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
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
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.
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.
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
December 15, 2024
TREO Talk at Marriott Marquis Queen’s Park, Bangkok, Thailand
Teaching