Emily Berglund Alghamdi, F. M., Edwards, E. C., & Berglund, E. Z. (2024). Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data. WATER RESOURCES RESEARCH, 60(9). https://doi.org/10.1029/2023WR035246 Giang, A., Edwards, M. R., Fletcher, S. M., Frolick, R. G.-, Gryba, R., Mathias, J.-D., … Tessum, C. W. (2024). Equity and modeling in sustainability science: Examples and opportunities throughout the process. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 121(13). https://doi.org/10.1073/pnas.2215688121 Koyama, Y., Fasaee, M. A. K., Berglund, E. Z., & Knappe, D. R. U. (2024, September 13). Machine Learning Models to Predict Early Breakthrough of Recalcitrant Organic Micropollutants in Granular Activated Carbon Adsorbers. ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol. 9. https://doi.org/10.1021/acs.est.4c01316 Pesantez, J. E., Vizanko, B., & Berglund, E. Z. (2024). Modeling a game to shift peak water demands: WaterTime leaderboard. JOURNAL OF CLEANER PRODUCTION, 470. https://doi.org/10.1016/j.jclepro.2024.143241 Vizanko, B., Kadinski, L., Cummings, C., Ostfeld, A., & Berglund, E. Z. (2024, March 14). Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory. RISK ANALYSIS, Vol. 3. https://doi.org/10.1111/risa.14287 Vizanko, B., Kadinski, L., Ostfeld, A., & Berglund, E. Z. (2024). Social distancing, water demand changes, and quality of drinking water during the COVID-19 pandemic. SUSTAINABLE CITIES AND SOCIETY, 102. https://doi.org/10.1016/j.scs.2024.105210 Berglund, E. Z., Skarbek, M., & Kanta, L. (2023). A sociotechnical framework to characterize tipping points in water supply systems. SUSTAINABLE CITIES AND SOCIETY, 97. https://doi.org/10.1016/j.scs.2023.104739 Bolton, E. R., & Berglund, E. Z. (2023). Agent-based modeling to assess decentralized water systems: Micro-trading rainwater for aquifer recharge. JOURNAL OF HYDROLOGY, 618. https://doi.org/10.1016/j.jhydrol.2023.129151 DiCarlo, M., Berglund, E. Z., Kaza, N., Grieshop, A., Shealy, L., & Behr, A. (2023). Customer complaint management and smart technology adoption by community water systems. UTILITIES POLICY, 80. https://doi.org/10.1016/j.jup.2022.101465 Berglund, E. Z., Shafiee, M. E., Xing, L., & Wen, J. (2023). Digital Twins for Water Distribution Systems. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 149(3). https://doi.org/10.1061/JWRMD5.WRENG-5786 Kadinski, L., Salcedo, C., Boccelli, D. L., Berglund, E., & Ostfeld, A. (2022). A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19. WATER, 14(7). https://doi.org/10.3390/w14071088 Daniel, I., Pesantez, J., Letzgus, S., Fasaee, M. A. K., Alghamdi, F., Berglund, E., … Cominola, A. (2022). A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(6). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001535 Kadinski, L., Berglund, E., & Ostfeld, A. (2022). An Agent-Based Model for Contamination Response in Water Distribution Systems during the COVID-19 Pandemic. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(8). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001576 Grant, S. B., Rippy, M. A., Birkland, T. A., Schenk, T., Rowles, K., Misra, S., … Zhong, Y. (2022, September 14). Can Common Pool Resource Theory Catalyze Stakeholder-Driven Solutions to the Freshwater Salinization Syndrome? ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol. 9. https://doi.org/10.1021/acs.est.2c01555 Fasaee, M. A. K., Pesantez, J., Pieper, K. J., Ling, E., Benham, B., Edwards, M., & Berglund, E. (2022). Developing early warning systems to predict water lead levels in tap water for private systems. WATER RESEARCH, 221. https://doi.org/10.1016/j.watres.2022.118787 Behr, A., Berglund, E., & Sciaudone, E. (2022). Effectiveness of indicators for assessing the vulnerability of barrier island highways. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 105. https://doi.org/10.1016/j.trd.2022.103234 Berglund, E. Z., Buchberger, S., Cunha, M., Faust, K. M., Giacomoni, M., Goharian, E., … Yang, Y. C. E. (2022). Effects of the COVID-19 Pandemic on Water Utility Operations and Vulnerability. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(6). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001560 Pesantez, J. E., Alghamdi, F., Sabu, S., Mahinthakumar, G., & Berglund, E. Z. (2022). Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic. SUSTAINABLE CITIES AND SOCIETY, 77. https://doi.org/10.1016/j.scs.2021.103520 DiCarlo, M. F., & Berglund, E. Z. (2022). Using advanced metering infrastructure data to evaluate consumer compliance with water advisories during a water service interruption. WATER RESEARCH, 221. https://doi.org/10.1016/j.watres.2022.118802 Fasaee, M. A. K., Monghasemi, S., Nikoo, M. R., Shafiee, M. E., Berglund, E. Z., & Bakhtiari, P. H. (2021). A K-Sensor correlation-based evolutionary optimization algorithm to cluster contamination events and place sensors in water distribution systems. JOURNAL OF CLEANER PRODUCTION, 319. https://doi.org/10.1016/j.jclepro.2021.128763 DiCarlo, M. F., & Berglund, E. Z. (2021). Connected communities improve hazard response: An agent-based model of social media behaviors during hurricanes. SUSTAINABLE CITIES AND SOCIETY, 69. https://doi.org/10.1016/j.scs.2021.102836 Lee, J. M., Taylor, L. O., & Berglund, E. Z. (2021). Water Use in the Landscape: A Comparison of Water Quality and Irrigation Technologies on Behavior. WATER RESOURCES RESEARCH, 57(10). https://doi.org/10.1029/2020WR028853 Berglund, E. Z., Thelemaque, N., Spearing, L., Faust, K. M., Kaminsky, J., Sela, L., … Kadinski, L. (2021). Water and Wastewater Systems and Utilities: Challenges and Opportunities during the COVID-19 Pandemic. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 147(5). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001373 Monroe, J. G., Hansen, P., Sorell, M., & Berglund, E. Z. (2020). Agent-Based Model of a Blockchain Enabled Peer-to-Peer Energy Market: Application for a Neighborhood Trial in Perth, Australia. SMART CITIES, 3(3), 1072–1099. https://doi.org/10.3390/smartcities3030053 Fasaee, M. A. K., Berglund, E., Pieper, K. J., Ling, E., Benham, B., & Edwards, M. (2021). Developing a framework for classifying water lead levels at private drinking water systems: A Bayesian Belief Network approach. WATER RESEARCH, 189. https://doi.org/10.1016/j.watres.2020.116641 DiCarlo, M. F., & Berglund, E. Z. (2020). Use of Social Media to Seek and Provide Help in Hurricanes Florence and Michael. SMART CITIES, 3(4), 1187–1218. https://doi.org/10.3390/smartcities3040059 Monroe, J. G., Ducoste, J., & Berglund, E. Z. (2019). Genetic Algorithm–Genetic Programming Approach to Identify Hierarchical Models for Ultraviolet Disinfection Reactors. Journal of Environmental Engineering, 145(2), 04018139. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001492 Pesantez, J. E., Berglund, E. Z., & Mahinthakumar, G. (2019). Multiphase Procedure to Design District Metered Areas for Water Distribution Networks. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 145(8). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001095 Strickling, H., DiCarlo, M. F., Shafiee, M. E., & Berglund, E. (2020). Simulation of containment and wireless emergency alerts within targeted pressure zones for water contamination management. Sustainable Cities and Society, 52, 101820. https://doi.org/10.1016/j.scs.2019.101820 Monroe, J., Ramsey, E., & Berglund, E. (2018). Allocating countermeasures to defend water distribution systems against terrorist attack. Reliability Engineering & System Safety, 179, 37–51. https://doi.org/10.1016/j.ress.2018.02.014 Shafiee, M. E., Berglund, E. Z., & Lindell, M. K. (2018). An Agent-based Modeling Framework for Assessing the Public Health Protection of Water Advisories. Water Resources Management, 32(6), 2033–2059. https://doi.org/10.1007/s11269-018-1916-6 Kandiah, V. K., Berglund, E. Z., & Binder, A. R. (2019). An agent-based modeling approach to project adoption of water reuse and evaluate expansion plans within a sociotechnical water infrastructure system. Sustainable Cities and Society, 46, 101412. https://doi.org/10.1016/j.scs.2018.12.040 Garcia-Cuerva, L., Berglund, E. Z., & Rivers, L., III. (2018). An integrated approach to place Green Infrastructure strategies in marginalized communities and evaluate stormwater mitigation. Journal of Hydrology, 559, 648–660. https://doi.org/10.1016/j.jhydrol.2018.02.066 Al-Amin, S., Berglund, E. Z., Mahinthakumar, G., & Larson, K. L. (2018). Assessing the effects of water restrictions on socio-hydrologic resilience for shared groundwater systems. Journal of Hydrology, 566, 872–885. https://doi.org/10.1016/j.jhydrol.2018.08.045 Raei, E., Shafiee, M. E., Nikoo, M. R., & Berglund, E. (2018). Placing an ensemble of pressure sensors for leak detection in water distribution networks under measurement uncertainty. Journal of Hydroinformatics, 21(2), 223–239. https://doi.org/10.2166/hydro.2018.032 Al-Amin, S., Ajmeri, N., Du, H., Berglund, E. Z., & Singh, M. P. (2018). Toward effective adoption of secure software development practices. SIMULATION MODELLING PRACTICE AND THEORY, 85, 33–46. https://doi.org/10.1016/j.simpat.2018.03.006 Ali, A. M., Shafiee, M. E., & Berglund, E. Z. (2017). Agent-based modeling to simulate the dynamics of urban water supply: Climate, population growth, and water shortages. Sustainable Cities and Society, 28, 420–434. https://doi.org/10.1016/j.scs.2016.10.001 Shafiee, M. E., & Berglund, E. Z. (2017). Agent-based modelling approach to evaluate the effect of collaboration among scientists in scientific workflows. Journal of Simulation, 13(1), 1–13. https://doi.org/10.1080/17477778.2017.1387333 Kandiah, V., Binder, A. R., & Berglund, E. Z. (2017). An Empirical Agent-Based Model to Simulate the Adoption of Water Reuse Using the Social Amplification of Risk Framework. Risk Analysis, 37(10), 2005–2022. https://doi.org/10.1111/risa.12760 Shafiee, M. E., & Berglund, E. Z. (2017). Complex Adaptive Systems Framework to Simulate the Performance of Hydrant Flushing Rules and Broadcasts during a Water Distribution System Contamination Event. Journal of Water Resources Planning and Management, 143(4), 04017001. https://doi.org/10.1061/(asce)wr.1943-5452.0000744 Al-Amin, S., & Berglund, E. Z. (2017). Optimization framework to identify demand reduction strategies for shared groundwater resources. World Environmental and Water Resources Congress 2017: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management, 669–676. https://doi.org/10.1061/9780784480601.056 Sankarasubramanian, A., Sabo, J. L., Larson, K. L., Seo, S. B., Sinha, T., Bhowmik, R., … Kominoski, J. (2017). Synthesis of public water supply use in the United States: Spatio‐temporal patterns and socio‐economic controls. Earth's Future, 5(7), 771–788. https://doi.org/10.1002/2016ef000511 Ramsey, E., Berglund, E., & Goyal, R. (2017). The Impact of Demographic Factors, Beliefs, and Social Influences on Residential Water Consumption and Implications for Non-Price Policies in Urban India. Water, 9(11), 844. https://doi.org/10.3390/w9110844 Shafiee, M. E., & Berglund, E. Z. (2016). Agent-based modeling and evolutionary computation for disseminating public advisories about hazardous material emergencies. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 57, 12–25. https://doi.org/10.1016/j.compenvurbsys.2016.01.001 Kandiah, V. K., Berglund, E. Z., & Binder, A. R. (2016). Cellular Automata Modeling Framework for Urban Water Reuse Planning and Management. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 142(12). https://doi.org/10.1061/(asce)wr.1943-5452.0000696 Al-Amin, S., Berglund, E. Z., & Mahinthakumar, K. (2016). Coupling agent-based and groundwater modeling to explore demand management strategies for shared resources. World Environmental and Water Resources Congress 2016: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management, 141–150. https://doi.org/10.1061/9780784479858.016 Garcia-Cuerva, L., Berglund, E. Z., & Rivers, L. (2016). Exploring Strategies for LID Implementation in Marginalized Communities and Urbanizing Watersheds. World Environmental And Water Resources Congress 2016: Water, Wastewater, and Stormwater and Urban Watershed Symposium - Papers from Sessions of the Proceedings of the 2016 World Environmental and Water Resources Congress, 41–50. https://doi.org/10.1061/9780784479889.005 Shafiee, M. E., Berglund, A., Berglund, E. Z., Brill, E. D., Jr., & Mahinthakumar, G. (2016). Parallel Evolutionary Algorithm for Designing Water Distribution Networks to Minimize Background Leakage. Journal of Water Resources Planning and Management, 142(5). https://doi.org/10.1061/(asce)wr.1943-5452.0000601 Garcia-Cuerva, L., Berglund, E. Z., & Binder, A. R. (2016). Public perceptions of water shortages, conservation behaviors, and support for water reuse in the US. RESOURCES CONSERVATION AND RECYCLING, 113, 106–115. https://doi.org/10.1016/j.resconrec.2016.06.006 Barker, Z. A., Stillwell, A. S., & Berglund, E. Z. (2016). Scenario Analysis of Energy and Water Trade-Offs in the Expansion of a Dual Water System. Journal of Water Resources Planning and Management, 142(12), 05016012. https://doi.org/10.1061/(asce)wr.1943-5452.0000714 Al-Amin, S., Berglund, E. Z., & Larson, K. L. (2015). Agent-Based Modeling to Simulate Demand Management Strategies for Shared Groundwater Resources. World Environmental and Water Resources Congress 2015. Presented at the World Environmental and Water Resources Congress 2015. https://doi.org/10.1061/9780784479162.203 Giacomoni, M. H., & Berglund, E. Z. (2015). Complex Adaptive Modeling Framework for Evaluating Adaptive Demand Management for Urban Water Resources Sustainability. Journal of Water Resources Planning and Management, 141(11), 04015024. https://doi.org/10.1061/(asce)wr.1943-5452.0000543 Kanta, L., & Berglund, E. Z. (2015). Exploring Tradeoffs in Demand- Side and Supply- Side Management of Urban Water Resources Using Agent- Based Modeling and Evolutionary Computation. SYSTEMS, 3(4), 287–308. https://doi.org/10.3390/systems3040287 Garcia-Cuerva, L., Schmidt, M., Berglund, E. Z., & Binder, A. R. (2015). Results of a National Survey about the Public Acceptability of Reclaimed Water. World Environmental and Water Resources Congress 2015. Presented at the World Environmental and Water Resources Congress 2015. https://doi.org/10.1061/9780784479162.121 Berglund, E. Z. (2015). Using Agent-Based Modeling for Water Resources Planning and Management. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 141(11). https://doi.org/10.1061/(asce)wr.1943-5452.0000544 Ali, A. M., Shafiee, M. E., Berglund, E. Z., & Arumugam, S. (2014). An Agent-Based Modeling Approach to Simulate the Dynamics of Water Supply and Water Demand. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.179 Scott, T. J., Politte, A., Saathoff, S., Collard, S., Berglund, E., Barbour, J., & Sprintson, A. (2014). An evaluation of the Stormwater Footprint Calculator and the Hydrological Footprint Residence for communicating about sustainability in stormwater management. Sustainability: Science, Practice and Policy, 10(2), 14–27. https://doi.org/10.1080/15487733.2014.11908129 Marchi, A., Salomons, E., Ostfeld, A., Kapelan, Z., Simpson, A. R., Zecchin, A. C., … Asadzadeh, M. (2014). Battle of the Water Networks II. Journal of Water Resources Planning and Management, 140(7), 04014009. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000378 Al-Amin, S., Berglund, E. Z., & Larson, K. L. (2014). Complex Adaptive System Framework to Simulate Adaptations of Human-Environmental Systems to Climate Change and Urbanization: The Verde River Basin. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.181 Kandiah, V. K., Berglund, E. Z., & Binder, A. R. (2014). Empirical Acceptance-Resistance Agent-Based Modeling Approach for Simulating the Adoption of Water Reuse. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.183 Shafiee, M. E., Berglund, A., Berglund, E. Z., Brill, E. D., Jr., & Mahinthakumar, G. (2014). Evolutionary Computation-based Decision-making Framework for Designing Water Networks to Minimize Background Leakage. Procedia Engineering, 89, 118–125. https://doi.org/10.1016/J.PROENG.2014.11.167 Giacomoni, M. H., Gomez, R., & Berglund, E. Z. (2014). Hydrologic Impact Assessment of Land Cover Change and Stormwater Management Using the Hydrologic Footprint Residence. JAWRA Journal of the American Water Resources Association, 50(5), 1242–1256. https://doi.org/10.1111/jawr.12187 Ali, A. M., Kandiah, V., & Berglund, E. Z. (2014). Multiobjective Optimization to Explore Tradeoffs in Rainwater Harvesting Strategies for Urban Water Sustainability. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.180 Shafiee, M. E., & Berglund, E. Z. (2015). Real-Time Guidance for Hydrant Flushing Using Sensor-Hydrant Decision Trees. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 141(6). https://doi.org/10.1061/(asce)wr.1943-5452.0000475 Schmidt, M., Berglund, E. Z., & Binder, A. (2014). Tradeoffs in Public Acceptance and Water Savings in Using Reclaimed Water for Irrigation Applications. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.051 Lord, B., Zechman, E., & Arumugam, S. (2013). A Complex Adaptive System Approach Assessing the Dynamics of Population Growth, Land Use, and Climate Change for Urban Water Resources Management. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013, Cincinnati, Ohio. https://doi.org/10.1061/9780784412947.281 Kanta, L., & Zechman, E. M. (2013). A Mechanistic-Stochastic Approach to Classify Water Consumers and Simulate Urban Water Demand. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013, Cincinnati, Ohio. https://doi.org/10.1061/9780784412947.224 Kandiah, V. K., Zechman, E. M., & Binder, A. R. (2013). An Agent-based Modeling Approach to Simulate the Influence of Consumer Behavior on Infrastructure Performance for Urban Water Reclamation Management. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013, Cincinnati, Ohio. https://doi.org/10.1061/9780784412947.226 Shafiee, M. E., & Zechman, E. M. (2013). An agent-based modeling framework for sociotechnical simulation of water distribution contamination events. Journal of Hydroinformatics, 15(3), 862–880. https://doi.org/10.2166/hydro.2013.158 Zechman, E. M., Giacomoni, M. H., & Shafiee, M. E. (2013). An evolutionary algorithm approach to generate distinct sets of non-dominated solutions for wicked problems. Engineering Applications of Artificial Intelligence, 26(5-6), 1442–1457. https://doi.org/10.1016/j.engappai.2013.03.004 Shafiee, M. E., Kandiah, V. K., Barrett, E., & Zechman, E. M. (2013). Applying Multi-objective Niching Co-evolutionary Algorithm to Generate Insight for Water Resources Management Problems. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013, Cincinnati, Ohio. https://doi.org/10.1061/9780784412947.228 Giacomoni, M. H., Kanta, L., & Zechman, E. M. (2013). Complex Adaptive Systems Approach to Simulate the Sustainability of Water Resources and Urbanization. Journal of Water Resources Planning and Management, 139(5), 554–564. https://doi.org/10.1061/(asce)wr.1943-5452.0000302 Kanta, L., & Zechman, E. (2014). Complex Adaptive Systems Framework to Assess Supply-Side and Demand-Side Management for Urban Water Resources. Journal of Water Resources Planning and Management, 140(1), 75–85. https://doi.org/10.1061/(asce)wr.1943-5452.0000301 Shafiee, M. E., & Zechman, E. M. (2013). Integrating Genetic Programming and Agent-based Modeling to Identify Sensor-based Rules for Flushing Contaminated Water from a Pipe Network. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013, Cincinnati, Ohio. https://doi.org/10.1061/9780784412947.075 Zechman, E. M. (2013). Integrating evolution strategies and genetic algorithms with agent-based modeling for flushing a contaminated water distribution system. Journal of Hydroinformatics, 15(3), 798–812. https://doi.org/10.2166/hydro.2013.102 Suresh, M. A., Stoleru, R., Zechman, E. M., & Shihada, B. (2013). On Event Detection and Localization in Acyclic Flow Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(3), 708–723. https://doi.org/10.1109/tsmca.2012.2210411 Damodaram, C., & Zechman, E. M. (2013). Simulation-Optimization Approach to Design Low Impact Development for Managing Peak Flow Alterations in Urbanizing Watersheds. Journal of Water Resources Planning and Management, 139(3), 290–298. https://doi.org/10.1061/(asce)wr.1943-5452.0000251 Rasekh, A., Shafiee, M. E., Zechman, E., & Brumbelow, K. (2014). Sociotechnical risk assessment for water distribution system contamination threats. Journal of Hydroinformatics, 16(3), 531–549. https://doi.org/10.2166/hydro.2013.023 Kandiah, V. K., & Zechman, E. M. (2012). Agent-Based Modeling for Simulating the Decentralization of Urban Water Infrastructure Systems. World Environmental and Water Resources Congress 2012. Presented at the World Environmental And Water Resources Congress 2012, Albuquerque, New Mexico. https://doi.org/10.1061/9780784412312.223 Liu, L., Zechman, E. M., Mahinthakumar, G., & Ranji Ranjithan, S. (2012). Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source. Engineering Applications of Artificial Intelligence, 25(2), 309–316. https://doi.org/10.1016/j.engappai.2011.10.009 Mirghani, B. Y., Zechman, E. M., Ranjithan, R. S., & Mahinthakumar, G. (K. (2012). Enhanced Simulation-Optimization Approach Using Surrogate Modeling for Solving Inverse Problems. Environmental Forensics, 13(4), 348–363. https://doi.org/10.1080/15275922.2012.702333 Kanta, L., & Zechman, E. M. (2012). Exploring Adaptive Demand-Side and Supply-Side Management of Urban Water Resources Using a Multi-Objective Optimization Approach. World Environmental and Water Resources Congress 2012. Presented at the World Environmental And Water Resources Congress 2012, Albuquerque, New Mexico. https://doi.org/10.1061/9780784412312.232 Liu, L., Zechman, E. M., Mahinthakumar, G., & Ranji Ranjithan, S. (2012). Identifying contaminant sources for water distribution systems using a hybrid method. Civil Engineering and Environmental Systems, 29(2), 123–136. https://doi.org/10.1080/10286608.2012.663360 Shafiee, M. E., & Zechman, E. M. (2012). Sociotechnical Simulation for Evaluating Adaptive Threat Response Actions for Water Distribution Contamination Events. World Environmental and Water Resources Congress 2012. Presented at the World Environmental And Water Resources Congress 2012, Albuquerque, New Mexico. https://doi.org/10.1061/9780784412312.330 Agumbe Suresh, M., Stoleru, R., Denton, R., Zechman, E., & Shihada, B. (2012). Towards Optimal Event Detection and Localization in Acyclic Flow Networks. In L. Bononi, A. K. Datta, S. Devismes, & A. Misra (Eds.), Distributed Computing and Networking: ICDCN 2012 (pp. 179–196). https://doi.org/10.1007/978-3-642-25959-3_13 Drake, K., & Zechman, E. M. (2012). Using Consumer Complaints to Characterize Contamination Events in a Water Distribution System. World Environmental and Water Resources Congress 2012. Presented at the World Environmental And Water Resources Congress 2012, Albuquerque, New Mexico. https://doi.org/10.1061/9780784412312.332 Kanta, L., & Zechman, E. M. (2011). A Complex Adaptive Systems Approach to Develop Basin-Scale Optimal Management Strategies for Water Resources Systems. World Environmental and Water Resources Congress 2011. Presented at the World Environmental and Water Resources Congress 2011, Palm Springs, California. https://doi.org/10.1061/41173(414)296 Zechman, E. M. (2011). Agent-Based Modeling to Simulate Contamination Events and Evaluate Threat Management Strategies in Water Distribution Systems. Risk Analysis, 31(5), 758–772. https://doi.org/10.1111/j.1539-6924.2010.01564.x Shafiee, M., & Zechman, E. M. (2011). An Agent-Based Modeling Approach to Evaluate Protective Action Strategies in a Water Distribution Contamination Event. World Environmental and Water Resources Congress 2011. Presented at the World Environmental and Water Resources Congress 2011, Palm Springs, California. https://doi.org/10.1061/41173(414)30 Giacomoni, M. H., & Zechman, E. M. (2011). Assessing Sustainability of Integrated Urban Water Resources Systems through a Complex Adaptive Systems Approach. World Environmental and Water Resources Congress 2011. Presented at the World Environmental and Water Resources Congress 2011, Palm Springs, California. https://doi.org/10.1061/41173(414)297 Putha, R., Quadrifoglio, L., & Zechman, E. (2012). Comparing Ant Colony Optimization and Genetic Algorithm Approaches for Solving Traffic Signal Coordination under Oversaturation Conditions. Computer-Aided Civil and Infrastructure Engineering, 27(1), 14–28. https://doi.org/10.1111/j.1467-8667.2010.00715.x Giacomoni, M. H., Zechman, E. M., & Brumbelow, K. (2012). Hydrologic Footprint Residence: Environmentally Friendly Criteria for Best Management Practices. Journal of Hydrologic Engineering, 17(1), 99–108. https://doi.org/10.1061/(asce)he.1943-5584.0000407 Kanta, L., Zechman, E., & Brumbelow, K. (2012). Multiobjective Evolutionary Computation Approach for Redesigning Water Distribution Systems to Provide Fire Flows. Journal of Water Resources Planning and Management, 138(2), 144–152. https://doi.org/10.1061/(asce)wr.1943-5452.0000156 Manian, D., Kaihatu, J. M., & Zechman, E. M. (2012). Using Genetic Algorithms to Optimize Bathymetric Sampling for Predictive Model Input. Journal of Atmospheric and Oceanic Technology, 29(3), 464–477. https://doi.org/10.1175/jtech-d-11-00051.1 Drake, K., & Zechman, E. (2011). Using Niched Co-Evolution Strategies to Address Non-Uniqueness in Characterizing Sources of Contamination in a Water Distribution System. World Environmental and Water Resources Congress 2011. Presented at the World Environmental and Water Resources Congress 2011, Palm Springs, California. https://doi.org/10.1061/41173(414)35 Scott, T. J., White, A., Politte, A., Damodaram, C., Baltensperger, A., Collard, S., … Sprintson, A. (2011). Using the Hydrologic Footprint Residence for Raising Awareness of Stormwater Sustainability. World Environmental and Water Resources Congress 2011. Presented at the World Environmental and Water Resources Congress 2011, Palm Springs, California. https://doi.org/10.1061/41173(414)336 Giacomoni, M. H., & Zechman, E. M. (2010). A Complex Adaptive Systems Approach to Simulate Urban Water Resources Sustainability. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010, Providence, Rhode Island. https://doi.org/10.1061/41114(371)262 Shafiee, M., & Zechman, E. M. (2010). An Agent-Based Modeling Approach for Simulating Contamination Events Applied to the Mesopolis Water Distribution System. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010, Providence, Rhode Island. https://doi.org/10.1061/41114(371)441 Kanta, L., & Zechman, E. M. (2010). An Agent-Based Modeling Approach to Evaluate the Impact of Conservation Practices on Water Resources Sustainability. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010, Providence, Rhode Island. https://doi.org/10.1061/41114(371)432 Booker, G., Sprintson, A., Zechman, E., Singh, C., & Guikema, S. (2010). Efficient traffic loss evaluation for transport backbone networks. Computer Networks, 54(10), 1683–1691. https://doi.org/10.1016/j.comnet.2010.01.008 Damodaram, C., & Zechman, E. M. (2010). Optimizing the Placement of Low Impact Development in an Urban Watershed. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010, Providence, Rhode Island. https://doi.org/10.1061/41114(371)320 Damodaram, C., Giacomoni, M. H., Prakash Khedun, C., Holmes, H., Ryan, A., Saour, W., & Zechman, E. M. (2010). Simulation of Combined Best Management Practices and Low Impact Development for Sustainable Stormwater Management. JAWRA Journal of the American Water Resources Association, 46(5), 907–918. https://doi.org/10.1111/j.1752-1688.2010.00462.x Damodaram, C., Giacomoni, M. H., & Zechman, E. M. (2010). Using the Hydrologic Footprint Residence to Evaluate Low Impact Development in Urban Areas. Low Impact Development 2010. Presented at the Low Impact Development International Conference (LID) 2010, San Francisco, California. https://doi.org/10.1061/41099(367)148 Rasekh, A., Brumbelow, K., & Zechman, E. M. (2010). WDS Vulnerability Analysis: Focusing on Random Factors, Consumer Behavior, and System Dynamics in Contamination Events. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010, Providence, Rhode Island. https://doi.org/10.1061/41114(371)443 Kanta, L., Brumbelow, K., & Zechman, E. (2009). A Multi-Objective Evolutionary Computation Approach to Hazards Mitigation Design for Water Distribution Systems. World Environmental and Water Resources Congress 2009. Presented at the World Environmental and Water Resources Congress 2009. https://doi.org/10.1061/41036(342)43 Jin, X., Mahinthakumar, G. (K., Zechman, E. M., & Ranjithan, R. S. (2009). A genetic algorithm-based procedure for 3D source identification at the Borden emplacement site. Journal of Hydroinformatics, 11(1), 51–64. https://doi.org/10.2166/hydro.2009.002 Mirghani, B. Y., Mahinthakumar, K. G., Tryby, M. E., Ranjithan, R. S., & Zechman, E. M. (2009). A parallel evolutionary strategy based simulation–optimization approach for solving groundwater source identification problems. Advances in Water Resources, 32(9), 1373–1385. https://doi.org/10.1016/j.advwatres.2009.06.001 Zechman, E. M., & Ranjithan, S. R. (2009). Evolutionary Computation-Based Methods for Characterizing Contaminant Sources in a Water Distribution System. Journal of Water Resources Planning and Management, 135(5), 334–343. https://doi.org/10.1061/(asce)0733-9496(2009)135:5(334) Giacomoni, M. H., & Zechman, E. M. (2009). Hydrologic Footprint Residence: A New Metric to Assess Hydrological Alterations Due to Urbanization. World Environmental and Water Resources Congress 2009. Presented at the World Environmental and Water Resources Congress 2009. https://doi.org/10.1061/41036(342)119 Khedun, P., Damodaram, C., Giacomoni, M., Ryan, A., Holmes, H., Klein, R., … Stoleru, R. (2009). Improving Hydrologic Sustainability of Texas A&M University Campus. World Environmental and Water Resources Congress 2009. Presented at the World Environmental and Water Resources Congress 2009. https://doi.org/10.1061/41036(342)122 Reichold, L., Zechman, E. M., Brill, E. D., & Holmes, H. (2010). Simulation-Optimization Framework to Support Sustainable Watershed Development by Mimicking the Predevelopment Flow Regime. Journal of Water Resources Planning and Management, 136(3), 366–375. https://doi.org/10.1061/(asce)wr.1943-5452.0000040 Nicklow, J., Reed, P., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, 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, 136(4), 412–432. https://doi.org/10.1061/(asce)wr.1943-5452.0000053 Liu, L., Zechman, E. M., Brill, Jr., E. D., Mahinthakumar, G., Ranjithan, S., & Uber, J. (2008). Adaptive Contamination Source Identification in Water Distribution Systems Using an Evolutionary Algorithm-based Dynamic Optimization Procedure. Water Distribution Systems Analysis Symposium 2006. Presented at the Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). https://doi.org/10.1061/40941(247)123 Zechman, E. M., Brill, Jr., E. D., Mahinthakumar, G., Ranjithan, S., & Uber, J. (2008). Addressing Non-uniqueness in a Water Distribution Contaminant Source Identification Problem. Water Distribution Systems Analysis Symposium 2006. Presented at the Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). https://doi.org/10.1061/40941(247)126 Zechman, E. M. (2008). An Agent-Based Simulation-Optimization Approach to Identify Threat Management Strategies for Water Distribution Systems. World Environmental and Water Resources Congress 2008. Presented at the World Environmental and Water Resources Congress 2008. https://doi.org/10.1061/40976(316)506 Zechman, E. M. (2007). Agent-Based Modeling to Simulate Contamination Events and to Analyze Threat Management Strategies in Water Distribution Systems. World Environmental and Water Resources Congress 2007. Presented at the World Environmental and Water Resources Congress 2007. https://doi.org/10.1061/40927(243)525 Liu, L., Brill, Jr., E. D., Mahinthakumar, G., Uber, J., Zechman, E. M., & Ranjithan, S. (2007). Considering Demand Variability and Measurement Uncertainties in Adaptive Source Characterization in Water Distribution Networks. World Environmental and Water Resources Congress 2007. Presented at the World Environmental and Water Resources Congress 2007. https://doi.org/10.1061/40927(243)502 Sreepathi, S., Mahinthakumar, K., Zechman, E., Ranjithan, R., Brill, D., Ma, X., & von Laszewski, G. (2007). Cyberinfrastructure for Contamination Source Characterization in Water Distribution Systems. In Y. Shi, G. D. van Albada, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2007 (pp. 1058–1065). https://doi.org/10.1007/978-3-540-72584-8_139 Kumar, J., Zechman, E. M., Brill, E. D., Mahinthakumar, G., Ranjithan, S., & Uber, J. (2007). Evaluation of Non-Uniqueness in Contaminant Source Characterization Based on Sensors with Event Detection Methods. World Environmental and Water Resources Congress 2007. Presented at the World Environmental and Water Resources Congress 2007. https://doi.org/10.1061/40927(243)513 Zechman, E. M., & Ranji Ranjithan, S. (2007). Evolutionary computation-based approach for model error correction and calibration. Advances in Water Resources, 30(5), 1360–1370. https://doi.org/10.1016/j.advwatres.2006.11.013 Zechman, E. M., & Ranjithan, R. S. (2007). Generating Alternatives Using Evolutionary Algorithms for Water Resources and Environmental Management Problems. Journal of Water Resources Planning and Management, 133(2), 156–165. https://doi.org/10.1061/(asce)0733-9496(2007)133:2(156) Raghavachar, K., Mahinthakumar, G., Worley, P., Zechman, E., & Ranjithan, R. (2007). Parallel Performance Modeling using a Genetic Programming-based Error Correction Procedure. SIMULATION, 83(7), 515–527. https://doi.org/10.1177/0037549707084691 Mahinthakumar, K., von Laszewski, G., Ranjithan, R., Brill, D., Uber, J., Harrison, K., … Zechman, E. (2006). An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems. In V. N. Alexandrov, G. D. Albada, P. M. A. Sloot, & J. Dongarra (Eds.), Computational Science – ICCS 2006 (pp. 401–408). https://doi.org/10.1007/11758532_54 Zechman, E. M., Mirghani, B., Clayton, M., Mahinthakumar, G., & Ranji Ranjithan, S. (2006). Use of Surrogate Models for a Groundwater Pollutant Source Characterization Problem. World Environmental and Water Resource Congress 2006. Presented at the World Environmental and Water Resources Congress 2006. https://doi.org/10.1061/40856(200)117 Zechman, E., Mirghani, B., Mahinthakumar, G., & Ranjithan, S. R. (2005). A Genetic Programming-Based Surrogate Model Development and Its Application to a Groundwater Source Identification Problem. Impacts of Global Climate Change. Presented at the World Water and Environmental Resources Congress 2005. https://doi.org/10.1061/40792(173)341 Zechman, E., Mahinthakumar, G., & Ranjithan, S. R. (2005). Investigation and Demonstration of an Evolutionary Computation-Based Model Correction Procedure for a Numerical Simulation Model. Impacts of Global Climate Change. Presented at the World Water and Environmental Resources Congress 2005. https://doi.org/10.1061/40792(173)346 Zechman, E. M., & Ranjithan, S. R. (2005). Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation. In H.-G. Beyer (Ed.), Genetic and Evolutionary Computation Conference : GECCO 2005, June 25-29, 2005 (Saturday-Wednesday) Washington, D.C., USA. https://doi.org/10.1145/1068009.1068286 Zechman, E. M., & Ranjithan, S. R. (2004). An evolutionary algorithm to generate alternatives (EAGA) for engineering optimization problems. Engineering Optimization, 36(5), 539–553. https://doi.org/10.1080/03052150410001704863 Ormsbee, L., Elshorbagy, A., & Zechman, E. (2004). Methodology for pH Total Maximum Daily Loads: Application to Beech Creek Watershed. Journal of Environmental Engineering, 130(2), 167–174. https://doi.org/10.1061/(asce)0733-9372(2004)130:2(167)