Personal profile
Biography
Naveed Khan is a Lecturer in Computing Science at the School of Computing, Ulster University. Before joining Ulster University, he worked as a Research Fellow in Data Analytics at the Centre of Public Health, School of Medicine, Dentistry and Biomedical Sciences at Queen’s University Belfast. Prior to join Queen's, he worked as a Research Associate at the British Telecom Ireland Innovation Centre (BTIIC) within the School of Computing at Ulster University. Additionally, he worked as a Post-Doctoral Researcher in the Nanotechnology and Integrated Bioengineering Centre (NIBEC) in the School of Engineering at Ulster University.
He is a co-investigator within the £3.3M Advanced Research and Engineering Centre project funded by PWC within the thematic area of synthetic data generation. He is also a member of the Peer Review College, Engineering and Physical Sciences Research Council (EPSRC) and a member of the Association for Learning Technology (ALT).
He received his PhD in Change detection in physical human activities from the School of Computing, Ulster University. He received his BSc (Hons) in Computer Science from Hazara University, followed by an MSc in Computer Science (Network Security) from King Saud University. He is also a Fellow of the Higher Education Academy (FHEA) in the UK, demonstrating his commitment to teaching and learning excellence.
His research interests include Explainable AI (XAI), time series data analysis, exploratory data analysis, data engineering, IoT data analysis, concept drift, change detection, activity recognition, and medical image processing using deep learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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Evaluating Fidelity in Synthetic Tabular Data Generation: A Comparative Study of CTGAN and TVAE for Human Activity Recognition Datasets
Liaquat, M., Nugent, C., Cleland, I. & Khan, N., 1 Apr 2026, 17th International Conference on Ubiquitous Computing and Ambient Intelligence. Springer Cham, Vol. 1. p. 15-26 12 p. 2Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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A comparative study of deepfake facial manipulation technique using generative adversarial networks
Al Kishri, W., Yousif, J. H., Al Bahri, M., Zakarya, M., Khan, N., Al Maskari, S. S. & Gurhanli, A., 17 Jun 2025, (Published online) In: Discover Artificial Intelligence. 5, 1, 26 p., 109.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)42 Downloads (Pure) -
Adaptive Federated Learning Framework for Privacy-Preserving Consumer-Centric IoMT: A Novel Secure Data Collaboration Model
Islam, U., Ullah, H., Khan, N., Ahmad, I. & Saleem, K., 5 Sept 2025, (Published online) In: IEEE Transactions on Consumer Electronics. 71, 4, p. 10134-10151 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)184 Downloads (Pure) -
AI-enhanced intrusion detection in smart renewable energy grids: A novel industry 4.0 cyber threat management approach
Islam, U., Ullah, H., Khan, N., Saleem, K. & Ahmad, I., 1 Sept 2025, In: International Journal of Critical Infrastructure Protection. 50, p. 1-16 16 p., 100769.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Link opens in a new tab Citations (Scopus)115 Downloads (Pure) -
An ontological approach to investigate the impact of deep convolutional neural networks in anomaly detection of left ventricular hypertrophy using echocardiography images
Islam, U., Alwageed, H. S., Alyahyan, S., Alghieth, M., Ullah, H. & Khan, N., 28 Feb 2025, In: Image and Vision Computing. 154, p. 1-13 13 p., 105427.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)32 Downloads (Pure)
Thesis
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Change detection in human physical activities
Khan, N. (Author), Zhang, S. (Supervisor), Mc Clean, S. I. (Supervisor) & Nugent, C. (Supervisor), Jan 2018Student thesis: Doctoral Thesis
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Profiles
Projects
- 1 Active
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BTIIC Phase 2 - BT Direct Funding
Scotney, B. (PI), Moore, A. (CoI), Ali, A. (CoI), Ennis, A. (CoI), Nugent, C. (CoI), Charles, D. (CoI), Cruciani, F. (CoI), McLaughlin, J. (CoI), Martinez Carracedo, J. (CoI), Rafferty, J. (CoI), Liu, J. (CoI), Abu-Tair, M. (CoI), Burns, M. (CoI), Khan, N. (CoI), Beaney, P. (CoI), Perry, P. (CoI), McClean, S. (CoI), Moore, S. (CoI), Zhang, S. (CoI) & Tariq, Z. (CoI)
1/04/24 → 31/03/28
Project: Research