Juneseok Lee

Dr. Juneseok Lee is a Civil and Environmental Engineering Professor and Infrastructure Scientist whose work bridges resilient infrastructure, artificial intelligence, and mentoring the next generation of engineers. As the founder of the R.A.I.S.E. framework (Resilience, Artificial Intelligence, Infrastructure, Systems, and Education), his mission is to strengthen the resilience and sustainability of civil and environmental infrastructure systems through the responsible use of emerging technologies and lifelong learning.

While his technical foundation lies in drinking water systems and critical water infrastructure, Dr. Lee’s research and teaching have expanded to address broader societal needs, including sustainable urban systems, digital transformation in civil engineering, and engineering ethics and education.

His research has been supported by major institutions such as the National Science Foundation, U.S. Environmental Protection Agency, California Water Service Company, and Hewlett-Packard, reflecting both depth and practical relevance.

Dr. Lee has authored more than 130 publications, including peer-reviewed journal articles, book chapters, editorials, and technical reports. His work has earned multiple Best Paper Awards from the American Water Works Association (AWWA) and the American Society of Civil Engineers (ASCE), and he is a frequent speaker at national and international conferences on water, infrastructure, resilience, and sustainability.

He holds both M.S. and Ph.D. degrees in Civil and Environmental Engineering from Virginia Tech, is a licensed Professional Engineer (PE) in California, and is Board-Certified in Water Resources Engineering (BC.WRE). He currently serves as Associate Editor and Editorial Board Member for leading ASCE and AWWA journals and has held numerous leadership roles within ASCE and the Environmental & Water Resources Institute (EWRI).

A Fellow of both ASCE and EWRI, Dr. Lee received the 2021 EWRI Service to the Profession Award for outstanding leadership, mentorship, and service to the environmental and water resources engineering community.

Current work focuses on:

• AI for resilient and sustainable water and infrastructure systems
• Predictive and prescriptive analytics in civil engineering
• Education innovation and systems thinking for future-ready engineers