{"id":121,"date":"2022-10-03T16:39:15","date_gmt":"2022-10-03T19:39:15","guid":{"rendered":"https:\/\/wp.ufpel.edu.br\/dpvsa2022\/?page_id=121"},"modified":"2023-05-25T11:26:59","modified_gmt":"2023-05-25T14:26:59","slug":"palestrante-fernanda-kastensmidt","status":"publish","type":"page","link":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/palestrante-fernanda-kastensmidt\/","title":{"rendered":"Palestrante &#8211; Fernanda Kastensmidt"},"content":{"rendered":"<p style=\"text-align: center;\"><strong><span style=\"font-size: 24pt;\">Fernanda Kastensmidt<\/span><br \/>\n<\/strong><strong><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Federal University of Paran\u00e1 (UFPR)&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}\">UFRGS<\/span><\/strong><\/p>\n<p style=\"text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-507\" src=\"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/files\/2023\/04\/avatar_Fernanda-Kastensmidt.png\" alt=\"\" width=\"200\" height=\"246\" \/><\/p>\n<h3 style=\"text-align: center;\"><span style=\"font-size: 18pt;\"><em><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;5 Years of Learned Compression - What's Next?&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}\">Carga \u00fatil dos Sat\u00e9lites NanoSat BR (1 e 2)<\/span><\/em><\/span><\/h3>\n<p style=\"text-align: center;\">Advanced<\/p>\n<p style=\"text-align: center;\">Data: 02\/06 &#8211; 15:30<\/p>\n<p style=\"text-align: center;\">Chair: Ney Calazans<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: 14pt;\"><strong>Abstract<\/strong><\/span><\/p>\n<p style=\"padding-left: 40px; text-align: justify;\"><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Since its emergence about half a decade ago, the field of learned data compression has attracted considerable attention. Using machine learning in source coding promises faster innovation cycles, as well as better adaptation to novel data modalities and nonlinear distortion metrics. For example, image codecs can now be end-to-end optimized to perform best for specific types of images, by simply replacing the training set. They may be designed to minimize a given perceptual metric, or in fact any differentiable perceptual loss function, without the need to evaluate it during encoding. In this talk, I will first review the current state of learned data compression, and then discuss one of the next challenges in learned image compression: developing better models of human perception, and improving realism of reconstructed images.&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:769,&quot;3&quot;:{&quot;1&quot;:0},&quot;11&quot;:4,&quot;12&quot;:0}\">TBD<\/span><\/p>\n<p><span style=\"font-size: 14pt;\"><strong>Biography<\/strong><\/span><\/p>\n<p style=\"text-align: justify; padding-left: 40px;\">Possui gradua\u00e7\u00e3o em Engenharia El\u00e9trica pela Universidade Federal do Rio Grande do Sul (1997), mestrado em Ci\u00eancias da Computa\u00e7\u00e3o pela Universidade Federal do Rio Grande do Sul (1999) e doutorado em Ci\u00eancias da Computa\u00e7\u00e3o pela Universidade Federal do Rio Grande do Sul (2003). Atualmente \u00e9 professor Associado da Universidade Federal do Rio Grande do Sul e Coordenador do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Microeletr\u00f4nica (PGMICRO). Tem experi\u00eancia na \u00e1rea de Microeletr\u00f4nica e Engenharia da Computa\u00e7\u00e3o, com \u00eanfase em Hardware, atuando principalmente nos seguintes temas: t\u00e9cnicas de prote\u00e7\u00e3o a falhas de radia\u00e7\u00e3o, projeto de sistemas tolerante a falhas, arquitetura program\u00e1vel, FPGA, qualifica\u00e7\u00e3o de sistemas e circuitos integrados sob falhas e modelagem de falhas. \u00c9 autora do livro Fault Tolerance Techniques for SRAM-based FPGAs publicado em 2006 pela editora Springer e co-autora de mais 3 livros cientificos. Participou do projeto da carga \u00fatil do sat\u00e9lite NanoSat-BR1 que foi lan\u00e7ado em Junho de 2014 e atualmente est\u00e1 no projeto do NanoSat-BR2 onde parte da carga \u00fatil \u00e9 responsavel por analisar os efeitos da SAA em Circuitos Integrados fabricados em tecnologia nanom\u00e9trica.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fernanda Kastensmidt UFRGS Carga \u00fatil dos Sat\u00e9lites NanoSat BR (1 e 2) Advanced Data: 02\/06 &#8211; 15:30 Chair: Ney Calazans &nbsp; Abstract TBD Biography Possui gradua\u00e7\u00e3o em Engenharia El\u00e9trica pela Universidade Federal do Rio&#46;&#46;&#46;<\/p>\n","protected":false},"author":746,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-121","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/pages\/121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/users\/746"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/comments?post=121"}],"version-history":[{"count":7,"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/pages\/121\/revisions"}],"predecessor-version":[{"id":772,"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/pages\/121\/revisions\/772"}],"wp:attachment":[{"href":"https:\/\/wp.ufpel.edu.br\/emicrosim2023\/wp-json\/wp\/v2\/media?parent=121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}