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
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):
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
Collaborations and top research areas from the last five years
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FIT Ignite: Trust-Aware Adaptive AI for Next-Generation Water Utility Decision Support
Rastgoo, N. (Primary Chief Investigator (PCI)), Vu, T. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)) & Cotton, J. (Partner Investigator (PI))
11/02/26 → 10/05/27
Project: Research
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IndigiSEA - Indigenous Digital Futures for Southeast Asia
Lay Ki, S. (Primary Chief Investigator (PCI)), Wijaya, D. (Chief Investigator (CI)), Wong, K. S. (Chief Investigator (CI)), Olivier, P. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Alshehri, T. (Chief Investigator (CI)), Saee, S. (Chief Investigator (CI)), Daud, A. (Chief Investigator (CI)), Wong, E. (Chief Investigator (CI)) & Abdullah, S. (Chief Investigator (CI))
1/12/25 → 28/02/27
Project: Research
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Bidirectional trust modelling: Bidirectional trust modelling in Human-machine teaming in dynamic environments
Rastgoo, N. (Primary Chief Investigator (PCI)) & Haffari, R. (Chief Investigator (CI))
10/01/25 → 9/01/27
Project: Research
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Aligning Large Language Models with Human Intention: Aligning Large Language Models with Human Intention
Haffari, R. (Primary Chief Investigator (PCI)) & Vu, T. (Chief Investigator (CI))
4/07/23 → 21/12/26
Project: Research
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HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems
Rezatofighi, H. (Primary Chief Investigator (PCI)), Garcia De La Banda Garcia, M. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Stuckey, P. (Chief Investigator (CI)), Gasevic, D. (Chief Investigator (CI)), Gutierrez, J. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Ignatiev , A. (Chief Investigator (CI)), Swiecki, Z. (Chief Investigator (CI)), Vered, M. (Chief Investigator (CI)), Chen, G. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
20/06/23 → 20/02/27
Project: Research
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VIEW2SPACE: Studying Multi-view Visual Reasoning from Sparse Observations
Ke, F., Cai, Z., Li, B., Chen, L., Lin, B., Wang, W., Delir Haghighi, P., Haffari, R. & Rezatofighi, H., 2026, Computer Vision – ECCV 2026 19th European Conference Malmö, Sweden, September 8–12,2026 Proceedings, Part XXX. Favaro, P., Kukelova, Z., Maki, A., Rohrbach, A., Schindler, K. & Tombari, F. (eds.). Cham Switzerland: Springer, p. 520-538 19 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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ACCESS: A Benchmark for Abstract Causal Event Discovery and Reasoning
Vo, V., Qu, L., Feng, T., Hua, Y., Kang, X., Fan, S., Dwyer, T., Soon, L. K. & Haffari, G., 2025, NAACL 2025, Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, Proceedings of the Conference Volume 1: Long Papers . Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Kerrville TX USA: Association for Computational Linguistics (ACL), p. 1049-1074 26 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
Active Continual Learning: On Balancing Knowledge Retention and Learnability
Vu, T.-T., Khadivi, S., Ghorbanali, M., Phung, D. & Haffari, G., 2025, AI 2024, AI 2024: Advances in Artificial Intelligence, 37th Australasian Joint Conference on Artificial Intelligence, AI 2024 Melbourne, VIC, Australia, November 25–29, 2024 Proceedings, Part II. Gong, M., Song, Y., Koh, Y. S., Xiang, W. & Wang, D. (eds.). Singapore Singapore: Springer, p. 137-150 14 p. (Lecture Notes in Computer Science; vol. 15443).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
3 Link opens in a new tab Citations (Scopus) -
Audio Is the Achilles’ Heel: Red Teaming Audio Large Multimodal Models
Yang, H., Qu, L., Shareghi, E. & Haffari, R., 2025, NAACL 2025, Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics Proceedings of the Conference Volume 1: Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Kerrville TX USA: Association for Computational Linguistics (ACL), p. 9292–9306 15 p. 2025.naacl-long.470Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Luo, L., Ju, J., Xiong, B., Li, Y. F., Haffari, G. & Pan, S., 2025, Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Sydney, NSW, Australia, June 10–13, 2025 Proceedings, Part II. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Wu, Y., Wu, Z. & Yao, Y. (eds.). Singapore Singapore: Springer, p. 314-325 12 p. (Lecture Notes in Computer Science; vol. 15871).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
17 Link opens in a new tab Citations (Scopus)
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Course Director - Graduate Diploma of Data Science - Faculty of Information Technology, Monash University
Haffari, R. (Executive Member)
1 Jan 2016Activity: External Academic Engagement › Professional association or peak discipline body
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Member - Faculty Research Committee - Faculty of Information Technology, Monash University
Haffari, R. (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
Haffari, R. (Member)
1 Jan 2016Activity: External Academic Engagement › Committees and working groups