Md Farhan Shahrior Source Confirmed

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

Researcher

University of Arkansas at Little Rock

unknown

2 h-index 2 pubs 13 cited

Research Areas

Advanced Neural Network Applications Technology Adoption and User Behaviour AI in cancer detection Natural Language Processing Techniques

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OverviewAI-generated summary

Md Farhan Shahrior's research focuses on the integration of machine learning applications within industrial automation, particularly concerning digital twins and edge artificial intelligence (AI). His work explores how these technologies can enable more intelligent and efficient industrial processes. Shahrior has co-authored publications with Kamran Iqbal, Ali A. Abushaiba, and Mohammad Rahman, all affiliated with the University of Arkansas at Little Rock, indicating a collaborative research environment. His scholarly output includes two publications, with a total of 13 citations and an h-index of 2, demonstrating recent engagement in academic discourse.

Metrics

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

Selected Publications

  • Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025) DOI
  • Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025) DOI

Collaborators

Researchers in the database who share publications

Kamran Iqbal University of Arkansas at Little Rock 2 shared publications Ali A. Abushaiba University of Arkansas at Little Rock 2 shared publications Mohammad Rahman University of Arkansas at Little Rock 2 shared publications

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