Dr Mustansar Ghazanfar
Interim Director of Education & Experience
Interim Director
Education and Experience
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 lectures 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
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 on Industry 4.0. on GB News London
- in various other media representations across the globe (Faculti, Kay2Tv Pakistan)
- as a keynote speaker at the 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, and socio-economic development.
PUBLICATIONS
Visit the UEL research repository to view a full list of publications.
Publications
Browse past publications by year.
Full publications list
Visit the research repository to view a full list of publications
- Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing Data Intelligence. p. In Press. https://doi.org/10.3724/2096-7004.di.2024.0055
- 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 Machine Learning and Applications: An International Journal (MLAIJ). 10 (2/3), pp. 1-15. https://doi.org/10.5121/mlaij.2023.10301
- 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 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 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) PLoS ONE. 16 (Art. e0245485). https://doi.org/10.1371/journal.pone.0245485
