Research on Emulating Stormwater Drainage Simulations | Pursuing a PhD in AI at TU Delft
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PhD-candidate Alexander Garzón Díaz over zijn onderzoek met Autoregressive Graph Neural Network voor stormwater drainage simulaties.
In this video, PhD candidate Alexander Garzón Díaz talks about his paper “Autoregressive Graph Neural Network for Emulating Stormwater Drainage Simulations.” Watch and learn more about his research! 🎥 What You'll See in This Video: 00:00:00 Intro 00:00:15 Meet PhD candidate Alexander 00:00:39 Metamodel 00:01:03 Method used in this research 00:01:30 Results 00:02:07 Outro 💡 This video was recorded at the TU Delft PhD Poster Event 2024. At the event, PhD candidates had the chance to pitch their posters and engage with peers in their respective categories. Alexander Garzón Díaz, from the Faculty of Civil Engineering and Geosciences and the AidroLab, triumphed in the “Applications of AI” category with his high-quality poster about “Autoregressive Graph Neural Network for Emulating Stormwater Drainage Simulations.” Congratulations, Alexander! “Alex's poster captivated the jury with its clear structure, effectively introducing the problem setting, methodology, results, and their implications. The detailed analysis not only considered performance in the target domain but also explored potential generalization to other domains. The topic of stormwater drainage systems is both an intriguing application and highly relevant to our society,” said jury member Holger Caeser, Assistant Professor at the Intelligent Vehicles Group of Mechanical Engineering. 🔗 Useful Webpages 👉 Watch more video's about AI: https://edu.nl/c4npn 👉 Learn more about TU Delft | AI Initiative: https://edu.nl/cymea 👉 Learn more about research regarding Digital Society: https://edu.nl/6tamr 👉 All AI related vacancies at TU Delft: https://edu.nl/xw9pb 📱 Social Media Channels of TU Delft: ✅ Instagram: https://edu.nl/upny4 ✅ LinkedIn: https://edu.nl/cb3y8 ✅ X: https://edu.nl/drfmj ✅ Facebook: https://edu.nl/nkvhj
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