Mohammad Rahman Source Confirmed

OverviewAI-generated summary

Mohammad Rahman investigates the application of machine learning and deep learning techniques in industrial automation and hyperspectral imaging. His recent work includes a review of machine learning applications with digital twin and edge AI integration for intelligent industrial automation. Rahman has also focused on developing data-efficient deep learning algorithms for hyperspectral band selection, specifically for applications such as soil organic carbon estimation. He has explored methods to address limitations in existing attention-based hyperspectral band selection algorithms. Rahman's research network includes collaborators such as Kamran Iqbal, Ali A. Abushaiba, and Md Farhan Shahrior from the University of Arkansas at Little Rock, with whom he has co-authored multiple publications. His scholarly output is reflected in an h-index of 4 and 26 total citations across 8 publications.

Metrics

• h-index: 4
• Publications: 8
• Citations: 26