PROF. DR. MUHAMMAD ARIF SHAH
| PROFESSOR/DEAN FACULTY OF COMPUTING AND NUMERICAL SCIENCES |
| dean.cns@cusit.edu.pk |
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Short Profile
Prof. Dr. Muhammad Arif Shah is an Austrian Fachhochschule Certified Academic Administrator and Academician, widely recognized for leading one of the most progressive transformations in Pakistan’s higher education sector. A reform-driven leader, he is advancing a commercialization-focused academic model that connects research, innovation, and entrepreneurship, turning classroom ideas into real products and ventures.
At CUSIT, his leadership has sparked a new era of applied excellence. Academic programs are being aligned with industry needs, labs are evolving into innovation spaces, and faculty and students are building outcomes that translate directly into societal and economic impact.
A multi-venture founder and strategic visionary, Dr. Shah continues to shape the future of academic innovation through purposeful reforms, global collaborations, and impactful funding initiatives that empower people, ideas, and institutions to grow together.
star Specializations
Artificial Intelligence Big Data and Data Analytics Data Science Deep Learning Game Development Gaming Software Engineering
Research & Academic Contributions
Publications
| # | Author(s) | Title | Journal | Source | Impact Factor |
|---|---|---|---|---|---|
| 1 | B Khan, R Naseem, MA Shah, K Wakil, A Khan, MI Uddin, M Mahmoud | Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques | Journal of Healthcare Engineering | HEC Category: Not Recognized | |
| 2 | MA Shah, DNA Jawawi, MA Isa, M Younas, A Abdelmaboud, F Sholichin | Ensembling Artificial Bee Colony with Analogy-Based Estimation to Improve Software Development Effort Prediction | IEEE ACCESS | HEC Category: W | 3.4 |
| 3 | M Younas, DNA Jawawi, I Ghani, MA Shah | Extraction of non-functional requirement using semantic similarity distance | Neural Computing and Applications | HEC Category: W | 0.8 |
| 4 | S Ahmed, MA Shah, K Wakil | Blockchain as a trust builder in the smart city domain: a systematic literature review | IEEE Access | HEC Category: W | 3.4 |
| 5 | Rashid Naseem, Bilal Khan, Muhammad Arif Shah, Karzan Wakil, Atif Khan, Wael Alosaimi, M Irfan Uddin, Badar Alouffi | Performance assessment of classification algorithms on early detection of liver syndrome | Journal of Healthcare Engineering | HEC Category: Not Recognized | |
| 6 | Muhammad Younas, Dayang Norhayati Abang Jawawi, Muhammad Arif Shah, Ahmad Mustafa, Muhammad Awais, Muhammad Kamran Ishfaq, Karzan Wakil | Elicitation of nonfunctional requirements in agile development using cloud computing environment | IEEE access | HEC Category: W | 3.4 |
| 7 | Amjad Shah, Rashid Naseem, Shahid Iqbal, Muhammad Arif Shah | Improving CBIR accuracy using convolutional neural network for feature extraction | 13th International Conference on Emerging Technologies (ICET) | HEC Category: Not Recognized | |
| 8 | Rashid Naseem, Bilal Khan, Arshad Ahmad, Ahmad Almogren, Saima Jabeen, Bashir Hayat, Muhammad Arif Shah | Investigating tree family machine learning techniques for a predictive system to unveil software defects | Complexity | HEC Category: X | 2.8 |
| 9 | Ahmad Mustafa, Wan MN Wan-Kadir, Noraini Ibrahim, Muhammad Arif Shah, Muhammad Younas, Atif Khan, Mahdi Zareei, Faisal Alanazi | Automated test case generation from requirements: A systematic literature review | Computers, Materials and Continua | HEC Category: X | 3.7 |
| 10 | Rashid Naseem, Zain Shaukat, Muhammad Irfan, Muhammad Arif Shah, Arshad Ahmad, Fazal Muhammad, Adam Glowacz, Larisa Dunai, Jose Antonino-Daviu, Adel Sulaiman | Empirical assessment of machine learning techniques for software requirements risk prediction | Electronics | HEC Category: W | 2.7 |
| 11 | Zunash Zaki, Muhammad Arif Shah, Karzan Wakil, Falak Sher | LOGISTIC REGRESSION BASED HUMAN ACTIVITIES RECOGNITION | JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES | HEC Category: Not Recognized | 0.82 |
| 12 | Muhammad Sohaib Aslam, Muhammad Younas, Muhammad Umar Sarwar, Muhammad Arif Shah, Atif Khan, M Irfan Uddin, Shafiq Ahmad, Muhammad Firdausi, Mazen Zaindin | Liver-Tumor Detection Using CNN ResUNet. | Computers, Materials & Continua | HEC Category: X | 3.7 |
| 13 | Muhammad Younas, DNA Jawawi, Imran Ghani, Muhammad Arif Shah, Muhammad Mahboob Khurshid, Syed Hamid Hussain Madni | Framework for agile development using cloud computing: A survey | Arabian Journal for Science and Engineering | HEC Category: W | 2.9 |
| 14 | Muhammad Younas, DNA Jawawi, Imran Ghani, Muhammad Arif Shah, Muhammad Mahboob Khurshid, Syed Hamid Hussain Madni | Framework for agile development using cloud computing: A survey | Arabian Journal for Science and Engineering | HEC Category: W | 2.9 |
| 15 | Muhammad Arif Shah, Dayang N. A. Jawawi, Mohd Adham Isa, Karzan Wakil, Muhammad Younas, Ahmed Mustafa | MINN: A Missing Data Imputation Technique for Analogy-based Effort Estimation | International Journal of Advanced Computer Science and Applications | HEC Category: Not Recognized | 0.9 |
| 16 | Nazeer Muhammad, Nargis Bibi, Muhammad Arif Shah, Saira Zainab, Ihsan Ullah, Zahid Mahmood | An entropy based salient edge enhancement using fusion process | Applied Mathematical Modelling | HEC Category: W | 5.1 |
| 17 | Arjmand Khaliq, Syed Abdul Rahman Kashif, Fahad Ahmad, Muhammad Anwar, Qaisar Shaheen, Rizwan Akhtar, Muhammad Arif Shah, Abdelzahir Abdelmaboud | Indirect vector control of linear induction motors using space vector pulse width modulation | Computers, Materials and Continua | HEC Category: X | 3.7 |
| 18 | Qazi Haseeb Yousaf, Muhammad Arif Shah, Rashid Naseem, Karzan Wakil | An effective approach to analyze algorithms with linear O(n) worst-case asymptotic complexity | International Journal of Advanced Computer Science and Applications | HEC Category: Not Recognized | 0.9 |
| 19 | Sheraz Ahmed, Muhammad Arif Shah, Ghufran Ullah, Karzan Wakil | A SYSTEMATIC LITERATURE REVIEW PROTOCOL FOR BLOCKCHAIN REVOLUTIONIZING ARENAS OF SMART CITY | JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES | HEC Category: Not Recognized | 3.8 |
| 20 | Muhammad Yaseen Muhammad Yaseen, Aida Mustapha, Muhammad Arif Shah, Noraini Ibrahim | A hybrid technique using minimal spanning tree and analytic hierarchical process to prioritize functional requirements for parallel software development | Requirements Engineering | HEC Category: W | 3.3 |
| 21 | Rashid Naseem, Bilal Khan, Arshad Ahmad, Ahmad Almogren, Saima Jabeen, Bashir Hayat, Muhammad Arif Shah | Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects | Complexity | HEC Category: X | 2.8 |