Faculty Profile

Shahzaib Ashraf
Assistant Professor
PhD Mathematics

Dr. Shahzaib Ashraf is currently an Assistant Professor (Mathematics) at Khwaja Fareed University of Engineering and Information Technology in Rahim Yar Khan, Punjab, Pakistan. He earned his BS degree in Mathematics from University of Sargodha, followed by an MS in Fuzzy Mathematics from International Islamic University, Islamabad. He completed his PhD Mathematics at Abdul Wali Khan University in Mardan.

Before joining Khwaja Fareed University, Dr. Ashraf served as an Assistant Professor at Bacha Khan University in Charsadda and worked as a visiting lecturer at Abdul Wali Khan University.

Dr. Ashraf has published 125 research articles in international peer-reviewed journals, including ISI-indexed and high-impact publications such as the International Journal of Intelligent Systems, Applied Soft Computing, Information Sciences, International Journal of Fuzzy Systems, Journal of Ambient Intelligence and Humanized Computing, Journal of Intelligent and Fuzzy Systems, Entropy, and Mathematics.


  • Ashraf, S., Akram, M., Jana, C., Jin, L., & Pamucar, D. (2024). Multi-criteria assessment of climate change due to green house effect based on Sugeno Weber model under spherical fuzzy Z-numbers. Information Sciences, 666, 120428.
  • Ashraf, S., Sohail, M., Chohan, M. S., Paokanta, S., & Park, C. (2024). Higher-order circular intuitionistic fuzzy time series forecasting methodology: Application of stock change index. Demonstratio Mathematica, 57(1), 20230115.
  • Ashraf, S., Chohan, M. S., Askar, S., & Jabbar, N. (2024). q-Rung Orthopair fuzzy time series forecasting technique: Prediction based decision making. AIMS Mathematics, 9(3), 5633-5660.
  • Khan, Y., Ashraf, S., & Shah, M. (2024). Determinants of food security through statistical and fuzzy mathematical synergy. Environment, Development and Sustainability, 26(6), 14981-14999.
  • Saqib, M., Ashraf, S., Farid, H. M. A., Simic, V., Kousar, M., & Tirkolaee, E. B. (2024). Benchmarking of industrial wastewater treatment processes using a complex probabilistic hesitant fuzzy soft Schweizer-Sklar prioritized-based framework. Applied Soft Computing, 111780.
  • Ashraf, S., Chohan, M. S., Muhammad, S., & Khan, F. (2023). Circular intuitionistic fuzzy TODIM approach for material selection for cryogenic storage tank for liquid nitrogen transportation. IEEE Access.
  • Abbasi, S. N., Ashraf, S., Akram, M., Jana, C., Simic, V., & Pamucar, D. (2024). A Pythagorean fuzzy Z̃-number-based neutrality aggregation model for AI-enabled energy efficiency management. Applied Soft Computing, 161, 111753.
  • Ashraf, S. (2024, July). Disc Spherical Fuzzy Sets and Their Application in Decision Making. In International Conference on Intelligent and Fuzzy Systems (pp. 666-674). Cham: Springer Nature Switzerland.
  • Ashraf, S., Kousar, M., & Hameed, M. S. (2023). Early infectious diseases identification based on complex probabilistic hesitant fuzzy N-soft information. Soft Computing, 27(23), 18285-18310.
  • Ashraf, S., Iqbal, W., Ahmad, S., & Khan, F. (2023). Circular Spherical Fuzzy Sugeno Weber Aggregation Operators: A Novel Uncertain Approach for Adaption a Programming Language for Social Media Platform. IEEE Access, 11, 124920-124941.
  • Ashraf, S., Chohan, M. S., Ahmad, S., Hameed, M. S., & Khan, F. (2023). Decision Aid Algorithm for Kidney Transplants Under Disc Spherical Fuzzy Sets With Distinctive Radii Information. IEEE Access, 11, 122029-122044.
  • Batool, B., Abdullah, S., Ashraf, S., & Ahmad, M. (2021). Pythagorean probabilistic hesitant fuzzy aggregation operators and their application in decision-making. Kybernetes: The International Journal of Systems & Cybernetics, 51(4), 1626-1652.
  • Ashraf, S., Rehman, N., Al Salman, H., Gumaei, A. H., & Abramovi Ä, B. (2021). A Decision-Making Framework Using q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID-19. Complexity, 2021, 1-38.
  • Ashraf, S., Abdullah, S., & Aslam, M. (2020). Symmetric sum based aggregation operators for spherical fuzzy information: Application in multi-attribute group decision making problem. Journal of Intelligent & Fuzzy Systems, 38(4), 5241-5255.
  • Ashraf, S., Abdullah, S., & Mahmood, T. (2020). Spherical fuzzy Dombi aggregation operators and their application in group decision making problems. Journal of Ambient Intelligence and Humanized Computing, 11(7), 2731-2749.
  • Ashraf, S., & Abdullah, S. (2019). Spherical aggregation operators and their application in multi-attribute group decision‐making. International Journal of Intelligent Systems, 34(3), 493-523.
  • Ashraf, S., Abdullah, S., Mahmood, T., Ghani, F., & Mahmood, T. (2019). Spherical fuzzy sets and their applications in multi-attribute decision making problems. Journal of Intelligent & Fuzzy Systems, 36(3), 2829-2844.

His research interests encompass fuzzy set theory, spherical fuzzy sets, fuzzy aggregation operators, fuzzy decision support systems, fuzzy algorithms, and their engineering applications. He is also focused on probabilistic fuzzy decision support systems, the application of soft sets in decision-making, soft computing, and computational intelligence.

1) Recognized as World’s Top 2% Scientists’ list (STANFORD UNIVERSITY) 2021, 2022, 2023 and 2024.

2) Recognized as TOP CITED PAPER 2020-2021 in International Journal of Intelligent Systems (Paper Title: Emergency decision support modeling for COVID-19 based on spherical fuzzy information)

3) Awarded for travel grant of 2,28,362 Rs, in 2018 by the Higher Education Commission (HEC) of Pakistan to present a research paper in 5th International Conference on Recent Advances in Pure and Applied Mathematics, to be held at Karadeniz Technical University, Trabzon, Turkey.

4) Received shield for best performed in CRSOM-1 2014.

5) Merit Position in MS, 3rd in the order of position in the batch.  

Dr. Shahzaib Ashraf
Assistant Professor
Institute of Mathematics
Khwaja Fareed University of Engineering and Information Technology,
Rahim Yar Khan, Pakistan.