Dr. Amin Beheshti
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. Additionally, he is an Adjunct Professor of Computer Science at UNSW 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. Alongside his teaching activities, Amin has made significant contributions to research projects, serving as the R&D Team Lead and Key Researcher in the 'Case Walls & Data Curation Foundry' and 'Big Data for Intelligence' projects. These projects were awarded the National Security Impact Award in both 2016 and 2017. As a distinguished researcher in Big-Data/Data/Process Analytics, 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 secured over $21 million in research grants for AI-Enabled, Data-Centric, and Intelligence-Led projects.
Awards & Grants | Supervision | Publications | Teaching | Professional Activities
A brief Story about me:

   
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Curriculum Vitae

Awards & Grants

  • Awards:
    • Excellence in Research Innovation, Partnership & Entrepreneurship, Macquarie University, 2022
    • Best Student Paper Award, The IEEE International Conference on Data Mining (ICDM), 2021
    • Best Paper Award The 18th International Conference on Advances in Mobile Computing & Multimedia (MoMM), 2020
    • Best Paper Award, IEEE/ACM 40th International Conference on Software Engineering (ICSE), SE4COG Workshop, 2018
    • National Security Impact Award, Technology Transfer from CaseWalls Project to Investigation Management System, D2D.CRC, 2017
    • Recognition Award, Data to Decision CRC, 2017
    • Outstanding Reviewer, Elsevier, 2017
    • National Security Impact Award, Integrated Law Enforcement Project, D2D.CRC, 2016
    • Recognition Award, Data to Decision CRC, 2016
    • Postdoctoral Writing Grant, UNSW Australia, 2013
    • Postgraduate Research Support Scheme (PRSS), UNSW Australia, 2011
    • Supplementary Engineering Award (SEA), UNSW Australia, 2009-2012
    • Engineering Excellence Top-Up Scholarship (EETS), UNSW Australia, 2009-2012
    • Australian Postgraduate Award (APA), Australian Government, 2009-2012
    • Graduated with First Class Honours M.Sc.
    • Graduated with First Class Honours B.Sc.
    • Selected as an outstanding lecturer in the Ministry of Science, Research & Technology, Zand Institute of Higher Education, 2008.
    • Accepted in the Department of Computer Science and Engineering, Sharif University of Technology Iran-wide doctoral exam (First Honour Quota), 2008. Remarks: I canceled my Ph.D. at the Sharif University of Technology, because I had decided to continue my studies in Australia.
  • Awarded the Followings Grants:
    • Research Grants (Total Research Funding: $21,194,867.00):
      • 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.
      • 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.
      • 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.
      • 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 Lucii/trUUth, 2022-2026.
      • 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.
      • Beheshti A. (Principal CI), Lee Y. (CI), "Conversational Artificial Intelligence Powered Chatbot for Career Counselling", MQ Enterprise Partnership with Faethm Pty Ltd, 2022.
      • 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.
      • 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
      • Asadnia, M. (Principal CI), Abbassi R. (CI), Beheshti, A. (CI), "Novel Electrochemical Metal Ion Sensors for Wireless Water Quality Monitoring" 2022-2024.
      • 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.
      • Beheshti, A. (Principal CI), Sheng, M. (CI), "Intelligent Data Science Pipelines", MQ Linkage: YIRIGAA Pty Ltd and Macquarie University, 2021-2025.
      • 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,
      • 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.
      • 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.
      • 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.
      • 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.
      • 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]
      • Beheshti, A. (Principal CI), "Cognitive Recommender Systems"; MQ Linkage: dAIta Pty Ltd and Macquarie University, 2020-2024.
      • Beheshti, A. (Principal CI), "AI-enabled Banking"; MQ Linkage: Tata Consultancy Services (TCS) and Macquarie University, 2020-2023.
        • [Featured in News: LINK]
      • 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.
      • 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.
      • Beheshti, A. (Principal CI), "Intelligence-led Teaching and Learning"; Linkage: ITIC Training and Resourcing and Macquarie University, 2019-2023.
      • 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.
      • 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.
      • 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.
      • 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.
      • Beheshti, A. (Principal CI), "Price optimisation using deep reinforcement learning"; Linkage: Intellify Pty Ltd. and Macquarie University, 2019-2022.
      • Beheshti, A. (Principal CI), "Linking Cognitive Science and Computer Science"; MQ FSE VRF Grant, Macquarie University, 2019.
      • Beheshti, A. (Principal CI) & Yang, J. (CI), "Cognitive Social Network Analytics"; MQNS Grant, Macquarie University, 2018-2020.
      • Beheshti, A. (Principal CI), Ghafari, S., Joshi, A., "Trust prediction in online social networks"; CSIRO-PhD Scholarship, 2018-2019.
    • Industry Sponsorship Funding: $132,750.00:
      • Check the complete list of sponsored event HERE

    Academic Siblings:

    Current Postdocs:

    Current Students:

    Former Students:

    Former Postdocs:

    Publications

    AUTHORED BOOKS:

    • Beheshti et al., "Social Data Analytics", ISBN 978-1-032-19627-5, CRC Press, 2022.
    • Beheshti et al., "Process Analytics: Concepts and techniques for querying and analysing big process data", ISBN 978-3-319-25037-3, Springer, 2016.
    • Beheshti, "Organizing, Querying, and Analyzing Ad-hoc Processes' Data", PhD thesis, University of New South Wales, Australia, 2012.

    Edited Books:

    • Asadnia et al., "Artificial Intelligence and Data Science in Environmental Sensing"", ISBN 978-0-323-90508-4, Elsevier, 2022.
    • Hacid et al., "Service-Oriented Computing", ICSOC 2021 Workshops Proceedings. LNCS 13121, ISBN: 978-3-030-91430-1, Springer 2021.
    • Hacid et al., "Service-Oriented Computing", ICSOC 2020 Workshops Proceedings. LNCS 12632, ISBN 978-3-030-76351-0, Springer 2020.
    • Beheshti et al. , "Service Research and Innovation"", LNBIP 234, Springer, 2018.

    Book Chapters:

    • Beheshti et al. "Social Data Analytics: Challenges and Opportunities", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Organizing Social Data", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Curating Social Data", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Social Media Text Analytics", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Social Media Image and Video Analytics", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Summarizing Social Data", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Storytelling with Social Data", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Social Data and Recommender Systems: The Future of Personalization", Social Data Analytics, CRC Press, 2022.
    • Beheshti et al. "Social Data Analytics Applications", Social Data Analytics, CRC Press, 2022.
    • Farhood H. et al. "Recent Advances of Image Processing Techniques in Agriculture", Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, 2022.
    • Beheshti et al. , "BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data", Springer, 2021.
    • 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.
    • Beheshti et al. , "Introduction to Process Analytics", Springer, 2016.
    • Beheshti et al. , "Process Matching Techniques", Springer, 2016.
    • Beheshti et al. , "Model-Based Business Process Query Techniques and Languages", Springer, 2016.
    • Beheshti et al. , "Business Process Data Analysis", Springer, 2016.
    • Beheshti et al. , "Process Analytics: Tools, Use Cases, and Discussions", Springer, 2016.
    • Rajabi et al., "Interlinking Big Data and Web of Data". Big Data Optimization, Springer, 2015.

    Patents:

    Tutorials:

    Journals:

    • Lotfi, Beheshti et al., "Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools", Algorithms Journal, 2023.
    • 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.
    • Wang, Beheshti, et al,. "Learning Distributed Representations and Deep Embedded Clustering of Texts", Algorithms Journal, 2023.
    • Sobhanmanesh, Beheshti et al., "A Cognitive Model for Technology Adoption", Algorithms Journal, 2023.
    • Shabani, Beheshti et al., "A Rule-based Approach for Mining Creative Thinking Patterns from Big Educational Data", Applied Math Journal, 2023.
    • 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.
    • Zhao et al., "Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis", Neural Networks Journal (IF: 9.657, Q1), 2022.
    • 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.
    • 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.
    • Labani, Beheshti, et al., "KARAJ: An efficient adaptive multi-processor tool to streamline", impact factor international journal of molecular sciences (IF: 6.208), 2022.
    • 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.
    • Salih et al., "An Intelligent System for Multi-topic Social Spam Detection in Microblogging", Journal of Information Science (IF: 3.282), 2022.
    • Matulionyte R. et al., “Should AI-enabled Medical Devices be Explainable?”, International Journal of Law and Information Technology (IF: 2.85, Q1), 2022
    • 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.
    • 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.
    • 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.
    • Jalayer et al., "HAM-Net: Predictive Business Process Monitoring with a Hierarchical Attention Mechanism", Knowledge-Based Systems Journal (IF: 8.038, Q1), 2022.
    • 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.
    • 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.
    • 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.
    • 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.
    • Ghodratnama, Beheshti et al., "Intelligent Narrative Summaries: From Indicative to Informative Summarization", Big Data Research Journal (Q1, IF:3.6, Q1), 2021.
    • 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.
    • 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.
    • Rajaei et al., "VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis", Genes Journal 12(2) (IF:3.759, Q1), 2021.
    • Kausar et al., "3D Shallow Deep Neural Network for Fast and Precise Segmentation of Left Atrium", Multimedia Systems Journal (IF: 1.935), 2021.
    • Rezvani and Beheshti, "Towards Attention-based Context-boosted Cyberbullying Detection", Journal of Data Intelligence, 2021.
    • Ghafari, Beheshti et al., "Modeling Personality Effect in Trust Prediction", Journal of Data Intelligence, 2021.
    • Beheshti et al., "Towards Cognitive Recommender Systems", Algorithms Journal (IF: 2.267), 2020
    • Ghodratnama, Beheshti, et al. "Extractive Document Summarization Based on Dynamic Feature Space Mapping", IEEE Access Journal (IF:4.1, Q1), 2020.
    • 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.
    • 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.
    • Ghafari, Beheshti, et al., "A Survey on Trust Prediction in Online Social Networks", IEEE Access Journal (IF:4.1, Q1), 2020.
    • 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.
    • Yakhchi, Beheshti et al. "Towards Deep Attention-based Sequential Recommender System", IEEE Access Journal (IF:4.1, Q1), 2020.
    • Tabebordbar, Beheshti et al., "Feature-Based and Adaptive Rule Adaptation in Dynamic Environments", Data Science and Engineering (IF: 1.563), Springer, 2020.
    • 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.
    • Niu et al. "Deep feature learnt by conventional deep neural network", Elsevier Computers & Electrical Engineering (IF: 3.818), Volume 84, 2020.
    • Niu H. et al., "An Ensemble of Locally Reliable Cluster Solutions", Applied Sciences (Computing and Artificial Intelligence) Journal (IF: 1.58), 2020.
    • 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.
    • 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.
    • Beheshti et al., "DataSynapse: A Social Data Curation Foundry". Distributed and Parallel Databases (DAPD) Journal, 37(3): 351-384, 2019 (ERA Rank: A, Q1)
    • Beheshti et al., "CoreKG: a Knowledge Lake Service", PVLDB 11(12), 2018 (ERA Rank: A*, Q1)
    • Beheshti et al., "ProcessAtlas: A Scalable and Extensible Platform for Business Process Analytics". Software Practice And Experience Journal, 2018 (ERA Rank: A, Q1)
    • 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)
    • 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).
    • Hammoud et al., "DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication". PVLDB 8(6): 654-665, 2015, (ERA Rank: A*, Q1).
    • 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.
    • Allahbakhsh et al., "Representation and Querying of Unfair Evaluations in Social Rating Systems", Computers and Security 41: 68-88, 2014. (IF: 6.45)

    Conferences:

    • Shaw and Beheshti, "Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim", The Web Conference (WWW), Texas, USA, 2023. (CORE Rank: A*) new
    • 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.
    • Liu, et al., "DAGAD: Data Augmentation for Graph Anomaly Detection", 22nd IEEE International Conference on Data Mining (ICDM), Orlando, USA, 2022. (CORE Rank: A*)
    • 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)
    • 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)
    • 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)
    • 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*).
    • 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)
    • 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*)
    • 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*)
    • 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.
    • 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.
    • 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.
    • 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*
    • 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.
    • Dorri, et al., "Towards Scalable Blockchains Using Service-Oriented Architectures", International Conference on Service Oriented Computing (ICSOC), [CORE Rank A], Dubai UAE, 2021.
    • 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)
    • Beheshti et al., "Towards Predictive Analytics in Mental Health Care", The International IEEE Joint Conference on Neural Networks (IJCNN), 2021. (CORE Rank: A)
    • 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)
    • 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.
    • 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.
    • Barukh et al., "Cognitive Augmentation in Processes", Next-Gen Digital Services (ICSOC), 2021.
    • Yang et al., "Design Methodology for Service-Based Data Product Sharing and Trading", Next-Gen Digital Services (ICSOC), 2021.
    • Beheshti et al., "iStory: Intelligent Storytelling with Social Data", TheWebConf (WWW), Taipei, 2020. (CORE Rank: A*)
    • 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*)
    • 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)
    • Jalayer et al., "Attention Mechanism in Predictive Business Process Monitoring", 24th IEEE International EDOC Conference, Netheland, 2020.
    • Rezvani, Beheshti, et al., "Linking Textual and Image Features for Intelligent Cyberbullying Detection in Social Media", MoMM2020, 30 Nov-2Dec, Thailand, 2020.
    • Ghafari, Beheshti, et al., "A Dynamic Deep Trust Prediction Approach for Online Social Networks", MoMM2020, 30 Nov-2Dec, Thailand, 2020. *Best Paper Award*
    • Khadivizand, Beheshti, et al., "Towards Intelligent Feature Engineering for Risk-based Customer Segmentation in Banking", MoMM2020, 30 Nov-2Dec, Thailand, 2020.
    • 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
    • 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)
    • 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)
    • 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)
    • 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)
    • Beheshti et al., "Towards Context-aware Social Behavioral analytics", 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019), Munich, Germany, 2019.
    • 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.
    • 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)
    • 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)
    • 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)
    • Schiliro, Beheshti et al., "iCOP: IoT-enabled Policing Processes", The 16th International Conference on Service-Oriented Computing (ICSOC), HangZhou, China, 2018. (CORE Rank: A)
    • 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)
    • 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)
    • 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)
    • Tabebordbar, Beheshti, "Adaptive Rule Monitoring System", 40th International Conference on Software Engineering (ICSE-SE4COG), Sweden, 2018. (CORE Rank: A) *Best Paper Award*
    • Rastan et al., "TEXUS: Table Extraction System for PDF Documents", Australasian Database Conference (ADC), Gold Coast, Australia, 2018.
    • Shahbaz, Beheshti et al., "iRecruit: Towards Automating the Recruitment Process", Seventh Australasian Symposium on Service Research and Innovation (ASSRI'18), Sydney, Australia, 2018.
    • Beheshti et al., "CoreDB: a Data Lake Service", 26th ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017. (CORE Rank: A)
    • 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)
    • Beheshti et al., "On Automating Basic Data Curation Tasks", 26th International World Wide Web Conference (WWW), Perth, Australia, 2017. (CORE Rank: A)
    • 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)
    • Sun et al.,"Scalable SaaS-based Process Customization with Case Walls", 13th International Conference on Service-Oriented Computing (ICSOC), India, 2015. (CORE Rank: A).
    • Maamar et al., "A Framework of EnrichingBusiness Processes Life-Cycle with Tagging Information", Australasian Database Conference (ADC), Melbourne, Australia, 2015.
    • Salih et al., "A Preliminary Approach to Domain-based Evaluation of Users' Trustworthiness in Online Social Networks," IEEE-BigData'15, New York, USA, 2015.
    • 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.
    • 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.
    • 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)
    • Allahbakhsh et al., "Collusion Detection in Online Rating Systems", The 15th International Asia-Pacific Web Conference (APWeb'13), Sydney, Australia, April, 2013.
    • 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).
    • 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.
    • Allahbakhsh et al., "Reputation management in crowdsourcing systems". 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'12): 664-671, 2012.
    • 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.

Techical 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