New publication on the design of LNG and LPG ships
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The Weather Navigation team publishes a new study on statistical and machine learning tools for the preliminary design of LNG and LPG carriers, based on a large-scale industrial dataset.
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The Weather Navigation team publishes a new study on statistical and machine learning tools for the preliminary design of LNG and LPG carriers, based on a large-scale industrial dataset.
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Daniel Precioso spoke about Weather Navigation and maritime decarbonization in The Conversation Weekly podcast.
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Announcing our new paper presenting the HADAD algorithm for advanced weather routing.
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Daniel Precioso presented our weather routing project in Prototypes for Humanity. Over 2000 solutions were submitted, only 100 were chosen!
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We have released the first benchmark for weather routing. Towards comparative research in maritime optimization!
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IE University students presented our weather routing solution at Navalia 2024 in Vigo, fostering collaboration between academia and Spain’s shipbuilding sector.
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We published a new article, introducing our novel Hybrid Search method to tackle Zermelo’s navigation problem.
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A public weather routing demo is now available in our Weather Navigation website.
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Our weather routing solution featured at PINsight 2024 in Halifax, strengthening knowledge transfer between academia and global port‑innovation networks.
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Today we would like to share with you the article on our weather routing project that was published in Diario EL PAÍS.
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Srishti Gupta, an M.Sc. student in Applied Mathematics at the IIT Roorkee, joins our weather routing research team for a three-month internship.
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Louis Bu, a mathematician from Dalhousie University and member of the Weather Routing Research team, succeeds at MSCS 2023 with the prestigious Graduate Research Award for his innovative study in maritime transport routing.
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The latest version of our research on weather routing using our novel Hybrid Search method has just been updated in ArXiV.
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Dr. Elena Fernández Aréizaga’s chapter in ‘International Series in Operations Research & Management Science’ aligns with our goal for sustainable maritime transport.
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Our recent visit to Halifax advanced our optimization algorithms and sparked potential synergies with the canadian maritime sector.
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Innovative algorithms and machine learning techniques take center stage at the Environmental Monitoring event.
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We were recently joined by Dalhousie’s researcher at the IE Tower, where we discussed weather routing.
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Rodrigo’s insightful presentation on geometric integration at the FoCM 2023 demonstrates our team’s commitment to computational mathematics.
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Calling for collaboration: our mission to create a more sustainable shipping industry.
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Revolutionizing marine engineering: our team’s innovative research using artificial intelligence for optimal ship behavior earns acclaim.