Research

Research Interests

My primary research interests lie in developing innovative computational methods for medical image analysis, with a focus on deep learning architectures, metaheuristic optimization algorithms, and their applications in healthcare informatics. I am particularly interested in bridging the gap between advanced AI techniques and clinical practice to improve diagnostic accuracy and patient outcomes.

Core Research Areas

Image Processing

• Medical image analysis
• Multi-modal image analysis
• 3D image processing and volumetric analysis
• Video analysis and temporal processing
• Image enhancement and feature extraction
• Computer-aided diagnosis systems

Deep Learning

• Vision Transformers for medical imaging
• Convolutional Neural Networks (CNNs) for disease diagnosis
• Deep learning architectures for 3D medical data
• Transfer learning and domain adaptation in healthcare
• Visual Language models (VLMs)

Medical Imaging

• Alzheimer’s disease diagnosis from MRI
• Disease progression models for neurodegenerative disorders
• Cardiovascular disease detection
• Brain imaging analysis
• Disease progression modeling

Metaheuristic Optimization

• Battle Royale Optimizer (BRO) - novel optimization algorithm
• Multi-objective optimization
• Evolutionary algorithms for image processing
• Optimization of neural network hyperparameters

For a complete list of publications, please visit my Google Scholar profile or browse the Publications page.