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MD ARIFUL ISLAM MOZUMER

Department of Digital Anti Aging Healthcare · Inje University

https://researchid.co/2020b257
@ai-sclab.com
34Scopus Publications
1225Google Scholar Citations
15Google Scholar h-index
23Google Scholar i10-index

Biography

Ariful (me) is a PhD (all but dissertation) in artificial intelligence with a specialization in medical image analysis and AI-driven healthcare systems. Artificial Intelligence at Inje University, Republic of Korea, where his research focused on developing advanced deep learning models for cancer diagnosis using multimodal biomedical data. My work primarily centers on computational pathology, including whole slide image (WSI) analysis, tumor detection, and multimodal learning by integrating imaging and clinical information. During my PhD, I did 3 AI manufacturing projects for Korean manufacturing companies. Ariful’s research interests extend to emerging areas such as federated learning, privacy-preserving AI, and agentic AI systems for healthcare, with the goal of building scalable and trustworthy solutions for real-world clinical deployment. I am a current committee member of 3 IEEE conferences.

Education

PhD - Major AI in Healthcare, Inje University, Republic of Korea. Masters of Science - Major AI, Inje University, Republic of Korea. Bachelor of Science in Computer Science & Engineering, World University of Bangladesh, Dhaka, Bangladesh.

Recent Scopus Publications

  1. KFYO: Fusing vision and biomechanics for accurate pitch evaluation in real-time baseball using deep learning techniques
    Heliyon, 2026
  2. APB-FLDPA: Adaptive Personalized Blockchain-Federated Learning With Differential Privacy and Attention for Privacy-Preserving Healthcare Analytics
    Healthcare Technology Letters, 2026
  3. Integrating Auditing and Inspection into Metaverse-Based Healthcare and Pharmaceutical Supply Chains
    International Conference on Advanced Communication Technology Icact, 2026
  4. MedAttnNet: A Novel Architecture for Precise Brain Cancer Classification
    Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025, 2025
  5. Skin Cancer Detection using Transfer Learning Models and Ensemble Approach to Enhanced 1 Diagnostic1 Accuracy 1
    International Conference on Advanced Communication Technology Icact, 2025

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