The Department of Computer Science & IT at the University of Kamalia is established with a vision to nurture talented individuals and equip them with modern computing knowledge, technical expertise, and professional skills required in today’s digital world.
The department aims to produce competent graduates capable of leading rapidly evolving technological environments through innovation, critical thinking, and ethical values. Academic and research activities are carried out by qualified and dedicated faculty members with diverse experience across multiple areas of computer science.
Industry engagement is a core component of our teaching philosophy. Students participate in internships, workshops, seminars, industrial visits, and collaborative projects that enhance practical learning and professional exposure.
The department actively contributes to research, consultancy services, and national-level projects, supporting both public and private sector organizations. Through continuous improvement and strong industry collaboration, the department strives to prepare graduates who can contribute effectively to technological advancement and socio-economic development.
Dr. Ali Raza is an accomplished academic and researcher currently serving as Assistant Professor of Computer Science and IT at the University of Kamalia (UKM). He holds a Ph.D. in Computer Science from MY University, Islamabad with specialization in Natural Language Processing (NLP), focusing on Fake News Detection and Temporal Information Retrieval, along with an MS in Software Engineering.
Muhammad Imran is an AI professional with expertise in Machine Learning (ML), Deep Learning (DL), and Big Data Analytics. He combines strong technical knowledge with valuable administrative and management experience gained through his work in higher education institutions. His interests include developing intelligent systems, analyzing large-scale data, and applying emerging technologies to solve real-world problems. He is committed to innovation, research, and continuous professional growth in the field of Artificial Intelligence.
Abdul Noman holds an MS degree in Computer Science with specialization in Blockchain Technology. His research focused on consensus mechanisms, analyzing their security, efficiency, and scalability in decentralized networks. His academic interests include blockchain systems, distributed computing, and emerging digital technologies. He is dedicated to fostering innovation, critical thinking, and research-oriented learning in the field of computer science.
Ateeq Ur Rehman Butt is a Lecturer (Computer Science & Information Technology), BPS-18, at the University of Kamalia, Punjab, Pakistan. He holds a BS (Hons) in Information Technology (University of Education, Lahore) and an MS in Computer Science (National Textile University, Faisalabad), where he is also pursuing a PhD in Computer Science. He has authored one Computer Science book for Matric students and has published 17 research papers (including ACM/IEEE venues) along with two book chapters. He also serves as a reviewer for multiple journals, including IEEE Access, Scientific Reports, PeerJ Computer Science, and others. His research interests include AI, machine learning, image processing, IoT, software engineering, and big data analytics.
Mr. Mehboob Qasim is serving as a Lecturer in the Department of Computer Science and Information Technology at the University of Kamalia. He earned his Master of Science in Computer Science from Government College University Faisalabad, where he specialized in advanced research on Dual-Channel 3D Facial Expression Recognition Systems, reflecting his strong interest in artificial intelligence, computer vision, and emerging computing technologies.
Ali Raza is a Lecturer in Computer Science and Information Technology at the University of Kamalia. He holds a Master of Science in Computer Science from Riphah International University, Faisalabad Campus. He is also a Gold Medalist of the Punjab Board of Technical Education, Lahore, in the Diploma of Associate Engineering (DAE) in Computer Information Technology 2011-2014.He has a strong academic background and a solid foundation in computing, with a focus on delivering quality education and enhancing students’ practical and theoretical understanding in the fields of Computer Science and Information Technology.
Muhammad Salim is a Lecturer in the Department of Computer Science & IT. He holds an MS in Computer Science from Government College University Faisalabad. His primary interest lies in programming and Artificial Intelligence, with a research focus on Machine Learning and Deep Learning. He is passionate about applying modern AI techniques to solve real-world problems and is committed to equipping students with practical skills and a strong analytical mindset for the evolving tech industry.
Muhammad Usman is a Lecturer in Computer Science & IT, holding an MSCS degree with a Silver Medal. He has over seven years of IT industry experience, bringing valuable practical knowledge into the classroom. He holds professional certifications including CCNA, CCNP, and HCNA. As a lecturer, he is committed to mentoring students of CS and IT, fostering a strong foundation in both theoretical and applied computing. His research interests include AI-based network automation, network optimisation and cybersecurity, reflecting his focus on integrating intelligent systems with modern networking practices.
Dr. Nadeem Abbas, Professor with a PhD in Software Engineering from Linnaeus University, specializes in software development methodologies, system architecture, and emerging technologies. His academic and research contributions aim to bridge the gap between theory and practice in modern software engineering.
Dr. Muhammad Taimoor Khan, Professor at the University of Greenwich, is an expert in software, system, and AI security. With deep knowledge in cybersecurity and artificial intelligence, he empowers students to tackle complex challenges in securing modern digital systems.
Dr. Muhammad Asif Habib, Professor at Al Imam Mohammad Ibn Saud Islamic University, brings expertise in computer networks and blockchain technologies. His research and teaching focus on building secure, scalable, and efficient networked systems for the digital era.
