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.
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
1. 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)
2. 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)
3. 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)
4. 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)