Ali Rahmani Nejad

Ali Rahmani Nejad is a researcher active in the fields of Computer Science, Biomedical Engineering, and Neuroscience. His work focuses on object recognition, medical imaging, and eye movement analysis, particularly in clinical and prosthetic vision applications.

Research Trends: His publications emphasize

• AI-driven brain tumor segmentation using multi-modal MRI data
• Enhancing prosthetic vision through synthetic viewing point generation
• Development of memory-efficient segmentation frameworks for clinical use
• Innovative applications of Krawtchouk moments in image retrieval
• Automated gaze event classification in natural viewing conditions

Collaborations: He collaborates with institutions like the Donders Institute for Brain, Cognition and Behaviour and contributes to the Data Science Center in Health (DASH) program at UMCG. His work aligns with UN Sustainable Development Goals, particularly in health and technology.