Mohammad Rahman

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

PhD Candidate

UA Little Rock

Also affiliated: Federation University (2024–2025); Mymensingh Medical College Hospital (2007–2020)

Graduate Student Researcher

2 h-index 8 pubs 16 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Mohammad Rahman's research focuses on the application of machine learning and deep learning techniques, particularly within the domain of hyperspectral imaging and industrial automation. His recent work includes a review of machine learning applications integrated with digital twin and edge AI for intelligent industrial automation. He has investigated data-efficient deep learning algorithms for hyperspectral band selection, such as BSDR, which utilizes discrete relaxation. Rahman has also explored adaptive downsampling of hyperspectral bands for applications like soil organic carbon estimation, and addressed limitations in attention-based hyperspectral band selection algorithms. He collaborates with researchers at the University of Arkansas at Little Rock, including Kamran Iqbal, Ali A. Abushaiba, and Md Farhan Shahrior, with whom he has co-authored multiple publications. His scholarly output includes 9 publications with 31 citations and an h-index of 4.

Metrics

h-index: 2
Publications: 8
Citations: 16

Selected Publications

Reinforcement Learning-based Control in DC-DC Converters: A Survey (2025)

DOI OpenAlex
Comparative Evaluation of DC–DC Converter Topologies for Electric Vehicle Chargers (2025)

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

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

7 citations DOI OpenAlex