Applied research and industry projects in machine learning, optimization, and data science, spanning maritime transport, energy, health, public policy, and climate risk for insurance.
Climate Risk Modeling for Insurance
Climate-adjusted mortality modeling and dashboard development for insurance portfolios under future climate scenarios.
Green Navigation: Weather-Optimized Shipping Routes
Mathematical optimization of maritime shipping routes using real-time weather and ocean data; developed HADAD, an algorithm achieving up to 27% fuel savings in extreme weather.
NeoCam: Neonatal Monitoring with Edge AI
Edge-cloud platform for contactless real-time monitoring of premature infants in neonatal ICUs, second global prize in the OpenCV AI Competition 2021.
Modeling the Effectiveness of COVID-19 Restrictions
Statistical analysis quantifying how nine categories of non-pharmaceutical interventions affected SARS-CoV-2 transmission during the second wave in Spain.
Tun-AI: Machine Learning for Tuna Biomass Estimation
ML system that estimates tuna biomass from echosounder buoy and oceanographic data, deployed commercially for over 1500 fishing vessels.
Non-Intrusive Load Monitoring
Data-driven methods for appliance-level electricity monitoring from smart-meter signals, developed during PhD research at UCA Datalab.