I am an Artificial Intelligence researcher with a Ph.D. in Computer Engineering. My research focuses on computational intelligence, machine learning, metaheuristic optimization, and applications of AI in healthcare and engineering.

• Metaheuristic optimization and swarm intelligence
• Machine learning and feature selection
• Medical AI and clinical decision-support systems
• Explainable Artificial Intelligence
• Engineering optimization

• R-GWO: Representative-Based Grey Wolf Optimizer
• BE-GWO: Binary Extremum-Based Grey Wolf Optimizer
• CNJSO: Conscious Neighborhood-Based Jellyfish Search Optimizer
• B-MFO: Binary Moth-Flame Optimization for medical feature selection
• Lung-cancer survival prediction using feature selection and classification methods

• Programming: MATLAB, Python, SQL
• Machine learning: scikit-learn, classification, clustering, feature selection
• Research areas: optimization, data mining, medical AI
• Currently learning: PyTorch, TensorFlow, Explainable AI

I am interested in developing optimization-assisted machine-learning methods for medical prediction, feature selection, and intelligent decision-support systems.

1. R-GWO: Representative-Based Grey Wolf Optimizer for Solving Engineering Problems
   Applied Soft Computing, 2021

2. BE-GWO: Binary Extremum-Based Grey Wolf Optimizer for Discrete Optimization Problems
   Applied Soft Computing, 2023

3. B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets
   Computers, 2021

4. Conscious Neighborhood-Based Jellyfish Search Optimizer for Solving Optimal Power Flow Problems

• Google Scholar
• ORCID
• ResearchGate
• LinkedIn