{"id":5235,"date":"2024-10-31T09:25:57","date_gmt":"2024-10-31T13:25:57","guid":{"rendered":"https:\/\/carleton.ca\/sce\/?p=5235"},"modified":"2026-01-23T11:20:08","modified_gmt":"2026-01-23T16:20:08","slug":"informs-awards-2024-impact-prize-to-professor-john-chinneck-for-groundbreaking-work-in-optimization","status":"publish","type":"post","link":"https:\/\/carleton.ca\/sce\/2024\/informs-awards-2024-impact-prize-to-professor-john-chinneck-for-groundbreaking-work-in-optimization\/","title":{"rendered":"INFORMS Awards 2024 Impact Prize to Professor John Chinneck for Groundbreaking Work in Optimization"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        INFORMS Awards 2024 Impact Prize to Professor John Chinneck for Groundbreaking Work in Optimization\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n<figure class=\"wp-block-image alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"240\" height=\"320\" src=\"https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-240x320.jpg\" alt=\"\" class=\"wp-image-5237\" srcset=\"https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-240x320.jpg 240w, https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-160x213.jpg 160w, https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-768x1024.jpg 768w, https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-400x533.jpg 400w, https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-1152x1536.jpg 1152w, https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-1536x2048.jpg 1536w, https:\/\/carleton.ca\/sce\/wp-content\/uploads\/sites\/195\/AwardPlaque-360x480.jpg 360w\" sizes=\"auto, (max-width: 240px) 100vw, 240px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>The Institute for Operations Research and the Management Sciences (INFORMS) has awarded its 2024 Impact Prize to Professor John Chinneck for his influential work in optimization, particularly his methods for detecting infeasibility in mathematical models. Chinneck\u2019s groundbreaking algorithms help identify parts of a model that prevent it from working as intended. These tools have been widely adopted by major optimization software like CPLEX and Gurobi, making model debugging easier and expanding the use of optimization in industries around the world.<\/p>\n\n\n\n<p>Chinneck\u2019s work has also made its way into various solver APIs and modeling languages, such as AMPL, GAMS, and MATLAB, benefiting thousands of users. His algorithms have practical applications in areas like radiation treatment, computer vision, and network analysis, allowing for more efficient model development and decision-making. See more<a href=\"https:\/\/www.informs.org\/Recognizing-Excellence\/INFORMS-Prizes\/Impact-Prize\"> here<\/a>.<\/p>\n\n\n\n<p>Congratulations Professor Chinneck!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Institute for Operations Research and the Management Sciences (INFORMS) has awarded its 2024 Impact Prize to Professor John Chinneck for his influential work in optimization, particularly his methods for detecting infeasibility in mathematical models. Chinneck\u2019s groundbreaking algorithms help identify parts of a model that prevent it from working as intended. These tools have been [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":5236,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"class_list":["post-5235","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/5235","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/comments?post=5235"}],"version-history":[{"count":3,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/5235\/revisions"}],"predecessor-version":[{"id":5242,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/5235\/revisions\/5242"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/media\/5236"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/media?parent=5235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/categories?post=5235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/tags?post=5235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}