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About me
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Together with Vienna Insurance Group, IE University has launched a new research lab at the intersection of insurance, climate, and data science. I’m thrilled to be part of this exciting initiative.
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I was invited to speak on The Conversation Weekly podcast to share insights about Green Navigation and the future of low-emission maritime transport.
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My weather routing project, ‘Green Navigation’, was showcased at Prototypes for Humanity 2024 in Dubai.
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We brought IE students to Navalia 2024 in Vigo to present Green Navigation and connect with key players in Spain’s naval industry.
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Back in Halifax to present Green Navigation at the PINsight event, hosted by The PIER in collaboration with Opentop and the global Port Innovators Network.
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Discover how BAM students are reshaping the future of programming education with Chat-GPT.
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Our weather routing project, Green Navigation, was awarded €93,000 by the Missions València 2030 initiative for its contribution to reducing GHG emissions in maritime transport.
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Exciting times ahead as I begin a new research journey at IE University!
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We pitched Green Navigation in front of Spain’s maritime leaders, closing an incredible acceleration journey with Boluda Towage and the Opentop family.
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Happy to announce that my PhD thesis earned Cum Laude!
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Mathematics in action! Join me during this exciting workshop at the Royal Spanish Academy of Sciences, where we discussed the latest solutions in weather routing.
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Picture this: every single second, the shipping industry releases 30 tons of CO2 into the atmosphere. It’s a jaw-dropping fact that shook the European Parliament during my presentation!
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Curious about Canonical Green’s success? Discover how Opentop’s incubation programme shaped our journey to greener seas.
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Dive into the future of sustainable maritime technology at the 61st Congress of Naval Engineering and Maritime Industry in Palma de Mallorca.
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Discover the incredible blend of research, cultural immersion, and natural wonders I experienced during my internship at Dalhousie University, where mathematical challenges and hiking adventures intertwined!
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We presented the Smart Shipping tool at Digital Enterprise Show 2022 in Málaga, a global forum for digital innovation and industry 4.0.
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I participated in SEIO 2022, the national conference on Statistics and Operations Research, to present our Smart Shipping project and exchange ideas with researchers across disciplines.
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I helped organize the International Conference on Orthogonal Polynomials in Cádiz, bringing together experts from around the world to honor Francisco Marcellán.
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Smart Shipping is now part of IncubAzul, the Blue Economy high-tech incubator launched by the Cádiz Free Trade Zone with support from the European Union.
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Thrilled to share our success in Brest, propelling us closer to a sustainable future for marine transport!
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I presented Smart Shipping at the ‘New Bridges between Mathematics and Data Science’ workshop in Valladolid, where mathematics and real-world impact went hand in hand.
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Join us in celebrating our team’s success at the OpenCV AI Competition, where our groundbreaking NeoCam project earns second prize, revolutionizing the way we monitor and care for newborns with cutting-edge technology.
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I presented my latest research on energy disaggregation using deep learning at PowerTech 2021, the flagship IEEE conference for power and energy engineering in Europe.
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I presented my research on sustainable fishing using AI and marine data at the JIPII 2021 Doctoral Consortium hosted by Universidad de Cádiz.
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The UCA Datalab team earned third prize at the fifth edition of the Ocean Hackathon with a project to optimize maritime routes using ocean currents and evolutionary algorithms.
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At the height of the first COVID-19 wave, UCA Datalab developed a real-time model to forecast ICU bed demand across Andalusia using public hospital data.
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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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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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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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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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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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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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Short description of portfolio item number 2
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.