Summary
Saqib Qamar is an Assistant Professor and researcher with a Ph.D. in Computer Science and eight years of international experience applying deep learning and computer vision to medical imaging challenges. His postdoctoral work at KTH and Umeå University advanced AI-driven diagnostics across tasks from infant brain segmentation to bacterial classification, reflecting a strong track record of translational biomedical research. Based in Sohar, Oman, he teaches and mentors students in AI, ML, and data science while leading projects on MRI/CT analysis, multi-modal learning, and pattern recognition. Comfortable moving between academic rigor and real-world healthcare problems, he combines statistical training with hands-on deep learning expertise to bridge method development and clinical impact. An educator who has worked across India, China, Sweden, Germany, and Oman, he brings a global perspective that informs collaborative, multidisciplinary research.
8 years of coding experience
2 years of employment as a software developer
Master of Computer Applications (M.C.A.), Computer Science & Application, Master of Computer Applications (M.C.A.), Computer Science & Application at Aligarh Muslim University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Huazhong University of Science and Technology
English, Hindi, Urdu