{"id":960,"date":"2025-11-03T15:51:27","date_gmt":"2025-11-03T15:51:27","guid":{"rendered":"https:\/\/ivory-network.eu\/?p=960"},"modified":"2025-11-03T16:08:16","modified_gmt":"2025-11-03T16:08:16","slug":"ivory-researcher-wins-best-poster-award","status":"publish","type":"post","link":"https:\/\/ivory-network.eu\/index.php\/2025\/11\/03\/ivory-researcher-wins-best-poster-award\/","title":{"rendered":"IVORY Researcher Wins Best Poster Award"},"content":{"rendered":"

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Simone Paradiso<\/strong>, PhD Candidate and Researcher at the National Technical University of Athens (NTUA), was awarded the Best Poster<\/strong>, titled \u201cAI for road safety monitoring and crash prediction from micro to macro levels<\/strong><\/span>\u201d<\/span> at the Porsche Symposium<\/strong> for Scientific and Practical Progress in AI, held on June 26, 2025, in Stuttgart.<\/p>\n

The Symposium took place as part of the GSERM St. Gallen Summer School 2025, bringing together researchers, practitioners, and industry experts to explore the latest developments in Generative AI and Large Language Models (LLMs).<\/p>\n

\ud83d\udc49 The poster can be seen here<\/a>.<\/p>\n

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Simone Paradiso, PhD Candidate and Researcher at the National Technical University of Athens (NTUA), was awarded the Best Poster, titled \u201cAI for road safety monitoring and crash prediction from micro to macro levels\u201d at the Porsche Symposium for Scientific and Practical Progress in AI, held on June 26, 2025, in Stuttgart. The Symposium took place […]<\/p>\n","protected":false},"author":8,"featured_media":965,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-960","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t