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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CSIRO Data61 Next Generation Graduates Programs: AI in Mental Health
McNaney, R., Olivier, P., Yap, M., Cai, J., Wu, L., Watterson, J., Haffari, R., Qu, L., Wilson Rajaratnam, S., Wang, T., Sharp, G., Alvarez-Jimenez, M., D'Alfonso, S. & Kostakos, V.
Monash University – Internal Department Contribution
5/04/23 → 31/12/27
Project: Research
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CSIRO Data61 Next Generation Graduates Programs: Privacy-Preserving Machine Learning: Technology Development and Adoption
Yuan, X., Liu, J., Ge, Z., Haffari, R., Yang, R., Yi, X., Sakzad, A., Fang, Y., Cui, S., Baiao Dowsley, R., Du, X., Salehi, M., Han, F., Wakefield, R., Abuadbba, S., Wu, T. & Liu, X.
1/01/23 → 31/12/27
Project: Research
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Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation
Gasevic, D., Swiecki, Z., Li, Y., Haffari, R., Hayat, M., Chen, G., Tsai, Y., Do, T., Zhuang, B. & Wang, T.
2/09/22 → 1/09/25
Project: Research
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Machine learning models for personalised epilepsy management
Kwan, P., Chen, B., Zhang, D., Foster, E., Haffari, R., Vaughan, D., Lawn, N. D., Perucca, P., Nicolo, J., Carney, P., Brodie, M. J., Ge, Z. & Anderson, A.
1/01/22 → 31/12/24
Project: Research
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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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LAVA: Label-efficient Visual Learning and Adaptation
Nassar, I., Hayat, M., Abbasnejad, E., Rezatofighi, H., Harandi, M. & Haffari, G., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 147-156 10 p. (Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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BaLeNAS: Differentiable Architecture Search via the Bayesian Learning rule
Zhang, M., Pan, S., Chang, X., Su, S., Hu, J., Haffari, G. & Yang, B., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. Dana, K., Hua, G., Roth, S., Samaras, D. & Singh, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 11861-11870 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
Domain generalisation of NMT: fusing adapters with leave-one-domain-out training
Vu, T-T., Khadivi, S., Phung, D. & Haffari, G., 2022, ACL 2022 - The 60th Annual Meeting of the Association for Computational Linguistics - Findings of ACL 2022. Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 582-588 7 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Fire burns, sword cuts: commonsense inductive bias for exploration in text-based games
Ryu, D. K., Shareghi, E., Fang, M., Xu, Y., Pan, S. & Haffari, R., 2022, ACL 2022, The 60th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). Croce, D., Cotterell, R. & Zhang, J. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 515–522 8 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile4 Citations (Scopus) -
Generate, annotate, and learn: NLP with synthetic text
He, X., Nassar, I., Kiros, J., Haffari, G. & Norouzi, M., 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 826-842 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus)
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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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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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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