Hayder Zghair
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: American Society For Engineering Education (2024); Pennsylvania State University (2024); University of Baghdad (2017); Lawrence Technological University (2017–2024); Kettering University (2017–2024); Universidad de Oriente (2024); Southern Arkansas University Tech (2024–2025); Oceaneering International (United States) (2024)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Hayder Zghair's research interests encompass the optimization of manufacturing processes, supply chain resilience, and the application of artificial intelligence across various domains. He has investigated methods for improving the sustainability of subtractive manufacturing operations through power consumption optimization and machining variable adjustments. His work also extends to enhancing the resilience of global automotive supply chains.
Zghair has explored the use of artificial intelligence for optimizing packing designs in e-commerce and for improving mental health and operational readiness. He has also examined the integration of blockchain technology with ERP systems for engineering and asset management. Additionally, his research includes an engineering education approach focused on developing sustainability competencies using the EOP framework.
His scholarly contributions include publications on topics such as AI applications, materials science, and engineering education. Zghair is a Co-Principal Investigator on a National Science Foundation grant titled "Collaborative Research: EPIIC: Supporting Partnerships for Advancement, Research, and Knowledge (SPARK)" which received $399,997 in funding. He collaborates with researchers at Southern Arkansas University, including Jeffrey Sumner and Noah Bretz.
Metrics
- h-index: 2
- Publications: 13
- Citations: 10
Selected Publications
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Data-Driven AI Models for Enhancing Mental Health and Operational Readiness (2025)
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Enhancing ERP Systems with Blockchain for Engineering and Asset Management (2025)
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Engineering Education Approach to Develop Sustainability Competencies Using EOP Framework (2025)
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Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce (2025)
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Corrosion and Microhardness Behavior Improvement of 316L Stainless Steel via Fiber Laser Surface Treatment (2024)
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Operation Conditions Empirical Optimization for Sustainability Manufacturing (2024)
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Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning (2024)
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Loading-Unloading Simulation Model for System of Manufacturing (2023)
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Inflow-Outflow Net Equivalents for Recovery Point Analysis of Improvement Model (2023)
Federal Grants 1 $399,997 total
Collaboration Network
Top Collaborators
- Inflow-Outflow Net Equivalents for Recovery Point Analysis of Improvement Model
- Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning
- Operation Conditions Empirical Optimization for Sustainability Manufacturing
- Operation Conditions Empirical Optimization for Sustainability Manufacturing
- Corrosion and Microhardness Behavior Improvement of 316L Stainless Steel via Fiber Laser Surface Treatment
- Corrosion and Microhardness Behavior Improvement of 316L Stainless Steel via Fiber Laser Surface Treatment
- Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce
- Enhancing ERP Systems with Blockchain for Engineering and Asset Management
- Enhancing ERP Systems with Blockchain for Engineering and Asset Management
- Data-Driven AI Models for Enhancing Mental Health and Operational Readiness
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