{"id":18,"date":"2021-03-01T14:40:03","date_gmt":"2021-03-01T14:40:03","guid":{"rendered":"http:\/\/cvml.localhost\/?post_type=member&#038;p=18"},"modified":"2024-10-29T09:11:01","modified_gmt":"2024-10-29T09:11:01","slug":"petia-radeva","status":"publish","type":"member","link":"https:\/\/www.ub.edu\/aiba\/member\/petia-radeva\/","title":{"rendered":"Petia I. Radeva"},"featured_media":166,"template":"","class_list":["post-18","member","type-member","status-publish","has-post-thumbnail","hentry"],"acf":{"short_bio":"Full professor in the Department of Mathematics and Computer Science at the Universtiy of Barcelona, Senior Researcher in CVC, Head of \u201cArtificial Intelligence and Bio-Medical Applications at UB\u201d","extended_bio":"<p>Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), PI of the Consolidated Research Group \u201cArtificial Intelligence and Bio-Medical Applications\u201d at the University of Barcelona (AIBA) at UB (www.ub.edu\/cvub) and Senior researcher in Computer Vision Center (www.cvc.uab.es). She was PI of UB in 4 European, 3 international and more than 20 national projects devoted to applying Computer Vision and Machine learning for real problems like food intake monitoring (e.g. for patients with kidney transplants and for older people). Petia Radeva is a REA-FET-OPEN vice-chair since 2015 on, and international mentor in the Wild Cards EIT program since 2017.<\/p>\n<p>She is an Associate editor of Pattern Recognition journal (Q1) and International Journal of Visual Communication and Image Representation (Q2).<\/p>\n<p>Petia Radeva has been awarded IAPR Fellow since 2015, ICREA Academia assigned to the 30 best scientists in Catalonia for her scientific merits since 2014, received several international awards (\u201cAurora Pons Porrata\u201d of CIARP, Prize \u201cAntonio Caparr\u00f3s\u201d for the best technology transfer of UB, etc).<\/p>\n<p>She supervised 22 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings, her Google scholar h-index is 44 with more than 7600 cites and WOS h-index: 79.<\/p>\n","position":"Full Professor","research_lines":[{"ID":63,"post_author":"1","post_date":"2021-06-13 18:24:34","post_date_gmt":"2021-06-13 18:24:34","post_content":"","post_title":"Deep learning for food computing","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"deep-learning-for-food-computing","to_ping":"","pinged":"","post_modified":"2024-03-12 13:31:14","post_modified_gmt":"2024-03-12 13:31:14","post_content_filtered":"","post_parent":0,"guid":"http:\/\/cvml.localhost\/?post_type=research_line&#038;p=63","menu_order":2,"post_type":"research_line","post_mime_type":"","comment_count":"0","filter":"raw"}],"research_gate_slug":"Petia-Radeva-2","show_in_home":true,"google_scholar_id":"p_MCjd4AAAAJ","contacts_plain":"petia.ivanova@ub.edu\r\n<a href=\"https:\/\/www.ub.edu\/aiba\/petiaradeva\/\">Personal Webpage<\/a>\r\nhttps:\/\/www.linkedin.com\/in\/petia-radeva-71651334\/\r\nhttps:\/\/twitter.com\/radevap\r\nhttps:\/\/www.researchgate.net\/profile\/Petia-Radeva-2\r\nhttps:\/\/scholar.google.com\/citations?user=p_MCjd4AAAAJ&hl=en&oi=sra\r\n","icon":"website","title":""},"_links":{"self":[{"href":"https:\/\/www.ub.edu\/aiba\/wp-json\/wp\/v2\/member\/18","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ub.edu\/aiba\/wp-json\/wp\/v2\/member"}],"about":[{"href":"https:\/\/www.ub.edu\/aiba\/wp-json\/wp\/v2\/types\/member"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ub.edu\/aiba\/wp-json\/wp\/v2\/media\/166"}],"wp:attachment":[{"href":"https:\/\/www.ub.edu\/aiba\/wp-json\/wp\/v2\/media?parent=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}