Mustafa Madni obtained his B.S. in Computer Science from COMSATS University Islamabad (CUI) and an M.S. in Interactive System Engineering from the Royal Institute of Technology, KTH in Stockholm, Sweden. He pursued his Ph.D. in Computer Science with a focus on Human-Computer Interaction at the University of Technology PETRONAS in Perak, Malaysia. Currently, he serves as an Assistant Professor in the Computer Science department at CUI.
Mr. Madni's research primarily centers around interactive systems, human-computer interaction, ubiquitous computing, AI, and deep learning. He is actively involved in teaching undergraduate courses and graduate courses on Human-Computer Interaction and Computer Vision. Additionally, his responsibilities include supervising undergraduate final-year projects, guiding MS research, participating in final-year project assessment, serving on graduate evaluation committees, reviewing research papers, and more.
Furthermore, he is part of the Medical Imaging and Diagnostics Lab (MIDL) at CUI, which is an integral part of the National Center of Artificial Intelligence (NCAI) and is valued at $642,000 USD. MIDL possesses a wealth of human expertise and dedicated hardware resources, particularly in the field of Artificial Intelligence, Machine Learning (with a focus on Deep Learning), and Computer Vision techniques. Currently, MIDL developed a complete computer-assisted diagnosis system, including brain tumor detection from MRI, breast cancer identification from mammograms, and tuberculosis diagnosis from chest X-rays.