Anwar Shah

Assistant Professor
  • Department of Computer Science
  • (041) 111-128-128
  • Ext: 131


Dr. Anwar Shah is currently an Assistant Professor in Computer Science at the National University of Computer and Emerging Sciences. He has a PhD in Computer Science, specializing in Three-way Clustering (Machine Learning) from FAST – National University of Computer and Emerging Science, Pakistan. He received his MS in Computer Science with a distinction, specialization in image processing, from Abasyn University Peshawar. He completed his MSc in computer science from the University of Peshawar. Besides, he has an MBA in Human resource management from the Institute of Management Studies, University of Peshawar.
He started his professional career as an Instructor cum Team leader in e Soft Technologies Dubai, the United Arab Emirates, and served there from 2008 to 2015. He joined FAST – National University of Computer and Emerging Science, Peshawar Campus, as a Research Assistant in May 2021. He worked on a research project, “Three-way Clustering Approaches for Open World Classification,” from May 2021 to April 2022. His work has been published in well-reputed journals: Information Sciences, Journal of Applied Intelligence, Journal of Approximate Reasoning, and Journal of King Saud University – Computer and Information Sciences. His research interests include Three-way Decisions, Machine Learning, Bioinformatics, and Image Processing.


Research Interest

Three-way Decisions, Machine Learning, Bioinformatics, and Image Processing


PhD Computer Sciences, FAST-NUCES, Peshawar

MS Computer Sciences (Distinction), Abasyn University, Peshawar, Peshawar

MBA Human Resource Management, University of Peshawar, Peshawar

MSc Computer Sciences University of Peshawar, Peshawar


Fazal Wahab, Inam Ullah, Anwar Shah, Rehan Ali Khan, Ahyoung Choi, and Muhammad Shahid Anwar, “Design and implementation of real-time object detection system based on single-shoot detector and OpenCV”, Psychology, Frontiers Media S.A. & Switzerland, (IF. 4.232), 2022.

A. Shah, N. Azam, E. Alanazi, J. T. Yao, Image blurring and sharpening inspired three-way clustering approach. Applied Intelligence, 2022, 1-25, (IF 5.019)

A. Shah, J. I. Bangash, A. W. Khan, I. Ahmed, A. Khan, A. Khan, et al., “Comparative analysis of median filter and its variants for removal of impulse noise from gray scale images”, J. King Saud Univ.–Computer and Information Sciences, 34 (3), 2022, Pages 505-519, (IF 8.839)

A. Shah, N. Azam, B. Ali, M. T. Khan. J. T. Yao, A three-way clustering approach for novelty detection. Information. Sciences. 569, 2021, 650–668, (IF 8.23)

B. Ali, N. Azam, A. Shah, J.T. Yao, A spatial filtering inspired three-way clustering approach with application to outlier detection, International Journal of Approximate Reasoning, 130, 2021, 1-21, (IF 4.452)


Collaborations at National and International Level

Detail of Funded Projects