Dapeng Liu

Lecturer

Dr. Dapeng Liu is a lecturer at the School of Information Systems and Technology Management at the University of New South Wales Sydney. Dapeng received his Ph.D. degree at Virginia Commonwealth University, recognized as Dean's Scholar 2019.

His research interests include business intelligence, knowledge engineering, data interoperability, and information security and privacy. He has published in several top-tier Information Systems journals including the Journal of the Association for Information Systems, Decision Support Systems, European Journal of Information Systems, and AIS Transaction on HCI. His research has been supported by the Microsoft Azure Research Award. Dr. Dapeng Liu has rich lecturing experience in database design and management, cybersecurity, data analytics, and text mining. He is a certified Python Programming Associate, IBM Data Science Professional, and Google Cloud Security Professional.

He is serving on the Editorial Board of the International Journal of Information Management and Journal of Database Management. He serves on UNSW ECAN Administrative Committee to facilitate ECA leadership.

Journal articles
add
Lin J; Carter L; Liu D, 2021, 'Privacy concerns and digital government: exploring citizen willingness to adopt the COVIDSafe app', European Journal of Information Systems, http://dx.doi.org/10.1080/0960085X.2021.1920857
2021
Liu D; Etudo U; Yoon V, 2020, 'X-IM Framework to Overcome Semantic Heterogeneity Across XBRL Filings', Journal of the Association for Information Systems, vol. 21, pp. 971 - 1000, http://dx.doi.org/10.17705/1jais.00626
2020
Liu D; Weistroffer HR, 2020, 'Statistically Significant! But Is Trust of Practical Significance?', Journal of Computer Information Systems, pp. 1 - 12, http://dx.doi.org/10.1080/08874417.2020.1783723
2020
Li Y; Thomas M; Liu D, 2020, 'From semantics to pragmatics: where IS can lead in Natural Language Processing (NLP) research', European Journal of Information Systems, http://dx.doi.org/10.1080/0960085X.2020.1816145
2020
Carter L; Liu D; Caley C, 2020, 'Exploring the Intersection of the Digital Divide and Artificial Intelligence: A Hermeneutic Literature', AIS Transactions on Human-Computer Interaction, http://dx.doi.org/10.17705/1thci.00138
2020
Etudo U; Yoon V; Liu D, 2017, 'Financial Concept Element Mapper (FinCEM) for XBRL interoperability: Utilizing the M3 Plus method', Decision Support Systems, vol. 98, pp. 36 - 48, http://dx.doi.org/10.1016/j.dss.2017.04.006
2017
Book Chapters
add
Thomas MA; Abraham DS; Liu D, 2020, 'An Assessment of Federated Machine Learning for Translational Research', in Interdisciplinary Approaches to Digital Transformation and Innovation, http://dx.doi.org/10.4018/978-1-7998-1879-3.ch006
2020
Conference Papers
add
Liu D; Yoon V, 2019, 'Leveraging Indexical Pragmatics (OFIP) for search engine: An ontology-based approach', in Proceedings of the Annual Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, pp. 1144 - 1153, presented at Hawaii International Conference on System Sciences, http://dx.doi.org/10.24251/hicss.2019.140
2019
Liu D; Carter L, 2018, 'Impact of citizens' privacy concerns on e-government adoption', in Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Association for Computing Machinery (ACM), Delft, The Netherlands, presented at The 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Delft, The Netherlands, 30 May 2018 - 01 June 2018, http://dx.doi.org/10.1145/3209281.3209340
2018
Thomas MA; Abraham DS; Liu D, 2018, 'Federated machine learning for translational research', in Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
2018
Carter L; Liu D, 2018, 'Technology humanness, trust and e-government adoption', in ACIS 2018 - 29th Australasian Conference on Information Systems
2018
Carter L; Liu D, 2018, 'Technology humanness, trust and e-government adoption', in ACIS 2018 - 29th Australasian Conference on Information Systems, http://dx.doi.org/10.5130/acis2018.cp
2018
Liu D; Weistroffer HR, 2017, 'Is system quality irrelevant to system use? A literature review of the relationship between system quality and system use', in AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation
2017
Liu D; Li Y; Thomas MA, 2017, 'A roadmap for natural language processing research in information systems', in Proceedings of the Annual Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, pp. 1112 - 1121, presented at Hawaii International Conference on System Sciences, http://dx.doi.org/10.24251/hicss.2017.132
2017

Machine Learning, Natural Language Processing, and Semantic Web;

Python, R, Java, Oracle, NoSQL, and SPARQL;

AWS, Azure, and Google Cloud.

UNSW courses:

  • ZZBU6511 Predictive Analytics
  • INFS1603 Introduction to Business Databases
  • COMM1822 Introduction to Databases for Business Analytics

Other courses:

  • Text Mining and Ontology (with Python)
  • Analysis and Design of Database Systems
  • Principles of Computer and IS Security
  • Big Data Analytics