Hayder Zghair Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Hayder Zghair's research focuses on optimizing manufacturing processes for sustainability and efficiency. His work investigates the impact of machining variables and operation conditions on sustainability manufacturing, aiming to reduce power consumption and improve overall operational efficiency. Zghair also studies the optimization of packing design for e-commerce to reduce costs and explores the resilience of global automotive industry supply chains.
In addition to manufacturing optimization, Zghair's research extends to materials science, specifically investigating the improvement of corrosion and microhardness behavior in 316L stainless steel through fiber laser surface treatment. He is also involved in engineering education, exploring approaches to develop sustainability competencies within students using the EOP framework. Zghair is a Co-Principal Investigator on a National Science Foundation (NSF) grant totaling $399,997, focused on supporting partnerships for advancement, research, and knowledge.
Metrics
- h-index: 2
- Publications: 13
- Citations: 8
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
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