Nadeem Ahmad Sheikh, Farhad Ali, Muhammad Saqib, Ilyas Khan, Syed Aftab Alam Jan, Ali Saleh Alshomrani, Metib Said Alghamdi. (2017). Comparison and Analysis of the Atangana–Baleanu and Caputo–Fabrizio Fractional Derivatives for Generalized Casson Fluid Model with Heat Generation and Chemical Reaction. Results in Physics. (I.F 1.337)

Pattern Recognition and Classification Group

Department of Computer Science
Team Leader
Dr. Muhammad Tahir
Personnel Profile
Dr. Muhammad Tahir received his PhD degree in Computer Science from Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan. His area of research includes pattern recognition, machine learning, image processing, and bioinformatics.
Group Members
1) Mr. Mumtaz Ali,
2) Muhammad Arif,
3) Zafar Iqbal,
4) Arjumand Yar Khan,
Group Publications
1. Muhammad Tahir, Asifullah Khan, and Abdul Majid. "Protein subcellular localization of ?uorescence imagery using spatial and transform domain features". In: Bioinformatics 28.1 (2012), pp. 91-97.
2. Muhammad Tahir, Asifullah Khan, Abdul Majid, and Alessandra Lumini. "Subcellular localization using ?uorescence imagery: utilizing ensemble classi?cation with diverse feature extraction strategies and data balancing". In: Applied Soft Computing 13.11 (2013), pp. 4231-4243.
3. Muhammad Tayyeb Mirza, Asifullah Khan, Muhammad Tahir, and Yeon Soo Lee. "MitProt-Pred: Predicting mitochondrial proteins of Plasmodium falciparum parasite using diverse physiochemical properties and ensemble classi?cation". In: Computers in biology and medicine 43.10 (2013), pp. 1502-1511.
4. Muhammad Tahir, Asifullah Khan, and H?seyin Kaya. "Protein subcellular localization in human and hamster cell lines: Employing local ternary patterns of ?uorescence microscopy images". In: Journal of theoretical biology 340 (2014), pp. 85-95.
5. Maqsood Hayat, Muhammad Tahir, and Sher Afzal Khan. "Prediction of protein structure classes using hybrid space of multi-pro?le Bayes and bi-gram probability feature spaces". In: Journal of theoretical biology 346 (2014), pp. 8-15.
6. Muhammad Tahir, Maqsood Hayat, Khurram Jawad, and Adnan Idris. "Gray Level Co-occurrence Matrix: A basis for generating informative and diversi?ed feature spaces from ?uorescence microscopy protein images", submitted in PLOS ONE
7. Muhammad Tahir and Asifullah Khan. "Protein Subcellular Localization through the Exploitation of Individual Orientations of Grey Level Co-occurrence Matrices and Texton Images", submitted in Journal of Information Sciences
8. Bismillah Jan, Muhammad Tahir, Shakirullah Shah, and Maqsood Hayat. "Fluorescence microscopy protein image classi?cation through Extended Threshold Adjacency Statistics", ready for submission
Available Research Opportunities (Graduate and Postgraduate Level)
Dr. Muhammad Tahir
Pattern recognition
Protein-protein interaction
Protein image classification/image classification
Mr. Mumtaz Ali
Content Based Image Retrieval
Image/Video Watermarking
Colorization of Gray Scale Images
Mr. Muhammad Arif
Digital Image watermarking and Steganography
Materialized views
Data mining and Data warehousing
Mr. Zafar Iqbal
Web Application Development
Semantic Web
Text Mining
Mr. Arjumand Yar Khan
Document Clustering
Data/Text Mining


Research Groups

Contact Us:

Phone: +92-91-2609501-8
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Fax: +92-91-2609500