Projects per year
Personal profile
Biography
| Prof. Dr. Amin Beheshti is a Full Professor of Data Science and the Director of AI-enabled Processes (AIP) Research Centre, School of Computing, Macquarie University. Amin is also the head of the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at 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 served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. He is the leading author of several authored books in data, social, and process analytics, co-authored with other high-profile researchers. Amin was able to secure over $10 Million in Research Grants for AI-Enabled, Data-Centric, and Intelligence-Led projects. |
Education/Academic qualification
Computer Science and Engineering, PhD, The University of New South Wales
31 Mar 2009 → 1 Sep 2012
Award Date: 20 Feb 2013
External positions
Adjunct Academic 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.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Embedded sensing system for continuous crack monitoring in concrete pavements
Asadniaye Fard Jahromi, M., Abbassi, R., Withford, M., Beheshti, A., Salehi, F., Vimonsatit, S., Mukhopadhyay, S., Alipour Esgandani, G., Garaniya, V., Srivastava , H., Asadi , H., Henwood , S., Rahnamayiezekavat , P., Ben, B., Rushmer, T. & Clark, S.
Macquarie University, Transport NSW
29/04/22 → 28/04/25
Project: Research
-
Intelligent Data Science Pipelines
Beheshti, A., Sheng, M., Wu, J. & Asadniaye Fard Jahromi, M.
2/11/21 → 1/09/24
Project: Research
-
MQRAS 21: Artificial Intelligence enabled livestock transport
Asadniaye Fard Jahromi, M., Beheshti, A., Abbassi, R., Orr, B. & Recugnat, M.
1/10/21 → 30/09/22
Project: Research
-
MQRAS 21: Counteracting cognitive and social biases experienced by First Nations People in the legal system
Ghezelbash, D., Ross, R., Levy, N., Beheshti, A., Dozer, A., Newhouse, G., Gallagher, R. & Dutta-Powell, R.
14/09/21 → 6/10/22
Project: Research
-
Intelligent Risk Assessment for Financial Services
Beheshti, A., Wu, J., Alinejad Rokny, H., Zhang, X., Jolfaei, A. & Wood, S.
25/06/21 → 1/07/25
Project: Research
Research Outputs
-
A convolutional attention network for unifying general and sequential recommenders
Yakhchi, S., Behehsti, A., Ghafari, S. M., Razzak, I., Orgun, M. & Elahi, M., Jan 2022, In: Information Processing and Management. 59, 1, p. 1-12 12 p., 102755.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Artificial intelligence and data science in environmental sensing
Asadnia, M. (ed.), Razmjou, A. (ed.) & Beheshti, A. (ed.), 2022, London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK: Academic Press. 305 p. (Cognitive Data Science in Sustainable Computing)Research output: Book/Report › Edited Book/Anthology › peer-review
-
ComGA: community-aware attributed graph anomaly detection
Luo, X., Wu, J., Beheshti, A., Yang, J., Zhang, X., Wang, Y. & Xue, S., 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. New York, NY: Association for Computing Machinery, Inc, p. 657-665 9 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
-
3D shallow deep neural network for fast and precise segmentation of left atrium
Kausar, A., Razzak, I., Shapiai, M. I. & Beheshti, A., 27 Mar 2021, (E-pub ahead of print) In: Multimedia Systems. 11 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Advances in printable devices for biomedical applications
Zandi, S., Baharfar, M., Moazzam, P., Razmjou, A., Beheshti, A. & Asadnia, M., 2021, Printed and flexible sensor technology: fabrication and applications. Mukhopadhyay, S. C. & Nag, A. (eds.). Bristol, UK: IOP Publishing, p. 4-1-4-28 28 p. (IOP Series in Sensors and Sensor Systems).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Prizes
-
ACM MoMM 2020, Best Paper Award
Ghafari, S. (Recipient), Beheshti, Amin (Recipient), Joshi, A. (Recipient), Paris, C. (Recipient), Yakhchi, S. (Recipient), Jolfaei, Alireza (Recipient) & Orgun, Mehmet (Recipient), 2020
Prize
-
Australian Postgraduate Award (APA), Australian Government, 2009-2012
Beheshti, Amin (Recipient), 2009
Prize
-
Engineering Excellence Top-Up Scholarship (EETS), UNSW Australia, 2009-2012
Beheshti, Amin (Recipient), 2009
Prize
-
IEEE ICDM 2021, Best Paper Award
Zhang, G. (Recipient), Wu, Jia (Recipient), Yang, J. (Recipient), Beheshti, Amin (Recipient), Xue, S. (Recipient), Zhou, C. (Recipient) & Sheng, Michael (Recipient), 2021
Prize
-
IEEE ICSE-SE4COG 2018, Best Paper Award
Tabebordbar, A. (Recipient) & Beheshti, Amin (Recipient), 2018
Prize
Activities
-
Steering Committee, International Workshop on AI-enabled Policing and Law Enforcement, IEEE EDOC Conference October 2021, Australia
Amin Beheshti (Organiser), Frank Schiliro (Organiser), Phillip Bradley (Member of programme committee), Nick Cowdery (Member of programme committee), Neil Brittliff (Member of programme committee), Boualem Benatallah (Member of programme committee) & Niloufer Selvadurai (Member of programme committee)
1 Oct 2021Activity: Participating in or organising an event › Participating in a conference, workshop or event series
-
Organizer and Chair, Blockchain Hackathon (Sponsors: Agate, AWS, SAS, Engenesis), Sep 2018
Amin Beheshti (Participant)
Sep 2018Activity: Participating in or organising an event › Organising a conference, workshop or event series
-
Organizer and Chair, Big Data Aalytics Hackathon (Sponsors: SAS, Yellowfin, Microsoft, Engenesis)
Amin Beheshti (Participant)
Jul 2017Activity: Participating in or organising an event › Organising a conference, workshop or event series