Mustansar Ali Ghazanfar

Dr Mustansar Ghazanfar

Interim Director of Education & Experience

Computer Science And Informatics

Department of Computer Science and Digital Technologies , School Of Architecture, Computing And Engineering

Dr Mustansar Ali Ghazanfar is an associate professor in the Department of Computer Science and Digital Technologies. He successfully introduced a new course and he is the programme leader for MSc Artificial Intelligence. The programme attracted 50+ students within two years.

He delivers lecturers related to data mining, databases, Big Data, Artificial Intelligence, and machine learning. He supervises various BSc, MSc and PhD students. He is an active researcher with 50+ prestigious publications.

Areas Of Interest

  • Machine learning, deep learning, data science, predictive modelling, recommender systems
Mustansar Ali Ghazanfar

OVERVIEW

Dr Mustansar Ali Ghazanfar is an associate professor in the area of Artificial Intelligence (AI). The job requires active research in the broader spectrum of AI, machine learning, and data science. He is an emerging scientist in the field of AI with 70+ international articles, h-index = 28, and citation count of more than 2500+ in Google Scholar

He has successfully represented  his job:

  • in international media as an expert of Industry 4.0. on GB News London 
  • in various other media representations across the globe (Faculti , Kay2Tv Pakistan)
  • as a keynote speaker at Second International Conference on Technology, Innovation, and Data Science, Feb 2021 Malaysia 

RESEARCH

  • Data mining, machine/deep learning, pattern recognition: recommender systems, collaborative filtering, information retrieval, kernel based learning, classification techniques, dimensionality reduction techniques for handling large scale data, clustering, neural nets, social media analysis, cognitive science, web mining and analysis, NLP, software agents, coalition formation in agents, multi-agent systems, search engines.
  • Forecasting, personalisation, prediction, decision support systems, stock market prediction, time series. 
  • Big Data, business intelligence and insights, machine learning in Big Data. 
  • Launching new initiatives implementation, vision, e-government, consultancy, digital economy, socio-economic development.

PUBLICATIONS

  • A Meta-Heuristic Optimization Based Less Imperceptible Adversarial Attack on Gait Based Surveillance Systems
    M Maqsood, MA Ghazanfar, I Mehmood, E Hwang, S Rho. Journal of Signal Processing Systems, 1-23, 2022
  • A novel DeepMaskNet model for face mask detection and masked facial recognition
    N Ullah, A Javed, MA Ghazanfar, A Alsufyani, S Bourouis. Journal of King Saud University-Computer and Information Sciences, 2022
  • Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark 
    M Chaudhury, A Karami, MA Ghazanfar. Electronics 11 (16), 2567, 2022
  • Asset criticality and risk prediction for an effective cybersecurity risk management of cyber-physical system
    HI Kure, S Islam, M Ghazanfar, A Raza, M Pasha. Neural Computing and Applications 34 (1), 493-514, 2022
  • A computer-aided speech analytics approach for pronunciation feedback using deep feature clustering
    F Nazir, MN Majeed, MA Ghazanfar, M Maqsood. Multimedia Systems, 1-17, 2021
  • An Arabic mispronunciation detection system based on the frequency of mistakes for Asian speakers
    F Nazir, MN Majeed, MA Ghazanfar, M Maqsood. Mehran University Research Journal Of Engineering & Technology 40 (2), 279-297, 2021
  • Novel online recommendation algorithm for massive open online courses (NoR-MOOCs)
    A Khalid, K Lundqvist, A Yates, MA Ghazanfar. Plos one 16 (1), 2021
  • An effective model for Jaccard coefficient to increase the performance of collaborative filtering
    M Ayub, MA Ghazanfar, T Khan, A Saleem. Arabian Journal for Science and Engineering 45 (12), 9997-10017, 2020
  • Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems
    M Ayub, MA Ghazanfar, Z Mehmood, KH Alyoubi, AS Alfakeeh. Soft Computing 24 (15), 11071-11094, 2020
  • An improved product recommendation method for collaborative filtering
    A Iftikhar, MA Ghazanfar, M Ayub, Z Mehmood, M Maqsood. IEEE Access 8, 123841-123857. 2020
  • Stock market prediction using machine learning classifiers and social media, news
    W Khan, MA Ghazanfar, MA Azam, A Karami, KH Alyoubi, AS Alfakeeh. Journal of Ambient Intelligence and Humanized Computing, 1-24, 2020
  • A novel centroids initialisation for K-means clustering in the presence of benign outliers
    A Karami, S Urréhman, MA Ghazanfar. Int. J. Data Anal. Tech. Strateg. 12 (4), 287-298, 2020
  • Stock market prediction using machine learning classifiers and social media, news
    Wasiat Khan, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Amin Karami, Khaled H Alyoubi, Ahmed S Alfakeeh. 2020. Journal of Ambient Intelligence and Humanized Computing, Pages 1-24.
  • Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis
    KHAASA Wasiat Khan, Usman Malik, Mustansar Ali Ghazanfar, Muhammad Awais Azam. Soft Computing, 2019
  • An IoT based efficient hybrid recommender system for cardiovascular disease
    F Jabeen, M Maqsood, MA Ghazanfar, F Aadil, S Khan, MF Khan. Peer-to-Peer Networking and Applications 12 (5), 1263-1276, 2019
  • Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems
    M Ayub, MA Ghazanfar, Z Mehmood, T Saba, R Alharbey, AM Munshi. PloS one 14 (8), e0220129, 2019
  • Optimized gabor feature extraction for mass classification using cuckoo search for big data e-healthcare
    S Khan, A Khan, M Maqsood, F Aadil, MA Ghazanfar. Journal of Grid Computing 17 (2), 239-254, 2019
  • A performance comparison of machine learning classification approaches for robust activity of daily living recognition
    RG Hussain, MA Ghazanfar, MA Azam, U Naeem, S Ur Rehman. Artificial Intelligence Review 52 (1), 357-379    2019
  • Mispronunciation detection using deep convolutional neural network features and transfer learning-based model for Arabic phonemes
    F Nazir, MN Majeed, MA Ghazanfar, M Maqsood, IEEE Access 7, 52589-52608,  2019

Publications

The last four years of publications can be viewed below. 

Full publications list

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