Stergios Emmanouil is an assistant professor in the Department of Civil, Environmental and Construction Engineering at the University of Central Florida. His research focuses on developing tools to quantify uncertainty within environmental processes and engineered systems, advancing stochastic modeling of natural and anthropogenic hazards to assess risk and improve critical infrastructure resilience, as well as promoting engineering and environmental design under the influence of climate change.

From 2023 to 2025, he served as an assistant research professor at the University of Connecticut, where he led efforts on climate-informed risk assessment and grid resilience. His research involves close collaboration with stakeholders across government agencies, industry and local communities, to inform the development of adaptive strategies for critical infrastructure resilience. He has mentored both undergraduate and graduate students, many of whom have gone on to secure positions at both private and public organizations.

Emmanouil earned his doctoral degree in civil and environmental engineering from the University of Connecticut, where he was a member of the Eversource Energy Center. He holds a master's degree in hydraulic engineering from Delft University of Technology, specializing in hydraulic structures and flood risk, and a bachelor's degree in civil engineering from the University of Patras. He is a licensed professional civil engineer in Greece and has been a member of the Technical Chamber of Greece since 2017. Emmanouil currently serves as an associate editor for Stochastic Environmental Research and Risk Assessment, Water Resources Research, and the Journal of Hydrology, and actively reviews for leading journals in the fields of hydrology, civil engineering and risk modelling.

• Emmanouil, S. (2025) A parametric framework for evaluating power outage risk trends under changing climatic conditions, Stochastic Environmental Research and Risk Assessment, DOI: 1007/s00477-025-02937-x.


• Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2023) Exploring the future of rainfall extremes over CONUS: The effects of high emission climate change trajectories on the intensity and frequency of rare precipitation events, Earth’s Future, 11, e2022EF003039, DOI: 1029/2022EF003039.


• Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2022) The spatiotemporal evolution of rainfall extremes in a changing climate: A CONUS-wide assessment based on multifractal scaling arguments, Earth’s Future, 10(3), e2021EF002539, DOI: 1029/2021EF002539.


• Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2021) An ERA-5 Derived CONUS-Wide High-Resolution Precipitation Dataset Based on a Refined Parametric Statistical Downscaling Framework, Water Resources Research, 57(6), e2020WR029548, DOI: 1029/2020WR029548.


• Emmanouil, S., E.I. Nikolopoulos, B. François, C. Brown, and E.N. Anagnostou (2021) Evaluating existing water supply reservoirs as small-scale Pumped Hydroelectric Storage options – A case study in Connecticut, Energy, 226, 120354, DOI: 1016/j.energy.2021.120354.


• Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2020) Quantitative assessment of annual maxima, peaks-over-threshold (PoT) and multifractal parametric approaches in estimating intensity-duration-frequency (IDF) curves from short rainfall records, Journal of Hydrology, 589, 125151, DOI: 1016/j.jhydrol.2020.125151.