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Dr. Muhammad Arif Shah

Assistant Professor

Biography

Dr. Muhammad Arif Shah is a distinguished academician, visionary leader, and dynamic entrepreneur with over 14 years of experience in the fields of software engineering and data science. Holding a PhD with distinction from Universiti Teknologi Malaysia (UTM), Dr. Shah has established himself as a prominent figure in academia and industry. As an Assistant Professor at Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology in Pakistan, he has been instrumental in developing cutting-edge curricula and establishing advanced research and teaching labs. His leadership extends to his role as the CEO of Potatoman Group of Companies and Lead of Gaming and Animation Studio at XUP Studios, where he integrates academic insights with industry applications to drive innovation and practical solutions.

Dr. Shah’s expertise is not limited to academia; he is a prolific researcher with numerous publications in high-impact journals, focusing on AI, machine learning, and software engineering. His research contributions have earned him multiple awards, including the Best Teacher Award at City University of Science and IT, Peshawar, and the AirAsia award for Data Sciences in Malaysia. As a member of the Board of All Faculties of the Institute at PAFIAST and the Economic Think Tank of Pakistan for SDPI, Dr. Shah actively contributes to shaping educational and economic policies. His administrative acumen is evident in his successful collaborations with industry partners, including the establishment of game development and animation studios, and his role in developing research and startup policies at PAFIAST.

In his entrepreneurial ventures, Dr. Shah demonstrates exceptional leadership and strategic vision. He has a proven track record of managing large organizations and fostering symbiotic relationships between academia and industry. His efforts to create industry-ready curricula and innovative teaching methodologies have prepared countless students for successful careers in technology. Fluent in multiple languages, Dr. Shah’s multicultural awareness and excellent communication skills make him an effective leader in diverse academic and professional settings. His commitment to excellence and continuous learning positions him as a forward-thinking executive capable of leading large-scale initiatives and driving meaningful progress in both academia and industry.

Education

  • Doctor of Philosophy (Computer Science), Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia ,2019
  • Master of Computer Software Engineering ,University of Engineering and Technology (UET), Peshawar ,2014
  • Bachelor of Science in Computer Science, ,University of Engineering and Technology (UET), Peshawar ,2009

Publications

  • Shah, Muhammad Arif, et al. "Ensembling Artificial Bee Colony with Analogy-Based Estimation to Improve Software Development Effort Prediction." IEEE Access (2020) (IF=4.098)
  • Muhammad Arif Shah, Dayang Jawawi, “Missing Data Imputation and Attribute Weight Optimization based Software Development Effort Estimation”, Neural Computing and Applications, in-Review, 2020 (ISI IF=4.664)
  • Sheraz Ahmed, Muhammad Arif Shah, “Blockchain as a Trust Builder in the Smart City Domain: A Systematic Literature Review(2020). (IF=4.098)
  • Muhammad Younas, Muhammad Arif Shah, "Extraction of Non-Functional Requirement Using Semantic Similarity Distance, Neural Computing and Applications, 2019 (ISI IF=4.664)
  • Muhammad Arif Shah, Dayang N. A. Jawawi,Mohd Adham Isa,Muhammad Younas and Ahmad Mustafa,"Adopting the Appropriate Performance Measures for Soft Computing-based Estimation by Analogy," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 2, pp. 629-634, 2020
  • Muhammad Arif Shah, Dayang Jawawi, MOHD ADHAM ISA, MINN: A missing data imputation technique for Analogy-Based Effort Estimation, International Journal of Advanced Computer Science and Applications, 10 Issue 2 2019 (WOS ESCI)
  • Muhammad Younas, Dayang Jawawi, Imran Ghani, Muhammad Arif Shah, and Ahmad Mustafa, Extraction of Non-Functional Requirement using Word2Vec Model, Arabian Journal of Science and Engineering, 2019, p 1-17 (ISI IF= 1.518
  • Muhammad Arif shah, Dayang Jawawi, Mohd Adham Isa, Localizing Missing Data Imputation, Attribute Weight Optimization and Project Comparison for Analogy-based Estimation, Applied Soft Computing, in-Review 2019 (ISI IF 4.873)
  • Muhammad Arif Shah, Dayang Jawawi, “BABE: An Improved Analogy based Software Development Effort Estimation Model”, IEEE ACCESS, Accepted, 2019 (IF=4.098)
  • Muhammad Arif Shah, Iftikhar Ahmed Khan and Muhammad Shafi, Role of Software Architect: A Pakistani Software Industry Perspective, Research Journal of Recent Sciences ISSN 2277-2502 Vol. 3(12), 48-52, December (2014)
  • Muhammad Younas, Dayang Jawawi, Imran Ghani, Muhammad Arif Shah, and Ahmad Mustafa, Extraction of Non-Functional Requirement using Word2Vec Model, Arabian Journal of Science and Engineering, 2019, p 1-17 (ISI IF= 1.518)
  • Muhammad Arif Shah, Dayang Jawawi, MOHD ADHAM ISA, Soft-Computing Approaches in Analogy based Effort Estimation: A Systematic Mapping Review, IEEE ACCESS, Accepted, 2019 (Q1 IF=4.098).
  • Muhammad Arif Shah, Dayang Jawawi, MOHD ADHAM ISA, Ahmed Mustafa, Muhammad Younas Towards Adopting the Appropriate Performance Measures for Soft Computing based Estimation by Analogy, International Journal of Pure and Applied Mathematics (IJPAM), Accepted, 2018 (Scopus)
  • Khattak, U. M., Shah, M. A., & Shahzad, A. (2019). Enhancing Integrity Technique Using Distributed Query Operation. In Recent Trends and Advances in Wireless and IoT-enabled Networks (pp. 139-146). Springer, Cham
  • Muhammad Arif shah, Dayang Jawawi, Mohd Adham Isa, LIT: A Localization based Missing Data Imputation Technique for Analogy based Estimation, Journal of Systems and Software, Ready to be Submitted, 2019 (ISI IF 2.559)
  • Ahmad Mustafa, Wan M.N. Wan-Kadir, Noraini Ibrahim, Muhammad Arif Shah and Muhammad Younas, Integration of Heterogeneous Requirements using Ontologies, International Journal of Advanced Computer Science and Applications, 2019 (WOS ESCI
  • Qazi Haseeb, Muhammad Arif Shah, “A Solution Framework for Algorithm Analysis with same Worst-Case Asymptotic Complexity”, International Journal of Advanced Computer Science and Applications, 2019 (WOS ESCI)
  • Muhammad Younas, Muhammad Arif Shah, Elicitation of Nonfunctional Requirements in Agile Development using Cloud Computing Environment, IEEE ACCESS, Accepted, 2020 (IF=4.098)
  • Muhammad Arif shah, Dayang Jawawi, Identical Project based Imputation for ABE International Arabian Journal of Science and Engineering, in review 2019, (ISI IF= 1.518)
  • Muhammad Arif shah, Dayang Jawawi, Mohd Adham Isa, Localized Project Comparison for Analogy Based Software Development Effort Estimation, IET Software, in review (2019) (ISI IF=0.695)
  • Shah, Amjad, et al. "Improving CBIR accuracy using convolutional neural network for feature extraction." Emerging Technologies (ICET), 2017 13th International Conference on. IEEE, 2017
  • Zunash Zaki, Muhammad Arif Shah, “Logistic Regression Based Human Activities Recognition”, April 2020
  • Muhammad Arif Shah, et al. "Communication management guidelines for software organizations in Pakistan with clients from Afghanistan." IOP Conference Series: Materials Science and Engineering. Vol. 160. No. 1. IOP Publishing, 2016.
  • Muhammad Arif Shah, Qazi Haseeb, Theoretical Analysis of Algorithms with Quadratic O(n2) Worst-Case Asymptotic Complexity, Data Journal, In Review 2019 (ISI ESCI)
  • Ahmad Mustafa, Wan M.N, Noraini Ibrahim, Muhammad Arif Shah, Automated Test Cases Generation from Requirements: A Systematic Literature Review, International Journal of Pure and Applied Mathematics, 2018 (Scopus)
  • Muhammad Younas, Dayang Jawawi, Imran Ghani, Muhammad Arif Shah, and Ahmad Mustafa, Extraction of Non-Functional Requirement using Word2Vec Model, International Journal of Advanced Computer Science and Applications 2019
  • Muhammad Arif shah, Dayang Jawawi, MOHD ADHAM ISA, Localized Attribute Weight Optimization for Analogy Based Software Development Effort Estimation, IEEE Transactions on Software Engineering, ready to be submitted, 2019 (ISI IF=3.331)
  • M. I. Marwat, M. Arif Shah, et al, Towards Optimization of Software Engineering Ontologies, ICALTE'2014: International Conference on Advanced Learning Technologies and Education Hammamet, TUNISIA (IEEE) JANUARY 17- 19, 2014
  • Ahmed, Sheraz, Muhammad Arif Shah, Ghufran Ullah, and Karzan Wakil. "A SYSTEMATIC LITERATURE REVIEW PROTOCOL FOR BLOCKCHAIN REVOLUTIONIZING ARENAS OF SMART CITY."
  • Ahmad Mustafa, Wan M.N, I. Noraini, Muhammad Arif Shah, Atif Khan, Mahdi, Faisal Automated Test Case Generation from Requirements: A Systematic Literature Review", CMC-Computers, Materials & Continua (ISI IF=4.89)
  • M. Y. Saeed, M. Awais, M. Younas, M. A. Shah, A. Khan, Irfan, Marwan"An Abstractive Summarization Technique with Variable Length Keywords as per Document Diversity", CMCComputers, Materials & Continua (ISI IF=4.89)
  • Rashid Naseem, Bilal Khan, Muhammad Arif Shah, Karzan Wakil, Atif Khan, Alosaimi, M. Irfan Uddin, Bader Alouffi, Performance Assessment of Classification Algorithms on Early Detection of Liver Syndrome, Journal of Healthcare Engineering, Journal of Healthcare Engineering, November 2020. (IF1.803, Q2)
  • Rashid Naseem, Bilal Khan, Arshad Ahmad, Almorgen, Saima Jabeen, Bashir Hayat, Muhammad Arif Shah, Investigating Tree Family Machine Learning Techniques for a Predictive System to unveil Software Defects, Complexity. (ISI IF = 2.462)
  • Liver-Tumor Detection Using CNN ResUNet, CMC-Computers, Materials & Continua (ISI, IF=4.89)
  • Impact of Multiple Pox Controllers on Software Defined Network, CMC-Computers, Materials & Continua (ISI IF=4.89)
  • Scrutiny of Tree Family for Risk Prediction in Software Requirements, Complexity Journal (ISI IF = 2.462)
  • Lung Segmentation for Tuberculosis Pattern Construct by Deep Learning, CMC-Computers, Materials & Continua (ISI IF=4.89)

Awards & Prizes

  • Best Teacher Award , City University of Science and Information Technology ,2017
  • Best Performance Award, City University of Science and Information Technology ,2017
  • AirAsia Award (Best Data Scientist) Universiti Teknologi ,(UTM), Malaysia, 2019
  • UTM award for Data Engineering , Universiti Teknologi ,(UTM), Malaysia, 2019
  • Best Student Award (Ph.D) ,Universiti Teknologi ,(UTM), Malaysia, 2019
  • Merit Thesis Award, Universiti Teknologi ,(UTM), Malaysia, 2019
  • Academic Award ,Universiti Teknologi ,(UTM), Malaysia, 2019
  • Research Excellence Award ,Universiti Teknologi Malaysia (UTM), Malaysia , 2019

Research Interests

  • Software Engineering
  • Software Requirements Engineering
  • Software Quality Engineering
  • Software Project Management
  • Software Architecture
  • Human Computer Interaction,
  • Data Science, Analytics,
  • Natural Language Processing,
  • Algorithms, Cloud Computing, Artificial Intelligence, Machine Learning, Internet of Things, Robotics, Smart buildings, Algorithm Analysis, Theory of Computation, Applied Academia,