Shafaan Khaliq Bhatti is a Ph.D. candidate in Computer Science and has been an integral part of the Department of Computer Science & Information Technology since 2011. With over a decade of teaching and administrative experience, he has contributed significantly as a Lecturer, served as the Incharge at the Directorate of IT at the University of Mianwali, and worked as the Internal Controller of Examination at the University of Sargodha (formerly Ex-Sub Campus Mianwali) for over 8 years. Recently, he has been appointed as Deputy Registrar, further extending his impact on academic and administrative domains. His scholarly work is reflected in numerous research publications presented at national and international platforms, underscoring his dedication to advancing education and research

Research Journal




• Shafaan Khaliq Bhatti; Khalid Mahmood Aamir; Misbah Jabeen , 2024 , An Improved Variable Length Lightweight DESSHA for IoT-Enabled Smart Devices , Power System Technology , 48, 3, IF: 4.31 , Web Link : https://powertechjournal.com/index.php/journal/article/view/844
• S. K. Bhatti, M. I. U. Lali, B. Shahzad, F. Javid, F. U. Mangla and M. Ramzan , 2018 , Leveraging the Big Data Produced by the Network to Take Intelligent Decisions on Flow Management , IEEE Access , 6, IF: 3.43 , Web Link : https://ieeexplore.ieee.org/abstract/document/8304752
• M. I. Lali, M. M. Bilal, M. S. Nawaz, M. Deen, B. Shahzad, and S. Khaliq , 2016 , Effect of Input-Output (IO) Buffering to Minimize Flow Control Blocking in Software Defined Networking , The Nucleus , 53, 3, , Web Link : http://thenucleuspak.org.pk/index.php/Nucleus/article/view/142

Conference Proceeding




• Shafaan Khaliq Bhatti; Khalid Mahmood Aamir; Mohamed Deriche (2023). A Scalable DES Based Hashing Algorithm. In 2023 24th International Arab Conference on Information Technology (ACIT) (pp. 1- 5) . IEEE.
• S. K. Bhatti, A. Muneer, M. I. Lali, M. Gull and S. M. U. Din (2017). Personality analysis of the USA public using Twitter profile pictures. In 2017 International Conference on Information and Communication Technologies (ICICT), Karachi, Pakistan, 2017 (pp. 165- 172) . IEEE.
• Haq, U. U., M. Ramzan, M. Bilal, S. Khaliq, and A. Rafiq (2023). Rice plants diseases detection and classification using deep learning models.. In International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023) (pp. 222- 215) . IET, 2023.

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