Hayder Zghair Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Southern Arkansas University

faculty

2 h-index 13 pubs 7 cited

Research Areas

Engineering Education and Pedagogy Quality and Supply Management Advanced Neural Network Applications Metal and Thin Film Mechanics Innovative Teaching and Learning Methods Robotics and Sensor-Based Localization AI in cancer detection

Links

ORCID Lab Website

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OverviewAI-generated summary

Hayder Zghair's research focuses on optimizing manufacturing processes and supply chain operations, with an emphasis on sustainability and cost reduction. His recent work investigates the use of Artificial Intelligence for optimizing packing design in e-commerce to reduce costs. He also studies the improvement of material properties, such as the corrosion and microhardness of 316L stainless steel through fiber laser surface treatment.

Zghair's research extends to the optimization of machining variables, power consumption, and operational conditions for sustainable subtractive manufacturing. He has also explored the resilience of global automotive industry supply chains. In the realm of engineering education, he has investigated approaches to develop sustainability competencies using the EOP framework and analyzed multiple setups for industrial robotic operations. He is currently a Co-PI on a National Science Foundation grant, "Collaborative Research: EPIIC: Supporting Partnerships for Advancement, Research, and Knowledge (SPARK)," totaling $399,997.

Metrics

  • h-index: 2
  • Publications: 13
  • Citations: 7

Selected Publications

  • Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce (2025) DOI
  • Corrosion and Microhardness Behavior Improvement of 316L Stainless Steel via Fiber Laser Surface Treatment (2024) DOI
  • Operation Conditions Empirical Optimization for Sustainability Manufacturing (2024) DOI
  • Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning (2024) DOI
  • Loading-Unloading Simulation Model for System of Manufacturing (2023) DOI
  • Inflow-Outflow Net Equivalents for Recovery Point Analysis of Improvement Model (2023) DOI

Federal Grants 1 $399,997 total

NSF Co-PI

Collaborative Research: EPIIC: Supporting Partnerships for Advancement, Research, and Knowledge (SPARK)

EPIIC-Enbl Part Incr Innov Cap $399,997

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