• 462 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 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

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

An ensemble of locally reliable cluster solutions

Niu, H., Khozouie, N., Parvin, H., Alinejad-Rokny, H., Beheshti, A. & Mahmoudi, M. R., 1 Mar 2020, In : Applied Sciences (Switzerland). 10, 5, 20 p., 1891.

Research output: Contribution to journalArticle

Open Access
  • 1 Citation (Scopus)

    Deep feature learnt by conventional deep neural network

    Niu, H., Xu, W., Akbarzadeh, H., Parvin, H., Beheshti, A. & Alinejad-Rokny, H., Jun 2020, In : Computers and Electrical Engineering. 84, 11 p., 106656.

    Research output: Contribution to journalArticle

  • 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

  • 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).

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

    Open Access
  • 1 Downloads (Pure)

    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

  • 3 Citations (Scopus)