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Dr. Azadeh Ghari-Neiat is a Senior Lecturer in Software Engineering at the University of Queensland. Her research interests lie at the intersection of the Internet of Things (IoT), Mobile Computing, Crowdsourcing, and Cybersecurity. Her work focuses on enhancing connectivity and security in modern computing environments through innovative crowdsourcing solutions. She completed her PhD in Computer Science from RMIT University in 2018. Prior to joining UQ, Dr. Ghari-Neiat held academic positions at Deakin University as a Senior Lecturer and at the University of Sydney as a postdoctoral research fellow and casual lecturer.

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.