Mr. Safi Ullah

Lecturer

Computer Science
Email: safi.ullah@szabist-isb.edu.pk

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SAFI ULLAH received MPhil degree with distinction from Quaid-i-Azam University, Islamabad, Pakistan, which is ranked number one in Higher Education Commission (HEC) Pakistan. His research areas include machine learning, deep learning, cybersecurity, intrusion detection, and Internet of Things (IoT) security. Moreover, he has published numerous articles in prestigious high-impact journals focusing on cybersecurity, IoT, and intrusion detection, among other topics.

I’m a passionate computer science researcher and educator with a strong interest in artificial intelligence and emerging technologies. My academic journey has focused on areas like the Internet of Things (IoT), Internet of Vehicles (IoV), and cybersecurity, particularly intrusion detection using deep learning models. Currently, I’m working as a Lecturer at SZABIST University in Islamabad, where I’m involved in teaching and guiding students in various computer science domains. Before this, I had the opportunity to work as a Visiting Lecturer at Quaid-i-Azam University and as a Researcher at Prince Sultan University in Saudi Arabia. I also worked remotely as a Research Assistant for Edinburgh Napier University in the UK. I completed my MPhil in Computer Science from Quaid-i-Azam University, where my research focused on developing deep learning-based intrusion detection systems for IoV networks. I have published several research papers in reputable journals and international conferences. Alongside my research, I have strong technical skills in programming and development. I’m proficient in Python, C#, PHP (Laravel and Core), and Java, with hands-on experience in web and desktop application development. I frequently work with machine learning and deep learning libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn.