Estb. 1882

University of the Punjab

Mr. Zeeshan Arshad

Lecturer (on Study Leave)
Mr. Zeeshan Arshad
Mr. Zeeshan Arshad joined Department of Information Technology, University of the Punjab (Gujranwala Campus) as Lecturer in September 2010. Currently, he is on study leave for his PhD in Computer Science from Germany. He obtained his M.Phil. Computer Science Degree with 81% marks from Comsats University, Islamabad in 2014. He secured his M.Sc. IT degree with 85% distinction (CGPA 3.81) from University of the Punjab, back in 2009.
His career is stunning amalgamation of Professional Software Development, University Teaching and Software Engineering Research. His key area of Teaching, Development and Research is Computer Programming, Software and Tool analysis, Software Code Smell Detection, Software Maintenance, Software Engineering, Reverse Engineering, Enterprise Application Development, Software Database Management System and designing, development & testing of ERP Systems.
He also worked as a Senior Software Engineer at Algorithm Consulting Pvt. Ltd., Islamabad for duration of more than five years i.e. 2009 to 2014 while using C# Asp.NET Technology with SQL Server for the Analysis, Designing, Development and implementation of ERP system for the Textile Industry of Pakistan and Bangladesh. Talking about his research, he has a numbers of national & international publications with good Impact Factors under his credit. His research papers has been accepted and published in prestigious Journals of Computer Science and Information Technology. List of some of his recent publications is as follow
"A review of code smell mining techniques" (Published) in "JOURNAL OF SOFTWARE: EVOLUTION AND PROCESS (U.K.)"Rasool, G. & Arshad, Z. J. Softw. Evol. & Proc. (2015), 27:867–895 Published online 9 September 2015 in Wiley Online Library ( DOI: 10.1002/smr.1737.
"A Lightweight Approach for Detection of Code Smells" (Published) in "Arabian Journal for Science and Engineering (GERMANY)" Rasool, G. & Arshad, Z. Arab. J. Sci. Eng. (2017). Published online 6 July 2016 in Springer Online Library ( Doi: 10.1007/s13369-016-2238-8.
"Expert System for Recommendations of Healthy Food Recipes using machine learning" in "Elementary Education Online" Jhamat, Naveed, Ghulam Mustafa, Zeeshan Arshad, and Rizwan Abbas. "Expert System for Recommendations of Healthy Food Recipes using machine learning" Ilkogretim Online 20, no. 5 (2021).
Other Publications:
"Historical Perspective of Software Refactoring Tools towards Future Solution" in "Journal of Punjab University Historical Society" Jhamat, N., Arshad, Z., & Mustafa, G. (2021). Historical Perspective of Software Refactoring Tools towards Future Solution. Journal of the Punjab University Historical Society, 34(01).
"Context-Aware and Sequential Pattern Mining based recommendations for Research Papers: A Hybrid Approach" Amaad, H., Jhamat, N., Riaz, K., & Arshad, Z. (2020). Context-Aware and Sequential Pattern Mining based recommendations for Research Papers: A Hybrid Approach. Journal of Information Communication Technologies and Robotic Applications, 57-76.
"Hybrid Book Recommender System using Implicit Feedback: A Machine Learning Approach" Jhamat, N., Mustafa, G., Arshad, Z., & Abbas, R. (2021). HYBRID BOOK RECOMMENDER SYSTEM USING IMPLICIT FEEDBACK: A MACHINE LEARNING APPROACH. PalArch's Journal of Archaeology of Egypt/Egyptology, 18(4), 4750-4762.
"Sentiment-based Movie Recommender System using Deep Learning" published in "Journal of Pakistan Social Science Review" Arshad, N. J. G. M. Z. (2018). Sentiment-based Movie Recommender System using Deep Learning.
Designation:- Lecturer (on Study Leave)