Our research scope

Mathematical Imaging Processing We focus on developing advanced mathematical techniques to improve image quality and analysis. This involves creating algorithms for noise reduction, image enhancement, and feature extraction, which are crucial for various applications in science and technology.

Medical Imaging Processing Our work in medical imaging aims to enhance diagnostic accuracy and patient outcomes. We utilize state-of-the-art technologies to process and analyze medical images such as CT, MRI, and X-rays, striving to develop tools that assist healthcare professionals in early detection and treatment planning.

Machine Learning We apply machine learning to solve complex problems across a range of disciplines. Our research includes developing algorithms for pattern recognition, predictive modeling, and data mining, which are integral to advancements in artificial intelligence and automation.

Optimization Our optimization research focuses on finding the most efficient solutions to complex problems. This includes optimizing algorithms for speed and accuracy in computational tasks, as well as addressing real-world challenges in engineering, logistics, and resource management.