Syed M Rahman
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Professor
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Dr. Syed M Rahman's research interests are concentrated in the areas of cybersecurity, technology adoption, and the application of statistical and computational models to biological data. He has investigated factors influencing user behavior related to technology, including intention to use IoT-enabled devices, end-user antivirus usage, and smartphone security measures, drawing upon theories such as Protection Motivation Theory. His work also extends to understanding the effectiveness of security culture, top management support, and training on security outcomes.
In parallel, Dr. Rahman applies advanced computational techniques to biological and genomic data. He has developed and utilized graphical models, including Gaussian directed acyclic graphs, to infer network structures and understand allelic effects in genomic prediction. Applications of this work include analysis in dairy cattle populations. His scholarly output includes over 100 publications, with an h-index of 13 and more than 500 citations.
Beyond his research, Dr. Rahman has extensive experience in higher education, including over 18 years of teaching at undergraduate and graduate levels. He has served as a dissertation chair for 15 Ph.D. graduates and on numerous other dissertation committees. He also holds editorial roles for academic journals and serves as a reviewer for conferences and journals. His outreach activities include collaborations with local educational institutions to foster cybersecurity career pathways.
Metrics
- h-index: 13
- Publications: 114
- Citations: 533
Selected Publications
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CFCT: A Framework Using ConvNeXt With FPN, CBAM and A Topology Enhanced Loss Function for Skin Lesion Segmentation (2026)
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Skin Lesion Segmentation Using Unet With A Topology Term in Loss Function (2025)
Collaboration Network
Top Collaborators
- Skin Lesion Segmentation Using Unet With A Topology Term in Loss Function
- CFCT: A Framework Using ConvNeXt With FPN, CBAM and A Topology Enhanced Loss Function for Skin Lesion Segmentation
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