• 0 Citations
  • 0 h-Index

Research output per year

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Personal profile


Dr. Amin Beheshti is the Director of AI-enabled Processes (AIP) Research Centre and the head of the Data Analytics Research Lab, Department of Computing, Macquarie University. He is also the Senior Lecturer in Data Science (Macquarie University) and Adjunct Academic in Computer Science (UNSW Sydney). Amin completed his Ph.D. and Postdoc in Computer Science and Engineering in UNSW Sydney and holds a Master and Bachelor in Computer Science both with First Class Honours. In addition to his contribution to teaching activities, Amin extensively contributed to research projects; where he was the R&D Team Lead and Key Researcher in the 'Case Walls & Data Curation Foundry' and 'Big Data for Intelligence' projects. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and has been invited to serve and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair and program committee member of top international conferences. He is the leading author of the book entitled "Process Analytics", co-authored with other high-profile researchers in UNSW and IBM research, recently published by Springer. Amin was able to secure over $3.1 million of research grants for AI-Enabled and Intelligence-Led projects.

Web: https://data-science-group.github.io/people/aminbeheshti/

Education/Academic qualification

The University of New South Wales

31 Mar 20091 Sep 2012

Award Date: 20 Feb 2013

External positions

Adjunct Academic in Computer Science

1 Nov 2017 → …

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Research Output

  • 2 Conference contribution
  • 1 Article

iStory: intelligent storytelling with social data

Beheshti, A., Tabebordbar, A. & Benatallah, B., 2020, The Web Conference 2020: Companion of the World Wide Web Conference WWW 2020. New York, NY: Association for Computing Machinery (ACM), p. 253-256 4 p. (The World Wide Web (WWW) Conference).

Macquarie University

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

Open Access
  • Large scale graph processing systems: survey and an experimental evaluation

    Batarfi, O., Shawi, R. E., Fayoumi, A. G., Nouri, R., Beheshti, S-M-R., Barnawi, A. & Sakr, S., 30 Sep 2015, In : Cluster Computing. 18, 3, p. 1189-1213 25 p.

    Research output: Contribution to journalArticleResearchpeer-review

  • On characterizing the performance of distributed graph computation platforms

    Barnawi, A., Batarfi, O., Behteshi, S. M. R., Elshawi, R., Fayoumi, A., Nouri, R. & Sakr, S., 2015, Performance Characterization and Benchmarking: Traditional to Big Data - 6th TPC Technology Conference, TPCTC 2014, Revised Selected Papers. Nambiar, R. & Poess, M. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 29-43 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8904).

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