Research output per year
Research output per year
Personal profile
Research Interests
- Artificial Intelligence
- Cyber Security
- Health Informatics.
Research Profile
Kamran Shaukat is an early career researcher and recently joined Torrens University Australia as a Learning Facilitator. He is also a member of the Centre for Artificial Intelligence Research and Optimisation.
In 2023, he was named in the top 2% worldwide in Artificial Intelligence by Standford University.
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):
Education/Academic qualification
PhD (Computer Science), Pattern Recognition and Machine Learning Techniques for Cyber Security
2019 → 2024
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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
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Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Alsubaie, M. G., Luo, S. & Shaukat, K., Mar 2024, In: Machine Learning and Knowledge Extraction. 6, 1, p. 464-505 42 p.Research output: Contribution to journal › Review article › peer-review
Open Access4 Citations (Scopus) -
An Intelligent Mechanism to Detect Multi-Factor Skin Cancer
Abdullah, Siddique, A., Shaukat, K. & Jan, T., Jul 2024, In: Diagnostics. 14, 13, 1359.Research output: Contribution to journal › Article › peer-review
Open Access -
A novel machine learning approach for detecting first-time-appeared malware
Shaukat, K., Luo, S. & Varadharajan, V., 2024, In: Engineering Applications of Artificial Intelligence. 131Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
ConvADD: Exploring a Novel CNN Architecture for Alzheimer’s Disease Detection
Alsubaiea, M. G., Luo, S. & Shaukat, K., 2024, In: International Journal of Advanced Computer Science and Applications. 15, 4, p. 300-313 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models
Alharbi, F., Luo, S., Zhang, H., Shaukat, K., Yang, G., Wheeler, C. A. & Chen, Z., 2023, In: Sensors. 23, 4Research output: Contribution to journal › Article › peer-review
27 Citations (Scopus)