Dr Morteza Namvar
Senior Lecturer
School of Business
Affiliate of Centre for Enterprise AI
Centre for Enterprise AI
+61 7 344 31211
Room 518, Joyce Ackroyd Building, St. Lucia Campus
Researcher biography
Dr. Morteza Namvar is a Senior Lecturer at the UQ Business School and a member of Future of health - Business School - University of Queensland. He specializes in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs) in business contexts. With a strong foundation in computer science and IT engineering, he brings interdisciplinary expertise to his research, focusing on the application of ML-driven solutions in organizational and healthcare settings.
Morteza is deeply committed to advancing ML, NLP, and LLM research in business and healthcare, mentoring PhD and HDR students in leveraging these technologies to drive innovation, automation, and efficiency across various industries. He has successfully secured competitive funding for multiple ML and NLP projects and has published extensively in leading IS and computer science journals and conferences.
Beyond research, Morteza is passionate about educating the next generation of ML practitioners. His teaching focuses on hands-on ML development using Python, equipping students with the technical skills and confidence needed to excel in the rapidly evolving field of machine learning.
Journal Articles
Namvar, Morteza, Im, Ghiyoung P., Li, Jingqi (Celeste) and Chung, Claris (2024). Data-driven sensegiving and sensemaking: a phenomenological investigation. Information Technology & People, 1-27. doi: 10.1108/itp-05-2023-0452
Li, Jingqi Celeste, Namvar, Morteza, Im, Ghiyoung P. and Akhlaghpour, Saeed (2024). Machine Learning Based Decision-Making: A Sensemaking Perspective. Australasian Journal of Information Systems, 28 4781, 1-22. doi: 10.3127/ajis.v28.4781
Namvar, Morteza and Leclaire, Sebastien (2023). LaBCof: Lattice Boltzmann boundary condition framework. Computer Physics Communications, 285 108647, 1-20. doi: 10.1016/j.cpc.2022.108647
Pool, Javad, Namvar, Morteza, Akhlaghpour, Saeed and Fatehi, Farhad (2022). Exploring public opinion about telehealth during COVID-19 by social media analytics. Journal of Telemedicine and Telecare, 28 (10), 718-725. doi: 10.1177/1357633x221122112
Namvar, Morteza, Intezari, Ali, Akhlaghpour, Saeed and Brienza, Justin P. (2022). Beyond effective use: integrating wise reasoning in machine learning development. International Journal of Information Management, 69 102566, 102566. doi: 10.1016/j.ijinfomgt.2022.102566
Namvar, Morteza and Chua, Alton Y.K. (2022). The impact of context clues on online review helpfulness. Internet Research, 33 (3), 1015-1030. doi: 10.1108/intr-02-2021-0093
Gholizadeh, Mehran, Akhlaghpour, Saeed, Namvar, Morteza and Teixeira Isaias, Pedro (2022). Emergent affordances and potential challenges of mobile learning apps: Insights from online reviews. Information Technology & People, 35 (7), 2500-2517. doi: 10.1108/itp-05-2021-0412
philsoophian, Maryam, Akhavan, Peyman and Namvar, Morteza (2022). The mediating role of blockchain technology in improvement of knowledge sharing for supply chain management. Management Decision, 60 (3), 784-805. doi: 10.1108/MD-08-2020-1122
Naghavipour, Hadi, Soon, Tey Kok, Idris, Mohd Yamani Idna Bin, Namvar, Morteza, Salleh, Rosli Bin and Gani, Abdullah (2022). Hybrid metaheuristics for QoS-Aware Service Composition: a systematic mapping study. IEEE Access, 10, 12678-12701. doi: 10.1109/access.2021.3133505
Intezari, Ali, Namvar, Morteza and Taghinejad, Ramin (2022). Knowledge identity (KI): a determining factor in the effective use of analytics. Knowledge Management Research and Practice, 20 (1), 14-33. doi: 10.1080/14778238.2021.1967213
Namvar, Morteza, Intezari, Ali and Im, Ghiyoung (2021). Sensegiving in organizations via the use of business analytics. Information Technology & People, 34 (6), 1615-1638. doi: 10.1108/itp-10-2020-0735
Namvar, Morteza, Cybulski, Jacob L., Phang, Cynthia Su Chen, Ee, Yaw Seng and Tan, Kevin Tee Liang (2018). Simplifying sensemaking: concept, process, strengths, shortcomings, and ways forward for information systems in contemporary business environments. Australasian Journal of Information Systems, 22 1654. doi: 10.3127/ajis.v22i0.1654
Namvar, Morteza, Cybulski, Jacob L. and Perera, Luckmika (2016). Using business intelligence to support the process of organizational sensemaking. Communications of the Association for Information Systems, 38 (1) 20, 330-352. doi: 10.17705/1CAIS.03820
Namvar, Morteza and Khalilzadeh, Pejman (2013). Exploring the role of intellectual capital in the development of e-business models: evidence from the Iranian carpet industry. International Journal of Commerce and Management, 23 (2), 97-112. doi: 10.1108/10569211311324902
Namvar, Morteza, Khakabimamaghani, Sahand and Gholamian, Mohammad Reza (2011). An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features. International Journal of Electronic Customer Relationship Management, 5 (3-4), 220-235. doi: 10.1504/IJECRM.2011.044688
Namvar, Morteza, Fathian, Mohammad, Akhavan, Peyman and Gholamian, Mohammad Reza (2010). Exploring the impacts of intellectual property on intellectual capital and company performance: The case of Iranian computer and electronic organizations. Management Decision, 48 (5), 676-697. doi: 10.1108/00251741011043876
Conference Papers
Sharifi, Salma, Namvar, Morteza, Intezari, Ali and Akhlaghpour, Saeed (2024). Healthcare LLMs go to market: a realist review of product launch news. 34th Medical Informatics Europe Conference, MIE 2024, Athens, Greece, 25-29 August 2024. Amsterdam, Netherlands: IOS Press. doi: 10.3233/shti240513
Xie, Hetiao (Slim), Namvar, Morteza, Risius, Marten and Akhlaghpour, Saeed (2024). Navigating Implicit Hate Speech - A Scoping Review. European Conference on Information Systems, Paphos, Cyprus, 13-19 June 2024. Atlanta, GA United States: Association for Information Systems.
Li, Jingqi (Celeste), Namvar, Morteza, Akhlaghpour, Saeed and Indulsk, Marta (2024). Constructing patient representation through semi-supervised topic modeling. Pacific Asia Conference on Information Systems (PACIS), Ho Chi Minh City, Vietnam, 1-5 July 2024. Atlanta, GA USA: Association for Information Systems.
Pool, Javad, Fatehi, Farhad, Sharifi, Salma, Namvar, Morteza and Akhlaghpour, Saeed (2024). Unpacking sociotechnical discourses on telehealth use and data protection: a path towards digital health value creation. Amsterdam, Netherlands: IOS Press. doi: 10.3233/SHTI240013
Xie, Hetiao (Slim), Namvar, Morteza and Risius, Marten (2023). A Review of Hate Speech Detection: Challenges and Innovations. Digit 2023, Hyderabad, India, December 10, 2023. Atlanta, GA United States: Association for Information Systems.
Namvar, Morteza, Li, Jingqi and Akhlaghpour, Saeed (2023). Understanding Bitcoin fluctuations via Tweet and user characteristics. Pacific Asia Conference on Information Systems (PACIS), Nanchang, China, 8-12 July 2023. Atlanta, GA United States: Association for Information Systems.
Dorwat, Shardul, Namvar, Morteza and Akhlaghpour, Saeed (2023). Revisiting Review Depth in Search for Helpful Online Reviews. 56th Hawaii International Conference on System Sciences (HICSS), Maui, HI United States, 3-6 January 2023. Piscataway, NJ United States: IEEE Computer Society.
Namvar, Morteza, Li, Jingqi, Boyce, James, Akhlaghpour, Saeed and Indulska, Marta (2022). Exploring the relationship between influencers’ sentiment and cryptocurrency fluctuation through microblogs. ACIS 2022 - Australasian Conference on Information Systems, Melbourne, VIC, Australia, 4-7 December 2022. Atlanta, GA, United States: Association for Information Systems.
Namvar, Morteza, Akhlaghpour, Saeed, Boyce, James and Sharifi, Salma (2022). Iterative seed word generation for interactive topic modelling: a mixed text processing and qualitative content analysis approach. International Conference on Information Systems (ICIS), Copenhagen, Denmark, 9-14 December 2022. Atlanta, GA United States: Association for Information Systems.
Namvar, Morteza, Akhlaghpour, Saeed, Pool, Javad and Priscilia, Anisa (2022). Towards explaining user satisfaction with contact tracing mobile applications in a time of pandemic: a text analytics approach. Hawaii International Conference on System Sciences (HICSS), Hawaii, United States, 3-7 January 2022. Roskilde, Denmark: Roskilde University. doi: 10.24251/HICSS.2022.293
Sharifi Khajedehi, Salma, Namvar, Morteza, Pool, Javad and Akhlaghpour, Saeed (2022). On Justification: Legislating a Digital First Artifact. International Conference on Information Systems (ICIS) , Copenhagen, Denmark, 19-14 December 2022. Atlanta, GA United States: AIS eLibrary.
Gholizadeh, Mehran, Akhlaghpour, Saeed, Teixeira Isaias, Pedro and Namvar, Morteza (2021). Utilitarian, hedonic and monetary motivations of using mobile learning apps: Opinion mining using big data text analytics. Australasian Conference on Information Systems 2021, Sydney, NSW Australia, 6-10 December 2021. Association for Information Systems.
Intezari, Ali, Namvar, Morteza and Taghinejhad, Ramin (2021). Knowledge Identity (KI): A New Approach to Integrating Knowledge Management into Enterprise Systems. Hawaii International Conference on System Sciences (HICSS), Hawaii, United States, 5-8 January 2021. Honolulu, HI United States: HICCS. doi: 10.24251/hicss.2021.594
Namvar, Morteza and Intezari, Ali (2021). Wise data-driven decision-making. Conference on e-Business, e-Services and e-Society, Galway, Ireland, 1-3 September 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-85447-8_10
Namvar, Morteza, Boyce, James, Sarna, Jatin, Zheng, Yuanyuan, Chua Yeow Kuan, Alton and Ameli, Sina (2021). Moderating effects of time-related factors in predicting the helpfulness of online reviews: a deep learning approach. Hawaii International Conference on System Sciences 2021, Kauai, HI, United States, 5- 8 January 2021. IEEE Computer Society. doi: 10.24251/hicss.2021.092
Namvar, Morteza (2020). A novel approach to predict the helpfulness of online reviews. Hawaii International Conference on System Sciences , Maui, HI, United States, 7-10 January 2020. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2020.348
Akhavan, Peyman, Philsoophian, Maryam, Rajabion, Lila and Namvar, Morteza (2018). Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge management. 19th European Conference on Knowledge Management, ECKM 2018, Padua, Italy, 6-7 September 2018. Sonning Common, United Kingdom: Academic Conferences and Publishing International.
Namvar, Morteza and Cybulski, Jacob (2014). BI-based organizations: a sensemaking perspective. 35th International Conference on Information Systems, Auckland, New Zealand, 14-17 December 2014. Association for Information Systems.
Namvar, Morteza, Fathian, Mohammad, Gholamin, Mohammad R. and Akhavan, Peyman (2011). Exploring the role of human capital on firm's structural capital in Iranian e-business industry. 3rd International Conference on Information and Financial Engineering (ICIFE 2011), Shanghai, China, 19-21 August 2011 . Singapore: IACSIT Press.
Namvar, Morteza, Gholamian, Mohammad R. and KhakAbi, Sahand (2010). A two phase clustering method for intelligent customer segmentation. UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, Liverpool, United Kingdom, 27-29 Jan 2010. Los Alamitos, CA USA: IEEE Computer Society. doi: 10.1109/ISMS.2010.48
KhakAbi, Sahand, Gholamian, Mohammad R. and Namvar, Morteza (2010). Data mining applications in customer churn management. UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2010, Liverpool, United Kingdom, 27-29 January 2010. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISMS.2010.49