Dr. Amin Beheshti
Prof. Dr. Amin Beheshti is a Full Professor of Data Science at Macquarie University, and an 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 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 50+ research projects (Over $39 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 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."
Winner - AI Academic/Researcher of the Year 2024 AI Leader of the Year 2024 AI Academic/Researcher of the Year 2024 AI Rising Star of the Year 2024
Check out Amin's profile on Cyber Daily: Click HERE
Awards & Grants | Supervision | Publications | Teaching | Professional Activities | Prospective Students

Awards & Grants

  • Awards and Recognitions:
  • Awarded the Followings Grants:
    • Research Grants (Total Research Funding: $39,873,282.58):
      1. Beheshti, A. (Primary CI) et al. , "Advancing Bioinnovation through Foundation Models to Transform Biological Research and Applications", BioInnovation-MQ, 2025-2026
      2. Huang S. (Lead CI), Kim J. (CI), Veettil B (CI), Beheshti A. (CI), "Advanced Green Manufacturing and Automation Technology for Next-Generation Solar Cells", Department of Industry, Global Science & Technology Diplomacy Fund (GSTDF), 2026-2028
      3. Abbassi, R. (Lead CI), Asadnia, M. (CI), Beheshti, A. (CI), "Predictive Analytics for Biomaterials through Advanced Machine Learning Models", Investment NSW, 2026-2028
      4. Matulionyte R. (Primary CI), Magrabi F. (Chief Investigator), Beheshti A. (Chief Investigator), Lee J. (PI), Kim D. (PI), "'No' to Black Box: Towards Transparent and Safe AI in Healthcare", Australian Research Council DP (ARC DP250100184), 2025 to 2027.
      5. Taghizadeh F. (Primary CI), Deilami S. (CI), Callegaro L. (CI), Oo A. (CI), Beheshti A (CI), "AI-Driven Modular Energy System Revolutionizing Home Storage and Maximizing Green Investments", NSW Decarbonization Innovation Hub and Smartizer Pty Ltd, 2025-2026.
      6. Beheshti A (Primary CI), Xue E. (CI), Taghizadeh F. (CI), Asadnia M. (CI), Abbassi R. (CI), "Optimizing Residential Electricity Usage through Artificial Intelligence enabled Behavioural Modelling", MQ Enterprise Partnership with Smartizer Pty Ltd, 2025-2029.
      7. Beheshti A. (Principle CI), Clark AM J. (PI), Mukherjee P. (CI), Qi Y. (CI), Gupta V. (CI), "AI-Enhanced CT Image Analysis for Precise Measurement of Bone Union and Healing in Jaw Reconstruction", MQ Enterprise Partnership with Chris O'Brien Lifehouse, 2024-2025.
      8. Beheshti A. (Principle CI), Sheng M. (CI), "Revolutionizing Dynamic Pricing and Management Optimization through Synergizing Generative AI, Predictive Analytics, and Game Theory", MQ Enterprise Partnership with IntelliSoftware Pty Ltd, 2024-2028.
      9. Beheshti, A. (Principle CI), Qi, Y. (CI), "Fujitsu AutoML Innovations: A Microcredential Journey Blending Research and Education", MQ Enterprise Partnership with Fujitsu, 2024-2025.
      10. Wu J. (Principle CI) and Beheshti A. (CI), "Mitigating Generative Artificial Intelligence Deepfake Threats in Identity and Access Management Systems", MQ Enterprise Partnership with Locii Innovation Pty Ltd, 2024-2028.
      11. Beheshti A. (Principle CI), Wu J. (Co-lead CI), Zhang X. (CI), Qi, Y. (CI), Alinejad H. (CI), Xue E. (CI), "Next-Gen Banking: Towards Customized and Personalized Banking Solutions through Generative AI Technologies", MQ Enterprise Partnership with Prospa Advance Pty Ltd, 2024-2029.
      12. Jose A. Lopez-Escamez (Lead CI), Mosen Asadnia (CI), Amin Beheshti (CI), et. al. "Genomics and Epigenomics of Tinnitus Disorder", American Tinnitus Association Innovation Grant, 2024-2026.
      13. Liu G. (Principle CI), Beheshti A. (CI) "Data-intensive Scheduling Optimisation in Database Systems", MQ Enterprise Partnership with Enmotech Data AU, 2024-2028.
      14. Xue, E. (Principle CI), Beheshti, A. (CI), Asadnia, M. (CI), Wu, J. (CI), "Enhancing Natural Disaster Response Networks with Advanced Graph-based Rescue Simulation", MQRAS, Macquarie University 2024-2025.
      15. Naseem U (Principle CI), Dras M (CI), Behishti A (CI), Lau A (CI), Liu S (CI), "HealthGuard: Countering Malicious AI-Generated Health Disinformation Campaigns, MQRAS, Macquarie University 2024-2025.
      16. Berkovsky S. (Co-Lead CI), Beheshti A. (Co-Lead CI), Coiera E. (CI), "Enhancing Human Reasoning with Generative AI: Personalized Digital Coach for Effective Feedback", MQ Enterprise Partnership with Fujitsu, 2024-2027. [Featured in News: LINK]
      17. Abbassi, R. (Principle CI), Asadniaye Fard Jahromi, M. (CI), Inglis, D. (CI), Pastras, C. (CI), Payne, D. (CI), McAlpine, D. (CI), Mukhopadhyay, S. (CI), Narendra, A. (CI), Beheshti, A. (CI), P Veettil, B.(CI), Abolpour Moshizi, S. (CI), "Advancing Electronics and Biosensor Fabrication using Cutting-Edge Inkjet Printing", MQRIS, Macquarie University 2024.
      18. Abbassi, R. (Principle CI), Beheshti, A. (CI), Asadniaye, M. (CI), "MQEPS: Developing a Predictive Model for Reliability Assessment of Microcarriers", MQ Enterprise Partnership with Smart MCs Pty Ltd, 2023-2024.
      19. Beheshti A. (Lead CI), Xue E. (CI), "Generative Adversarial Network (GAN) Development for Counter-Fraud Training", MQ Enterprise Partnership with Locii Innovation Pty Ltd, 2024-2025.
      20. Beheshti, A. (Principal CI), Zhang, X. (CI), Xue E. (CI), Wu, J. (CI), Guanfeng L. (CI), "Linking Cognitive Science and Data Science for Enhanced Therapeutic Interventions", MQ Enterprise Partnership with The Navigator Group Pty Ltd and Psyche-Commerce (Australia) Pty Ltd, 2023-2024.
      21. Cao L. (Lead CI), Beheshti A. (CI), Davidson P. (CI), Varadharajan V. (CI), Kim J. (CI), Yu P. (CI), Nguyen Q. (CI), Khanna S. (PI), "Federated Omniverse Facilities for Smart Digital Futures", Australian Research Council (ARC) LIEF (LE240100131), 2024-2028.
      22. Liu G. (Principal CI), Behsshti A. (CI), "Intelligent Health Data Analytics Platform", MQ Enterprise Partnership with Xiamen Lihan IT Service, 2023-2026.
      23. Beheshti, A. (Principal CI), "Generative AI-Driven Data Imputation for Enhanced Real Estate Data Analytics", MQ Enterprise Partnership with Domain Holdings Australia, 2023.
      24. Beheshti, A. (Principal CI), Zhang, X. (CI), Wu, J. (CI), "AI-Powered Enhancement of Security Against Identity Document Fraud", MQ Enterprise Partnership with Locii Innovation Pty Ltd, 2023.
      25. Abedin, B. (Principal CI), Beheshti, A. (CI), Selvadurai, N. (CI), and Marjanovic, O. (CI), "Research-based Guiding Framework Encompassing Relevant Principles of Responsible Artificial Intelligence", MQ Enterprise Partnership with AMP Services Limited, 2023.
      26. Labani M (Principal CI), Beheshti A. (CI), "Data to Therapy (D2T): Revolutionizing the discovery of Targeted Therapy with Artificial Intelligence", Google PhD Fellowship, 2023.
      27. Asadniaye M., Pastras C., Beheshti A., Narendra A., Cheng S., Boothalingam S., Curthoys, I., "Using low-coherence light to noninvasively probe dynamics and 3D fine structures". MQRIS, 2023.
      28. Wu J. (Principal CI), Yang J. (CI), Sheng M. (CI), Beheshti A. (CI), McAlpine D. (CI) ; Sowman P. (CI), Wang B. (PI), "Deep Pattern Mining for Brain Graph Analysis: A Data Mining Perspective", Australian Research Council (ARC) Linkage [LP210301259], 2023-2027.
      29. Yang, J. (Principal CI), Beheshti, A. (CI), Wu, J. (CI), Zhang, W. (CI), Yarom, Y. (CI), Huang, Y. (CI), Gu, T. (CI), Sheng, M. (CI), McKenzie, J. (CI), He, D. (CI), Sun, H. (CI), and O'Connell, P (CI). Transformation of Data to Data products for a Trusted Data-Driven Economy: Technology Innovation and Application; CSIRO Next Generation Graduate Program; partners: Resint Technology, EY, Westpac, Westmead Institute for Medical Research (WIMR), ITIC, Truuth, and Yirigaa; 2023-2027.
      30. Asadniaye M. (Principal CI), Abbassi R. (CI), Khamis H. (CI), & Beheshti, A. (CI), "Study the impact of temperature, moisture and mechanical vibration on drift and reliability of the Contactile’s tactile sensor", MQ Enterprise Partnership with Contactile Pty Ltd, 2023.
      31. Beheshti A. (Principal CI), Sheng A. (CI), Wu J. (CI), Yang J. (CI), Zhang X. (CI), et al., "Intelligent Storytelling with Business Data", MQ Enterprise Partnership with Domain Holdings Australia, 2022-2026.
      32. Beheshti A. (Principal CI), Zhang X. (CI), Mans B. (CI), Wu J. (CI), Liu G. (CI), Sheng M. (CI), Yang J. (CI), et al., "Scalable and Extensible Document Intelligence Platform", MQ Enterprise Partnership with Locii Innovation Pty Ltd, 2022-2026.
      33. Bu, D. (Principal CI), Liao, Y. (CI), Smith, T. (CI), Linnenluecke, M. (CI), Cai, C. (CI), Mollica, V. (CI), Singh, A. (CI), Peng, C. (CI), Beheshti A. (CI), and Zhang X. (CI), "Educating Retail Investors for Impact Investing", MQ Enterprise Partnership with Futu Securities (Australia) Ltd, 2022-2023.
      34. Beheshti A. (Principal CI), Lee Y. (CI), "Conversational Artificial Intelligence Powered Chatbot for Career Counselling", MQ Enterprise Partnership with Faethm Pty Ltd, 2022.
      35. Beheshti, A. (Principal CI), "Intelligence-led Teaching and Learning: Extending the Technology for Automated Exam Marking"; Linkage: ITIC Training and Resourcing and Macquarie University, 2022-2025.
      36. Muller S. (Principal CI), Beheshti A. (CI), Farhood H. (CI), Moka S. (CI), "Estimating Number of Tyres in Stockpiles", Victorian Environmental Protection Authority, 2022-2023
      37. Asadnia, M. (Principal CI), Abbassi R. (CI), Beheshti, A. (CI), "Novel Electrochemical Metal Ion Sensors for Wireless Water Quality Monitoring" 2022-2024.
      38. Beheshti, A. (Principal CI), Wu , J. (CI), Alinejad Rokny , H. (CI), Zhang , X. (CI), Jolfaei , A. (CI), "Intelligent Risk Assessment for Financial Services", MQ Linkage: Prospa Advance Pty Ltd and Macquarie University, 2021-2025.
      39. Beheshti, A. (Principal CI), Sheng, M. (CI), "Intelligent Data Science Pipelines", MQ Linkage: YIRIGAA Pty Ltd and Macquarie University, 2021-2025.
      40. Asadnia M. (Principal CI), Abbassi R. (CI), Beheshti A. (CI), Clark S. (CI), Salehi F. (CI), Vimonsatit S. (MQ), (CI), "Embedded sensing system for continuous crack monitoring in concrete pavements", SMART CRETE CRC, 2021-2124,
      41. Asadniay, M. (Principal CI), Heimlich, M. (CI), Abbassi, R. (CI), Beheshti, A (CI), "Intelligent Water Safety Bracelet", MQ Linkage: Macquarie University, Smile Like Drake Foundation, and NSW Office of Sport, 2021-2024.
      42. Ghezelbash, D. (Principal CI), Ross, R. (CI), Beheshti, A. (CI), Levy, N. (CI), Dozer, A. (CI), Newhouse, G. (CI), Gallagher, R. (CI), and Dutta-Powell, R. (CI), "Counteracting cognitive and social biases experienced by First Nations People in the legal system", MQ Research Acceleration Scheme, 2021-2022.
      43. Asadnia M. (Principal CI), Beheshti, A. (CI), Abbassi, R. (CI), and Orr, B. (CI), "Artificial Intelligence enabled livestock transport", MQ Research Acceleration Scheme, 2021-2022.
      44. Beheshti, A. (Principal CI), Bower, M. (CI), Sheng, M. (CI), Yang, J. (CI), Asadnia, M. (CI), "Intelligent Educational Knowledge Lake"; MQ Linkage: Cinglevue International Pty Ltd and Macquarie University, 2020-2023.
      45. Beheshti, A. (Principal CI), Asadniaye, M. (CI), Sheng, M. (CI), Yang J. (CI), "AI-enabled Industry: extending the taxonomy of technologies"; Funded by Federal Innovation Connections Grant; Linkage: Faethm Pty Ltd. and Macquarie University, 2020-2021. [Featured in News: LINK]
      46. Beheshti, A. (Principal CI), "Cognitive Recommender Systems"; MQ Linkage: dAIta Pty Ltd and Macquarie University, 2020-2024.
      47. Beheshti, A. (Principal CI), "AI-enabled Banking"; MQ Linkage: Tata Consultancy Services (TCS) and Macquarie University, 2020-2023. [Featured in News: LINK]
      48. Beheshti, A. (Principal CI), Asadniaye, M. (CI), "Linking Cognitive Technology and Sensory Systems to Support Personalized Learning", MQ Linkage: ITIC Training and Resourcing and Macquarie University, 2020-2021.
      49. Beheshti A. (Principal CI), Hamey L. (CI), Jolfaei A. (CI), Asadnia M. (CI), AI-enabled Identity Verification, MQ Linkage: Locii Innovations Pty Ltd and Macquarie University, 2020-2022.
      50. Beheshti, A. (Principal CI), "Intelligence-led Teaching and Learning"; Linkage: ITIC Training and Resourcing and Macquarie University, 2019-2023.
      51. Beheshti, A. (Principal CI), Asadniaye, M. (CI), Sheng, M. (CI), Yang J. (CI), "AI-enabled Industry: Challenges and Opportunity Study"; Funded by Federal Innovation Connections Grant; Linkage: Faethm Pty Ltd and Macquarie University, 2019-2020.
      52. Salehi, F. (Principal CI), Abbassi, R. (CI), Cheng, S. (CI), Diasinos, S. (CI), Nasiri, N. (CI), Beheshti, A. (CI), Clark, S. (CI)   Afonso, J. C. (CI), "144-core CFD processor"; MQRIS small, 2020.
      53. Asadnia. M (Principal CI), Beheshti.A (CI), Razmjou. A. (CI), Sheng. M (CI), Mukhopadhyay, S. (CI), et al. "Micro-pattern generatorTrustworthiness  system for photolithography and direct write experiments" MQRIS large, 2020.
      54. Asadniaye, M. (Principal CI), Warkiani, M. (CI), Mukhopadhyay, S. (CI), George, B. (CI), Jatmiko, W. (CI), Kotapalli, A. (CI), Beheshti, A. (CI), Razmjou Chaharmahali, A. (CI), "A compact and portable electrochemical gas sensor array to spot explosives"; Australian Academy of Science, UTS and MQ, 2019-2021.
      55. Beheshti, A. (Principal CI), "Price optimisation using deep reinforcement learning"; Linkage: Intellify Pty Ltd. and Macquarie University, 2019-2022.
      56. Beheshti, A. (Principal CI), "Linking Cognitive Science and Computer Science"; MQ FSE VRF Grant, Macquarie University, 2019.
      57. Beheshti, A. (Principal CI) & Yang, J. (CI), "Cognitive Social Network Analytics"; MQNS Grant, Macquarie University, 2018-2020.
      58. Beheshti, A. (Principal CI), Ghafari, S., Joshi, A., "Trust prediction in online social networks"; CSIRO and Macquarie University, 2018-2019.
    • Industry Sponsorship Funding (for academic event organization): $310,750.00:
      • Check the complete list of sponsored event HERE

    Supervision (Academic Siblings):

    Current Researach Students/Postdocs:

    1. Dr. Jing Du (Research Fellow)
    2. Dr. Kexuan Xin (Research Fellow)
    3. Dr. Jonathan Vitale (Research Fellow)
    4. Dr. Habiba Habiba (Research Fellow)
    5. Aliakbar Attari(PhD Student)
    6. Mohammad Hossein Ahmadi (PhD Student)
    7. Matthew Warner-Smith (PhD Student)
    8. Sanaz Yasipourtehrani (MRes Student)
    9. Aaron Gaskell (MRes Student)
    10. Enoch Chan (MRes Student)
    11. Afrooz Sheikholeslami (MRes Student)
    12. Erfan Moshiri (MRes Student)
    13. Anthony Shaw (PhD Student)
    14. Alireza Shammasi (PhD Student)
    15. Hadi Abachi (PhD Student)
    16. Masoud Safilian (PhD Student)
    17. Matine Poushide (PhD Student)
    18. Stephen Elbourn (MRes Student)
    19. Saleh Afzoon (PhD Student)
    20. Sahar Moraadi (PhD Student)
    21. Maryam Shahabikargar (PhD Student)
    22. Nasrin Shabani (PhD Student)
    23. Ambreen Hanif (PhD Student)
    24. Salman Rad (PhD Student)
    25. Usman Shahbaz (PhD Student)

    Former Research Students/Postdocs:

    1. Dr. Nabi Rezvani, PhD Student, Graduated 2024, Thesis Title: "Towards Contextualised Deep Learning Based Cyberbullying Detection", Supervisor: Amin Beheshti.
    2. Dr. Fariba Lotfi, PhD Student, Graduated 2024, Thesis Title: "Enhancing Image Annotation Through Data Storytelling and Contextualization", Supervisor: Amin Beheshti, Mansour Jamzad, Hamid Beigy.
    3. Dr. Mahdieh Labani, PhD Student, Graduated 2024, Thesis Title: "Linking Artificial Intelligence and Medical Data to Revolutionize Targeted Therapy", Supervisors: Amin Beheshti, Tracey O'Brien.
    4. Dr. Helia Farhood, Postdoctoral Research Fellow, 2021-2023, Project Title: " Intelligent Educational Knowledge Lake", Supervisor: Amin Beheshti.
    5. Alireza Shammasi, MRes Student, Graduated 2023, Thesis Title: "Enhancing Data Imputation with Generative AI: Transforming Time Series through Image Processing", Supervisor: Amin Beheshti.
    6. Dr. Haolong Xiang, PhD Student, Graduated 2023, Thesis Title: "Isolation Forest Based Anomaly Detection with Learning to Hash", Supervisor: Xuyun Zhang.
    7. Anthony Shaw, MRes Student, Graduated 2023, Thesis Title: "Towards Evaluating Python as a Suitable Data Science Programming Language for Modern Computing Architecture", Supervisor: Amin Beheshti.
    8. Kelley Yohe, MRes Student, Graduated 2023, Thesis Title: "Towards Global, Socio-economic and Culturally Aware Recommender Systems", Supervisor: Amin Beheshti.
    9. Dr. Francesco Schiliro, PhD Student, Graduated 2023, Thesis Title: "Privacy and Security of Cognitive Augmentation in Policing", Supervisors: Amin Beheshti, Nour Mustafa, Michael Sheng.
    10. Matine Poushide, MRes Student, Graduated 2023, Thesis Title: "A Novel Active Solution for Two Dimensional Face Presentation Attack Detection", Supervisors: Amin Beheshti, ‪Helia Farhood.
    11. Sahar Moraadi, MRes Student, Graduated 2022, Thesis Title: "Intent Recognition in Conversational Recommender Systems", Supervisors: Amin Beheshti, ‪Mehrdad Zakershahrak.
    12. Ivan Bakhshayeshi, MRes Student, Graduated 2022, Thesis Title: "Artificial Intelligence-enabled Livestock Recognition in Transport", Supervisors: Mohsen Asadnia, Amin Beheshti.
    13. Maryam Shahabikargar, MRes Student, Graduated 2022, Thesis Title: "Towards Knowledge-based Mining of Mental Disorder Patterns from Textual Data", Principal Supervisor: Amin Beheshti.
    14. Cathy HE, MRes Student, Graduated 2022, Thesis Title: "Protecting Vehicular and Ad Hoc Networks from Advanced Persistent Threats", Supervisor: Alireza Jolfaei.
    15. Nasrin Shabani, MRes Student, Graduated 2022, Thesis Title: "Towards Mining Creative Thinking Patterns from Educational Data", Principal Supervisor: Amin Beheshti; Associate Supervisor: Helia Farhood.
    16. Ambreen Hanif, MRes Student, Graduated 2022, Thesis Title: "Towards Explainable Artificial Intelligence in Banking and Financial Services", Supervisors: Principal Supervisor: Amin Beheshti; Associate Supervisor: Xuyun Zhang.
    17. Dr. Fariborz Sobnmanesh, Research Data Scientist, 2019-2021, Project Title: "AI-enabled Industry: Challenges and Opportunity Study", Principal Supervisor: Amin Beheshti.
    18. Dr. Shuang Wang, Postdoctoral Research Fellow, 2021, Project Title: "Linking Cognitive Technology and Sensory Systems to Support Personalized Learning", Principal Supervisor: Amin Beheshti.
    19. Dr. Samira Ghodratnama, Ph.D. Student, Graduated 2021, Thesis Title: "Towards Personalised and Human-in-the-Loop Document Summarisation", Principal Supervisor: Amin Beheshti.
    20. Tara Rouhollahi, MRes Student, Graduated 2021, Thesis Title: "Towards Artificial Intelligence Enabled Financial Crime Detection", Principal Supervisor: Amin Beheshti.
    21. Amin Edrisi, MRes Student, Graduated 2021, Thesis Title: "Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business", Principal Supervisor: Amin Beheshti.
    22. Nouna Khandan, MRes Student, Graduated 2021, Thesis Title: "An Intelligent Hybrid Model for Identity Document Classification", Principal Supervisor: Amin Beheshti.
    23. Dr. Shahpar Yakhchi, Ph.D. Student, Graduated 2021, Thesis Title: "Learning Complex Users' Preferences for Recommender Systems", Principal Supervisor: Amin Beheshti.
    24. Salman Mousaeirad, MRes Student, Graduated 2021, Thesis Title: "Intelligent Vector Based Customer Segmentation in the Banking Industry", Principal Supervisor: Amin Beheshti.
    25. Dr. Alireza Bordbar, Research Fellow, 2021, Thesis Title: "Automated Exam Marking", Principal Supervisor: Amin Beheshti.
    26. Dr. Alireza Bordbar, Ph.D. Student, 2020, Thesis Title: "Augmented Understanding and Automated Adaptation of Curation Rules", Supervisors: Boualem benatallah, Amin Beheshti.
    27. Sam Khadivizand, MRes Student, Graduated 2020, Thesis Title: "Towards Intelligent Risk-based Customer Segmentation in Banking", Principal Supervisor: Amin Beheshti.
    28. Dr. Mohssen Ghafari, Ph.D. Student and Research Fellow, Graduated 2020, Thesis Title: "Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks", Principal Supervisor: Amin Beheshti.
    29. Usman Shahbaz, MRes Student, Graduated 2020, Thesis Title: "Towards Automating the Recruitment Process", Principal Supervisor: Amin Beheshti.
    30. Farhad Amouzgar, MRes Student, Graduated 2020, Thesis Title: "Deep Reinforcement Learning As Text Generator In Image Captioning", Principal Supervisors: Amin Beheshti & Mark Dras.
    31. Frank Schiliro, MRes Student, Graduated 2020, Thesis Title: "Internet of Things Enabled Policing Processes", Principal Supervisor: Amin Beheshti.
    32. Vahid Moraveji, MRes Student, Graduated 2020, Thesis Title: "Social influence and radicalization: a social data analytics study", Principal Supervisor: Amin Beheshti.
    33. Dr. Nikzad B.Rizvandi, Visiting Fellow, 2019, Project Title: "Price optimisation using deep reinforcement learning", Supervisor: Amin Beheshti.
    34. Dr. Mehregan Mahdavi, Visiting Fellow, 2019, Project Title: "iRecruit: Towards Automating the Recruitment Process", Supervisor: Amin Beheshti.
    35. Dr. Negin Hesam-Shariati, Research Fellow, 2019, Project Title: "Linking Cognitive Science and Data Science", Supervisor:Amin Beheshti.
    36. Dr. Sami Ghodratnama, Research Fellow, 2019, Project Title: "Storytelling with Image Data", Supervisor: Amin Beheshti.
    37. Kushal Vaghani, Master by Research, 2019, Project Title: "Curating Social Media Data", Supervisors: Boualem Benatallah, Amin Beheshti.

    Publications

    BOOKS:

    1. Mosbah et al., "Advances in Model and Data Engineering in the Digitalization Era", Editors, MEDI (the International Conference on Model and Data Engineering) 2023.
    2. Beheshti et al., "Social Data Analytics", ISBN 978-1-032-19627-5, CRC Press, 2022.
    3. Beheshti et al., "Process Analytics: Concepts and techniques for querying and analysing big process data", ISBN 978-3-319-25037-3, Springer, 2016.
    4. Beheshti, "Organizing, Querying, and Analyzing Ad-hoc Processes' Data", University of New South Wales, Australia, 2012.
    5. Asadnia et al., "Artificial Intelligence and Data Science in Environmental Sensing"", ISBN 978-0-323-90508-4, Elsevier, 2022.
    6. Hacid et al., "Service-Oriented Computing", ICSOC 2021 Workshops Proceedings. LNCS 13121, ISBN: 978-3-030-91430-1, Springer 2021.
    7. Hacid et al., "Service-Oriented Computing", ICSOC 2020 Workshops Proceedings. LNCS 12632, ISBN 978-3-030-76351-0, Springer 2020.
    8. Beheshti et al. , "Service Research and Innovation"", LNBIP 234, Springer, 2018.

    Book Chapters:

    1. Beheshti et al., "Understanding the Big Data in Neurosurgery", Computational Neurosurgery, Springer, ISBN: 978-3-031-64891-5, 2024.
    2. Beheshti et al., "Exploring the Convergence of Internet of Things and Big Data Technologies in the Age of Generative Artificial Intelligence", IoT and Big Data, Elsevier, 2023.
    3. Beheshti et al. "Social Data Analytics: Challenges and Opportunities", Social Data Analytics, CRC Press, 2022.
    4. Beheshti et al. "Organizing Social Data", Social Data Analytics, CRC Press, 2022.
    5. Beheshti et al. "Curating Social Data", Social Data Analytics, CRC Press, 2022.
    6. Beheshti et al. "Social Media Text Analytics", Social Data Analytics, CRC Press, 2022.
    7. Beheshti et al. "Social Media Image and Video Analytics", Social Data Analytics, CRC Press, 2022.
    8. Beheshti et al. "Summarizing Social Data", Social Data Analytics, CRC Press, 2022.
    9. Beheshti et al. "Storytelling with Social Data", Social Data Analytics, CRC Press, 2022.
    10. Beheshti et al. "Social Data and Recommender Systems: The Future of Personalization", Social Data Analytics, CRC Press, 2022.
    11. Beheshti et al. "Social Data Analytics Applications", Social Data Analytics, CRC Press, 2022.
    12. Farhood H. et al. "Recent Advances of Image Processing Techniques in Agriculture", Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, 2022.
    13. Beheshti et al. , "BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data", Springer, 2021.
    14. Elahi, Beheshti, et al., "Recommender Systems: Challenges and Opportunities in the Age of Big Data and Artificial Intelligence", CRC book on Data Science and its Applications, 2020.
    15. Beheshti et al. , "Introduction to Process Analytics", Springer, 2016.
    16. Beheshti et al. , "Process Matching Techniques", Springer, 2016.
    17. Beheshti et al. , "Model-Based Business Process Query Techniques and Languages", Springer, 2016.
    18. Beheshti et al. , "Business Process Data Analysis", Springer, 2016.
    19. Beheshti et al. , "Process Analytics: Tools, Use Cases, and Discussions", Springer, 2016.
    20. Rajabi et al., "Interlinking Big Data and Web of Data". Big Data Optimization, Springer, 2015.

    Patents:

    Tutorials:

    1. Beheshti; "Understanding Generative AI and its Transformative Power: from ChatGPT to ProcessGPT, IEEE CSDE 2023 Conference, Yanuca Island, Fiji, 2023.
    2. Beheshti, Benatallah, Sheng, Casati, Motahari, Yang, and Ghose; "AI-enabled Processes: The Age of Artificial Intelligence and Big Data", International Conference on Service Oriented Computing (ICSOC), [CORE Rank A], Dubai UAE, 2021.
    3. Dorri, Jurdak, Beheshti, and Barros; "Towards Scalable Blockchains Using Service-Oriented Architectures", International Conference on Service Oriented Computing (ICSOC), [CORE Rank A], Dubai UAE, 2021.
    4. Sheng, Beheshti, Zhang, and Mahmood; "Making Sense of The Internet of Things: The Big Data Perspective", 2021 IEEE International Conference on Big Data, USA, 2021.
    5. Beheshti, Benatallah, Sheng, and Schiliro; "Intelligent Knowledge Lakes: The Age Of Artificial Intelligence and Big Data"
      Web Information System Engineering (WISE) Conference [CORE Rank A], Hong Kong, Jan 2020.
    6. Beheshti, Benatallah, and Sheng; "From Data Lakes to Knowledge Lakes: The Age of Big Data Analytics"
      Web Information System Engineering (WISE) Conference [CORE Rank A], Dubai UAE, November 2018.

    Journals:

    1. Xie et al., "Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection", IEEE Transactions on Computational Social Systems, (IF: 4.5, Q1), 2024.
    2. Pooshideh, Beheshti, et al., "Presentation Attack Detection: A Systematic Literature Review", ACM Computing Surveys (IF: 23.8, Q1), 2024.
    3. Xiang H. et al., "Federated Learning-Based Anomaly Detection with Isolation Forest in the IoT-Edge Continuum", ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM), (IF: 5.2, Q1), 2024.
    4. Lotfi et al., "Knowledge Graph Construction in Hyperbolic Space for Automatic Image Annotation", Image and Vision Computing journal, (IF: 4.2, Q1), 2024.
    5. Farhood et al., "Advancing Student Outcome Predictions through Generative Adversarial Networks", Computers and Education (Artificial Intelligence) Journal, 2024 (IF:8.9, Q1)
    6. Ma et al., "Style-Aware Two-Stage Learning Framework for Video Captioning", Knowledge-Based Systems Journal, (IF:8, Q1), 2024.
    7. Liu et al., "HEART: Historically Information Embedding and Subspace Re-weighting Transformer-based Tracking", IEEE Transactions on Big Data, (IF:7.5, Q1), 2024.
    8. Shabani, Beheshti, et al., "Attention-based Graph Summarization for Large-Scale Information Retrieval", IEEE Transactions on Consumer Electronics, (IF: 4.3, Q1), 2024.
    9. Zahedi Nasab et al., "Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View", briefings in bioinformatics Journal (IF:13.99, Q1), 2024.
    10. Shabani et al., "A Comprehensive Survey on Graph Summarization with Graph Neural Networks", IEEE Transactions on Artificial Intelligence (IF:7.25, Q1), 2024.
    11. Farhood et al., "Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes", Informatics Journal (IF:3.4, Q1), 2024.
    12. Labani et al., "GENet: A Graph-Based Model Leveraging Histone Marks and Transcription", Genes Journal (IF: 2.8), 2024.
    13. Sharma et al., "Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications", Algorithms Journal (IF: 2.3), 2024.
    14. Yazdi et al., "Navigating the Power of Artificial Intelligence in Risk Management: A Comparative Analysis", Safety Journal, (IF:1.9), 2024.
    15. Fadaei et al., "An Efficient Texture Descriptor Based on Local Patterns and Particle Swarm Optimization Algorithm for Face Recognition", Journal of Supercomputing (IF: 3.3), 2024.
    16. Liang et al, "Crime Prediction with Missing Data via Spatiotemporal Regularized Tensor Decomposition", IEEE Transactions on Big Data (IF: 4.271, Q1), 2023.
    17. Taheria et al., "Partial Reinforcement Optimizer: An Evolutionary Optimization Algorithm", Expert Systems With Applications Journal, (IF: 8.5, Q1), 2023.
    18. Bakhshayeshi et al, "Artificial Intelligence-Based Cattle Re-Identification System for Livestock Transport", IEEE Internet of Things Journal (IF: 10.238, Q1), 2023
    19. Jafari et al., "Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023", Applied Intelligence Journal, (IF: 5.3, Q1), 2023.
    20. Lotfi, Beheshti et al., "Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools", Algorithms Journal (IF: 2.3), 2023.
    21. Labani, Beheshti et al., "A comprehensive investigation of genomic variants in Prostate Cancer reveals 30 regulatory variants with possible functional impact", International Journal of Molecular Sciences (IF: 6.208, Q1), 2023.
    22. Wang, Beheshti, et al,. "Learning Distributed Representations and Deep Embedded Clustering of Texts", Algorithms Journal (IF: 2.3), 2023.
    23. Sobhanmanesh, Beheshti et al., "A Cognitive Model for Technology Adoption", Algorithms Journal (IF: 2.3), 2023.
    24. Shabani, Beheshti et al., "A Rule-based Approach for Mining Creative Thinking Patterns from Big Educational Data", Applied Math Journal, 2023.
    25. Li et al, "A Survey on Deep Learning Event Extraction: Approaches and Applications", IEEE Transactions on Neural Networks and Learning Systems (IF: 14.26, Q1), 2022.
    26. Zhao et al., "Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis", Neural Networks Journal (IF: 9.657, Q1), 2022.
    27. Guo et al., "Mixed Graph Neural Network-based Fake News Detection for Sustainable Vehicular Social Networks", IEEE Transactions on Intelligent Transportation Systems (IF: 6.319, Q1), 2022.
    28. Wang, et al., "Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey", IEEE Transactions on Network and Service Management (IF:4.195, Q1), 2022.
    29. Labani, Beheshti, et al., "KARAJ: An efficient adaptive multi-processor tool to streamline Genomic and Transcriptomic Sequence Data Acquisition", impact factor international journal of molecular sciences (IF: 6.208), 2022.
    30. Labani et al., "PeakCNV: A Multi-Feature Ranking Algorithm-based Tool for Genome-wide Copy Number Variation-association Study", Computational and Structural Biotechnology Journal (IF: 7.271), 2022.
    31. Salih et al., "An Intelligent System for Multi-topic Social Spam Detection in Microblogging", Journal of Information Science (IF: 3.282), 2022.
    32. Matulionyte R. et al., “Should AI-enabled Medical Devices be Explainable?”, International Journal of Law and Information Technology (IF: 2.85, Q1), 2022
    33. Schiliro et al., "DeepCog: A Trustworthy Deep Learning-based Human Cognitive Privacy Framework in Transportation Policing", IEEE Transactions on Intelligent Transportation Systems (IF: 6.49, Q1), 2022.
    34. Debnath, et al., "Four-Layer ConvNet to Facial Emotion Recognition with Minimal Epochs and the Significance of Data Diversity", Nature Scientific Reports (IF: 4.379, Q1), 2022.
    35. Dashti H. et al. "Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer", BMC Bioinformatics (ERA Rank A, IF: 3.629, Q1), 2022.
    36. Jalayer et al., "HAM-Net: Predictive Business Process Monitoring with a Hierarchical Attention Mechanism", Knowledge-Based Systems Journal (IF: 8.038, Q1), 2022.
    37. Golkar et al., "A Priority Queue-based Telemonitoring System for Automatic Diagnosis of Heart Diseases in Integrated Fog Computing Environments", Sage Journal (IF:3.092), 2022.
    38. Yakhchi, Beheshti, et al. "A Convolutional Attention Network for Unifying General and Sequential Recommenders", Information Processing & Management Journal (Core Rank A, IF: 6.222, Q1), 2022.
    39. Li et al., "Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds", IEEE Transactions on Parallel and Distributed Systems (ERA A* - IF: 8.41, Q1), 2021.
    40. Ghareyazi et al., "Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Drivers in Pancreatic Cancer", Cancer Informatics and Big Data Journal (IF: 6.64, Q1), 2021.
    41. Ghodratnama, Beheshti et al., "Intelligent Narrative Summaries: From Indicative to Informative Summarization", Big Data Research Journal (Q1, IF:3.6, Q1), 2021.
    42. Abu-Salih et al. "Relational Learning Analysis of Social Politics using Knowledge Graph Embedding", Data Mining and Knowledge Discovery Journal (ERA Rank A, Q1), 2021.
    43. Allahbakhsh et al., "SCiMet: Stable, sCalable and reliable Metric-based Framework for Quality Assessment in Collaborative Content Generation Systems", Journal of Informetrics (ERA Rank A, Q1), 2021.
    44. Rajaei et al., "VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis", Genes Journal 12(2) (IF:3.759, Q1), 2021.
    45. Kausar et al., "3D Shallow Deep Neural Network for Fast and Precise Segmentation of Left Atrium", Multimedia Systems Journal (IF: 1.935), 2021.
    46. Rezvani and Beheshti, "Towards Attention-based Context-boosted Cyberbullying Detection", Journal of Data Intelligence, 2021.
    47. Ghafari, Beheshti et al., "Modeling Personality Effect in Trust Prediction", Journal of Data Intelligence, 2021.
    48. Beheshti et al., "Towards Cognitive Recommender Systems", Algorithms Journal (IF: 2.3), 2020
    49. Ghodratnama, Beheshti, et al. "Extractive Document Summarization Based on Dynamic Feature Space Mapping", IEEE Access Journal (IF:4.1, Q1), 2020.
    50. Javed et al., "Novel Deep Learning-enabled LSTM Autoencoder Architecture for Discovering Anomalous Events from Intelligent Transportation Systems", IEEE Intelligent Transportation Systems Transactions (IF: 3.724, Q1), 2020.
    51. Dabbagh, et al., "A Survey of Empirical Performance Evaluation of Permissioned Blockchain Platforms: Challenges and Opportunities", Computers & Security Journal, Elsevier (IF: 3.579, Q1), 2020.
    52. Ghafari, Beheshti, et al., "A Survey on Trust Prediction in Online Social Networks", IEEE Access Journal (IF:4.1, Q1), 2020.
    53. Asadnia et al., "Recent Advances in Sensing and Assessment of Corrosion in Sewage Pipelines", Process Safety and Environmental Protection Journal, Elsevier (IF:5, Q1), 2020.
    54. Yakhchi, Beheshti et al. "Towards Deep Attention-based Sequential Recommender System", IEEE Access Journal (IF:4.1, Q1), 2020.
    55. Tabebordbar, Beheshti et al., "Feature-Based and Adaptive Rule Adaptation in Dynamic Environments", Data Science and Engineering (IF: 1.563), Springer, 2020.
    56. Serhani et al. "Self-Adapting Cloud Services Orchestration for Fulfilling Intensive Sensory Data-Driven IoT Workflows", Elsevier Future Generation Computer Systems Journal (IF:5.768, Q1), 2020.
    57. Niu et al. "Deep feature learnt by conventional deep neural network", Elsevier Computers & Electrical Engineering (IF: 3.818), Volume 84, 2020.
    58. Niu H. et al., "An Ensemble of Locally Reliable Cluster Solutions", Applied Sciences (Computing and Artificial Intelligence) Journal (IF: 1.58), 2020.
    59. Alinejad-Rokny et al. "A Multivariate Data Analytics Approach Revealed No Footprint of APOBEC3 Proteins in Hepatitis B Virus Genome." Journal of Molecular Biology (IF: 5.469, Q1), 2020.
    60. Hosseinpoor et al. "Proposing a novel community detection approach to identify cointeracting genomic regions" Mathematical Biosciences and Engineering (IF: 2.01, Q1) 17.3: 2193, 2020.
    61. Beheshti et al., "DataSynapse: A Social Data Curation Foundry". Distributed and Parallel Databases (DAPD) Journal, 37(3): 351-384, 2019 (ERA Rank: A, Q1)
    62. Beheshti et al., "CoreKG: a Knowledge Lake Service", PVLDB 11(12), 2018 (ERA Rank: A*, Q1)
    63. Beheshti et al., "ProcessAtlas: A Scalable and Extensible Platform for Business Process Analytics". Software Practice And Experience Journal, 2018 (ERA Rank: A, Q1)
    64. Beheshti et al., "A Systematic Review and Comparative Analysis of Cross-Document Coreference Resolution Methods and Tools", Computing Journal, 99(4), 313-349, 2017 (ERA Rank: A, Q1)
    65. Beheshti et al., "Scalable Graph-based OLAP Analytics over Process Execution Data", Distributed and Parallel Databases (DAPD) Journal, 34(3), 379-423, 2016 (ERA Rank: A, Q1).
    66. Hammoud et al., "DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication". PVLDB 8(6): 654-665, 2015, (ERA Rank: A*, Q1).
    67. Batarfi et al., "Large Scale Graph Processing Systems: Survey and An Experimental Evaluation", Cluster Computing Journal (IF: 1.809), DOI: 10.1007/s10586-015-0472-6, 2015.
    68. Allahbakhsh et al., "Representation and Querying of Unfair Evaluations in Social Rating Systems", Computers and Security 41: 68-88, 2014. (IF: 6.45)

    Conferences:

    1. Ou et al., "Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal", The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, 2025 (CORE Rank: A*).
    2. Song et al., "Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation", The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, 2025 (CORE Rank: A*).
    3. Gong et al, "DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation", The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, 2025 (CORE Rank: A*).
    4. Beheshti A., "Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation", IEEE International Conference on Software Services Engineering, IEEE Services, Shenzhen, China, 2024. (CORE Rank: A)
    5. Jia et al., "DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices", Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024 (CORE Rank: A*).
    6. Dong et al., "Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis", IEEE International Conference on Data Mining (ICDM'24), Abu Dhabi, UAE, 2024 (CORE Rank: A*).
    7. Mao et al., "Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia", ACM MULTIMEDIA 2024, 28 Oct - 1 Nov 2024, Melbourne, Australia. (CORE Rank: A*)
    8. Du J., et al., "Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification", 27th International Conference On Medical Image Computing And Computer Assisted Intervention (MICCAI), 6-10 October, MOROCCO, 2024. (CORE Rank: A*)
    9. Lotfi, Beheshti, et al., "The Open Story Model (OSM): Transforming Big Data into Interactive Narratives", The International Conference on Web Services (IEEE ICWS), IEEE Services, Shenzhen, China, 2024. (CORE Rank: A)
    10. Cong, et al., "StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing", The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Thailand, August 11–16, 2024. (CORE Rank: A*)
    11. Luo et al., "Graph Neural Networks for Brain Graph Learning: A Survey", International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju Island, South Korea, August 2024. (CORE Rank: A*)
    12. Chi et al., "Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought", International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju Island, South Korea, August 2024. (CORE Rank: A*)
    13. Shabani, Beheshti, et al., "GraphSUM: Scalable Graph Summarization for Efficient Question Answering", 27th International Conference on Extending Database Technology (EDBT), 2024. (CORE Rank: A)
    14. Jia, et al., "FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing", 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, 2024. (CORE Rank: A*)
    15. Hanif, Beheshti, et al. "EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence", The 17th International Conference on Web Search and Data Mining (WSDM'24), Mérida, Yucatán, 2024. (CORE Rank: A*)
    16. Luo, et al. "An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis", The 17th International Conference on Web Search and Data Mining (WSDM'24), Mérida, Yucatán, 2024. (CORE Rank: A*)
    17. Cao et al., "BiF-AC: A bidirectional feedback actor-critic framework for UAV-UGV graph-based search and rescue operations", The 20th International Conference Advanced Data Mining and Applications (ADMA'24), Sydney, Australia.
    18. Zhang et al., "VAEiForest: Variational Auto-Encoder Enhanced Isolation Forest for Deep Anomaly Detection", The 20th International Conference Advanced Data Mining and Applications (ADMA'24), Sydney, Australia.
    19. Haghighi et al., "Robust Graph Learning against Camouflaged Malicious Actors", International Web Information Systems Engineering conference (WISE'24), Qatar, 2024.
    20. Tu et al., "Semantic Similarity-Based Graph Contrastive Learning for Recommender System", International Web Information Systems Engineering conference (WISE'24), Qatar, 2024.
    21. Chen, et al., "Ecosystem-Based Data Product and DaaS: Complexity Analysis and Design Considerations", The International Conference on Web Services (IEEE ICWS), Shenzhen, China, 2024. (CORE Rank: A)
    22. Shoeibi, et al., "Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models", 10th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC/ICINAC2024), June 4 - June 7, 2024. Olhao, Portugal, 2024.
    23. Kanneganti et al, "A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation", 31st International Conference on Neural Information Processing (ICONIP2024), New Zealand, 2024.
    24. Jain et al., "MedSiML: A Multilingual Approach for Simplifying Medical Texts", 31st International Conference on Neural Information Processing (ICONIP2024), New Zealand, 2024.
    25. Shoeibi, et al., "Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model", 10th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC/ICINAC2024), June 4 - June 7, 2024. Olhao, Portugal, 2024.
    26. Xiang, et al, "Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection", 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, 2023. (CORE Rank: A*)
    27. Beheshti, et al. "ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence", The International Conference on Web Services (ICWS), Chicago, 2023. (CORE Rank: A)
    28. Beheshti, "Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence", The International Conference on Web Services (ICWS), Chicago, 2023. (CORE Rank: A)
    29. Xiang et al., "OptIForest: Optimal Isolation Forest for Anomaly Detection", 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, 2023. (CORE Rank: A*)
    30. Shaw and Beheshti, "Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim", The Web Conference (WWW), Texas, USA, 2023. (CORE Rank: A*)
    31. Rezvani, Beheshti, et al., "A Contextualized Transformer-Based Method for Cyberbullying Detection", The 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023), Thessaloniki, Greece. (CORE Rank: A)
    32. Zhang, et al., "Multi-Granularity Entity Recognition Based Sentence Ranking for Multi-Document Summarization", The 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023), Thessaloniki, Greece. (CORE Rank: A)
    33. Hanif, Beheshti, et al., "A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability", 24th International Conference on Web Information Systems Engineering (WISE 2023), Melbourne, Australia.
    34. He, et al., "Noise-augmented Contrastive Learning for Sequential Recommendation", 24th International Conference on Web Information Systems Engineering (WISE 2023), Melbourne, Australia.
    35. Ghodratnama, Beheshti, et al. "A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data", The International Conference on Web Services (ICWS), Chicago, 2023. (CORE Rank: A)
    36. Li J., et al., "Federated Anomaly Detection With Isolation Forest for IoT Network Traffics", The 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), China, 2023
    37. Yohe K., et al., "Towards Socio-Economic and Culturally-Aware Recommender Systems", 10th IEEE Asia-Pacific Conference on Computer Science and Data Engineering 2023 (IEEE CSDE 2023), Fiji, 2023.
    38. Farhood et al., "Surface Area Estimation using 3D Point Clouds and Delaunay Triangulation", International Conference on Innovations in Computing Research (ICR’23), Madrid, Spain, 2023.
    39. Liu, et al., "DAGAD: Data Augmentation for Graph Anomaly Detection", 22nd IEEE International Conference on Data Mining (ICDM), Orlando, USA, 2022. (CORE Rank: A*)
    40. Beheshti, "Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts", The International Conference on Web Services (ICWS), Spain, 2022. (CORE Rank: A)
    41. Hanif, Beheshti, et al., "Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions", The 9th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2022), Shenzhen, China. (CORE Rank: A)
    42. Shahabikargar, Beheshti, et al., "Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns", The 9th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2022), Shenzhen, China. (CORE Rank: A)
    43. Chen et al., "Towards Data Economy: Are Products and Marketplaces Ready?", 48th International Conference on Very Large Data Bases (VLDB) Workshops, Sydney, Australia 2022 (CORE Rank: A*).
    44. Shabaani, Beheshti, et al., "iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data", 23rd International Conference on Artificial Intelligence in Education (AIED), UK, 2022. (CORE Rank: A)
    45. Gong et al., "DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph", SIGIR'22 (The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval), 2022. (CORE Rank: A*)
    46. luo, Wu, Beheshti, et al. "ComGA:Community-Aware Attributed Graph Anomaly Detection", The Fifteenth International Conference on Web Search and Data Mining (WSDM), Phoenix, Arizona USA, 2022. (CORE Rank: A*)
    47. Anwar A. et al., "A Cricket-based Selection Hyper-heuristic for Many-objective Optimization Problems", 18th International Conference on Advanced Data Mining and Applications (ADMA 2022), Brisbane, Australia, 2022.
    48. Tabebordbar A. et al, "Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique", The 20th International Conference on Advances in Mobile Computing and Multimedia Intelligence (MoMM2022), Bari, Italy, 2022.
    49. Khanna, et al. "Transformer-based Models for Long Document Summarisation in Financial Domain", FNP 2022, To be held at 13th Edition of the Language Resources and Evaluation Conference (LREC 2022), Marseille, France, 2022.
    50. Zhang, Wu, Yang, Beheshti et al., "FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance", 21st IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, 2021. (CORE Rank: A*) *Best Paper Award*
    51. Beheshti, et al., "AI-enabled Processes: The Age of Artificial Intelligence and Big Data", International Conference on Service Oriented Computing (ICSOC), [CORE Rank A], Dubai UAE, 2021.
    52. Dorri, et al., "Towards Scalable Blockchains Using Service-Oriented Architectures", International Conference on Service Oriented Computing (ICSOC), [CORE Rank A], Dubai UAE, 2021.
    53. Wang, Beheshti et al., "Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Instructors’ Workload in Marking Exams",22nd International Conference on Artificial Intelligence in Education (AIED), Netherlands, 2021. (CORE Rank: A)
    54. Beheshti et al., "Towards Predictive Analytics in Mental Health Care", The International IEEE Joint Conference on Neural Networks (IJCNN), 2021. (CORE Rank: A)
    55. Ghodratnama et al., "Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics", The International IEEE Joint Conference on Neural Networks (IJCNN), 2021. (CORE Rank: A)
    56. Khandan, Beheshti et al., "Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification", The 19th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2021), Austria, 2021.
    57. Rouhollahi, Beheshti et al., "Towards Proactive Financial Crime and Fraud Detection through Artificial Intelligence and RegTech Technologies", The 19th International Conference on Advances in Mobile Computing and Multimedia Intelligence (MoMM2021), Austria, 2021.
    58. Barukh et al., "Cognitive Augmentation in Processes", Next-Gen Digital Services (ICSOC), 2021.
    59. Yang et al., "Design Methodology for Service-Based Data Product Sharing and Trading", Next-Gen Digital Services (ICSOC), 2021.
    60. Beheshti et al., "iStory: Intelligent Storytelling with Social Data", TheWebConf (WWW), Taipei, 2020. (CORE Rank: A*)
    61. Beheshti et al., "personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks", 13th ACM International WSDM Conference (WSDM), Houston, Texas, USA, 2020. (CORE Rank: A*)
    62. Khatami et al., "Convolutional Neural Network for Medical Image Classification using Wavelet Features", IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020. (CORE Rank: A)
    63. Jalayer et al., "Attention Mechanism in Predictive Business Process Monitoring", 24th IEEE International EDOC Conference, Netheland, 2020.
    64. Rezvani, Beheshti, et al., "Linking Textual and Image Features for Intelligent Cyberbullying Detection in Social Media", MoMM2020, 30 Nov-2Dec, Thailand, 2020.
    65. Ghafari, Beheshti, et al., "A Dynamic Deep Trust Prediction Approach for Online Social Networks", MoMM2020, 30 Nov-2Dec, Thailand, 2020. *Best Paper Award*
    66. Khadivizand, Beheshti, et al., "Towards Intelligent Feature Engineering for Risk-based Customer Segmentation in Banking", MoMM2020, 30 Nov-2Dec, Thailand, 2020.
    67. Schiliro, Beheshti et al., "A Novel Cognitive Computing Technique using Convolutional Networks for Automating the Criminal Investigation Process in Policing", Intelligent Systems Conference (IntelliSys), Amsterdam, The Netherlands, 2020
    68. Beheshti et al., "Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big Data", 20th International Conference on Web Information Systems Engineering (WISE), Hong Kong, China, 2019. (CORE Rank: A)
    69. Tabebordbar, Beheshti et al., "Adaptive Rule Adaptation in Unstructured and Dynamic Environments", 20th International Conference on Web Information Systems Engineering (WISE), Hong Kong, China, 2019. (CORE Rank: A)
    70. Tabebordbar, Beheshti et al., "ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces", 20th International Conference on Web Information Systems Engineering (WISE), Hong Kong, China, 2019. (CORE Rank: A)
    71. Yakhchi, Beheshti et al., "Enabling the Analysis of Personality Aspects in Recommender Systems", 26th Pacific Asia Conference on Information Systems (PACIS), Xian, China, 2019 . (CORE Rank: A)
    72. Beheshti et al., "Towards Context-aware Social Behavioral analytics", 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019), Munich, Germany, 2019.
    73. Ghafari et al., "DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks", 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019), Munich, Germany, 2019.
    74. Ghafari et al., "Social Context-Aware Trust Prediction: Methods for Identifying Fake News", 19th International Conference on Web Information Systems Engineering (WISE), Dubai, UAE 2018. (CORE Rank: A)
    75. Beheshti et al., "iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes", 16th conference on Business Process Management (BPM), Sydney, Australia, 2018 (CORE Rank: A)
    76. Beheshti et al., "CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation", 30th International Conference on Advanced Information Systems Engineering (CAiSE), Estonia, 2018. (CORE Rank: A)
    77. Schiliro, Beheshti et al., "iCOP: IoT-enabled Policing Processes", The 16th International Conference on Service-Oriented Computing (ICSOC), HangZhou, China, 2018. (CORE Rank: A)
    78. Amouzegar, Beheshti et al., " iSheets: A Spreadsheet-based Machine Learning Development Platform for Data-driven Process Analytics", The 16th International Conference on Service-Oriented Computing (ICSOC), HangZhou, China, 2018. (CORE Rank: A)
    79. Ghafari et al., "SetTRUST: Social Exchange Theory Based Context-Aware Trust Prediction In Online Social Networks", 19th International Conference on Web Information Systems Engineering (WISE) - QUAT  Workshop, Dubai, UAE 2018. (CORE Rank: A)
    80. Yakhchi et al.,"CNR: Cross-network Recommendation Embedding User's Personality", 19th International Conference on Web Information Systems Engineering (WISE) - QUAT  Workshop, Dubai, UAE 2018. (CORE Rank: A)
    81. Tabebordbar, Beheshti, "Adaptive Rule Monitoring System", 40th International Conference on Software Engineering (ICSE-SE4COG), Sweden, 2018. (CORE Rank: A) *Best Paper Award*
    82. Rastan et al., "TEXUS: Table Extraction System for PDF Documents", Australasian Database Conference (ADC), Gold Coast, Australia, 2018.
    83. Shahbaz, Beheshti et al., "iRecruit: Towards Automating the Recruitment Process", Seventh Australasian Symposium on Service Research and Innovation (ASSRI'18), Sydney, Australia, 2018.
    84. Beheshti et al., "CoreDB: a Data Lake Service", 26th ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017. (CORE Rank: A)
    85. Salama et al., "Multi-Level Privacy-Preserving Access Control as a Service for Ambient Assisted Living", 24th IEEE International Conference on Web Services (ICWS), Hawaii, USA, 2017. (CORE Rank: A)
    86. Beheshti et al., "On Automating Basic Data Curation Tasks", 26th International World Wide Web Conference (WWW), Perth, Australia, 2017. (CORE Rank: A)
    87. Beheshti et al., "Galaxy: A Platform for Explorative Analysis of Open Data Sources", 19th International Conference on Extending Database Technology (EDBT), Bordeaux, France, 2016. (CORE Rank: A)
    88. Sun et al.,"Scalable SaaS-based Process Customization with Case Walls", 13th International Conference on Service-Oriented Computing (ICSOC), India, 2015. (CORE Rank: A).
    89. Maamar et al., "A Framework of EnrichingBusiness Processes Life-Cycle with Tagging Information", Australasian Database Conference (ADC), Melbourne, Australia, 2015.
    90. Salih et al., "A Preliminary Approach to Domain-based Evaluation of Users' Trustworthiness in Online Social Networks," IEEE-BigData'15, New York, USA, 2015.
    91. Salih et al., "Towards A Methodology for Social Business Intelligence in the era of Big Social Data incorporating Trust and Semantic Analysis", Springer DaEng'15, Indonesia, 2015.
    92. Barnawi et al., "On Characterizing the Performance of Distributed Graph Computation Platforms". Proceedings of the 6th TPC Technology Conference on Performance Evaluation and Benchmarking (TPCTC 2014), China.
    93. Beheshti et al., "Enabling the Analysis of Cross-Cutting Aspects in Ad-hoc Processes", 25th International Conference on Advanced Information Systems Engineering (CAiSE'13), June 17-21 2013, Valencia, Spain, 2013. (CORE Rank: A)
    94. Allahbakhsh et al., "Collusion Detection in Online Rating Systems", The 15th International Asia-Pacific Web Conference (APWeb'13), Sydney, Australia, April, 2013.
    95. Beheshti et al., "A Framework and a Language for On-Line Analytical Processing on Graphs", 13th International Conference on Web Information System Engineering (WISE'12), pages 213-227, Paphos, Cyprus, November 28-30, 2012. (CORE Rank: A).
    96. Beheshti et al., "FPSPARQL: A Graph Query Engine as a Service", Second Australasian Symposium on Service Research and Innovation (ASSRI'12), Sydney, Australia, November, 2012.
    97. Allahbakhsh et al., "Reputation management in crowdsourcing systems". 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'12): 664-671, 2012.
    98. Beheshti et al., "A query language for analyzing business processes execution". 9th International Conference on Business Process Management (BPM'11), pages 281-297. Springer-Verlag Berlin Heidelberg, 2011, Clermont-Ferrand, France. (CORE Rank: A).

    Open Source Projects:

    Technical Reports:

    • Beheshti, et al., "A Query Language for Summarizing and Analyzing Business Process Data", CoRR abs/2105.10911, 2021.
    • Yakhchi, et al. "Enabling the Analysis of Personality Aspects in Recommender Systems", CoRR abs/2001.04825, 2020.
    • Beheshti, et al., "Data Curation APIs", CoRR abs/1612.03277, 2016.
    • Beheshti, et al., "Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities", CoRR abs/1311.3987, 2013.
    • Allahbakhsh, , et al., "Detecting, Representing and Querying Collusion in Online Rating Systems", CoRR abs/1211.0963, 2012.
    • Allahbakhsh, , et al., "An Analytic Approach to People Evaluation in Crowdsourcing Systems", CoRR abs/1211.3200, 2012.
    • Beheshti, et al., "Temporal Provenance Model (TPM): Model and Query Language", CoRR abs/1211.5009, 2012.
    • Beheshti, et al., "Extending SPARQL to Support Entity Grouping and Path Queries", CoRR abs/1211.5817, 2012.

    Teaching


    Professional Academic Activities

Certificates

Microsoft Certified MCPD, MCTS, MCSD, MCAD, MCP since 2004.

Technical Experience

  • Cloud computing: MapReduce, Google App Engine, Amazon EC2
  • Languages: C#, Java, C/C++, VB.NET
  • Browser Scripting: JavaScript, HTML DOM, DHTML, VBScript, AJAX, jQuery, JSON
  • Server Scripting: SQL, ASP, ADO, PHP, JSP
  • NLP tools and techniques, e.g., OpenNLP, Stanford NLP, and Lingpipe.
  • Services:
    • Protocols: HTTP, SOAP, Web Services
    • Service Description: WSDL, BPEL
    • Security: XML Encryption, XML Signature
  • XML technology: XML, DTD, XML DOM, XSLT, XPath, XQuery, Schema, SVG
  • Semantic Web: RDF, OWL, SPARQL
  • Mark-up languages: XML, XSL, HTML, CSS
  • Design techniques: UML, OO design, Web services
  • Programming tools: Google Web Toolkit, ANT, Make, CVS, SVN
  • Programming IDE: Eclipse, Visual Studio
  • Databases: DB2, PostgreSQL, Microsoft SQL Server, MySQL

Prospective Students

      //  Are *YOU* interested in a Research Degree (Ph.D./Master)?


      var myFieldOfResearch = {'Applied Artificial Intelligence',
                               'Big-Data/Data/Process Science', 
                               'Service/Social/Cognitive Computing',
                               'Business Process Automation/Improvement'};

      if ((yourInterest in myFieldOfResearch) &&
          (yourGPA > 85%) &&
          (yourPublications.count > 1)) {
        me.contact();
      }


      /* Contact Information
      {"myContact":[
          { "eMail" : "ai@mq.edu.au" },
          { "Address": "Centre for Applied Artificial Intelligence, 
                        Macquarie University, Sydney, Australia" }
      ]}
      */