Dr. Amin Beheshti
  -Head, Data Analytics Research Group,
  -Founder, Big Data Society,
  -Program Leader, Master of Info.Tech,
  -Lecturer in Data Science,
  @Macquarie University, Sydney, Australia
  -Adjunct Lecturer in Computer Science,
  @University of New South Wales, Sydney, Australia

email: amin.beheshti@mq.edu.au
phone: +61 (2) 9850 6344  |  fax: +61 (2) 9850 9551
Address: Data Analytics Research Group, Departmnt of Computing, Macquarie University, Sydney, Australia

Dr Amin Beheshti is the head of the Data Analytics Research Group, Department of Computing, Macquarie University. He is also the Lecturer in Data Science (Macquarie University) and Adjunct Lecturer in Computer Science (UNSW Sydney). Amin completed his PhD and Postdoc in Computer Science and Engineering in UNSW Sydney and holds a Master and Bachelor in Computer Science both with First Class Honours. In addition to his contribution to teaching activities, Amin extensively contributed to research projects; where he was the R&D Team Lead and Key Researcher in the 'Case Walls & Data Curation Foundry' and 'Big Data for Intelligence' projects. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and has been invited to serve and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair and program committee member of top international conferences. He is the leading author of the book entitled "Process Analytics", co-authored with other high-profile researchers in UNSW and IBM research, recently published by Springer.

A brief Story about me:
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                         'Service/Social/Cognitive Computing',
                         'Case/Business-Process Management'};

if ((yourInterest in myFieldOfResearch) &&
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    (yourPublications.count > 1)) {

/* Contact Information

    { "eMail" : "amin.beheshti@mq.edu.au" },
    { "Web"   : "https://data-science-group.github.io/" },
    { "Address": "Data Analytics Research Group, Department of Computing, 
                  Macquarie University, Sydney, Australia" }


Curriculum Vitae

Awards & Scholarships

  • Awarded the followings:
    • 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
    • Australian Postgraduate Award (APA), Australian Government, 2009-2012
    • Engineering Excellence Top-Up Scholarship (EETS), UNSW Australia, 2009-2012
    • Supplementary Engineering Award (SEA), UNSW Australia, 2009-2012
    • Postgraduate Research Support Scheme (PRSS), UNSW Australia, 2011
  • Graduated with First Class Honours M.Sc.
  • Graduated with First Class Honours B.Sc.
  • Have passed the PhD examination where all examiners gave the highest score.
  • Selected as an outstanding instructor in the Ministry of Science, Research & Technology, Zand Institute of Higher Education, 2008.
  • Got the highest instructor evaluation (19.34/20), Shiraz Azad University, 2008.
  • Accepted in the Department of Computer Science and Engineering, Sharif University of Technology Iran-wide doctoral exam (First Honour Quota), 2008. Remarks: I cancelled my PhD in Sharif University of Technology, because I had decided to continue my studies in Australia.

Research Students (Academic Siblings):

  • Samira GHODRATNAMA (@MQ-Sydney)
  • Nabi REZVANI (@MQ-Sydney)
  • Frank SCHILIRO (@MQ-Sydney)
  • Usman SHAHBAZ (@MQ-Sydney)
  • Farhad AMOUZGAR (@MQ-Sydney)
  • Shahpar YAKHCHI (@MQ-Sydney)
  • Mohssen GHAFARI (@MQ-Sydney)
  • Vahid MORAVEJI (@MQ-Sydney)
  • Alireza TABEBORDBAR (@UNSW-Sydney)
  • Maisie BADAMI (@UNSW-Sydney)
  • Senthil YUVARAJ (@UNSW-Sydney)
  • MohammadAli YAGHOUBZADEH (@UNSW-Sydney)
  • Shayan ZAMANIRAD (@UNSW-Sydney)
  • Kushal VAGHANI (@UNSW-Sydney)


Google Scholar

Book and Book Chapter:

  • Beheshti et al. , "Process Analytics: Concepts and techniques for querying and analysing big process data", ISBN 978-3-319-25037-3, Springer, 2016.
  • Beheshti et al. , "Service Research and Innovation, LNBIP 234, Springer, 2018.
  • Beheshti et al. , "Business Process Data Analysis", Springer, 2016.
  • Beheshti et al. , "Model-Based Business Process Query Techniques and Languages", Springer, 2016.
  • Beheshti et al. , "Business Process Paradigms ", Springer, 2016.
  • Beheshti et al. , "Process Matching Techniques", Springer, 2016.
  • Rajabi et al., "Interlinking Big Data and Web of Data". Big Data Optimization, Springer, 2015.
  • Beheshti, "Organizing, Querying, and Analyzing Ad-hoc Processes' Data", PhD thesis, University of New South Wales, Australia, 2012.
Process Analytics Book  


  • Beheshti et al., "DataSynapse: A Social Data Curation Foundry". Distributed and Parallel Databases (DAPD) Journal, 2018 (ERA Rank: A)
  • Beheshti et al., "ProcessAtlas: A Scalable and Extensible Platform for Business Process Analytics". Software Practice And Experience Journal, 2018 (ERA Rank: A)
  • 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)
  • 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).
  • Hammoud et al., "DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication". PVLDB 8(6): 654-665, 2015, (ERA Rank: A*).
  • Batarfi et al., "Large Scale Graph Processing Systems: Survey and An Experimental Evaluation", Cluster Computing Journal, 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. (ERA Rank: B)


  • Beheshti et al., "CoreKG: a Knowledge Lake Service", 44th International Conference on Very Large Data Bases (VLDB), Rio, Brazil, 2018. (ERA Rank: A*)
  • 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. (ERA 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 (ERA 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. (ERA Rank: A)
  • Tabebordbar et al., "Adaptive Rule Monitoring System", 40th International Conference on Software Engineering (ICSE-SE4COG), Sweden, 2018. (ERA Rank: A) *Best Paper Award*
  • Rastan et al., "TEXUS: Table Extraction System for PDF Documents", Australasian Database Conference (ADC), Gold Coast, Australia, 2018.
  • Beheshti et al., "CoreDB: a Data Lake Service", 26th ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017. (ERA 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. (ERA Rank: A)
  • Beheshti et al., "On Automating Basic Data Curation Tasks", 26th International World Wide Web Conference (WWW), Perth, Australia, 2017. (ERA 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. (ERA Rank: A)
  • Sun et al.,"Scalable SaaS-based Process Customization with Case Walls", 13th International Conference on Service-Oriented Computing (ICSOC), India, 2015. (ERA Rank: A).
  • Maamar et al., "A Framework of Enriching Business 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. (ERA 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. (ERA 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. (ERA Rank: A).

Open Source Projects:

Technical Report:

  • 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)
  • 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).
  • More Technical Reports, visit: http://cgi.cse.unsw.edu.au/~reports/
CORE ERA Rankings Portal


Professional Academic Activities

  • Keynote and Tutorial
  • Organizing Committee Member
    • General Chair, Eight Australasian Symposium on Service Research and Innovation (ASSRI), 2018 (LINK)
    • Organizer, Big Data Society Blockchain Hackathon and Workshop, 2018 (LINK)
    • Organizer, Big Data Society BigData Hackathon and Workshop, 2018 (LINK)
    • Organization and Web Chair, Business Process Management (BPM) Conference, 2018 (LINK)
    • Program Chair, Seventh Australasian Symposium on Service Research and Innovation (ASSRI), 2017 (LINK)
    • Publicity Chair, Business Process Management (BPM) Conference, 2015 (LINK)
  • Program Committee Member
    • Business Process Management Conference (BPM); since 2015
    • IEEE International EDOC Conference (EDOC); since 2015
    • International Conference on Business Intelligence and Technology (BUSTECH); since 2012
    • International ACM Conference on MEDES - Big Data Processing and Management Track, 2014
    • International Conference on Advances in Cloud Computing (ACC), 2012
  • Journal Reviews
    • Information Systems, Elsevier
    • Computing, Springer
    • ACM Transactions on the Web (TWEB)
    • Pervasive and Mobile Computing, elsevier
    • Computer Standards & Interfaces, elsevier
    • Transactions on Services Computing, IEEE
    • Transactions on Cloud Computing, IEEE
    • Cluster Computing, Springer
    • Journal of Data Semantics, Springer
    • Concurrency and Computation - Practice and Experience - Wiley
    • Transactions on Internet Technology (TOIT), ACM
  • Conference Reviews: BPM, WWW, CAiSE, ICSOC, DASFAA, ER, ICWS, EDOC, ICWE, CloudCom, ADC, etc.


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


  • email: amin.beheshti@mq.edu.au
  • phone: +61 (2) 9850 6344
  • fax: +61 (2) 9850 9551
  • Address: Data Analytics Research Group, Building E6A-340, 9 Wallys Walk, Macquarie University, Sydney, NSW 2109, Australia