Dr Riazul Islam
Senior Lecturer
- About
-
- Email Address
- riazul.islam@abdn.ac.uk
- Office Address
- School/Department
- School of Natural and Computing Sciences
Biography
S. M. Riazul Islam is an Associate Professor (Senior Lecturer) of Computing Science at the University of Aberdeen, 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
- Associate Editor, Elsevier Alexandria Engineering Journal (IF: 6.8)
- Senior Member, IEEE Computer Society
- Senior Member, IEEE Engineering in Medicine and Biology Society (EMBS)
Latest Publications
Streamlining Plant Disease Diagnosis with Convolutional Neural Networks and Edge Devices
Neural Computing and Applications, vol. 36, no. 29, pp. 18445-18477Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s00521-024-10152-y
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)
Expert Systems with Applications, vol. 248, 123392Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.eswa.2024.123392
Securing Vehicle-to-Drone (V2D) Communications:: Challenges and Solutions
Deception in Autonomous Transport Systems:: Threats, Impacts and Mitigation Policies. 1 edition. Springer, pp. 163-180, 18 pagesChapters in Books, Reports and Conference Proceedings: Chapters (Peer-Reviewed)- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-55044-7_11
A Holistic Analysis of Internet of Things (IoT) Security: Principles, Practices, and New Perspectives
Future Internet, vol. 16, no. 2, 40Contributions to Journals: ArticlesEnhancing Physical Layer Secrecy Performance for RIS-assisted RF-FSO Mixed Wireless System
IEEE Access, vol. 11, pp. 127737-127753Contributions to Journals: Articles
- Research
-
Research Overview
Applied AI, Medical Diagnosis, Digital Health, Inclusive AI, and Internet of Things
Research Areas
Computing Science
Applied Health Sciences
- Teaching
-