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  • 70 Cowcaddens Road, Glasgow Caledonian University

    G4 0BA Glasgow

    United Kingdom

Accepting PhD Students

PhD projects

1. Explainable AI: Improving Understanding of Automated Medical Image Classification
2. Edge-cloud Blockchain for Secure Healthcare Data Management
3. Digital Twin enabled Personalised Healthcare with Federated Learning

20112026

Research activity per year

Personal profile

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):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  6. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  7. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  8. SDG 15 - Life on Land
    SDG 15 Life on Land

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Dive into the research topics where Sajid Nazir is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Interpretable chest x-ray diagnosis with deep learning and explainable AI

    Khan, S. H. & Nazir, S., 2 Jun 2026, Explainable Artificial Intelligence for Medical Data Analytics and Healthcare Applications. Naik, G. R. (ed.). Springer Singapore, p. 115-140 26 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  • Thermoelectric energy harvesting system for wearable electronics

    Ur Rahman , M., Kaleem, M. & Nazir, S., 29 Jan 2026, Computational Intelligent Systems: Applications of AI and Machine Learning. Uddin, M. I., Aziz, F. & Jafari, H. (eds.). Springer Singapore, p. 331-347 17 p. (Infosys Science Foundation Series in Mathematical Sciences).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access
    File
    162 Downloads (Pure)
  • Blockchain-enabled digital twin system for brain stroke prediction

    Upadrista, V., Nazir, S. & Tianfield, H., 14 Jan 2025, In: Brain Informatics. 12, 1, 15 p., 1.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    20 Citations (Scopus)
    66 Downloads (Pure)
  • Dementia prediction with multimodal clinical and imaging data

    Kubi, N. N. B. A. & Nazir, S., Jan 2025, In: International Journal of Information Technology. 17, p. 5-16 12 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    32 Citations (Scopus)
    179 Downloads (Pure)
  • Federated learning for Remote Health Monitoring: a review

    Upadrista, V., Nazir, S. & Tianfield, H., 26 Sept 2025, Federated Learning Applications in the Industrial Internet of Everything (IoE). Mohana, R., Sharma, A., Nayyar, A. & Saini, P. (eds.). Springer, Cham, p. 59-98 40 p. (Studies in Systems, Decision and Control; vol. 611).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

    Open Access
    File
    1 Downloads (Pure)