Regular biography
Dr Morteza Namvar is a Senior Lecturer at The University of Queensland's Business School, affiliated with the Centre for the Business and Economics of Health and the Centre for Enterprise AI. His research focuses on Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs) in business contexts. He specializes in applying ML-driven solutions in organizational and healthcare settings, with a particular emphasis on NLP and LLMs for enhancing theory building and text analysis in IS research. Dr Namvar is also Program Convenor of the Master of Business Analytics and has published extensively in leading IS and computer science journals and conferences. His work includes projects with industry partners such as Medical Protection Society (MPS) and PA hospital, where he has applied NLP techniques to improve strategies.
Scholar-generated biography
Dr Morteza Namvar is a Senior Lecturer in Business Information Systems at the University of Queensland, specializing in Machine learning, GenAI, Large-scale text processing, LLM, and Computational Design Science. His research explores the integration of AI technologies in business contexts, focusing on knowledge management, customer segmentation, and data-driven decision-making. Namvar's work includes developing blockchain-based knowledge management models, analyzing the impact of intellectual property on business performance, and leveraging business intelligence for organizational sensemaking. His publications also address challenges in mobile learning apps, telehealth sentiment analysis, and the role of human capital in e-business development. His research emphasizes the application of computational methods to enhance business processes and decision-making.