Professor Selahaddin Batuhan Akben

Address:

Osmaniye Korkut Ata University, Osmaniye, Türkiye

Academic Metrics

• h-index: 12
• i-index: 13
• Total Citations: 492

Research Interests:

Professor Akben's focus spans intelligent systems, data analytics, and computational health:

• Artificial Intelligence (AI) And Deep Learning
• Biomedical Data Mining And Processing
• Optimization Algorithms
• Bioinformatics
• Image Processing

Biography:

Professor Selahaddin Batuhan Akben is a Professor specializing in the application of Artificial Intelligence (AI) and Image Processing to biomedical and optimization problems. His research expertise covers Biomedical Signal Processing, Data Mining, and advanced Optimization Algorithms. Dr. Akben is focused on developing and implementing robust, data-driven systems for diagnosis and classification, such as using Explainable Machine Learning for early disease diagnosis and utilizing deep learning models for biomedical imaging tasks. His work bridges electrical engineering and healthcare informatics.

Education Details

Professor Akben's educational background includes extensive training in core engineering disciplines:

• PhD (Electrical And Electronics Engineering): Kahramanmaraş Sütçü İmam University, Türkiye (2012).
• M.Sc. (Electrical And Electronics Engineering): Kahramanmaraş Sütçü İmam University, Türkiye (2005).
• Research Assistant: Electrical And Electronics Engineering (Kahramanmaraş Sütçü İmam University, 2002–2006).

Professional Background

His career trajectory shows continuous progression at Osmaniye Korkut Ata University:

• Professor (Current, Since Dec 2023) - Department Of Electrical And Electronics Engineering, Osmaniye Korkut Ata University.
• Associate Professor (2018–2023) - Osmaniye Korkut Ata University.

Current Research Projects

His current research efforts focus on using advanced computational models for diagnostic and smart technology solutions:

• Biomedical Imaging: Developing models (e.g., Vision Mamba) for highly accurate classification of parasites in biomedical images.
• Optimization: Investigating algorithms (e.g., Fox Optimizer) for complex, real-world problems like the optimal location determination of electric vehicle charging stations.

Academic Profiles Of Professor Selahaddin Batuhan Akben

Explore his academic and professional presence across trusted platforms:

• ResearchGate
• Google Scholar
• LinkedIn

Publications:

Professor Akben's recent publications highlight the practical application of deep learning and optimization algorithms to biomedical challenges and smart technology solutions.

The list of recent publications of Professor Selahaddin Batuhan Akben is listed below:
 

1. Yurdusever, K. C., Kablan, E. B., Akben, S. B., & Ayas, S. (2025). Parasite Classification in Biomedical Imaging Utilizing Vision Mamba. ISAS 2025 Conference Abstract.
2. Akben, S. B. & Yumrutaş, H. (2025). Optimal Location Determination of Electric Vehicle Charging Stations in Trabzon Province Using the Fox Optimizer. ISAS 2025 Conference Abstract.
3. Sünnetci, K. M., Akben, S. B., Kara, M. M., & Alkan, A. (2023). Face Mask Detection Using GoogLeNet CNN-Based SVM Classifiers. Gazi University Journal Of Science. DOI: 10.35378/gujs.1009359.
4. Akben, S. B. (2022). Early PCOS Diagnosis with Minimal Features via Explainable Machine Learning. ResearchGate.
5. Altun, S., & Alkan, A. (2023). Lumbar Spinal Stenosis Analysis with Deep Learning Based Decision Support Systems. Gazi University Journal Of Science. DOI: 10.35378/gujs.1116423.

 

Last Updated on September 30, 2025