X. and Minsker, B. (2005). Which Groundwater Remediation Objective is Better: A Realistic One or a Simple One?, .
      Abstract
    • Babbar, M. and Minsker, B. and Takagi, H. (2004). Interactive Genetic Algorithm Framework for Long Term Groundwater Monitoring Design, Critical Transitions in Water and Environmental Resources Management, 234, 1-10.
      Abstract
    • Sinha, E. and Minsker, B. and Babbar, M. (2004). Multiscale Island Injection Genetic Algorithm for Ground Water Remediation, Critical Transitions in Water and Environmental Resources Management, 245, 1-8.
      Abstract
    • Yan, S. and Minsker, B. (2004). A Dynamic Meta-Model Approach to Genetic Algorithm Solution of a Risk-Based Groundwater Remediation Design Model, Critical Transitions in Water and Environmental Resources Management, 248, 1-10.
      Abstract
    • Singh, A. and Minsker, B. (2004). Uncertainty Based Multi-Objective Optimization of Groundwater Remediation at the Umatilla Chemical Depot, Critical Transitions in Water and Environmental Resources Management, 95, 1-10.
      Abstract
    • Minsker, B.S., & the ASCE/EWRI Task Committee on the State of the Art in Long-Term Groundwater Monitoring Design (2003). Optimization of long-term groundwater monitoring, Proceedings of the 2003 AFCEE Technology Transfer Workshop .
      Abstract
    • Singh, A. and Minsker, B. (2003). Modeling and Characterization of Uncertainty for Optimization of Groundwater Remediation at the Umatilla Chemical Depot, World Water & Environmental Resources Congress, 117, 1-9.
      Abstract
    • Babbar, M. and Minsker, B. (2003). Multiscale Strategies for Solving Water Resources Management Problems with Genetic Algorithms, World Water & Environmental Resources Congress, 120, 1-10.
      Abstract
    • Espinoza, F. and Minsker, B. and Goldberg, D. (2003). Local Search Issues for the Application of a Self-Adaptive Hybrid Genetic Algorithm in Groundwater Remediation Design, World Water & Environmental Resources Congress, 20, 1-10.
      Abstract
    • Singh, A. and Minsker, B. and Goldberg, D. (2003). Combining Reliability and Pareto Optimality-An Approach Using Stochastic Multi-Objective Genetic Algorithms, World Water & Environmental Resources Congress, 91, 1-10.
      Abstract
    • Arst. R., Minsker, B.S., & Goldberg, D. (2002). Comparing Advanced Genetic Algorithms and Simple Genetic Algorithms for Groundwater Management, Proceedings of the American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) 2002 Water Resources Planning & Management Conference .
      Abstract
    • Babbar, M., Minsker, B.S., & Goldberg, D. (2002). A Multiscale Island Injection Genetic Algorithm for Optimal Groundwater Remediation Design, Proceedings of the American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) 2002 Water Resources Planning & Management Conference .
      Abstract
    • Michael, W.J., Tcheng, D.K., Minsker, B.S., Valocchi, A.J., Quinn, J.J., & Williams, G.P. (2002). Integrating Data Sources to Optimize Long-Term Monitoring, Operation, and Stewardship, Proceedings of the American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) 2002 Water Resources Planning & Management Conference .
      Abstract
    • Reed, P., Minsker, B.S., & Valocchi, A.J. (2002). Walking the Tightrope: Long Term Monitoring Design for Multiple Objectives, Proceedings of the American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) 2002 Water Resources Planning & Management Conference .
      Abstract
    • Meghna Babbar and Barbara S. Minsker (2002). A Multiscale Master-Slave Parallel Genetic Algorithm with Application to Groundwater Remediation Design, Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002.
      Abstract
    • Reed, PM and Minsker, BS (2002). Discovery \& Negotiation using Multiobjective Genetic Algorithms: A Case Study in Groundwater Monitoring Design, .
      Abstract
    • Espinoza, F., Minsker, B.S., & Goldberg, D. (2001). A Self-Adaptive Hybrid Genetic Algorithm, Proceedings of the Genetic and Evolutionary Computation Conference .
      Abstract
    • Gopalakrishnan, G. and Minsker, B. and Padera, B. (2001). Risk Based Corrective Action Design Using Genetic Algorithms, Bridging the Gap, 100, 1-9.
      Abstract
    • Reed, P. and Minsker, B. and Valocchi, A. (2001). Why Optimize Long Term Groundwater Monitoring Design? A Multiobjective Case Study of Hill Air Force Base, Bridging the Gap, 501, 1-8.
      Abstract
    • Gopalakrishnan, G. and Minsker, B. and Goldberg, D. (2001). Optimal Sampling in a Noisy Genetic Algorithm for Risk-Based Remediation Design, Bridging the Gap, 93, 1-8.
      Abstract
    • Espinoza, F. and Minsker, B. and Goldberg, D. (2001). Optimal Settings for a Hybrid Genetic Algorithm Applied to a Groundwater Remediation Problem, Bridging the Gap, 94, 1-10.
      Abstract
    • Reed, P. and Minsker, B. and Goldberg, D. (2001). The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms, Bridging the Gap, 96, 1-9.
      Abstract
    • Minsker, B.S., Smalley, J.B., & Padera, B. (2000). The Role of Risk and Uncertainty in Groundwater Remediation Design, .
      Abstract
    • Reed, P.M., Minsker, B.S., & Valocchi, A.J. (2000). A multiobjective approach to long-term groundwater monitoring design., Proceedings of the ASCE Water Resources Planning and Management and Water Resources Engineering Joint Conference .
      Abstract
    • Liu, Y., Minsker, B.S, & Saied, F. (2000). Multiscale computational techniques for optimal groundwater in-situ bioremediation design., Proceedings of the XIII International Conference on Computational Methods in Water Resources .
      Abstract
    • Minsker, B.S., Padera, B., & Smalley, J.B. (2000). Efficient methods for including uncertainty and multiple objectives in water resources management models using genetic algorithms, .
      Abstract
    • Reed, P.M., Minsker, B.S., Valocchi, A.J., & Goldberg, D.E. (2000). Efficient use of a genetic algorithm for long-term groundwater monitoring design., .
      Abstract
    • Liu, Y. and Minsker, B. and Saied, F. (2000). Spatial Multiscale Techniques for Groundwater Management Modeling, Building Partnerships, 379, 1-5.
      Abstract
    • Reed, P. and Minsker, B. and Valocchi, A. (2000). A Multiobjective Approach to Long-Term Groundwater Monitoring Design, Building Partnerships, 387, 1-5.
      Abstract
    • Minsker, B.S., & Smalley, J.B. (1999). Cost-effective risk-based in situ bioremediation design., Proceedings of the 5th International In Situ and On-site Bioremediation Symposium, 349-354.
      Abstract
    • Reed, P.M., Minsker, B.S., & Valocchi, A. (1999). Cost-effective long-term monitoring design for intrinsic bioremediation, Proceedings of the 5th International In Situ and On-site Bioremediation Symposium, 301-306.
      Abstract
    • Reed, P. and Minsker, B. and Valocchi, A. (1999). Cost-Effective Long-Term Monitoring Design for Intrinsic Bioremediation, WRPMD'99, 110, 1-10.
      Abstract
    • Liu, Y. and Minsker, B. and Saied, F. (1999). Multiscale Optimal Control of In Situ Bioremediation, WRPMD'99, 88, 1-9.
      Abstract
    • Kosegi, J.M., Minsker, B.S., & Dougherty, D.E. (1997). Thermally-enhanced in situ bioremediation of DNAPL, In Situ and On-Site Bioremediation: Volume 4, 135-140.
      Abstract
    • Smalley, J.B., & Minsker, B.S. (1997). Risk-Based In Situ Bioremediation Design, In Situ and On-Site Bioremediation: Volume 4 353-358.
      Abstract

  • Thesis

  • Zimmer, A. (2014). Hydraulic modeling and evolutionary optimization for enhanced real-time decision support of combined sewer overflows, Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Zhao, T. (2014). Enabling real-time water decision support services using model as a service, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Evan, C. (2013). Data-driven modeling of hydroclimatic trends and soil moisture: multi-scale data integration and decision support, Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Ankit, R. (2013). Designing green stormwater infrastructure for hydrologic and human benefits: an image based machine learning approach, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Rivera, S. (2013). Advancing sustainability indicators through text mining: a feasibility demonstration, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Wietsma, T. (2012). Adaptive sampling for multiscale environmental sensor networks, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Chinta, I. (2010). Model Fusion for Improving Hypoxia Forecasts in Corpus Christi Bay, TX, USA: A Study of Boosting and Historical Scenario Modeling., M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Collier, A. (2008). Real-Time Environmental Visualization for Diverse User Communities., M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Coopersmith, E. (2008). Understanding and Forecasting Hypoxia using Machine Learning Algorithmns., M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Hill, D. (2007). Data Mining Approaches to Complex Environmental Problems., Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Singh, A. (2007). An Interactive Multi-objective Framework for Groundwater Inverse Modeling., Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Babbar, M. (2006). Interactive Genetic Algorithms for Adaptive Decision Making in Groundwater Monitoring Design., Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Yan, S. (2006). Optimizing Groundwater Remediation Designs using Dynamic Meta-models and Genetic Algorithms., Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Bhagwat, A. (2005). Preliminary Cyberinfrastructure Needs Assessment and Technology Review for CLEANER (Collaborative Large-scale Engineering Analysis Network for Environmental Research), M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Hayes, M. (2005). Evaluation of Advanced Genetic Algorithms Applied to Groundwater Remediation Design, M.S. Thesis, University of Illinois at Urbana-Champaign .
  • Farrell, D. (2004). Data Mining to Improve Management and Reduce Costs Associated with Environmental Remediation, M.S. Thesis, University of Illinois at Urbana-Champaign .
  • Sinha, E. (2004). Multiscale Island Injection Genetic Algorithms for Groundwater Remediation, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Zavislak, M. (2004). Constraint Handling in Groundwater Remediation Design with Genetic Algorithms, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Espinoza, F. (2004). A Self-Adaptive Hybrid Genetic Algorithm For Optimal Groundwater Remediation Design, Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Ren, X. (2003). Which Groundwater Remediation Objective Is Better, A Realistic One Or A Simple One?, M.S. Thesis, University of Illinois at Urbana-Champaign .
  • Singh, A. (2003). Uncertainty Based Multi-Objective Optimization Of Groundwater Remediation Design, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Arst, R. (2002). Which are Better, Probabalistic Model-Building Genetic Algorithms (PMBGAs) or Simple Genetic Algorithms (SGAs)? A Comparison for an Optimal Groundwater Remediation Design Problem , M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Babbar, M. (2002). Multiscale Parallel Genetic Algorithms for Optimal Groundwater Remediation Design, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Hill, D. (2002). Modeling nitrogen transport and transformation in a heterogeneous, three-dimensional, tile-drained aquifer., M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Michael, W. (2002). Integrating Data Sources to Improve Long-Term Monitoring and Management: A Hierarchical Machine Learning Approach, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Reed, P. (2002). Striking the Balance: Long-Term Groundwater Monitoring Design for Multiple Conflicting Objectives, Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Gopalakrishnan, G. (2001). Optimal Sampling in a Noisy Genetic Algorithm for Risk-Based Remediation Design, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Liu, Y. (2001). Multiscale Approach to Optimal Control of In-Situ Bioremediation of Groundwater, Ph.D. Thesis, University of Illinois at Urbana-Champaign.
  • Reed, P. (1999). Cost Effective Long-term Groundwater Monitoring Design using a Genetic Algorithm and Global Mass Interpolation, M.S. Thesis, University of Illinois at Urbana-Champaign.
  • Kosegi, J. (1998). Thermally Enhancing In-Situ Bioremediation of DNAPLs: A Feasibility Study, M.S. Thesis, University of Illinois at Urbana-Champaign. .
  • Smalley, J. (1998). Risk-Based In Situ Bioremediation Design, M.S. Thesis, University of Illinois at Urbana-Champaign.