Dr Masoud Fetanat
Ph.D. UNSW Sydney
Dr Masoud Fetanat is a researcher, academic and applied AI practitioner working across artificial intelligence, machine learning, data science, generative AI, business analytics and information systems. He has extensive academic and industry experience developing and deploying AI and data-driven solutions across healthcare, financial services, engineering and AI product development.
His research interests include deep learning, predictive modelling, data science and business analytics, generative AI and large language models, trustworthy and responsible AI, agentic AI, MLOps and cloud AI systems, information systems and AI-enabled digital transformation, and biomedical and applied AI. He is particularly interested in translating advances in AI and data science into practical technologies, intelligent systems and decision-support tools that address real-world problems across business, finance, healthcare and engineering.
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
I contribute to the international research community through peer-review service for journals across artificial intelligence, machine learning, data science, optimisation, intelligent systems, signal processing and applied engineering.
I have served as a reviewer for journals including:
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Medical Imaging
- IEEE Transactions on Systems, Man, and Cybernetics
- IEEE Transactions on Biomedical Engineering
- IEEE Transactions on Industrial Informatics
- IEEE Internet of Things Journal
- IEEE Journal of Biomedical and Health Informatics
- IEEE Transactions on Cybernetics
- IEEE Transactions on Affective Computing
- IEEE Access
- Knowledge-Based Systems
- Expert Systems with Applications
- Applied Soft Computing
- Information Fusion
- Information Sciences
- Engineering Applications of Artificial Intelligence
- Biomedical Signal Processing and Control