Department of Machine Learning

About Department of Machine Learning

The department of machine learning at Sino-Pak Center for Artificial Intelligence (SPCAI) focuses on the applications of Artificial Intelligence (AI) in different areas, including computer vision, deep learning, and neural networks, to present a unified treatment of machine learning problems and solutions. The machine learning-based solutions can lead to new products and services across different impact areas, including (but not limited to) high-level video analysis, natural language processing, traffic monitoring, safety management, video surveillance, medical imaging, and industrial vision. The department of machine learning has a mission to coordinate with other departments at SPCAI and the department of IT and Computer Science in artificial intelligence, safety and security, intelligent infrastructure, smart health and biosciences, and intelligent systems design.

The scientific vision of the machine learning department is to achieve excellent standards of quality research and education by using the latest tools, nurturing a collaborative culture, and disseminating customer-oriented innovations to relevant areas of academia and industry for serving the more significant cause of society. The department of machine learning focuses on playing an important role in various national and international research activities. The department offers MS (AI) program approved by the Higher Education Commission starting from the fall 2021 semester. In addition, the department promotes outreach and educational activities in deep learning and computer vision by organizing workshops, summer school, and short courses. The department of machine learning comprises computer vision and deep learning laboratories.

Degree Programs Offered

Faculty of Machine Learning


Professor & Dean

Ph.D. in Computer Science

Fida Younus Khattak

Professor of Practice SPCAI

Ph.D. in Laser Plasma Physics

Dr. Sohail Khan

Senior Faculty

Ph.D. in Electrical Engineering

Dr. Waqar Mehmood

Associate Professor

Ph.D. in Software Engineering

Dr. Maqbool Khan

Assistant Professor

Ph.D. in Computer Science & Technology

Dr. Muhammad Mohsin Khan

Assistant Professor

Ph.D. in Electronic Engineering

Strengths & Features

International-Quality Training

The teaching faculty are being hired through a highly competitive process, involving active expert assessment by partner universities abroad. For the implementation of the Fachhochschule model of education, faculty members of the institute, with PhDs from premier foreign universities, will attend at the partner universities in Austria and China intensive training related to specific pedagogical and managerial skills.

The Technology Park

The PAF-IAST programs are closely integrated with a parallel program for the development of technology-driven enterprises. For the holistic achievement of the concept, it is necessary to dovetail the institute’s educational infrastructure with a corresponding and compatible growth in the high-technology industry in tandem. To meet this critical need, PAF-IAST has a sound plan in place to build on its state-of-the-art campus an Innovation Technology Park. To boost innovation, every faculty member, trained in Austria and China, will be offered an average grant of USD 50,000 for developing new projects in the Innovation Park. A sum of 10 million USD has already been set aside for this purpose. The new projects, which will be implemented largely in collaboration with scientists of Austrian and Chinese partner universities, could potentially lead to joint patenting and industrial production.

Equivalence with Standards in the Developed World

To ensure quality, subject to the approval of accreditation bodies of Pakistan and the partner universities in Austria and China, double degrees will be awarded to students. The collaborator universities will be responsible to ensure that the teaching and research programs at PAF-IAST, in all essentials, are equivalent to theirs. Equivalence will be achieved by following identical syllabi, laboratory experiments, and assessment mechanisms. For maintenance of requisite standards, the accreditation agency in the partner country shall be involved to assess at regular intervals the quality of instruction at PAF-IAST. The equivalence of degrees will be the key determinant that the graduates of PAF-IAST have acquired education of international standards comparable to that of the graduates from the collaborator universities in Austria or China. In other words, there shall be no quality gap between the Pakistani graduate engineers and the engineers who graduated from the partner universities. Eventually, equivalence will be demonstrated, recognized, and accepted by all stakeholders in the program in those degrees of the collaborator institutions will be awardable to all such graduates as can qualify the academic standards set forth by the relevant accreditation councils.

Faculty Development

Under the HRD program, during phases 1, 2, and 3, around 200 faculty members will be trained in Austria/China for periods of up to 6 months. Those holding M S/MPhil or equivalent degrees will be sent to technical universities in Austria and China on 4-year Ph.D. programs in relevant disciplines.

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