Projects per year
Personal profile
Biography
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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 2009 → 1 Sep 2012
External positions
Adjunct Lecturer in Computer Science , The University of New South Wales
1 Nov 2017 → …Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2023
- 5 Active
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.
1/04/19 → 31/12/20
Project: Other
Cognitive Social Network Analytics: Towards Intelligent Behavioural Disorders Detection from Online Social Networks
Beheshti, A. & Yang, J.
1/01/19 → 31/12/20
Project: Other
Trust prediction in online social networks
Ghafari, S., Beheshti, A. & Joshi, A.
16/07/18 → 3/04/20
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 proceeding › Conference proceeding contribution › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-review
Context-aware
Social Networks
Prediction
Factorization
Costs