Data Science is a dynamic and fast-growing field at the interface of Statistics and Computer Science. It is an interdisciplinary field to get knowledge and various insights from data. The Data Science Research Group at Karachi Campus of National University of Computer and Emerging Sciences addresses the challenges associated with getting information from homogenous and heterogeneous data. Research group mainly focus on machine learning and information processing techniques for data analysis with main applications in writer identification, face recognition, cancer classification, multi-label classification, social media data analysis and information visualization. Data Science is going to become of the important discipline in Computer Science. The research group will focus on cutting edge development in this field.

Team Members

• Dr. Muhammad Atif Tahir
• Dr. Hasina Khatoon
• Dr. Muhammad Rafi
• Dr. Rauf Ahmed Shams
• Dr. Fahad Sherwani
• Dr. Muhammad Nouman Durrani

PhD Students

• Mr. Farrukh Hasan
• Mr. Furqan
• Mr Hanif Soomro
• Mr. Shehzad Ahmed
• Mr. Zeeshan Khan
• Mr. Waqas Shaikh
• Mr. Musawar Ali

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1. Razali Bin Hassan, Muhammad Mujtaba Asad, Fahad Sherwani (Universiti Tun Hussein Onn Malaysia), & Qadir Mehmood Soomro (OSHTC Pakistan) (2020).
2. K Soomro, MNM Bhutta, Z Khan, MA Tahir, Smart city big data analytics: An advanced review, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (5), 2019. (Impact Factor, 2.6)
3. FA Khan, F Khelifi, MA Tahir, A Bouridane, Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors, IEEE Transactions on Information Forensics and Security 14 (2), 289-303, 2019. (Impact Factor, 4.332)
4. Remy Peyret, Ahmed Bouridane, Fouad Khelifi, Muhammad Atif Tahir, Somaya Al-Maadeed “Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization” Neurocomputing January 2018. (Impact Factor 3.32)
5. F H Syed, M A Tahir, Safe semi supervised multi-target regression (MTR-SAFER) for new targets learning, Multimedia Tools and Applications 77 (22), 29971-29987, 2018. (Impact Factor 1.6)
6. Faraz Ahmad Khan, Muhammad Atif Tahir, Fouad Khelifi, Ahmed Bouridane, Resheed Almotaeryi “Robust off-line text independent writer identification using bagged discrete cosine transform features” Expert Systems with Applications, April 2017. (Impact Factor 3.9)
7. . Qureshi, A. Malik, "On Optimization of Wireless XOR Erasure Codes," in: Physical Communication, 27, April 2018, 74-85. (Impact Factor, 1.522)
8. Muhammad Hanif, Muhammad Atif Tahirr, Muhammad Rafi, Flood Detection Using Social Media Big Data Streams, Encyclopedia of Big Data Technologies, 1-10, 2018. (Book Chapter)