CV

I am a PhD Student within UQ Business School, with a focus on Natural Language Processing, Machine Learning, and Information Systems. In addition, my current role as a Casual Academic involves teaching Machine Learning to both undergraduate and postgraduate business students, providing them with a platform for continuous learning and growth.

Education

• Ph.D, School of Business, The University of Queensland (UQ), 2027 (Expected)
• B. Science (Computer Science) & B. Commerce (Business Information Systems), UQ

Work experience

• 2021 - present: Casual Academic, The University of Queensland
  • Teach postgraduate and undergraduate students how to use ML in python
  • Develop assessable material to allow students to critically think about real world applications of ML
• 2021 - present: Casual Research Assistant, The University of Queensland
  • Develop novel Machine Learning (ML) and Natural Processing Language (NLP) methods,
  • Review, edit and proof ongoing research papers within the UQBS.
• 2021 - 2023: Full Stack Developer, KPMG Australia
  • A mid-level developer within the Powered Data & AI team.
  • Understand design principles to create visually appealing components/applications.
  • Develop, innovate, and deliver data driven solutions for clients utilising best practices and expertise.
  • Rapidly deliver development without the overhead of a full tech team.

Publications

The Interplay of Heuristic and Systematic Processing of Information in News Validation: A Natural Language Processing Approach

Boyce J, Namvar M, Lyu B, Liu Y, Mensforth M, Tao HWA (2024) The Interplay of Heuristic and Systematic Processing of Information in News Validation: A Natural Language Processing Approach, 58th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA

Iterative Seed Word Generation for Interactive Topic Modelling: a Mixed Text Processing and Qualitative Content Analysis Approach

Namvar, Morteza; Akhlaghpour, Saeed; Boyce, James; and Sharifi Khajedehi, Salma, "Iterative Seed Word Generation for Interactive Topic Modelling: a Mixed Text Processing and Qualitative Content Analysis Approach" (2022). ICIS 2022 Proceedings. 6.

Exploring the Relationship between Influencers’ Sentiment and Cryptocurrency Fluctuation through Microblogs

Namvar, Morteza; Li, Jingqi; Boyce, James; Akhlaghpour, Saeed; and Indulska, Marta, "Exploring the Relationship between Influencers’ Sentiment and Cryptocurrency Fluctuation through Microblogs" (2022). ACIS 2022 Proceedings. 61.

Moderating Effects of Time-Related Factors in Predicting the Helpfulness of Online Reviews: a Deep Learning Approach

Namvar, M., Boyce, J., Sarna, J., Zheng, Y., Chua, A. Y. K., & Ameli, S. (2021, January). Moderating Effects of Time-Related Factors in Predicting the Helpfulness of Online Reviews: a Deep Learning Approach. In HICSS (pp. 1-9).

Talks

The Matrix of Influence: Generative AI Digital Nudging Permalink

December 15, 2024

TREO Talk at Marriott Marquis Queen’s Park, Bangkok, Thailand

Teaching

The University of Queensland