Md Farhan Shahrior
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Researcher
Unknown Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Md Farhan Shahrior's research focuses on the integration of machine learning with digital twin and edge artificial intelligence technologies to advance intelligent industrial automation. His work, as evidenced by his 2025 publications, explores the application of these technologies within industrial contexts. Shahrior has a h-index of 2, with 2 publications and 37 citations. He has collaborated with Kamran Iqbal and Ali A. Abushaiba, both from the University of Arkansas at Little Rock, on two shared publications each.
Metrics
- h-index: 2
- Publications: 2
- Citations: 43
Selected Publications
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Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025)
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Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025)
Collaboration Network
Top Collaborators
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
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