Artificial Intelligence and Machine Learning Competition

Onsite + Online via Zoom
Competition Paper or Abstract will be published in the conference proceedings.

Submission Link: https://www.xcdsystem.com/IEOM/abstract/index.cfm?ID=t4tzIPt
Registration Link: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=HTzm6IL

The AI and Data Analytics discusses the latest advancements, trends, and applications of AI and data-driven strategies across various industries including higher education. By highlighting cutting-edge research, real-world case studies, and emerging technologies, the discussion aims to provide invaluable insights into how businesses can leverage AI and data analytics to drive innovation, enhance decision-making, and maintain a competitive edge in an increasingly data-centric world.

Trends in AI and Data Analytics
AI in Education Transformation
Big Data Management and IA Business Transformation
Ethics and Governance in AI
Challenges in AI Deployment
Future of AI and Data Analytics

IEOM Competition Rubrics

Overall content: 1-5 points
Data analysis and results: 1-5 points
Presentation skills: 1-5 points
Knowledge of the topic / confident: 1-5 points
Answering questions: 1-5 points

IEOM Publication Ethics and Malpractice Statement

Each paper must present a significant research contribution, encompassing:

Motivation of the Research: Clearly state the relevance of the research and its importance within the field.
Problem Statements and Objectives: Identify the specific problem(s) addressed and outline clear, measurable objectives.
Literature Review: Provide a comprehensive review of relevant research to establish the context and background.
Data: Describe the data sources, collection methods, and any preprocessing steps undertaken.
Methods: Detail the methodologies used, including the rationale behind their selection.
Results: Include both numerical and graphical results, effectively presenting key findings.
Statistical Analysis and Hypothesis Tests: Perform appropriate statistical tests to validate findings, presenting results with proper interpretation.
Research Validation: Demonstrate that each objective has been met through quantitative or qualitative analysis, confirming the reliability of the results.
Technical Writing Quality: Ensure the paper is well-written, free from spelling and grammatical errors, and follows a clear, logical structure.

Each paper and its abstract must strictly adhere to the IEOM Template for consistent formatting, including fonts, headings, and layout.

3rd IEOM World Congress on Industrial Engineering and Operations Management – Advanced Manufacturing and Industrial AI Innovation
Irvine, California, USA, October 13-15, 2026
Venue: Courtyard by Marriott Irvine Spectrum
Conference Chair: Mr. Javad Mokhbery, CEO and President, FUTEK Advanced Sensor Technology, Inc., Irvine, California, United States

Website: https://ieomsociety.org/irvine2026/
Preliminary Program: https://ieomsociety.org/documents/program-irvine2026.pdf
Keynotes: https://ieomsociety.org/irvine2026/keynotes/
Panels: https://ieomsociety.org/irvine2026/panels/

Submission Link: https://www.xcdsystem.com/IEOM/abstract/index.cfm?ID=t4tzIPt
Registration Link: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=HTzm6IL