Emily Berglund


  • Fitts-Woolard Hall 3169

Dr. Emily Zechman Berglund* joined the North Carolina State University Department of Civil, Construction, and Environmental Engineering in July 2011. She graduated with her B.S. and M.S. in Civil Engineering at the University of Kentucky. She is a proud graduate of North Carolina State University, where she earned her Ph.D. in 2005.

Dr. Berglund teaches undergraduate and graduate courses in water resources engineering, hydrology, and systems analysis for civil engineering. She received Best Research-Oriented Paper Awards in 2010 and 2011 for her publications in the ASCE Journal of Water Resources Planning and Management.

*Formerly, Emily Michelle Zechman


Ph.D. 2005

Civil Engineering

North Carolina State University


Civil Engineering

University of Kentucky


Civil Engineering

University of Kentucky

Research Description

Dr. Berglund's research interests are in the development of new computational methodologies to explore the influence of feedbacks among social and infrastructure systems. Her research creates new socio-technical models by integrating Complex Adaptive Systems modeling approaches with engineering models to simulate feedback mechanisms and adaptive behaviors among consumers, infrastructure, and environmental systems. New Evolutionary Algorithm-based approaches are coupled with socio-technical models to identify optimal adaptive strategies for managing sustainability, security, and resilience of complex infrastructure and water resources systems. Specifically, she is exploring the sustainability of urban water supply and protection of human health in water contamination incidents. Dr. Berglund specializes in water management; water reclamation and conservation; water security; complex adaptive systems; agent-based modeling; evolutionary computation; human behavior; and social dimensions.


Equity and modeling in sustainability science: Examples and opportunities throughout the process
Giang, A., Edwards, M. R., Fletcher, S. M., Frolick, R. G.-, Gryba, R., Mathias, J.-D., … Tessum, C. W. (2024), PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 121(13). https://doi.org/10.1073/pnas.2215688121
Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory
Vizanko, B., Kadinski, L., Cummings, C., Ostfeld, A., & Berglund, E. Z. (2024, March 14), RISK ANALYSIS, Vol. 3. https://doi.org/10.1111/risa.14287
Social distancing, water demand changes, and quality of drinking water during the COVID-19 pandemic
Vizanko, B., Kadinski, L., Ostfeld, A., & Berglund, E. Z. (2024), SUSTAINABLE CITIES AND SOCIETY, 102. https://doi.org/10.1016/j.scs.2024.105210
A sociotechnical framework to characterize tipping points in water supply systems
Berglund, E. Z., Skarbek, M., & Kanta, L. (2023), SUSTAINABLE CITIES AND SOCIETY, 97. https://doi.org/10.1016/j.scs.2023.104739
Agent-based modeling to assess decentralized water systems: Micro-trading rainwater for aquifer recharge
Bolton, E. R., & Berglund, E. Z. (2023), JOURNAL OF HYDROLOGY, 618. https://doi.org/10.1016/j.jhydrol.2023.129151
Customer complaint management and smart technology adoption by community water systems
DiCarlo, M., Berglund, E. Z., Kaza, N., Grieshop, A., Shealy, L., & Behr, A. (2023), UTILITIES POLICY, 80. https://doi.org/10.1016/j.jup.2022.101465
Digital Twins for Water Distribution Systems
Berglund, E. Z., Shafiee, M. E., Xing, L., & Wen, J. (2023), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 149(3). https://doi.org/10.1061/JWRMD5.WRENG-5786
A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19
Kadinski, L., Salcedo, C., Boccelli, D. L., Berglund, E., & Ostfeld, A. (2022), WATER, 14(7). https://doi.org/10.3390/w14071088
A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks
Daniel, I., Pesantez, J., Letzgus, S., Fasaee, M. A. K., Alghamdi, F., Berglund, E., … Cominola, A. (2022), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(6). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001535
An Agent-Based Model for Contamination Response in Water Distribution Systems during the COVID-19 Pandemic
Kadinski, L., Berglund, E., & Ostfeld, A. (2022), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(8). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001576

View all publications via NC State Libraries


Water Distribution Systems Management Under COVID-X
US-Israel Binational Science Foundation(10/01/21 - 9/30/25)
Designing Model Protocols to Assess Impacts to Receiving Waters that have Low Dissolved Oxygen
NC Department of Environmental Quality (DEQ)(8/01/23 - 7/31/25)
A Citizen Science Internship Program to Quantify Racial and Economic Disparities in Lead Levels in Drinking Water Across North Carolina
NCSU Water Resources Research Institute(9/01/21 - 8/31/23)
A Citizen Science Internship Program to Quantify Racial and Economic Disparities in Lead Levels in Drinking Water Across North Carolina
NCSU Water Resources Research Institute(9/01/21 - 8/31/23)
Untapping the Crowd: Consumer Detection and Control of Lead in Drinking Water
US Environmental Protection Agency (EPA)(4/01/18 - 3/31/23)
A Sustainable Center for Crowd-Sourced Water Infrastructure Modeling
US Environmental Protection Agency (EPA)(9/01/16 - 8/31/21)
Modeling Approaches for Predicting Water Lead Risks in Underserved Communities
Spring Point Partners, LLC(8/29/17 - 12/31/18)
WSC - Category 3: Collaborative Research: Water Sustainability under Near-term Climate Change : A Cross-Regional Analysis Incorporating Socio-Ecological Feedbacks and Adaptations
National Science Foundation (NSF)(9/01/12 - 8/31/18)
LAS D05 Berglund Task 5.5 Advanced Concepts
Laboratory for Analytic Sciences(3/24/15 - 12/31/15)
A Research Network on Water Solutions (ReNeWS): the U.S. Southeast and Beyond
NCSU Research and Innovation Seed Funding Program(1/01/15 - 12/31/15)