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Research

The Department of Artificial Intelligence has been established under the umbrella of the Faculty of Science, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah in 2021 by keeping in view the increasing demand of this field of study around the globe. The Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The AI technologies are nowadays used in healthcare, automobiles, finance, surveillance, social media, entertainment, education, space exploration, gaming, robotics and agriculture. The ultimate goal of artificial intelligence is to create computer programs that can solve real-world problems and achieve goals like human beings. The major areas of AI include machine learning, neural networks, computer vision, robotics, natural language processing, expert systems and speech processing.

The Department is well equipped with advanced computer laboratories and qualified faculty. Currently, there are three (05) foreign qualified PhD faculty members in the Department, who are experts in the AI domain. Some faculty members are pursuing PhD degree in AI in well reputed international universities and are expected to join the department in near future. The PhD faculty in the department have strong academic collaborations with national/international institutions. This linkage is helpful for the exchange of students to other national/international institutions. The government of Pakistan is also encouraging and supporting the institutions offering degree in AI.

Research Areas

Technically, computer vision encompasses the fields of image/video processing, pattern recognition, biological vision, artificial intelligence, augmented reality, mathematical modeling, statistics, probability, optimization, 2D sensors, and photography.

The current plethora of imaging technologies such as magnetic resonance imaging (MR), computed tomography (CT), optical coherence tomography (OCT), and ultrasound provide great insight into the different anatomical and functional processes of the human body.

Video Understanding involves the automatic interpretation of digital video using computer algorithms. Although humans are readily able to interpret digital video, developing algorithms for the computer to perform the same task has been highly evasive and is now an active research field.

Remote sensing enables monitoring of land, atmosphere expanses and ocean representing data that cannot be captured using any other means. A vast amount of information is generated by remote sensing platforms that need to be analyzed accurately.


Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data.

Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes.

Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the computational treatment of opinions, sentiments and subjectivity of text. It is the process of determining whether a piece of writing is positive, negative or neutral.

Biometric recognition is an information system that allows the identification of a person based on some of its main physiological and behavioral characteristics. Biometric recognition in-the-wild is a challenging topic with numerous open issues.