{"id":1652,"date":"2025-07-28T09:29:28","date_gmt":"2025-07-28T09:29:28","guid":{"rendered":"https:\/\/ieomsociety.org\/milwaukee2026\/?page_id=1652"},"modified":"2026-04-20T12:41:26","modified_gmt":"2026-04-20T12:41:26","slug":"ai-ml-competition","status":"publish","type":"page","link":"https:\/\/ieomsociety.org\/milwaukee2026\/ai-ml-competition\/","title":{"rendered":"AI-ML Competition"},"content":{"rendered":"<h1 style=\"text-align: center;\"><span style=\"color: #993300;\"><strong>Artificial Intelligence and Machine Learning Competition<\/strong><\/span><\/h1>\n<h2 style=\"text-align: center;\"><strong>AI-ML Competition<br \/>\nSubmission Deadline: May 1, 2026<\/strong><\/h2>\n<hr \/>\n<p><strong>Templates<\/strong><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/docs.google.com\/document\/d\/1S4pe4GADV_ComnWTD5QHlHtjueoyJIPu\/edit?usp=sharing&amp;ouid=102543267666412053935&amp;rtpof=true&amp;sd=true\" target=\"_blank\" rel=\"noopener\">Paper Template<\/a><\/strong><\/li>\n<li><a href=\"https:\/\/docs.google.com\/document\/d\/1238aawErswxB9ij6ZReIJjDv0DddwpSa\/edit?usp=drive_link&amp;ouid=102543267666412053935&amp;rtpof=true&amp;sd=true\" target=\"_blank\" rel=\"noopener\"><strong>Abstract Template<\/strong><\/a><\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/scl\/fi\/mey9hu0u25wzql9sjfqaq\/Poster-Template-2026-IEOM-Milwaukee.pptx?rlkey=zite5we9asymvwgkc8ihfetqr&amp;st=595nznw9&amp;dl=0\"><strong>Poster Template<\/strong><\/a><\/li>\n<\/ul>\n<hr \/>\n<p>Submission Link:\u00a0<a href=\"https:\/\/www.xcdsystem.com\/IEOM\/abstract\/index.cfm?ID=1gz1a0I\" target=\"_blank\" rel=\"noopener\">https:\/\/www.xcdsystem.com\/IEOM\/abstract\/index.cfm?ID=1gz1a0I<\/a><br \/>\nRegistration Link:\u00a0<a href=\"https:\/\/www.xcdsystem.com\/IEOM\/attendee\/index.cfm?ID=kfcuTzF\" target=\"_blank\" rel=\"noopener\">https:\/\/www.xcdsystem.com\/IEOM\/attendee\/index.cfm?ID=kfcuTzF<\/a><\/p>\n<hr \/>\n<p>The AI-ML Competition serves as a premier platform for experts, innovators, and industry leaders to showcase groundbreaking advancements in artificial intelligence and machine learning. This event fosters collaboration and knowledge exchange, exploring cutting-edge AI applications, data-driven strategies, and emerging technologies across various sectors, including higher education and industry.\u00a0Participants will present real-world case studies, innovative AI solutions, and data analytics methodologies that demonstrate the transformative impact of AI in decision-making, operational efficiency, and business strategy. The competition also highlights best industry practices, offering a unique opportunity for professionals and researchers to gain insights into AI-driven innovation.\u00a0Submissions will be evaluated by a panel of esteemed judges based on technical innovation, practical impact, and strategic relevance, ensuring recognition of the most promising AI solutions shaping the future.<\/p>\n<hr \/>\n<h3>IEOM Artificial Intelligence and Machine Learning Competition focuses on the following areas, but not limited to:<\/h3>\n<ul>\n<li>Machine learning applications for industrial engineering and operations management<\/li>\n<li>Artificial intelligence for decision support systems<\/li>\n<li>Predictive analytics and forecasting using machine learning<\/li>\n<li>Optimization using AI and machine learning<\/li>\n<li>Deep learning applications<\/li>\n<li>Supervised, unsupervised, and reinforcement learning<\/li>\n<li>Generative AI applications in engineering and operations<\/li>\n<li>Natural language processing (NLP) applications<\/li>\n<li>Computer vision for industrial and manufacturing systems<\/li>\n<li>AI for quality prediction and defect detection<\/li>\n<li>Predictive maintenance using machine learning<\/li>\n<li>AI-driven process improvement and operational excellence<\/li>\n<li>Intelligent scheduling and planning systems<\/li>\n<li>Supply chain and logistics analytics using AI<\/li>\n<li>AI for inventory optimization and demand forecasting<\/li>\n<li>Autonomous systems and intelligent automation<\/li>\n<li>Robotics and AI integration<\/li>\n<li>Smart manufacturing and Industry 4.0 applications<\/li>\n<li>Digital twins with AI and machine learning<\/li>\n<li>Data-driven decision making using AI<\/li>\n<li>Risk analysis and uncertainty modeling using machine learning<\/li>\n<li>Healthcare analytics and AI applications<\/li>\n<li>Sustainable systems and green applications using AI<\/li>\n<li>Explainable AI (XAI) and trustworthy AI<\/li>\n<li>Human-AI collaboration in operations and engineering systems<\/li>\n<li>Big data analytics for industrial applications<\/li>\n<li>AI-enabled simulation and simulation optimization<\/li>\n<li>Multi-agent systems and intelligent agents<\/li>\n<li>Ethical, responsible, and secure AI applications<\/li>\n<li>Real-world case studies using AI\/ML for operational improvement<\/li>\n<\/ul>\n<hr \/>\n<p><strong>Eligibility Criteria<\/strong><\/p>\n<ul>\n<li>The submitter must enroll in a master\u2019s program or be a recent graduate<\/li>\n<li>A synopsis of the thesis should be submitted<\/li>\n<li>Research must be presented at the 2026 IEOM Milwaukee Conference.<\/li>\n<\/ul>\n<hr \/>\n<p><strong>IEOM Competition Rubrics<\/strong><\/p>\n<ul>\n<li>Overall content: 1-5 points<\/li>\n<li>Data analysis and results: 1-5 points<\/li>\n<li>Presentation skills: 1-5 points<\/li>\n<li>Knowledge of the topic \/ confidence: 1-5 points<\/li>\n<li>Answering questions: 1-5 points<\/li>\n<\/ul>\n<hr \/>\n<p><strong>Judging<\/strong><br \/>\nA group of academics \/ professionals will serve as judges and evaluate the papers and presentations. Scoring rubrics will be used for both parts of the judging.<\/p>\n<p><strong>Winners<\/strong><br \/>\n1st, 2nd and 3rd place winners will receive award certificates.<\/p>\n<hr \/>\n<p><strong>Publication and Indexing &#8211; Proceedings<\/strong><\/p>\n<ul>\n<li>Papers will be published in the proceedings with DOI at IEOM Index. Your papers will be in open access with ISSN and ISBN.<\/li>\n<\/ul>\n<hr \/>\n<p>If you have any question for the IEOM Student Competition, please contact:\u00a0<a href=\"mailto:info@ieomsociety.org\">info@ieomsociety.org.<\/a><\/p>\n<hr \/>\n<h2><a href=\"http:\/\/ieomsociety.org\/ieom\/ethics-malpractice-statement\/\"><strong>IEOM Publication Ethics and Malpractice Statement<\/strong><\/a><\/h2>\n<hr \/>\n<h2>Each paper must present a significant research contribution, encompassing:<\/h2>\n<ol>\n<li><strong>Motivation of the Research<\/strong>: Clearly state the relevance of the research and its importance within the field.<\/li>\n<li><strong>Problem Statements and Objectives<\/strong>: Identify the specific problem(s) addressed and outline clear, measurable objectives.<\/li>\n<li><strong>Literature Review<\/strong>: Provide a comprehensive review of relevant research to establish the context and background.<\/li>\n<li><strong>Data<\/strong>: Describe the data sources, collection methods, and any preprocessing steps undertaken.<\/li>\n<li><strong>Methods<\/strong>: Detail the methodologies used, including the rationale behind their selection.<\/li>\n<li><strong>Results<\/strong>: Include both numerical and graphical results, effectively presenting key findings.<\/li>\n<li><strong>Statistical Analysis and Hypothesis Tests<\/strong>: Perform appropriate statistical tests to validate findings, presenting results with proper interpretation.<\/li>\n<li><strong>Research Validation<\/strong>: Demonstrate that each objective has been met through quantitative or qualitative analysis, confirming the reliability of the results.<\/li>\n<li><strong>Technical Writing Quality<\/strong>: Ensure the paper is well-written, free from spelling and grammatical errors, and follows a clear, logical structure.<\/li>\n<\/ol>\n<p>Each paper and its abstract must strictly adhere to the IEOM Template for consistent formatting, including fonts, headings, and layout.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence and Machine Learning Competition AI-ML Competition Submission Deadline: May 1, 2026 Templates Paper Template Abstract Template Poster Template Submission Link:\u00a0https:\/\/www.xcdsystem.com\/IEOM\/abstract\/index.cfm?ID=1gz1a0I Registration Link:\u00a0https:\/\/www.xcdsystem.com\/IEOM\/attendee\/index.cfm?ID=kfcuTzF The AI-ML Competition serves as a premier platform for experts, innovators, and industry leaders to showcase groundbreaking advancements in artificial intelligence and machine learning. This event fosters collaboration and knowledge exchange, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1652","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/pages\/1652","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/comments?post=1652"}],"version-history":[{"count":6,"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/pages\/1652\/revisions"}],"predecessor-version":[{"id":1960,"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/pages\/1652\/revisions\/1960"}],"wp:attachment":[{"href":"https:\/\/ieomsociety.org\/milwaukee2026\/wp-json\/wp\/v2\/media?parent=1652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}