Department of Computer Science

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Dr. Tufail Muhammad

Assistant Professor

Ext: +92-57-9153-240

Email: [email protected]


Dr. Tufail Muhammad

Assistant Professor

Dr. Tufail Muhammad received his Ph.D. degree in Computer System Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan (2016). His Ph.D. degree was sponsored by the Higher Education Commission (HEC) under the Indigenous Ph.D. Fellowship Program. His Ph.D. dissertation focuses on Computational Intelligence, Machine Learning, and Information Visualization. Prior to joining AU-A&ACK, Dr. Tufail was affiliated with the University of Lahore (UoL), Lahore campus, and Comsats University Islamabad. His current research interests include machine learning and data mining, optimization, and information visualization.


Jawad Usman Arshed, Masroor Ahmed, Tufail Muhammad, Mehtab Afzal, Muhammad Arif, Banchigize Bazezew, "GA-IRACE: Genetic Algorithm-Based Improved Resource Aware Cost-Efficient Scheduler for Cloud Fog Computing Environment", Wireless Communications and Mobile Computing, vol. 2022, Article ID 6355192, 19 pages, 2022. [ISSN: 1530-8677, Thomson Reuters JCR 2022, Impact factor 2.146, Wiley-Hindawi] M. Afzal, N. Shah and Tufail Muhammad, "Web Video Classification with Visual and Contextual Semantics," International Journal of Communication Systems, Vol. 32, Issue. 13, 2019. pp. [ISSN: 1099-1131, Thomson Reuters JCR 2019, Impact factor 1.278, Wiley] Z. Halim and Tufail Muhammad, "Quantifying and Optimizing Visualization: An Evolutionary Computing-Based Approach," Information Sciences, Vol. 385, 2017. pp. 284-313. [ISSN: 0020-0255, Thomson Reuters JCR 2016, Impact factor 4.832, Elsevier] Tufail Muhammad, Z. Halim, and M. A. Khan, “Visualizing Trace of Java Collection APIs by Dynamic Bytecode Instrumentation,” Journal of Visual Languages and Computing, Vol. 43, 2017, pp.14-29. [ISSN: 1045-926X, Thomson Reuters JCR 2017, Impact factor 1.171, Elsevier] Tufail Muhammad and Z. Halim, "Employing Artificial Neural Networks for Constructing Metadata-Based Model to Automatically Select an Appropriate Data Visualization Technique," Applied Soft Computing, Vol. 49, 2016, pp. 365-384. [ISSN: 1568-4946, Thomson Reuters JCR 2016, Impact factor 3.541, Elsevier] Rehman, Bacha, Zahid Halim, Ghulam Abbas, and Tufail Muhammad. "Artificial Neural Network-Based Speech Recognition Using Dwt Analysis Applied On Isolated Words From Oriental Languages." Malaysian Journal of Computer Science 28, no. 3, 2015. M.A. Khan, S. Muhammad, Tufail Muhammad “Identifying Performance Issues Based on Method Invocation Patterns of an API” In Proceedings of 18th International Conference on Evaluation and Assessment in Software Engineering (EASE 2014), May 2014 Khan, Majid Ali; Muhammad, Shahabuddin; Tufail Muhammad "Runtime Invocation Analysis of API Objects in Large Code Base" Computer Sciences and Applications (CSA), 2013 International Conference on, vol., no., pp.463,468, 14-15 Tufail Muhammad, Zahid Halim, Majid Ali Khan “ClassSpy: Java objects pattern visualization” Proceeding of International Conference on Simulation and Modeling, 2013 Page 382-387

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