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.

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