Shake Ibna Abir Source Confirmed

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

Researcher

Arkansas State University

faculty

8 h-index 13 pubs 110 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Health disparities and outcomes AI in cancer detection Neurological disorders and treatments Dermatology and Skin Diseases Technology Adoption and User Behaviour

Links

Lab Website

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OverviewAI-generated summary

Shake Ibna Abir's research focuses on the application of machine learning and deep learning techniques to address complex problems across various domains. A significant portion of this work involves medical imaging, specifically in the classification and detection of diseases such as skin lesions and brain tumors, utilizing advanced convolutional architectures and neural networks. Abir also investigates the use of predictive machine learning for analyzing health risks and disease transmission patterns, including in undocumented immigrant populations.

Further research extends to the intersection of artificial intelligence, financial accessibility, and environmental sustainability, examining their influence on factors like load capacity and ecological footprints in different economic regions. Abir's scholarly contributions are reflected in a h-index of 8 and over 13 publications. Collaborations include nine shared publications with Shaharina Shoha from Arkansas State University.

Metrics

  • h-index: 8
  • Publications: 13
  • Citations: 110

Selected Publications

  • Utilization of Feature Fusion in Diagnostic Applications (2025) DOI
  • Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach (2025) DOI
  • Advancing Neurological Disease Prediction through Machine Learning Techniques (2025) DOI
  • EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia (2025) DOI
  • Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures (2024) DOI
  • Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation (2024) DOI

Collaborators

Researchers in the database who share publications

Shaharina Shoha Arkansas State University 9 shared publications

Similar Researchers

Based on overlapping research topics

Shaharina Shoha Arkansas State University
Medical Imaging Techniques and Applications Advanced Neural Network Applications AI in cancer detection
Good match 5 shared topics
Rajanand Rajagopalan University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications AI in cancer detection
Good match 3 shared topics
Shaozheng Jin University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications AI in cancer detection
Good match 3 shared topics
Aaron Bright University of Arkansas – Fort Smith
Medical Imaging Techniques and Applications Advanced Neural Network Applications Health disparities and outcomes
Good match 4 shared topics
Shih University of Arkansas for Medical Sciences
Advanced Neural Network Applications Health disparities and outcomes Dermatology and Skin Diseases
Good match 4 shared topics
Giridhar Dasegowda University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications Advanced Neural Network Applications AI in cancer detection
Good match 4 shared topics