Md Younus Ahamed

I'm a researcher in Computer Vision and Deep Learning at _____ focusing on object detection and medical image analysis. My current work explores the application of deep learning techniques for satellite detection and medical diagnostics, particularly in pediatric bone age assessment. I specialize in implementing and optimizing various deep learning architectures, with particular expertise in YOLO-based models and EfficientNet variants. My recent research has focused on developing robust detection systems for satellite and space debris identification, as well as creating accurate bone age prediction models for pediatric diagnostics using advanced neural network architectures with attention mechanisms.

I collaborate with fellow researchers to tackle challenging computer vision problems that have real-world applications. My work aims to bridge the gap between theoretical deep learning approaches and practical implementation in critical domains like space surveillance and medical diagnostics. I'm particularly interested in improving the accuracy and efficiency of automated detection and classification systems through innovative deep learning solutions.