Saqib Qamar

As a Postdoc, I analyze biomedical microscopic data using a Deep Learning approach. I strive to develop automated systems capable of processing and interpreting complex biomedical imaging data.

In my area of expertise, I completed a Ph.D. degree from Huazhong University of Science and Technology (HUST), China. My research journey at HUST involved the analysis of Medical Data such as MRI and CT using Deep Learning. My research interests lie in Machine Learning and Computer Vision, focusing on biologically inspired computation. Still, I am not limited to it as I have experience working with other image data. During my Ph.D. studies, I developed novel algorithms and models for solving complex problems in this domain. Before my position at KTH, I was a postdoc at Umeå University, Sweden, and an Assistant Professor at the Department of Computer Applications at MITS, India. During my time there, I had the privilege to impart knowledge and guide students in the field of computer science.

My main aim is to use artificial intelligence and computer vision technology to better understand complex visual data like images and videos. By doing this, I hope to help develop new applications and solutions that can benefit society in various fields.