Ahmad Al Shami Source Confirmed

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

Associate Professor / Computer Science

Southern Arkansas University

faculty

5 h-index 18 pubs 53 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Computer Graphics and Visualization Techniques Technology Adoption and User Behaviour Natural Language Processing Techniques AI in cancer detection Radiomics and Machine Learning in Medical Imaging

Links

ORCID

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OverviewAI-generated summary

Ahmad Al Shami's research interests include the application of machine learning and computer vision techniques to diverse areas. His work has focused on developing systems for crowd detection and social distancing, as demonstrated by his publications on the CrowdTracing system. Al Shami has also investigated the use of advanced neural network architectures, such as Vision Transformers, for medical image classification, including applications in analyzing skin lesions and segmenting medical X-ray images. His research extends to predicting social media usage patterns among journalists using machine learning. Additionally, Al Shami has explored modifications to existing systems, such as the AMBER Alerts system, incorporating TinyML processing for improved functionality. He has one shared publication with collaborator Christian Young from Southern Arkansas University.

Metrics

  • h-index: 5
  • Publications: 18
  • Citations: 53

Selected Publications

  • Persistent Homology and Segment Anything Model for Automated Zero-Shot Localized Medical X-ray Images Segmentation (PH-SAM) (2025) DOI
  • Predicting the level of social media use among journalists: machine learning analysis (2024) DOI
  • Modified AMBER Alerts System Using TinyML Processing (2023) DOI
  • Vision Transformers for Medical Images Classifications (2022) DOI
  • CrowdTracing: Overcrowding Clustering and Detection System for Social Distancing (2021) DOI
  • CrowdTracing: Overcrowding Clustering and Detection System for Social Distancing (2021) DOI
  • CrowdTracing: Overcrowding Clustering and Detection System for Social Distancing (2021) DOI

Collaborators

Researchers in the database who share publications

Christian Young Southern Arkansas University 1 shared publication

Similar Researchers

Based on overlapping research topics

Trong-Thuan Nguyen University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications Computer Graphics and Visualization Techniques
Strong match 5 shared topics
Nidhi Gupta University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications Computer Graphics and Visualization Techniques
Strong match 5 shared topics
Giridhar Dasegowda University of Arkansas for Medical Sciences
Advanced Neural Network Applications Medical Imaging Techniques and Applications Technology Adoption and User Behaviour
Strong match 5 shared topics
Trong Thang Pham University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications Natural Language Processing Techniques
Good match 5 shared topics
Tara O’Neill University of Arkansas at Fayetteville
Advanced Neural Network Applications Computer Graphics and Visualization Techniques Technology Adoption and User Behaviour
Good match 4 shared topics
Sachin Bhandari Arkansas Tech University
Advanced Neural Network Applications Medical Imaging Techniques and Applications Natural Language Processing Techniques
Good match 5 shared topics