Artificial Intelligence and Machine Learning Competition
AI-ML Competition
Submission Link: https://www.xcdsystem.com/IEOM/abstract/index.cfm?ID=fXSOS1W
Registration Link: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=q1w3Mwe
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. Participants 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. Submissions 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.
Competition Chair
Dr. Heather Keathley/Dr. Gulsah Hancerliogullari Koksalmis
Global Artificial Intelligence and Data Analytics
- 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
Eligibility Criteria
- The submitter must enroll in a master’s program or be a recent graduate
- A synopsis of the thesis should be submitted
- Masters’ research must be presented at the 2025 IEOM Rabat, Morocco Conference.
IEOM Competition Rubrics
- Overall content: 1-5 points
- Data analysis and results: 1-5 points
- Presentation skills: 1-5 points
- Knowledge of the topic / confidence: 1-5 points
- Answering questions: 1-5 points
Judging
A 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.
Winners
1st, 2nd and 3rd place winners will receive award certificates.
If you have any question for the IEOM Student Competition, please contact: info@ieomsociety.org.
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.