Projects per year
Personal profile
Biography
Prof. Dr. Amin Beheshti is a Full Professor of Data Science at Macquarie University, and Adjunct Professor of Computer Science at UNSW Sydney, Australia. Amin is the founder and 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 has been honored with the prestigious "AI Academic/Researcher of the Year" award at the inaugural Australian AI Awards 2024. He was also a finalist in two additional categories: "AI Leader of the Year – Enterprise" and "AI Rising Star of the Year – Enterprise." Amin's long-standing Vision has been to shift the focus of AI from being a tool with endless theoretical potential to one that is actively and intentionally applied to solve meaningful, real-world problems. Amin completed his PhD 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. Before starting his PhD in 2009, Amin had over a decade of industry experience as a founder and CEO, consultant, and Solution Architect in national and international organizations. Alongside his teaching activities, Amin has made significant contributions to research projects and successfully secured 40+ research projects (Over $40 million in Research Funding). Amin received Prestigious Awards, including the Australian National AI Award (AI Academic/Researcher of the Year), Excellence Award (Macquarie University, 2023), Excellence in Research Innovation, Partnership Entrepreneurship (Macquarie University, 2022), National Security Impact Award (D2D CRC, 2016 and 2017), Recognition Award (D2D CRC, 2016 and 2017), Australian Postgraduate Award (APA 2009-2012), and several Best Paper awards. In 2021, due to his outstanding performance, Amin was promoted from Senior Lecturer to Full Professor at Macquarie University. As a distinguished researcher in Data and AI Science, Amin has been invited to serve as a Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. He is also a leading author of several authored books in data, social, and process analytics, co-authored with other high-profile researchers. Amin named a finalist in the prestigious Australian AI Awards 2024 in three categories: AI Academic / Researcher of the Year, AI Leader of the Year – Enterprise, and AI Rising Star of the Year – Enterprise. Amin has been invited to serve as a Distinguished Jury member for prestigious awards, including the "Aegis Graham Bell Award, recognizing his leadership in AI and significant contributions and involvement in commercialization efforts. Amin has been honored with the prestigious "AI Academic/Researcher of the Year" award at the inaugural Australian AI Awards 2024. He was also a finalist in two additional categories: "AI Leader of the Year – Enterprise" and "AI Rising Star of the Year – Enterprise." |
Education/Academic qualification
Computer Science and Engineering, PhD, The University of New South Wales
31 Mar 2009 → 1 Sept 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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Predictive Analytics for Biomaterials through Advanced Machine Learning Models
Abbassi, R., Asadnia, M., Beheshti, A. & Radfar, P.
17/12/24 → 17/12/25
Project: Research
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AI-Enhanced CT Image Analysis for Precise Measurement of Bone Union and Healing in Jaw Reconstruction
Beheshti, A., Clarke AM, J., Mukherjee, P., Qi, Y. & Gupta, V.
1/10/24 → 31/12/25
Project: Research
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Mitigating Generative Artificial Intelligence Deepfake Threats in Identity and Access Management Systems
1/09/24 → 31/08/28
Project: Research
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LE24: Federated Omniverse Facilities for Smart Digital Futures
Cao, L., Davidson, P., Varadharajan, V., Kim, J., Yu, P., Beheshti, A., Nguyen, Q. V. & Khanna, S.
20/08/24 → 19/08/25
Project: Research
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BiF-AC: a bidirectional feedback actor-critic framework for UAV-UGV graph-based search and rescue operations
Cao, X., Luo, H., Wang, G., Xue, S., Yang, J., Wu, J. & Beheshti, A., 2025, Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, proceedings, part III. Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., Wu, J., Mansoor, W. & Ma, C. (eds.). Singapore: Springer, Springer Nature, p. 66-81 16 p. (Lecture Notes in Artificial Intelligence; vol. 15389).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Multiknowledge and LLM-inspired heterogeneous graph neural network for fake news detection
Xie, B., Ma, X., Shan, X., Beheshti, A., Yang, J., Fan, H. & Wu, J., 2025, In: IEEE Transactions on Computational Social Systems. 12, 2, p. 682-694 13 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Presentation attack detection: a systematic literature review
Pooshideh, M., Beheshti, A., Qi, Y., Farhood, H., Simpson, M., Gatland, N. & Soltany, M., Jan 2025, In: ACM Computing Surveys. 57, 1, p. 1-32 32 p., 25.Research output: Contribution to journal › Review article › peer-review
Open Access1 Citation (Scopus) -
A comprehensive survey on graph summarization with graph neural networks
Shabani, N., Wu, J., Beheshti, A., Sheng, Q. Z., Foo, J., Haghighi, V., Hanif, A. & Shahabikargar, M., Aug 2024, In: IEEE Transactions on Artificial Intelligence. 5, 8, p. 3780-3800 21 p.Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus) -
Advancing student outcome predictions through generative adversarial networks
Farhood, H., Joudah, I., Beheshti, A. & Muller, S., Dec 2024, In: Computers and Education: Artificial Intelligence. 7, p. 1-13 13 p., 100293.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)49 Downloads (Pure)
Prizes
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ACM MoMM 2020, Best Paper Award
Ghafari, Seyed (Recipient), Beheshti, Amin (Recipient), Joshi, Aditya (Recipient), Paris, Cecile (Recipient), Yakhchi, Shahpar (Recipient), Jolfaei, Alireza (Recipient) & Orgun, Mehmet (Recipient), 2020
Prize
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Australian AI Award - Finalist - AI Leader of the Year (Finalist)
Beheshti, Amin (Recipient), 2024
Prize
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Australian AI Award - Finalist - AI Rising Star of the Year (Finalist)
Beheshti, Amin (Recipient), 2024
Prize
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Australian National AI Award - AI Academic / Researcher of the Year (Winner)
Beheshti, Amin (Recipient), 2024
Prize
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Australian Postgraduate Award (APA), Australian Government, 2009-2012
Beheshti, Amin (Recipient), 2009
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)
Sept 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