{"id":4845,"date":"2016-01-15T16:29:17","date_gmt":"2016-01-15T21:29:17","guid":{"rendered":"https:\/\/vieux.ivado.ca\/en\/qui-sommes-nous\/centres\/"},"modified":"2020-06-18T10:30:28","modified_gmt":"2020-06-18T14:30:28","slug":"centres","status":"publish","type":"page","link":"https:\/\/vieux.ivado.ca\/en\/spotlight\/centres\/","title":{"rendered":"Academic Members"},"content":{"rendered":"<p>IVADO researchers are affiliated with 7 internationally renowned research centres in operations research, big data processing and statistics, artificial intelligence and deep learning.<\/p>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"clear\"><\/div><div class=\"gdlr-item gdlr-divider-item\"  ><div class=\"gdlr-divider solid\"  style=\"width: 50%;\" ><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2016\/05\/DS_title_white.jpg\" alt=\"Canada Excellence Research Chair in Data Science for Real-Time Decision-Making\" \/><a href=\"http:\/\/cerc-datascience.polymtl.ca\/\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"http:\/\/cerc-datascience.polymtl.ca\/\" target=\"_blank\" rel=\"noopener noreferrer\">Canada Excellence Research Chair in Data Science for Real-Time Decision-Making<\/a><\/h3>\n<p>The Canada Excellence Research Chair in Data Science for Real-Time Decision-Making is Canada\u2019s leading chair in operations research. It aims to create new models and algorithms to quickly and efficiently manage large amounts of data from multiple sources in order to generate transferrable knowledge and automate decision making.<\/p>\n<\/div><\/div>\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2019\/04\/vertical-couleur-noir.png\" alt=\"Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation\" \/><a href=\"https:\/\/www.cirrelt.ca\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"https:\/\/www.cirrelt.ca\/\">Inter-university research centre on enterprise networks, logistics and transportation<\/a><\/h3>\n<p>The CIRRELT is an interdisciplinary research centre dedicated to resolving decision-related issues linked to the design, management, operations and safety of logistics networks, services and infrastructures. It brings together researchers specialized in operations research, computer sciences, engineering, statistics and econometrics on projects in areas including transportation, energy, finance, health and communications.<\/p>\n<\/div><\/div>\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2016\/01\/GERADen.jpg\" alt=\"Groupe d'\u00e9tudes et de recherche en analyse des d\u00e9cisions\" \/><a href=\"https:\/\/www.gerad.ca\/en\/\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"https:\/\/www.gerad.ca\/en\">Group for Research in Decision Analysis<\/a><\/h3>\n<p>The GERAD is an interuniversity research centre that brings together some ninety experts in quantitative methods for management, operations research, theoretical computer science, mathematics and mathematical engineering at HEC Montr\u00e9al, Polytechnique Montr\u00e9al, McGill University and UQAM. The centre\u2019s objective is to develop mathematical decision-making concepts for major technological, commercial and economic systems and improve modeling based on statistics, simulation and data processing.<\/p>\n<\/div><\/div>\r\n\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2019\/09\/Logo_Mila_horizontal.png\" alt=\"Institut des algorithmes d'apprentissage de Montr\u00e9al\" \/><a href=\"https:\/\/mila.quebec\/\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"https:\/\/mila.quebec\/\">Mila &#8211; Quebec Artificial Intelligence Institute<\/a><\/h3>\n<p>Mila rallies researchers specializing in the field of deep and reinforcement learning. Recognized globally for its significant contributions to the field of deep learning, Mila has distinguished itself in the areas of language modelling, machine translation, object recognition and generative models. Since 2017, Mila is the result of a partnership between the Universit\u00e9 de Montr\u00e9al and McGill University with \u00c9cole Polytechnique de Montr\u00e9al and HEC Montr\u00e9al.<\/p>\n<\/div><\/div>\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2018\/08\/Tech3Lab_500x300.png\" alt=\"\" \/><a href=\"https:\/\/tech3lab.hec.ca\/\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><p><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"http:\/\/tech3lab.hec.ca\/en\/\">Tech3Lab<\/a><a href=\"https:\/\/www.gerad.ca\/fr\"><\/h3><\/a><\/p>\n<p><span style=\"font-weight: 400;\">The Tech3Lab is the most important UX lab in North America. The Tech3Lab is an applied laboratory in management science specializing in the analysis of interactions between technological interfaces in organisations and their employees or customers. Our mission is to Perform applied research in the field of user experience (UX) conducting scientific advances, to create new UX evaluation tools for industry and research and to train UX research professionals for industry as well as for scientific research.<\/span><\/p>\n<\/div><\/div>\r\n\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2018\/08\/CRM_500x300.png\" alt=\"\" \/><a href=\"http:\/\/www.crm.umontreal.ca\/\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"http:\/\/www.crm.umontreal.ca\/en\/index.shtml\">CRM (Centre de recherches math\u00e9matiques)<\/a><\/h3>\n<p><span style=\"font-weight: 400;\">With its world-renowned thematic programming introduced by the CRM in the 80&#8217;s, its scientific workshops and outreach activities, its 1,500 annual visiting scientists from around the world, and thirteen laboratories directly involving more than 200 researchers from twelve major universities in Quebec and Ontario, the Centre de recherches math\u00e9matiques (CRM) is a major hub for the mathematical sciences. The dual structure on which the CRM is built &#8212; top level international scientific programming running in parallel with thirteen high-performance research laboratories &#8212; is unique in Canada. It is also unique in the world.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Centre de recherches math\u00e9matiques (CRM) was founded in 1968. Under the direction of Professor Luc Vinet as of July 20, 2013, the Centre&#8217;s mandate is to serve as a national centre for fundamental research in mathematics and their applications. The CRM&#8217;s scientific personnel includes more than one hundred members and postdoctoral fellows. Further, the Centre hosts from year to year a large number of guest researchers.<\/span><\/p>\n<\/div><\/div>\r\n\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"gdlr-styled-box-item-ux gdlr-ux\" ><div class=\"gdlr-item gdlr-styled-box-item\" ><div class=\"gdlr-styled-box-body\" style=\"background-color:#ffffff; color: #000000; \" ><div class=\"gdlr-shortcode-wrapper gdlr-row-shortcode\">\r\n<div class=\"four columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><div class=\"gdlr-frame-shortcode gdlr-align-center\"><div class=\"gdlr-frame frame-type-normal\" ><div class=\"gdlr-image-link-shortcode\" style=\"max-width: 310px\" ><img decoding=\"async\" src=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2019\/04\/consortium-sante-numerique.png\" alt=\"\" \/><a href=\"https:\/\/santenumerique.umontreal.ca\/\"  target=\"_blank\" ><span class=\"gdlr-image-link-overlay\">&nbsp;<\/span><span class=\"gdlr-image-link-icon\"><i class=\"icon-link\" ><\/i><\/span><\/a><\/div><\/div><span class=\"gdlr-frame-caption\"><\/span><\/div>\n<\/div><\/div><div class=\"eight columns\"><div class=\"gdlr-item gdlr-column-shortcode\"><p><h3 class=\"gdlr-heading-shortcode \"  style=\"font-size: 24px;font-weight: bold;\" ><a href=\"https:\/\/santenumerique.umontreal.ca\/\">Consortium Sant\u00e9 Num\u00e9rique<\/a><a href=\"https:\/\/santenumerique.umontreal.ca\/\"><\/h3><\/a><\/p>\n<p>L\u2019id\u00e9e du Consortium Sant\u00e9 Num\u00e9rique a \u00e9t\u00e9 inspir\u00e9e par le plan d\u2019action de l\u2019Universit\u00e9 de Montr\u00e9al lanc\u00e9 en 2016, qui visait la cr\u00e9ation du Laboratoire d\u2019innovation. Ce laboratoire avait comme mission de d\u00e9terminer des th\u00e9matiques transversales \u00e0 mettre en avant et \u00e0 p\u00e9renniser. La sant\u00e9 num\u00e9rique est ainsi apparue comme un domaine important pour l\u2019ensemble des acteurs.<\/p>\n<p>Rassemblant les diff\u00e9rentes facult\u00e9s, institutions et centres de recherche affili\u00e9s \u00e0 l\u2019Universit\u00e9 de Montr\u00e9al ayant un int\u00e9r\u00eat en sant\u00e9 num\u00e9rique, le Consortium Sant\u00e9 Num\u00e9rique, cr\u00e9\u00e9 au printemps 2019, cherchera \u00e0 mieux soutenir, coordonner et planifier la recherche et la formation sur cette th\u00e9matique.<\/p>\n<\/div><\/div>\r\n\r\n<div class=\"clear\"><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<div class=\"gdlr-shortcode-wrapper\"><div class=\"clear\"><\/div><div class=\"gdlr-item gdlr-divider-item\"  ><div class=\"gdlr-divider solid\"  style=\"width: 50%;\" ><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>IVADO researchers are affiliated with 7 internationally renowned research centres in operations research, big data processing and statistics, artificial intelligence and deep learning.<\/p>\n","protected":false},"author":33,"featured_media":0,"parent":4874,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - 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