Md Farhan Shahrior Data-verified

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

Researcher

Last publication 2025 Last refreshed 2026-05-16

unknown

2 h-index 2 pubs 27 cited

Research Areas

OverviewAI-generated summary

Md Farhan Shahrior's research focuses on the integration of machine learning, digital twins, and edge artificial intelligence (AI) to enhance industrial automation. His work involves reviewing and analyzing applications of these technologies within industrial settings, aiming to enable more intelligent and efficient automated systems. Shahrior has published two articles on this subject in 2025. His scholarly contributions are supported by collaborations with researchers at the University of Arkansas at Little Rock, including Kamran Iqbal, Ali A. Abushaiba, and Mohammad Rahman, with whom he shares multiple publications. Shahrior's academic profile includes a total of two publications and 17 citations, with an h-index of 2.

Metrics

h-index: 2
Publications: 2
Citations: 27

Selected Publications

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

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

8 citations DOI OpenAlex