• 327 Citations
  • 11 h-Index
20112023
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Personal profile

Biography

Dr Amin Beheshti is the head of the Data Analytics Research Group, Department of Computing, Macquarie University. He is also the Lecturer in Data Science (Macquarie University) and Adjunct Lecturer 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 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.

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 Lecturer in Computer Science , The University of New South Wales

1 Nov 2017 → …

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

Projects 2018 2023

Research Outputs 2011 2019

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 contributionResearchpeer-review

Recommender systems
Recommendations
Factorization
Decision making
Feedback

iCOP: IoT-enabled policing processes

Schiliro, F., Beheshti, A., Ghodratnama, S., Amouzgar, F., Benatallah, B., Yang, J., Sheng, Q. Z., Casati, F. & Motahari-Nezhad, H. R., 1 Jan 2019, Service-Oriented Computing – ICSOC 2018 Workshops: ADMS, ASOCA, ISYyCC, CloTS, DDBS, and NLS4IoT, Revised Selected Papers. Liu, X., Mrissa, M., Zhang, L., Benslimane, D., Ghose, A., Wang, Z., Bucchiarone, A., Zhang, W., Zou, Y. & Yu, Q. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 447-452 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11434 LNCS).

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

Internet of Things
Data-driven
Law enforcement
Business Process
Industry

iSheets: a spreadsheet-based machine learning development platform for data-driven process analytics

Amouzgar, F., Beheshti, A., Ghodratnama, S., Benatallah, B., Yang, J. & Sheng, Q. Z., 1 Jan 2019, Service-Oriented Computing – ICSOC 2018 Workshops: ADMS, ASOCA, ISYyCC, CloTS, DDBS, and NLS4IoT, Revised Selected Papers. Liu, X., Mrissa, M., Zhang, L., Benslimane, D., Ghose, A., Wang, Z., Bucchiarone, A., Zhang, W., Zou, Y. & Yu, Q. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 453-457 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11434 LNCS).

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

Spreadsheet
Spreadsheets
Data-driven
Learning systems
Machine Learning

On automating basic data curation tasks

Beheshti, S. M. R., Tabebordbar, A., Benatallah, B. & Nouri, R., 1 Jan 2019, Proceedings of the 26th International Conference on World Wide Web Companion , WWW 2017 Companion. International World Wide Web Conferences Steering Committee, p. 165-169 5 p.

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

Open Access
File
Application programming interfaces (API)
Sorting
Merging
Industry
Productivity

SETTRUST: Social Exchange Theory based context-aware trust prediction in Online Social Networks

Ghafari, S. M., Yakhchi, S., Beheshti, A. & Orgun, M., 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. 46-61 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 contributionResearchpeer-review

Context-aware
Social Networks
Prediction
Factorization
Costs