Belal AlsinglawiView profile
Researcher
- Data management and data science
- Distributed computing and systems software
- Cybersecurity and privacy
- +3 more
Dr. Belal Alsinglawi is a Postdoctoral Researcher at Swinburne University's School of Science, Computing and Emerging Technologies. His research focuses on data science, distributed computing, and cybersecurity with applications in healthcare and Industry 5.0. His work bridges theoretical advancements in machine learning and practical implementations in real-world systems such as pandemic modeling, indoor positioning, and medical data-sharing frameworks. Key research interests include: Machine learning for healthcare analytics (e.g., hospital length-of-stay prediction, lung cancer prognosis) IoT and cybersecurity in industrial and healthcare settings Epidemiological modeling of infectious diseases Blockchain architectures for medical data interoperability Recent work explores innovative applications like computational linguistics for WiFi tracking systems and AI-driven sign language app evaluations. His interdisciplinary approach combines technical rigor with societal impact through collaborations in emergency medicine, robotics, and pandemic response strategies. Currently not supervising students, he has contributed to over 40 publications since 2021, focusing on: Pandemic modeling and public health interventions (e.g., Jordan's NPI effectiveness) Cybersecurity frameworks for critical infrastructure Explainable AI systems in clinical decision-making Labs/Teams: Engaged with cross-disciplinary teams in digital health innovation and Industry 5.0 technologies.


