Philip H. Jones Award – Best Presentation by Young Water Professional (First Place)
Awarded at the CAWQ Atlantic Symposium for presenting resilient peak-flow strategies developed with the Valeo Research Group.
Research & Awards
Modelling cities that are resilient to climate volatility.
My research advances climate‑ready urban water systems by combining hydrological modeling, fuzzy information theory, and evidence‑based planning. I focus on building transparent, decision‑ready tools that quantify uncertainty and turn data into resilient drainage strategies for municipalities.
Research topics
- Stormwater management and hydrological modelling
- Low impact development (LID) assessment
- Fuzzy entropy and spatial data analytics
- Urban climate resilience planning
- Large language models for engineering decision support
Research summary
Cities face intensifying rainfall extremes and aging infrastructure. My work brings physically based hydrological models together with fuzzy‑entropy metrics to quantify model/data uncertainty and design flood‑mitigation strategies with LID under climate variability. I extract reliable signals from noisy, sparse observations and ground findings with field monitoring for decision‑ready evidence.
On the decision side, I build lightweight tools that convert complex analyses into clear choices for engineers and planners. I also pair domain models with large language models for documentation, parameter checks, and scenario exploration—always with experts in the loop.
Honors & Awards
Best Presentation Award
Recognized for an outstanding presentation on fuzzy entropy-driven peak flow modelling at the 14th ICEST conference.