Dr Mustansar Ali Ghazanfar

NameDr Mustansar Ali Ghazanfar
ORCIDhttps://orcid.org/0000-0003-1967-6273
Job titleAssociate Professor
Email addressmghazanfar@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Shifting the Weight: Applications of AI in Olympic Weightlifting

Bolarinwa, D., Qazi, N. and Ghazanfar, M. 2023. Shifting the Weight: Applications of AI in Olympic Weightlifting. PRDC 2023: 28th IEEE Pacific Rim International Symposium on Dependable Computing. Singapore 24 - 27 Oct 2023 IEEE. https://doi.org/10.1109/PRDC59308.2023.00051

A reinforcement learning recommender system using bi-clustering and Markov Decision Process

Iftikhar, A., Ghazanfar, M. A., Ayub, M., Alahmari, S. A., Qazi, N. and Wall, J. 2024. A reinforcement learning recommender system using bi-clustering and Markov Decision Process. Expert Systems with Applications. 237 (Art.), p. 121541. https://doi.org/10.1016/j.eswa.2023.121541

Sentiment-Driven Cryptocurrency Price Prediction: A Machine Learning Approach Utilizing Historical Data and Social Media Sentiment Analysis

Bhatt, S., Ghazanfar, M. and Amirhosseini, M. 2023. Sentiment-Driven Cryptocurrency Price Prediction: A Machine Learning Approach Utilizing Historical Data and Social Media Sentiment Analysis. Machine Learning and Applications: An International Journal (MLAIJ). 10 (2/3), pp. 1-15. https://doi.org/10.5121/mlaij.2023.10301

Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment

Bhatt, S., Ghazanfar, M. and Amirhosseini, M. 2023. Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment . 5th International Conference on Machine Learning & Applications (CMLA 2023). Sydney, Australia 17 - 18 Jun 2023 AIRCC Publishing Corporation.

Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark

Chaudhury, M., Karami, A. and Ghazanfar, M. A. 2022. Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark. Electronics. 11 (16), p. 2567. https://doi.org/10.3390/electronics11162567

A novel DeepMaskNet model for face mask detection and masked facial recognition

Ullah, N., Javed, A., Ghazanfar, M., Alsufyani, A. and Bourouis, S. 2022. A novel DeepMaskNet model for face mask detection and masked facial recognition. Journal of King Saud University - Computer and Information Sciences. 30 (10-B), pp. 9905-9914. https://doi.org/10.1016/j.jksuci.2021.12.017

Asset Criticality and Risk Prediction for an Effective Cyber Security Risk Management of Cyber Physical System

Kure, H. I., Islam, S., Ghazanfar, M., Raza, A. and Pasha, M. 2021. Asset Criticality and Risk Prediction for an Effective Cyber Security Risk Management of Cyber Physical System. Neural Computing and Applications. 34, p. 493–514. https://doi.org/10.1007/s00521-021-06400-0

Novel online Recommendation algorithm for Massive Open Online Courses (NoR-MOOCs)

Khalid, A., Lundqvist, K., Yates, A. and Ghazanfar, M. 2021. Novel online Recommendation algorithm for Massive Open Online Courses (NoR-MOOCs). PLoS ONE. 16 (Art. e0245485). https://doi.org/10.1371/journal.pone.0245485

A novel centroids initialisation for K-means clustering in the presence of benign outliers

Karami, A., Ur Rehman, S. and Ghazanfar, M. 2020. A novel centroids initialisation for K-means clustering in the presence of benign outliers. International Journal of Data Analysis Techniques and Strategies. 12 (4), pp. 287-298. https://doi.org/10.1504/IJDATS.2020.111498

Identifying Users with Wearable Sensors based on Activity Patterns

Ehatisham-ul-Haq, M., Malik, M. N., Azam, M. A., Naeem, U., Khalid, A. and Ghazanfar, M. 2020. Identifying Users with Wearable Sensors based on Activity Patterns. The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020). Madeira, Portugal 02 - 05 Nov 2020 Elsevier. https://doi.org/10.1016/j.procs.2020.10.005

Stock market prediction using machine learning classifiers and social media, news

Khan, W., Ghazanfar, M., Azam, M. A., Karami, A., Alyoubi, K. H. and Alfakeeh, A. S. 2020. Stock market prediction using machine learning classifiers and social media, news. Journal of Ambient Intelligence and Humanized Computing. 13, pp. 3433-3456. https://doi.org/10.1007/s12652-020-01839-w

Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems

Ayub, M., Ghazanfar, M., Mehmood, Z., Saba, T., Alharbey, R., Munshi, A. M. and Alrige, M. A. 2019. Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems. PLoS ONE. 14 (Art. e0220129). https://doi.org/10.1371/journal.pone.0220129

Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm

Iqbal, Misbah, Ghazanfar, M., Sattar, Asma, Maqsood, Muazzam, Khan, Salabat, Mehmood, Irfan and Baik, Sung Wook 2019. Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm. IEEE Access. 7, pp. 24719-24737. https://doi.org/10.1109/ACCESS.2019.2897003

A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation between Stock Markets

Khan, U., Aadil, F., Ghazanfar, M., Khan, S., Metawa, N., Muhammad, K., Mehmood, I. and Nam, Y. 2018. A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation between Stock Markets. Sustainability. 10 (Art. 3702). https://doi.org/10.3390/su10103702
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