{"id":5334,"date":"2025-09-05T15:31:26","date_gmt":"2025-09-05T15:31:26","guid":{"rendered":"https:\/\/conferences.sigappfr.org\/wise2026\/?post_type=speaker&#038;p=5334"},"modified":"2026-01-18T11:50:13","modified_gmt":"2026-01-18T11:50:13","slug":"michalis-vazirgiannis","status":"publish","type":"speaker","link":"https:\/\/conferences.sigappfr.org\/wise2026\/speaker\/michalis-vazirgiannis\/","title":{"rendered":"Michalis Vazirgiannis"},"content":{"rendered":"\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><\/blockquote>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"601\" height=\"577\" src=\"https:\/\/conferences.sigappfr.org\/wise2026\/wp-content\/uploads\/2025\/09\/mikis_2025-copie.jpg\" alt=\"\" class=\"wp-image-5650\" style=\"width:334px;height:auto\" srcset=\"https:\/\/conferences.sigappfr.org\/wise2026\/wp-content\/uploads\/2025\/09\/mikis_2025-copie.jpg 601w, https:\/\/conferences.sigappfr.org\/wise2026\/wp-content\/uploads\/2025\/09\/mikis_2025-copie-300x288.jpg 300w\" sizes=\"auto, (max-width: 601px) 100vw, 601px\" \/><\/figure>\n<\/div>\n\n\n<h1 class=\"wp-block-heading\">Michalis Vazirgiannis<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">Professor at LIX, <strong>Ecole Polytechnique<\/strong>, France<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">M. Vazirgiannis is a&nbsp;<em>Distinguished Professor at Ecole Polytechnique in Franc<\/em>e. Since 2025 he also holds an affiliate Professor position in MBZUAI at UAE.&nbsp;He has been intensively involved in&nbsp;<em>data science&nbsp;<\/em>and&nbsp;<em>AI&nbsp;<\/em>related research. His broad research area is&nbsp;in&nbsp;methods for data&nbsp;scienceand machine\/deep learning&nbsp;methods&nbsp;for diverse data types and applications (including graphs, text, time series).&nbsp;Recently he is working on multimodal LLMs with applications in the area of proteins\/cells and also LLMs for Arabic dialects. In the same context he has lead efforts for pretrained language models and resources for multilingual NLP and Biomedical applications. The other branch of his research is on Graph Machine\/deep learning and graph generative AI especially GNNs and aspects including expressiveness, efficiency, generation.&nbsp;&nbsp;His research and industrial impact&nbsp;is&nbsp;spanning different domains such as web advertising,&nbsp;social networks, online gambling, insurance, legal text applications, aviation and maritime industry&nbsp;and the bio\/medical domain. He&nbsp;has been&nbsp;teaching machine\/deep&nbsp;learning and AI courses for academic and executive training studies&nbsp;in France, China, UAE, Morocco, Spain, Greece.&nbsp;Pr. Vazirgiannis has published more than 250 papers in international journals and proceedings of international conferences&nbsp;including NeurIPS, AAAI\/IJCAI, AISTATS, ICLR, EMNLP\/ACL, JMLR, JAIR, KDD, Nature\/Digital Medicine, Scientific Reports. On the side of&nbsp;<em>supervision&nbsp;<\/em>he has supervised&nbsp;<em>35&nbsp;completed PhD theses.&nbsp;<\/em>Finally he has been able to attract significant&nbsp;funding&nbsp;for research from national and international sources, from research agencies and industrial partners (including Google, Airbus, Huawei, Deezer, BNP, LVMH). He lead(s) academic research chairs (DIGITEO 2013-15, ANR\/HELAS 2020-26, WASP\/KTH 2020-25) and an industrial one (AXA, 2015-2018). He has received several&nbsp;<em>awards and distinctions&nbsp;<\/em>including i. Marie Curie Intra European Fellowship (2006-8) ii.&nbsp;&#8220;Rhino-Bird International Academic Expert Award&#8221; in recognition of his academic\/professional work&nbsp;from&nbsp;Tencent (2017), iii. best paper awards in international conferences (such as IJCAI 2018, CIKM2013, COLING2025). He has been invited to&nbsp;<em>media interviews&nbsp;<\/em>in France,&nbsp;USA&nbsp;and China&nbsp;&nbsp;and&nbsp;<em>published popularized articles&nbsp;<\/em>in French and Greek magazines\/newspapers on Artificial Intelligence topics.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">More info at:&nbsp;<a href=\"http:\/\/www.lix.polytechnique.fr\/dascim\/\">http:\/\/www.lix.polytechnique.fr\/dascim\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Title: <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Michalis Vazirgiannis Professor at LIX, Ecole Polytechnique, France M. Vazirgiannis is a&nbsp;Distinguished Professor at Ecole Polytechnique in France. Since 2025 he also holds an affiliate Professor position in MBZUAI at UAE.&nbsp;He has been intensively involved in&nbsp;data science&nbsp;and&nbsp;AI&nbsp;related research. His broad&#8230;<\/p>\n","protected":false},"author":2,"featured_media":5650,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"speaker-category":[141],"speaker-tags":[148,109],"location":[68,101],"class_list":["post-5334","speaker","type-speaker","status-publish","has-post-thumbnail","hentry","speaker-category-keynote-speaker","speaker-tags-keynotes","speaker-tags-speaker","location-france","location-paris"],"_links":{"self":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/speaker\/5334","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/speaker"}],"about":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/types\/speaker"}],"author":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/comments?post=5334"}],"version-history":[{"count":7,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/speaker\/5334\/revisions"}],"predecessor-version":[{"id":5655,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/speaker\/5334\/revisions\/5655"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/media\/5650"}],"wp:attachment":[{"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/media?parent=5334"}],"wp:term":[{"taxonomy":"speaker-category","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/speaker-category?post=5334"},{"taxonomy":"speaker-tags","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/speaker-tags?post=5334"},{"taxonomy":"location","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wise2026\/wp-json\/wp\/v2\/location?post=5334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}