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 Educationthe 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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