Awards & Scholarships
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Awarded the followings:
- Research Grants (Total Research Funding: $3,962,119.36):
- Beheshti, A. (Principal CI), "Cognitive Recommender Systems"; MQ Linkage: dAIta Pty Ltd and Macquarie University, 2020-2024
- Beheshti, A. (Prinicpal 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), "AI-enabled Banking"; MQ Linkage: Tata Consultancy Services (TCS) and Macquarie University, 2019-2023
[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, 2019-2021
[Featured in News: LINK]
- Beheshti, A. (Principal CI), "Enterprise Insight Analysis"; Linkage: Prospa Advance Pty. and Macquarie University, 2019-2022
- 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: $72,250.00:
- International Workshop on AI-enabled Process Automation December 14-17 2020, ICSOC, Dubai, UAE
- AI-Enabled Banking Hackathon (Sponsors: Tata Consultancy services (TCS); Participants: Westpac), Dec 2020
- AI-Enabled Education Hackathon (Sponsors: IBM, ITIC, AIP Research Centre), March 2020
- Department of Computing Industry Event (Sponsor: ITIC), Nov 2019
- Intelligence-led Policing Hackathon (Sponsors: ITIC, TCS, SAS, AWS, Engenesis), July 2019
- Australasian Computer Science Week (ACSW) (Sponsors: ITIC, AWS, Analytirics, Daton Data), Jan 2019
- Blockchain Hackathon (Sponsors: Agate, AWS, SAS, Engenesis), Sep 2018
- Big Data Aalytics Hackathon (Sponsors: SAS, Yellowfin, Microsoft, Engenesis), July 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.
- Have passed the PhD examination where all examiners gave the highest score.
- 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.
Academic Siblings:
Current Postdocs:
Current Students:
Former Students:
Former Postdocs:
Publications
AUTHORED BOOKS:
- 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 and Book Chapters:
- 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. , "BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data", Springer, 2019.
- Beheshti et al. , "Service Research and Innovation, LNBIP 234, Springer, 2018.
- 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.
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Journal:
- 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), 2021.
- Beheshti et al., "Towards Cognitive Recommender Systems", Algorithms Journal, 2020
- Ghodratnama, Beheshti, et al. "Extractive Document Summarization Based on Dynamic Feature Space Mapping", IEEE Access Journal (IF:4.1), 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), 2020.
- Dabbagh, et al., "A Survey of Empirical Performance Evaluation of Permissioned Blockchain Platforms: Challenges and Opportunities", Computers & Security Journal, Elsevier (IF: 3.579), 2020.
- Ghafari, Beheshti, et al., "A Survey on Trust Prediction in Online Social Networks", IEEE Access Journal (IF:4.1), 2020.
- Asadnia et al., "Recent Advances in Sensing and Assessment of Corrosion in Sewage Pipelines", Process Safety and Environmental Protection Journal, Elsevier (IF:5), 2020.
- Yakhchi, Beheshti et al. "Towards Deep Attention-based Sequential Recommender System", IEEE Access Journal (IF:4.1), 2020.
- Tabebordbar, Beheshti et al., "Feature-Based and Adaptive Rule Adaptation in Dynamic Environments", Data Science and Engineering (DSE), 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), 2020.
- Niu et al. "Deep feature learnt by conventional deep neural network", Elsevier Computers & Electrical Engineering, Volume 84, 2020.
- Niu H. et al., "An Ensemble of Locally Reliable Cluster Solutions", Applied Sciences (Computing and Artificial Intelligence) Journal, 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, 2020.
- Hosseinpoor et al. "Proposing a novel community detection approach to identify cointeracting genomic regions" Mathematical Biosciences and Engineering 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)
- Beheshti et al., "CoreKG: a Knowledge Lake Service", PVLDB 11(12), 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)
Conference:
- 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 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/
Teaching
- Mining Unstructured Data, MQ Sydney
- Big Data, MQ Sydney
- Big Data Technologies, MQ Sydney
- Applications of Data Science, MQ Sydney
- Data Science Capstone Project, MQ Sydney
- Industry Based Internship, MQ Sydney (forms)
- Information Technology Project, MQ Sydney
- Web Application Engineering, UNSW Sydney
- Service Oriented Architecture, UNSW Sydney
- e-Enterprise Project, UNSW Sydney
Professional Academic Activities
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Keynote and Tutorial
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Keynote: "AI-enabled Banking"
TCS/Westpac Hackathon Sydney, Australia, December 2020.
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Panel Chair: "Role of AI in Banking"
TCS/Westpac Hackathon Sydney, Australia, December 2020.
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Keynote: "AI-enabled Education"
IBM Hackathon Sydney, Australia, March 2020.
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Invited Lecture: "Team Building and Leadership"
Leadership in Science, Sydney, April 2020.
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Tutorial: "Intelligent Knowledge Lakes: The Age Of Artificial Intelligence And Big Data"
Web Information System Engineering (WISE) Conference [ERA Rank A], Hong Kong, Jan 2020.
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Panel: "Analytics with Big Data on Web: Is there any AI?"
The Hong Kong Polytechnic University - WISE, Hong Kong, Jan 2020.
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Talk: "From Data Lakes to Intelligent Knowledge Lakes"
University of Malaya, Kuala Lumpur, Malaysia, Jan 2020.
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Talk: "Intelligent Knowledge Lakes"
University of Tasmania, Hobart, Tasmania, Dec 2019.
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Panel and Speaker: "Intelligent Knowledge Lakes as the foundation for big data analytics"
Advancing APS Data Analytics Conference Canberra, Australia, October 2019.
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Keynote: "AI-Enabled Policing Processes"
Emerging Risk - Artificial Intelligence Conference, Australia Federal Police Canberra, Australia, July 2019.
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Panel Chair: "AI-enabled Policing"
Intelligence-Led Policing Hackathon Sydney, Australia, July 2019.
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Keynote: "Intelligence-led policing in the age of AI and Big Data"
Intelligence-Led Policing Hackathon Sydney, Australia, July 2019.
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Talk: "Intelligence-led Big Data Analytics in a 5G World"
5G Business Summit Sydney, Australia, June 2019.
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Panel Chair: "How to leverage your data to enable AI success"
AI Summit NSW, Sydney, Australia, May 2019.
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Talk: "Successful AI Strategy in Data-Driven and Knowledge-Intensive Government Processes"
Artificial Intelligence for Government Conference Canberra, Australia, February 2019.
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Panel Chair: "Measuring the Value of University (Computer/Data Science) Research"
Australasian Computer Science Week (ACSW), Sydney, Australia, January 2019.
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Tutorial: "From Data Lakes to Knowledge Lakes: The Age of Big Data Analytics"
Web Information System Engineering (WISE) Conference [ERA Rank A], Dubai UAE, November 2018.
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Keynote: "Knowledge Lakes in the Age of Big Data"
Big Data & Analytics Innovation Summit, Sydney, Australia September 2018.
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Keynote: "Blockchain and the Future of our Economy"
Blockchain Hackathon, Sydney, Australia, September 2018.
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Keynote: "AI for Education: Cognitive Assistance to Help Students and Teachers"
NSW Schools Teacher's Workshop, Sydney, Australia, July 2018.
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Panel Chair: "The Value of Computer Science Education in Schools"
NSW Schools Teacher's Workshop, Sydney, Australia, July 2018.
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Keynote: "Big Data and the Future of Our Kids"
Big Data Hackathon, Sydney, Australia, July 2018.
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Organizing Committee Member
- Special Session "Knowledge Graphs in Digitalization Era (KGDE)" in the 34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021) will be held in Kuala Lumpur, Malaysia (LINK)
- Organizer, The 1st International Workshop on AI-enabled Process Automation December 14-17 2020, ICSOC, Dubai, UAE (LINK)
- Organizer, Big Data Society Cloud and Data Centers Workshop, 2019 (LINK)
- Sponsorship Chair, Australasian Computer Science Week (ACSW), 2019 (LINK)
- 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)
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Program Committee Member
- BPM, EDOC, SERA, CSII, ICIS, BCD, AI, SNPD, APSCC, EUSPN, ACIS, ICEBE, INTAP, BCD, BUSTECH, ACC, etc.
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Book Reviews
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Journal Reviews
- Transactions on Knowledge and Data Engineering (TKDE), IEEE
- 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
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Conference Reviews
- Conference Reviews: BPM, WWW, CAiSE, ICSOC, DASFAA, ER, ICWS, EDOC, ICWE, CloudCom, ADC, etc.
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.
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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
Contact
- email: amin.beheshti@mq.edu.au
- phone: +61 (2) 9850 6344
- fax: +61 (2) 9850 9551
- Address: Data Analytics Research Lab, Departmnt of Computing, Macquarie University, Sydney, Australia
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