Air University Kamra Campus

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Department of Computer Science

Muhammad Kamran

Lecturer

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Email: [email protected]

Muhammad Kamran

Lecturer

Muhammad Kamran received his MS in Computer Science from COMSATS University Islamabad, Wah Campus, and is currently serving as a Lecturer in the Department of Computer Science at Air University, Kamra Campus, Pakistan. He is also pursuing his PhD in Computer Science at COMSATS University Islamabad, Wah Campus, where he is affiliated with the Intelligent Secure Networks (IntelliSEN) research group. His research interests span across Blockchain technologies, Machine Learning and Artificial Intelligence, Data Science, Internet of Things (IoT), Cybersecurity, and Software Testing. He has contributed to several scholarly publications in these domains and is actively engaged in advancing secure, intelligent, and scalable solutions for emerging technologies. Before his current appointment, he served as a faculty member at Riphah International University, gaining valuable academic and research experience.

MSCS From Comsats University Islamabad

M. Kamran, M. M. Rehan, W. Nisar, and M. W. Rehan, “ARCADE—Adversarially robust cost-sensitive anomaly detection in blockchain using explainable artificial intelligence,” Electronics, vol. 14, no. 8, p. 1648, 2025. M. Kamran, M. M. Rehan, W. Nisar, and M. W. Rehan, “AHEAD: A novel technique combining anti-adversarial hierarchical ensemble learning with multi-layer multi-anomaly detection for blockchain systems,” Big Data and Cognitive Computing, vol. 8, no. 9, p. 103, 2024. I. Ahmad, S. Iqbal, S. Jamil, and M. Kamran, “A systematic literature review of e-banking frauds: current scenario and security techniques,” Linguistica Antverpiensia, vol. 2, no. 2, pp. 3509–3517, 2021. . Kamran, H. U. Khan, W. Nisar, M. Farooq, and S. U. Rehman, “Blockchain and Internet of Things: A bibliometric study,” Computers & Electrical Engineering, vol. 81, p. 106525, 2020. M. Kamran, J. Rashid, and M. W. Nisar, “Android fragmentation classification, causes, problems and solutions,” International Journal of Computer Science and Information Security, vol. 14, no. 9, p. 992, 2016.

Blockchain technologies Machine Learning Artificial Intelligence Data Science Internet of Things (IoT) Cybersecurity, and Software Testing