Projects per year
Personal profile
Biography
Prof. Dr. Amin Beheshti is a Full Professor of Data Science, the Director of the Centre for Applied Artificial Intelligence, the head of the Data Science Lab, and the founder of the Big Data Society at Macquarie University, Sydney, Australia. Amin is also an Adjunct Professor of Computer Science at UNSW Sydney, Australia. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW Sydney and holds a Master's and Bachelor's degree 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. These Projects won the National Security Impact Award in 2016 and 2017. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and served as a 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 secured over $23.7 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 Professor of Computer Science, The University of New South Wales
1 Nov 2017 → …
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Collaborations and top research areas from the last five years
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Data to Therapy (D2T): Revolutionizing the discovery of Targeted Therapy with Artificial Intelligence
1/09/23 → 30/06/24
Project: Research
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MQRIS S 2023: Using low-coherence light to noninvasively probe dynamics and 3D fine structures.
Asadniaye Fard Jahromi, M., Pastras, C., Beheshti, A., Narendra, A., Cheng, S., Boothalingam, S. & Curthoys, I.
1/01/23 → 31/12/24
Project: Research
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Intelligent Storytelling with Business Data
Beheshti, A., Sheng, M., Wu, J., Yang, J., Zhang, X., Alinejad Rokny, H. & Asghari, P.
3/11/22 → 1/01/27
Project: Research
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Scalable and Extensible Document intelligence Platform
Beheshti, A., Zhang, X., Mans, B., Wu, J., Liu, G., Sheng, M., Yang, J., Asadniaye Fard Jahromi, M., Ghezelbash, D. & Simpson, M.
14/10/22 → 1/01/27
Project: Research
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Development of electrochemical metal ion sensors
Asadniaye Fard Jahromi, M., Abbassi, R., Beheshti, A., Razmjou Chaharmahali, A. & Prdopoulos, T.
11/07/22 → 10/07/24
Project: Research
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3D shallow deep neural network for fast and precise segmentation of left atrium
Kausar, A., Razzak, I., Shapiai, M. I. & Beheshti, A., Jun 2023, In: Multimedia Systems. 29, 3, p. 1739-1749 11 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
A cognitive model for technology adoption
Sobhanmanesh, F., Beheshti, A., Nouri, N., Chapparo, N. M., Raj, S. & George, R. A., Mar 2023, In: Algorithms. 16, 3, p. 1-17 17 p., 155.Research output: Contribution to journal › Article › peer-review
Open AccessFile23 Downloads (Pure) -
A comprehensive investigation of genomic variants in prostate cancer reveals 30 putative regulatory variants
Labani, M., Beheshti, A., Argha, A. & Alinejad-Rokny, H., 1 Feb 2023, In: International Journal of Molecular Sciences. 24, 3, p. 1-18 18 p., 2472.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
An integrative analysis of chromatin interactions, gene expression and genomic variants identifies 30 likely regulatory variants in prostate cancer
Labani, M., Beheshti, A., Argha, A. & Alinejad, H., 19 Jan 2023, (Submitted) (Preprints.org).Research output: Working paper › Preprint
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An intelligence cattle re-identification system over transport by Siamese Neural Networks and YOLO
Bakhshayeshi, I., Erfani, E., Taghikhah, F. R., Elbourn, S., Beheshti, A. & Asadnia, M., 20 Jul 2023, (E-pub ahead of print) In: IEEE Internet of Things Journal.Research output: Contribution to journal › Article › peer-review
Prizes
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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
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Australian Postgraduate Award (APA), Australian Government, 2009-2012
Beheshti, Amin (Recipient), 2009
Prize
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Best Student Paper Awards for “FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance”
Zhang, Ge (Recipient), Wu, Jia (Recipient), Yang, Jian (Recipient), Beheshti, Amin (Recipient), Xue, Emma (Recipient), Zhou, C. (Recipient) & Sheng, Michael (Recipient), 2021
Prize
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Engineering Excellence Top-Up Scholarship (EETS), UNSW Australia, 2009-2012
Beheshti, Amin (Recipient), 2009
Prize
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Excellence in Research Innovation, Partnership & Entrepreneurship Award
Beheshti, Amin (Recipient), 2022
Prize
Activities
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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
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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
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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