• 435 Citations
  • 13 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 PhD 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 $2 million research grants for AI-Enabled and Intelligence-Led projects.

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

Education/Academic qualification

Computer Science and Engineering, PhD, The University of New South Wales

31 Mar 20091 Sep 2012

External positions

Adjunct Academic in Computer Science , The University of New South Wales

1 Nov 2017 → …

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Research Outputs

Intelligent knowledge lakes: the age of Artificial Intelligence and big data

Beheshti, A., Benatallah, B., Sheng, Q. Z. & Schiliro, F., 2020, Web Information Systems Engineering: WISE 2019 Workshop, Demo, and Tutorial, Revised Selected Papers. U, L. H., Yang, J., Cai, Y., Karlapalem, K., Liu, A. & Huang, X. (eds.). Singapore: Springer, Springer Nature, p. 24-34 11 p. (Communications in Computer and Information Science; vol. 1155 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • personality2Vec: enabling the analysis of behavioral disorders in social networks

    Beheshti, A., Moraveji-Hashemi, V., Yakhchi, S., Motahari-Nezhad, H. R., Ghafari, S. M. & Yang, J., 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. New York: Association for Computing Machinery, Inc, p. 825-828 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • 2 Citations (Scopus)

    CNR: cross-network recommendation embedding user’s personality

    Yakhchi, S., Ghafari, S. M. & Beheshti, A., 1 Jan 2019, Data Quality and Trust in Big Data: 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers. Hacid, H., Sheng, Q. Z., Yoshida, T., Sarkheyli, A. & Zhou, R. (eds.). Springer-VDI-Verlag GmbH & Co. KG, p. 62-77 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11235 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • DataSynapse: a social data curation foundry

    Beheshti, A., Benatallah, B., Tabebordbar, A., Motahari-Nezhad, H. R., Barukh, M. C. & Nouri, R., Sep 2019, In : Distributed and Parallel Databases. 37, 3, p. 351-384 34 p.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    DCAT: a Deep Context-Aware Trust Prediction approach for Online Social Networks

    Ghafari, S. M., Joshi, A., Beheshti, A., Paris, C., Yakhchi, S. & Orgun, M., 2019, Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019). Haghighi, P. D., Salvadori, I. L., Steinbauer, M., Khalil, I. & Anderst-Kotsis, G. (eds.). New York, NY: Association for Computing Machinery (ACM), 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution