• 344 Citations
  • 11 h-Index
20112020
If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

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 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 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 $1.6 million research grants for AI-Enabled and Intelligence-Led projects in Banking and Education.

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 → …

Fingerprint Dive into the research topics where Amin Beheshti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Processing Engineering & Materials Science
Industry Engineering & Materials Science
Query languages Engineering & Materials Science
Semantics Engineering & Materials Science
Business Process Mathematics
Recommender systems Engineering & Materials Science
Context-aware Mathematics
Data-driven Mathematics

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

Projects 2018 2020

A compact and portable electrochemical gas sensor array to spot explosives

Asadniaye Fard Jahromi, M., Warkiani, M., Mukhopadhyay, S., George, B., Jatmiko, W., Kotapalli, A., Beheshti, A. & Razmjou Chaharmahali, A.

1/04/1931/12/20

Project: Other

Trust prediction in online social networks

Ghafari, S., Beheshti, A. & Joshi, A.

16/07/183/04/20

Project: Other

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

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 journalArticleResearchpeer-review

Foundries
Lakes
Feature extraction
National security
Public health

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