Hana Long
Bio
Hana C. Long serves as research faculty in the Department of Civil, Construction, and Environmental Engineering and the Operations Research program, and as the Coordinator for Data and AI at Work for the Data Science and AI Academy. Her work bridges data science and machine learning, engineering and workforce development—focusing on how AI and data tools can strengthen infrastructure resilience, inform environmental decision-making, and impact engineering practice, ethics, and public health. Drawing on research experience in both academia and public-sector engineering, Dr. Long currently leads interdisciplinary projects on AI-augmented flood warning, water security, and how data and AI transform professional training in engineering and management.
Education
Ph.D. Operations Research/Civil Engineering NC State University 2023
M.S. Civil Engineering NC State University 2013
B.A. Mathematics/Russian Language Vanderbilt University 2008
Area(s) of Expertise
Sustainable and resilient water and wastewater infrastructure decision-making, Risk in environmental and civil systems, Data and AI for the engineering workplace, Ethics in data science and AI
Methodologies of Interest: Machine Learning, Optimization, Metaheuristics, Statistical models, Causal Inference, LLMs, Water and Wastewater Infrastructure Modeling, Spatial Analysis
Publications
- Water security in North Carolina’s most economically insecure county: a case study , Environmental Research Letters (2025)
- Shifting power: data democracy in engineering solutions , Environmental Research Letters (2024)
- Overcoming Modeling Barriers in Long-Term Interdependent Infrastructure Systems Planning , (2023)
- A Case Study for Investigating Elevated Hydrogen Sulfide within a Wastewater Treatment Plant , Water Environment Federation Odors and Air Pollutants Conference 2020 (2020)
- Modeling the resilience of critical infrastructure: the role of network dependencies , Sustainable and Resilient Infrastructure (2016)
- Response of Water Systems under Extreme Events: A Comprehensive Approach to Modeling Water System Resilience , World Environmental and Water Resources Congress 2016 (2016)
- Satisfying Multiple Priorities with a Diversity Preserving Evolutionary Algorithm , (2013)
- Phase Space Dissimilarity Measures for Structural Health Monitoring , (2011)