Ahmad Al Shami Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor / Computer Science
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Biography and Research Information
OverviewAI-generated summary
Ahmad Al Shami, an Associate Professor at Southern Arkansas University, focuses his research on the application of machine learning and computer vision techniques to address contemporary challenges. His work includes the development of systems for crowd monitoring and social distancing, as demonstrated in his "CrowdTracing" publications. Al Shami also investigates the use of advanced computational methods in medical image analysis, including Vision Transformers for classification tasks and modified topological preprocessing for skin lesion segmentation. His research extends to the application of machine learning in predicting social media use among journalists and the modification of AMBER Alerts systems using TinyML. Al Shami has co-authored one publication with collaborator Christian Young.
Metrics
- h-index: 5
- Publications: 18
- Citations: 55
Selected Publications
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Persistent Homology and Segment Anything Model for Automated Zero-Shot Localized Medical X-ray Images Segmentation (PH-SAM) (2025)
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Predicting the level of social media use among journalists: machine learning analysis (2024)
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Modified AMBER Alerts System Using TinyML Processing (2023)
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Vision Transformers for Medical Images Classifications (2022)
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CrowdTracing: Overcrowding Clustering and Detection System for Social Distancing (2021)
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CrowdTracing: Overcrowding Clustering and Detection System for Social Distancing (2021)
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CrowdTracing: Overcrowding Clustering and Detection System for Social Distancing (2021)
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