51cg

People

Dr Riazul Islam

Dr Riazul Islam
Dr Riazul Islam
Dr Riazul Islam

Senior Lecturer

51cg
Email Address
riazul.islam@abdn.ac.uk
Telephone Number
+44 (0)1224 273887
Office Address
345-B Meston Building
Old Aberdeen Campus
Meston Walk
AB24 3UE

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School/Department
School of Natural and Computing Sciences





Biography

S. M. Riazul Islam is an Associate Professor (Senior Lecturer) of Computing Science at the 51cg, UK. His prior affiliations were with the University of Huddersfield, Sejong University, Inha University, Samsung R&D Institute, and the University of Dhaka. He has a Ph.D. in Information Engineering. Dr Islam is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and he is also a Fellow of the Higher Education Academy (FHEA). His research interests include Applied Artificial Intelligence (AI), Medical Diagnosis, Digital Health, Inclusive AI, and Internet of Things.

External Memberships

  • Chair,
  • Editor,
  • Associate Editor, Elsevier Alexandria Engineering Journal
  • Senior Member, IEEE Computer Society
  • Senior Member, IEEE Engineering in Medicine and Biology Society (EMBS)

Latest Publications

  • Microscopic Image Dataset of Fungal Spores for Computer Vision Applications in Tectona Grandis and Other Taxa

    Islam, S. M., Sazzad, M. S. H., Ahamed, M. F., Ahmed, M., Nayon, S. I., Islam, T., Ayon, S. S., Haider, J., Abdullah-Al-Wadud, M., Islam, S. M. R.
    Scientific Data, vol. 12, 2017
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • Securing Blockchain Systems: A Layer-Oriented Survey of Threats, Vulnerability Taxonomy, and Detection Methods

    Islam, M. J., Islam, S., Hossain, M., Noor, S., Islam, S. M. R.
    Future Internet, vol. 17, no. 5, 205
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]

  • Improving Malaria diagnosis through interpretable customized CNNs architectures

    Ahamed, M. F., Nahiduzzaman, M., Mahmud, G., Shafi, F. B., Ayari, M. A., Khandakar, A., Abdullah-Al-Wadud, M., Islam, S. M. R.
    Scientific Reports, vol. 15, 6484
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [OPEN ACCESS]
    • [ONLINE]

  • Streamlining Plant Disease Diagnosis with Convolutional Neural Networks and Edge Devices

    Ahamed, M. F., Salam, A., Nahiduzzaman, M., Abdullah-Al-Wadud, M., Islam, S. M. R.
    Neural Computing and Applications, vol. 36, no. 29, pp. 18445-18477
    Contributions to Journals: Articles
    • [ONLINE] DOI:
    • [ONLINE]

  • A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)

    Nahiduzzaman, M., Abdulrazak, L. F., Ayari, M. A., Khandakar, A., Islam, S. M. R.
    Expert Systems with Applications, vol. 248, 123392
    Contributions to Journals: Articles
    • [ONLINE] DOI:

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Research

Research Overview

Applied AI, Medical Diagnosis, Digital Health, Inclusive AI, and Internet of Things

Research Areas

Computing Science

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Teaching

Programmes

Courses

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