{"id":1923,"date":"2023-02-06T17:19:57","date_gmt":"2023-02-06T17:19:57","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/max-brozynski-copy\/"},"modified":"2023-02-07T18:46:56","modified_gmt":"2023-02-07T18:46:56","slug":"segev-wasserkrug","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/segev-wasserkrug\/","title":{"rendered":"Segev Wasserkrug"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-1923\" data-postid=\"1923\" class=\"themify_builder_content themify_builder_content-1923 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_6mp8093 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_j3fd164 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_rckm000 image-top  track platform tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"\/wordpress\/analytics2023\/files\/2023\/01\/wasserkrug_2023_INFORMS_Analytics_Conference_speaker.jpg\" title=\"Segev Wasserkrug\" alt=\"Segev Wasserkrug headshot\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Segev Wasserkrug                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_f9a1046 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_206j510   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1><span style=\"background-color: initial;\">Segev Wasserkrug<\/span><\/h1>\n<h1><span style=\"font-size: 23.04px; letter-spacing: -0.6912px;\">Senior Technical Staff Member at IBM Research &#8211; Israel<\/span><\/h1>\n<div>Segev Wasserkrug is a Senior Research Staff Member at IBM Research &#8211; Israel, and an Industry Research Associate at the Technion, Israeli Institute of Technology. He has over 22 years of experience in applying advanced mathematical techniques from the areas of Operations Research, AI and Computer Science to help enterprises make better decisions in a variety of applications including workforce management, water and wastewater optimization, and logistics. Wasserkrug has a lengthy track record of leading and implementing successful applied OR\/Analytics projects and infusing advanced mathematical algorithms into IBM products. He is a three time Wagner prize finalist and an Innovative Application in Analytics Award finalist. He has over 35 academic publications and 30 submitted patents. Ph.D. in Information Systems Management and a B.A. and M.Sc. degrees in Computer Science, all from the Technion, Israel Institute of Technology.<\/div>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"tkfe007\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_tkfe007 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_bcgw905 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_l72e650 track platform  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Platforms and SaaS<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_pt1n265   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>\u200b\u200b\u200b\u200b\u200b\u200b\u200bA Verification First Approach to Simplified Optimization Model Creation with Applications to Assignment and Supply Chain Problems<\/h2>\n<p>Optimization, which can bring significant benefits to a variety of problems in many domains, is\u00a0<span style=\"font-size: 1em;\">currently a lengthy complex process requiring rare expertise. Therefore, finding tools or techniques\u00a0<\/span><span style=\"font-size: 1em;\">to significantly simplify the optimization modeling process a priority for the widespread applicability\u00a0<\/span><span style=\"font-size: 1em;\">of optimization in practice.\u00a0<\/span><\/p>\n<p><span style=\"font-size: 1em;\">In this talk, I will present a verification first modeling approach, which can be used to achieve such\u00a0<\/span><span style=\"font-size: 1em;\">significant simplification. I will show how, using spreadsheets as an efficient specification\u00a0<\/span><span style=\"font-size: 1em;\">mechanism, business decision makers working with optimization modelers can directly and\u00a0<\/span><span style=\"font-size: 1em;\">accurately define the constraints and objectives of the optimization problem, by writing formulas\u00a0<\/span><span style=\"font-size: 1em;\">that, given any solution to the problem, calculate the resulting objectives and check whether the\u00a0<\/span><span style=\"font-size: 1em;\">constraints are satisfied.<\/span><\/p>\n<p>Key takeaways will include:<\/p>\n<ul>\n<li>The classical optimization modeling approach and the importance of model verification.<\/li>\n<li>An understanding of the spreadsheet-based verification first approach, using examples from\u00a0<span style=\"font-size: 1em;\">assignment and supply chain optimization problems.<\/span><\/li>\n<li>An overview of the state-of-the-art in simplifying optimization modeling, including the use of l<span style=\"font-size: 1em;\">arge language models such as ChatGPT.<\/span><\/li>\n<\/ul>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Segev Wasserkrug Segev Wasserkrug Senior Technical Staff Member at IBM Research &#8211; Israel Segev Wasserkrug is a Senior Research Staff Member at IBM Research &#8211; Israel, and an Industry Research Associate at the Technion, Israeli Institute of Technology. He has over 22 years of experience in applying advanced mathematical techniques from the areas of Operations [&hellip;]<\/p>\n","protected":false},"author":1001094,"featured_media":1335,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-1923","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Segev Wasserkrug - 2023 INFORMS Business Analytics Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/segev-wasserkrug\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Segev Wasserkrug\" \/>\n<meta property=\"og:description\" content=\"Segev Wasserkrug Segev Wasserkrug Senior Technical Staff Member at IBM Research &#8211; Israel Segev Wasserkrug is a Senior Research Staff Member at IBM Research &#8211; Israel, and an Industry Research Associate at the Technion, Israeli Institute of Technology. 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Israel<\/h1> Segev Wasserkrug is a Senior Research Staff Member at IBM Research - Israel, and an Industry Research Associate at the Technion, Israeli Institute of Technology. He has over 22 years of experience in applying advanced mathematical techniques from the areas of Operations Research, AI and Computer Science to help enterprises make better decisions in a variety of applications including workforce management, water and wastewater optimization, and logistics. Wasserkrug has a lengthy track record of leading and implementing successful applied OR\/Analytics projects and infusing advanced mathematical algorithms into IBM products. He is a three time Wagner prize finalist and an Innovative Application in Analytics Award finalist. He has over 35 academic publications and 30 submitted patents. Ph.D. in Information Systems Management and a B.A. and M.Sc. degrees in Computer Science, all from the Technion, Israel Institute of Technology.\n<h6>Track: Platforms and SaaS<\/h6>\n<h2>\u200b\u200b\u200b\u200b\u200b\u200b\u200bA Verification First Approach to Simplified Optimization Model Creation with Applications to Assignment and Supply Chain Problems<\/h2> <p>Optimization, which can bring significant benefits to a variety of problems in many domains, is\u00a0currently a lengthy complex process requiring rare expertise. Therefore, finding tools or techniques\u00a0to significantly simplify the optimization modeling process a priority for the widespread applicability\u00a0of optimization in practice.\u00a0<\/p> <p>In this talk, I will present a verification first modeling approach, which can be used to achieve such\u00a0significant simplification. I will show how, using spreadsheets as an efficient specification\u00a0mechanism, business decision makers working with optimization modelers can directly and\u00a0accurately define the constraints and objectives of the optimization problem, by writing formulas\u00a0that, given any solution to the problem, calculate the resulting objectives and check whether the\u00a0constraints are satisfied.<\/p> <p>Key takeaways will include:<\/p> <ul> <li>The classical optimization modeling approach and the importance of model verification.<\/li> <li>An understanding of the spreadsheet-based verification first approach, using examples from\u00a0assignment and supply chain optimization problems.<\/li> <li>An overview of the state-of-the-art in simplifying optimization modeling, including the use of large language models such as ChatGPT.<\/li> <\/ul>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/1923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/users\/1001094"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/comments?post=1923"}],"version-history":[{"count":14,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/1923\/revisions"}],"predecessor-version":[{"id":2062,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/1923\/revisions\/2062"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/712"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media\/1335"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media?parent=1923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}