Biography

Dr. Zia Ul Rehman is a result focused, forward thinking and proactive academic professional with over 15 years of teaching, research, and industry experience in well-reputed national and international organizations. He earned his BS in Information Technology with distinction, followed by an MS in Computer Science, and a PhD in Computer Science with a research focus on machine learning. His research interests span data science, machine learning, deep learning, and artificial intelligence. Dr. Zia has supervised numerous undergraduate final-year projects and master’s theses, and currently supervises three PhD students. He remains committed to academic excellence, professional development, and advancing the field of computer science through innovative research and quality teaching.

Education

• PhD in Computer Science, National College Of Business Administration & Economics (Lahore Pakistan) 2021
• MS/MPhil in Computer Science, National University Of Computer & Emerging Sciences NUCES-FAST (Lahore Pakistan) 2012
• BA/BSc(Hons) in Information Technology, The Islamia University Of Bahawalpur (Bahawalpur, Pakistan) 2009

Teaching Areas

Experience

Journal Papers

• Halima Farrukh, Sidra Zafar, Zia Ul Rehman, Asghar Ali Shah, Nizal Alshammry (2025). "Blockchain-Based Fraud Detection: A Comparative Systematic Literature Review of Federated Learning and Machine Learning Approaches." Electronics , Vol. 14 (24) , pp. 4952. DOI: https://doi.org/10.3390/electronics14244952 | Impact Factor: 2.6 [Link]
• Muhammad Hanif, Fida Ur Rahman, Muhammad Waqas Anjum, Zia Ul Rehman, Sagheer Abbas, Asghar Ali Shah, Muhammad Adnan Khan (2025). "Hyperchaos-Driven 3D RGB Image Scrambling and Encryption for Multi-Image Security." IET Image Processing , Vol. 20 (1) . DOI: https://doi.org/10.1049/ipr2.70270 | Impact Factor: 2.2 [Link]
• Numan Aslam, Muhammad Khurram Ehsan, Zia Ul Rehman, Muhammad Hanif & Ghulam Mustafa (2023). "A modified form of different applied median filter for removal of salt & pepper noise.." Multimedia Tools and Applications, Springer , Vol. 82 (1) , pp. 7479–7490. DOI: https://doi.org/10.1007/s11042-022-13289-x | Impact Factor: 3.6 [Link]
• Nadeem Iqbal, Muhammad Hanif, Zia Ul Rehman & Muhammad Zohaib (2022). "On the novel image encryption based on chaotic system and DNA computing." Multimedia Tools and Applications, Springer , Vol. 81 (1) , pp. 8107–8137. DOI: https://doi.org/10.1007/s11042-022-11912-5 | Impact Factor: 3.9 [Link]
• Nadeem Iqbal, Muhammad Hanif, Sagheer Abbas, Muhammad Adnan Khan, Zia Ul Rehman (2021). "Dynamic 3D scrambled image based RGB image encryption scheme using hyperchaotic system and DNA encoding." Journal of Information Security and Applications, Elsevier , Vol. 58 (1) , pp. 102809. DOI: https://doi.org/10.1016/j.jisa.2021.102809 | Impact Factor: 3.7 [Link]
• Muhammad Hanif, Sagheer Abbas, Muhammad Adnan Khan, Nadeem Iqbal, Zia Ul Rehman (2020). "A novel and efficient multiple RGB images cipher based on chaotic system and circular shift operations." IEEE Access , Vol. 8 (1) , pp. 146408-146427. DOI: 10.1109/ACCESS.2020.3015085 | Impact Factor: 3.6 [Link]

Conference Papers

• 2019 International Conference on Innovative Computing (ICIC) (2019), Lahore, Pakistan. , Paper: "An IoT enabled framework for smart buildings empowered with cloud & fog infrastructures"
• 2016 sixth international conference on innovative computing technology (INTECH) (2016), Dublin, Ireland. , Paper: "Lexicon-based sentiment analysis for Urdu language"

Projects

Thesis/Research Supervisions

• Ridha Maryum (2023), BS. Thesis: "AI-Recruit Mentor – Chatbot" (Completed)
• Waqas Anjum (2022), MS/MPhil. Thesis: "A Novel Image Encryption Scheme Using Chaotic System" (Completed)
• Farwa Khalid (2021), MS/MPhil. Thesis: "Cyberbullying detection from social networks" (Completed)
• Irfan Latif (2020), MS/MPhil. Thesis: "Sentiment Analysis from social networks" (Completed)
• Asad Kamal (2019), MS/MPhil. Thesis: "Aspect-level sentiment analysis of Pakistani Universities" (Completed)