معرفی
Reza Haffari is a Professor in the Department of Data Science & AI at Monash University, within the Faculty of Information Technology. His research focuses on Artificial Intelligence, particularly in low-level perception and high-level reasoning under uncertainty from text and other modalities like vision and speech. Key areas include natural language understanding, semi-supervised learning, and model explainability for critical applications such as healthcare.
Education:
- Doctor of Philosophy in Computer Science, Simon Fraser University (2010)
- Master of Science in Artificial Intelligence, Sharif University of Technology (2002)
- Bachelor of Science in Software Engineering, Sharif University of Technology (2000)
Teaching Commitments:
- Chief Examiner for courses: FIT1045, FIT1053, FIT2004, FIT5201
- Lecturer for units: FIT1045, FIT2004, FIT3080, FIT4005/FIT5185, FIT4009, FIT5201
Research Projects (2023–2027):
- Principal Investigator for Aligning Large Language Models with Human Intention
- Chief Investigator in Trustworthy Generative AI, Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems, and CSIRO Mental Health AI
Research Trends in Articles:
Recent work emphasizes continual learning, multimodal models, and ethical AI alignment. Key themes include adapting models to dynamic environments, ensuring safety in large language systems, and integrating causal reasoning with machine learning.
Labs & Teams:
Active in the Data Science & AI Group at Monash, collaborating on projects involving generative AI, neuro-symbolic systems, and healthcare applications.
