{"id":14934,"date":"2025-05-15T12:51:51","date_gmt":"2025-05-15T10:51:51","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&#038;p=14934"},"modified":"2025-05-15T12:51:51","modified_gmt":"2025-05-15T10:51:51","slug":"many-thanks-prof-li-maokun","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/many-thanks-prof-li-maokun\/","title":{"rendered":"Many thanks, Prof. LI Maokun!"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2025\/04\/2025-04-16.Social-Post.ELEDIA.Seminar-IEEE.Chapter.LI_.Maokun-1024x1024.png\" alt=\"\" class=\"wp-image-14935\" srcset=\"https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2025\/04\/2025-04-16.Social-Post.ELEDIA.Seminar-IEEE.Chapter.LI_.Maokun-1024x1024.png 1024w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2025\/04\/2025-04-16.Social-Post.ELEDIA.Seminar-IEEE.Chapter.LI_.Maokun-300x300.png 300w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2025\/04\/2025-04-16.Social-Post.ELEDIA.Seminar-IEEE.Chapter.LI_.Maokun-150x150.png 150w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2025\/04\/2025-04-16.Social-Post.ELEDIA.Seminar-IEEE.Chapter.LI_.Maokun-768x768.png 768w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2025\/04\/2025-04-16.Social-Post.ELEDIA.Seminar-IEEE.Chapter.LI_.Maokun.png 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>Today, we had the privilege of hosting Prof. Maokun LI (Tsinghua University and ELEDIA@Tsinghua) for an insightful seminar titled \u201cPhysics-embedded Deep Learning for Electromagnetic Data Inversion\u201d.<\/p>\n\n\n\n<p>Prof. Li presented pioneering research on how deep learning, integrated with physics, can transform electromagnetic data inversion, showcasing various intriguing studies he has conducted over the past years.<\/p>\n\n\n\n<p>Thank you, Prof. Li, for sharing your expertise and passion with us once again!<\/p>\n","protected":false},"author":1,"featured_media":14935,"template":"","format":"standard","meta":{"footnotes":""},"tags":[],"news_status":[],"news_topic":[],"class_list":["post","post-type","post-14934","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry",""],"acf":[],"_links":{"self":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/14934","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":6,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/14934\/revisions"}],"predecessor-version":[{"id":14941,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/14934\/revisions\/14941"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/14935"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=14934"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=14934"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=14934"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=14934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}