Dr. Ibrahim Albariqi
Ph.D. in Systems Engineering | Oakland University
Ibrahim Albariqi earned his Ph.D. in Systems Engineering at Oakland University under Mohamed Zohdy. His research develops machine learning decision support for selecting suppliers based on operational performance, resilience and sustainability. His related conference work examines supply-chain integration and business performance in Saudi small and medium-sized enterprises.
Doctoral research (2026): Decision Support System for Resilience-Sustainable Supplier Selection Using Machine Learning
Research & Publications
2 verified research records · Newest first
Selected publications and doctoral research records. This list may not include every publication.
Decision Support System for Resilience-Sustainable Supplier Selection Using Machine Learning
View Doctoral Record ↗Start here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
The Relationship Between Supply Chain Integration and Business Performance in Saudi SMEs
View Publication ↗Start here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
No publications match your search.