Research output per year
Research output per year
Personal profile
Research Interests
- Artificial Intelligence
- Cyber Security
- Health Informatics.
Research Profile
Dr Kamran Shaukat is a Senior Learning Facilitator at Torrens University Australia and a researcher in the Centre for Artificial Intelligence Research and Optimisation. With more than 13 years of teaching and research experience, he specialises in artificial intelligence, machine learning, cybersecurity, malware detection and health informatics.
Kamran is recognised in the top 2% of researchers globally, with more than 75 peer-reviewed publications, four authored books, an h-index of 36 and over 5,600 citations. He has demonstrated excellence in curriculum development, PhD supervision and international academic collaboration, and is committed to leading industry-relevant programs and interdisciplinary research. Kamran holds a PhD in Computer Science and a Master of Science in Computer Science, and is a member of both ACM and IEEE.
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, The University of Newcastle, Australia
2019 → 2024
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Collaborations and top research areas from the last five years
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A Fusion of Recommendation Techniques to Deliver Personalized Tourism Experience
Majeed, F., Siddique, A., Zafar, M. & Shaukat, K., 2026, In: IET Software. 2026, 1, 9218059.Research output: Contribution to journal › Article › peer-review
Open Access -
A Novel Deep Learning Approach for Alzheimer’s Disease Detection: Attention-Driven Convolutional Neural Networks with Multi-Activation Fusion
Alsubaie, M. G., Luo, S., Shaukat, K., Zhang, W. & Li, J., Dec 2025, In: AI (Switzerland). 6, 12, 324.Research output: Contribution to journal › Article › peer-review
Open Access -
A novel ensemble Wasserstein GAN framework for effective anomaly detection in industrial internet of things environments
Riaz, R., Han, G., Shaukat, K., Khan, N. U., Zhu, H. & Wang, L., Dec 2025, In: Scientific Reports. 15, 1, 26786.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A Novel Method to Investigate Environmental Risk in Wastewater Toxicity
Shakoor, I., Sultan, A., Shaukat, K., Alam, T. M. & Nazir, A., Apr 2025, In: Agronomy. 15, 4, 841.Research output: Contribution to journal › Article › peer-review
Open Access -
A Robust Anomaly Detection Framework in Industrial Internet of Things
Riaz, R., Han, G., Shaukat, K., Khan, N. U. & Wang, L., 2025, (Accepted/In press) In: IEEE Sensors Journal.Research output: Contribution to journal › Article › peer-review