Muhammad Sajjad H.

I have experience in face recognition, c# window forms application, c++ applications, c# games, sql databases, implementation of image processing algorithms in opencv also in emguCV and matlab, packet tracer in networking. A dedicated researcher focusing on Deep Learning, Computer Vision, and its application in medical image analysis. My research aims to leverage deep learning techniques for analyzing and interpreting medical images, with the goal of improving diagnostic accuracy, enabling early disease detection, and enhancing personalized healthcare. I have research experience in medical image analysis, computer-aided diagnosis, pattern recognition. I have worked as a research associate with Dr. Umer Asgher for two years. Under his kind supervision, I have completed various projects related to machine learning, deep learning, and big data analytics. Currently, I have completed my thesis titled 'Enhanced Segmentation of Colorectal Polyp using the Deep Learning NanoNetB algorithm and Conditional Random Field Test-Time Augmentation' under his guidance.