Fazle Rabbi

Fazle Rabbi is an Associate Professor at the University of Bergen's Department of Information and Media Studies, affiliated with the Intelligent Information Systems (I2S) research group. His research focuses on model-driven engineering, healthcare informatics, and adaptive e-mental health systems. He has contributed to projects like the INTROMAT initiative, which integrates interdisciplinary approaches to improve mental healthcare through technology.

Education: PhD in Computer Science from the University of Oslo (2017), supervised by Ingrid Chieh Yu, Yngve Lamo, and Lars Michael Kristensen. His doctoral work centered on model-driven techniques for complex software systems analysis.

Research Interests: His work spans healthcare system design, privacy-preserving machine learning, clinical decision support systems, and the application of AI in journalism and mental health. Notable contributions include frameworks for news content analysis, gamified clinical guideline training systems, and adaptive infrastructure for internet-delivered psychological treatments.

Collaborations: Active in cross-disciplinary projects funded by the Research Council of Norway (e.g., Project 259293). Key collaborators include Tine Nordgreen (mental health), Yngve Lamo (model-driven engineering), and Jim Tørresen (AI applications).

Grants: Lead and co-investigator on several grants focusing on e-mental health infrastructure development and AI-driven healthcare solutions.