Profile
Dr Kamal Berahmand
- Casual Research Assistant
- The University of Queensland
Dr. Kamal Berahmand is a Postdoctoral Research Fellow in the School of Computing Technologies at RMIT University, Melbourne. His research spans machine learning, graph representation learning, and network science, with a strong emphasis on both theoretical innovation and real-world applications. With a solid track record of impactful publications and cross-disciplinary collaborations, he is dedicated to advancing scalable and interpretable graph-based methods that can support complex systems such as transportation networks, social platforms, and biological systems.
Kamal is currently working as a Casual Research Assistant with CIRES from February 2025 supervised by CIRES Centre Chief Investigator, Associate Professor Hassan Khosravi on the On-demand Dataset Builder project.
This project will develop a prototype system to showcase the scalability, reliability, and usability of an AI-assisted dataset builder for effective and efficient discovery and curation of multi-source and multi-modal educational data. Working in close collaboration with domain experts and end users from the Queensland Department of Education, the project team will review and investigate best practices for constructing on-demand data sets and the concept of “data as a service”. The project will also develop new methods for AI-assisted on-demand dataset builder and will evaluate with a human-centred lens. The research will result in validated methods and a prototype implementation of the system, road-tested with end users.
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