I am a researcher at the intersection of Environmental Science, Coastal Engineering, and Computational Intelligence, building GeoAI & Explainable AI frameworks for complex environmental challenges.
My research portfolio includes:
- 🌊 Coastal Hydrodynamics & Tsunami Risk: Modeling wave-vegetation interactions and extreme event mitigation.
- 🌱 Nature-based Solutions (NbS): Evaluating ecological engineering strategies against climate extremes.
- 💧 Water Quality & HAB Forecasting: Predicting Chlorophyll-a & algal blooms using Remote Sensing (MODIS, Sentinel, Landsat) and hydro-meteorological data.
- 🌍 Land Subsidence & Geohazards: Using InSAR, hydro-climatic data, and Causal AI for context-aware early warning.
- ⚡ Renewable Energy Forecasting: Wave-energy flux prediction via physics-informed ML.
I emphasize Explainable & Causal AI: ensuring models are physically grounded, transparent, and risk-informed, combining data, physics, and ecology for a resilient, sustainable future.
🌱 Interests: Early Warning Systems, Climate Adaptation, Algorithmic Trading, Time-Series Forecasting.
Languages & Deep Learning:
Data Science & MLOps:
Geospatial & Analytics:
