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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

Research area keywords

  • Natural Language Processing
  • Deep Learning
  • Artificial intelligence
  • Machine Learning

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2013 2023

Research Output 2002 2019

A comparative study of data-dependent approaches without learning in measuring similarities of data objects

Aryal, S., Ting, K. M., Washio, T. & Haffari, G., 22 Oct 2019, (Accepted/In press) In : Data Mining and Knowledge Discovery. 39 p.

Research output: Contribution to journalArticleResearchpeer-review

Analyzing tumor heterogeneity by incorporating long-range mutational influences and multiple sample data into heterogeneity factorial Hidden Markov model

Rahman, M. S. & Haffari, G., 5 Sep 2019, In : Journal of Computational Biology. 26, 9, p. 985-1002 18 p.

Research output: Contribution to journalArticleResearchpeer-review

Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning

Baggio, D., Peel, T., Peleg, A. Y., Avery, S., Prayaga, M., Foo, M., Haffari, R., Liu, M., Bergmeir, C. & Ananda-Rajah, M., 5 Sep 2019, In : Journal of Clinical Medicine. 8, 9, 13 p., 1390.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Cognate identification to improve phylogenetic trees for Indian languages

Kanojia, D., Bhattacharyya, P., Kulkarni, M. & Haffari, G., 2019, CODS-COMAD 2019 : Proceedings of the 6th ACM IKDD CoDS and 24th COMAD, January 3 - 5, 2019, Kolkata, India. Krishnapuram, R. & Singla, P. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 297-300 4 p. 150

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Early identification of undesirable outcomes for transport accident injured patients using semi-supervised clustering

Khorshidi, H. A., Haffari, G., Aickelin, U. & Hassani-Mahmooei, B., 8 Aug 2019, Digital Health: Changing the Way Healthcare is Conceptualised and Delivered: Selected Papers from the 27th Australian National Health Informatics Conference (HIC 2019). Cummings, E., Merolli, M. & Schaper, L. K. (eds.). Amsterdam Netherlands: IOS Press, p. 1-6 6 p. (Studies in Health Technology and Informatics; vol. 266).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Activities 2016 2016

  • 2 Committees and working groups
  • 1 Professional association or peak discipline body

Member - Faculty Education Committee - Faculty of Information Technology, Monash University

Reza Haffari (Member)
1 Jan 2016

Activity: External Academic EngagementCommittees and working groups

Course Director - Graduate Diploma of Data Science - Faculty of Information Technology, Monash University

Reza Haffari (Executive Member)
1 Jan 2016

Activity: External Academic EngagementProfessional association or peak discipline body

Member - Faculty Research Committee - Faculty of Information Technology, Monash University

Reza Haffari (Member)
1 Jan 2016

Activity: External Academic EngagementCommittees and working groups