Applied research and industry projects in machine learning, optimization, and data science, spanning maritime transport, energy, health, and public policy.

Green Navigation: Weather-Optimized Shipping Routes

Green Navigation: Weather-Optimized Shipping Routes

Maritime · 2022

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

NeoCam: Neonatal Monitoring with Edge AI

Health · 2021

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

Modeling the Effectiveness of COVID-19 Restrictions

Epidemiology · 2020

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

Tun-AI: Machine Learning for Tuna Biomass Estimation

Maritime · 2019

ML system that estimates tuna biomass from echosounder buoy and oceanographic data, deployed commercially for over 1500 fishing vessels.

Non-Intrusive Load Monitoring

Non-Intrusive Load Monitoring

Energy · 2019

Data-driven methods for appliance-level electricity monitoring from smart-meter signals, developed during PhD research at UCA Datalab.