RIMNI Special Issue - Numerical Algorithms and Computational Modeling for AI-IoT Integration in Biomedical Engineering

Deadline Date: 30 September 2026

This Special Issue addresses the critical need for robust numerical frameworks in the rapidly evolving field of bioengineering. While Artificial Intelligence (AI) and the Internet of Things (IoT) have significantly advanced biomedical diagnostics, the engineering challenges surrounding numerical stability, algorithmic innovation, and computational model efficiency remain underrepresented in current medical literature. This issue shifts the focus from purely clinical outcomes to the underlying engineering implementations.

We invite contributions that explore novel numerical algorithms for high-resolution medical imaging reconstruction, computational models for massive IoT-driven biomedical datasets, and the stability analysis of deep learning architectures in safety-critical diagnostic environments. By prioritizing optimization strategies and hardware-software co-design, this Special Issue seeks to provide a definitive platform for the engineering community to solve the technical bottlenecks hindering the real-time deployment of AI in modern medicine.

Deadline Date: 30 September 2026

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Assoc. Prof. Dr. Abdullahi Umar Ibrahim Email Website

Affiliation: Biomedical Engineering, Near East University, Mersin 10, Turkey

Research Interests: AI in Biomedicine, Genetic Engineering, Modelling of Biological Systems, System Design in Bioengineering

Prof. Dr. Fadi Al-Turjman Email Website

Affiliation: AI, Data Analytics, and Software Engineering Departments, AI and IoT research center, AI and Informatics Faculty, Near East University, Mersin 10, Turkey

Research Interests: Artificial Intelligence (AI), Internet of Things (IoT), Information Systems, Software Engineering.

Prof. Dr. Mehmet Özsöz Email Website

Affiliation: Biomedical Engineering, Near East University, Mersin 10, Turkey

Research Interests: Numerical optimization for biosensors, AI-driven diagnostics, CRISPR-based computational models

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Deadline Date: 30 September 2026

ISSN: ISSN 1886-158X (online version) - ISSN 0213-1315 (printed version)

Licence: Creative Commons BY-NC-SA license

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