Projects per year
Personal profile
Biography
Reza's work is focused on Artificial Intelligence (AI), particularly in low-level perception and high-level reasoning under uncertainty, mainly from text and potentially from other data modalities such as vision and speech. His research tackles problems such as:
- Understanding and generating natural language text eg translating documents from one language to another while keeping the document's coherency/semantics intact.
- Effective training of deep neural networks with minimal human supervision as this powerful technology is data hungry, eg through interaction with human to achieve effective lifelong learning.
- Explaining the outcome of black-box computational models in order to make them trustable in critical decision making scenarios such as digital health.
Monash teaching commitment
Reza has experience as the Chief Examiner for the following units in the Faculty of IT:
- FIT1045 Algorithms and programming fundamentals in python
- FIT1053 Algorithms and programming fundamentals in python (advanced)
- FIT2004 Algorithms and data structures
- FIT5201 Data analysis algorithms
Reza has experience as the Lecturer for the following units in the Faculty of IT:
- FIT1045 Algorithms and programming fundamentals in python
- FIT2004 Algorithms and data structures
- FIT3080 Intelligent systems
- FIT4005/FIT5185 IT research methods
- FIT4009 Advanced topics in intelligent systems
- FIT5201 Data analysis lgorithms
Education/Academic qualification
Computer Science, Doctor of Philosophy, Simon Fraser University
Award Date: 26 Feb 2010
Artificial Intelligence, Master of Science, Sharif University of Technology
Award Date: 31 Aug 2002
Software Engineering, Bachelor of Science, Sharif University of Technology
Award Date: 31 Aug 2000
Research area keywords
- Natural Language Processing
- Deep Learning
- Artificial intelligence
- Machine Learning
Network
Projects
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Exploiting Context in Multilingual Understanding and Generation
Australian Research Council (ARC)
20/11/20 → 19/11/24
Project: Research
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Reasoning under Uncertainty with Natural Language (2)
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
1/06/20 → 30/06/22
Project: Research
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Explaining the outcomes of complex models
Zukerman, I., Haffari, R. & Reiter, E.
1/07/19 → 30/06/22
Project: Research
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Explaining the outcomes of complex computational models (Explainable AI)
Situ, S., Zukerman, I., Haffari, R., Paris, C. & Xu, C.
1/07/18 → 18/03/22
Project: Research
Research output
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A comparative study of data-dependent approaches without learning in measuring similarities of data objects
Aryal, S., Ting, K. M., Washio, T. & Haffari, G., 2020, In : Data Mining and Knowledge Discovery. 34, 1, p. 124-162 39 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
An interpretable algorithm on post-injury health service utilization patterns to predict injury outcomes
Akbarzadeh Khorshidi, H., Hassani-Mahmooei, B. & Haffari, G., Sep 2020, In : Journal of Occupational Rehabilitation. 30, p. 331–342 12 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Contextual neural machine translation improves translation of cataphoric pronouns
Wong, K., Maruf, S. & Haffari, R., Jul 2020, ACL 2020 - The 58th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Chai, J., Schluter, N. & Tetreault, J. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 5971-5978 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Learning how to active learn by dreaming
Vu, T. T., Liu, M., Phung, D. & Haffari, G., Jul 2020, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Korhonen, A., Traum, D. & Màrquez, L. (eds.). Florence Italy: Association for Computational Linguistics (ACL), p. 4091-4101 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile3 Citations (Scopus) -
Reasoning like human: Hierarchical Reinforcement Learning for Knowledge Graph reasoning
Wan, G., Pan, S., Gong, C., Zhou, C. & Haffari, G., 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence . Bessiere, C. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 1926-1932 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile
Activities
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Member - Faculty Education Committee - Faculty of Information Technology, Monash University
Reza Haffari (Member)
1 Jan 2016Activity: External Academic Engagement › Committees and working groups
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Member - Faculty Research Committee - Faculty of Information Technology, Monash University
Reza Haffari (Member)
1 Jan 2016Activity: External Academic Engagement › Committees and working groups
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Course Director - Graduate Diploma of Data Science - Faculty of Information Technology, Monash University
Reza Haffari (Executive Member)
1 Jan 2016Activity: External Academic Engagement › Professional association or peak discipline body