Published:
Tun-AI is a Machine Learning model aimed at predicting tuna biomass under a given buoy, using echo-sounder and oceanography data.
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Published:
In this work we introduce NeoCam , an open source hardware-software platform for video-based monitoring of preterms infants in Neonatal Intensive Care Units (NICUs).
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Published:
Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load.
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Published:
We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15th September 2020 to 9th May 2021.
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In this study we apply Tun-AI to study the aggregation times and behavioural patterns of tuna around drifting Fish Aggregating Devices (dFADs).
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A novel Hybrid Search algorithm is introduced to address Zermelo’s Navigation Problem, demonstrating improved efficiency and real-world applicability.
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Published:
HADAD conducts a global exploration using an A* search on a hexagonal grid with higher-order neighbors, then refines the solution using a discrete Newton-Jacobi variational method.
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Published:
This paper presents statistical and machine learning analyses over a large dataset of LNG and LPG ships to improve the accuracy of early-stage vessel design.
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Published:
Data-driven methods for appliance-level electricity monitoring from smart-meter signals, developed during PhD research at UCA Datalab.
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Published:
ML system that estimates tuna biomass from echosounder buoy and oceanographic data, deployed commercially for over 1500 fishing vessels.
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Published:
Statistical analysis quantifying how nine categories of non-pharmaceutical interventions affected SARS-CoV-2 transmission during the second wave in Spain.
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Published:
Edge-cloud platform for contactless real-time monitoring of premature infants in neonatal ICUs, second global prize in the OpenCV AI Competition 2021.
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Published:
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.
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Bachelor's course, IE University, Bachelor of Applied Mathematics, 2023
An introductory Python programming course for first-year students in Applied Mathematics. Topics include variables, data structures, functions, file I/O, and basic data visualization.
Bachelor's course, IE University, Bachelor of Applied Mathematics, 2025
A hands-on Python course for Applied Mathematics students. Topics cover linear algebra in code, data analysis, visualization, and an introduction to machine learning. Course materials are publicly available.