معرفی
Lemai Nguyen is an Associate Professor in Information Systems and Business Analytics at Deakin Business School, Faculty of Business and Law, Deakin University. Her research and teaching are deeply rooted in the intersection of artificial intelligence, digital health, and socio-technical systems, with a strong emphasis on responsible and human-centered technology design.
Her research interests include:
- Human-AI interaction and empathetic AI
- Applied machine learning in business and healthcare
- Digital health and health informatics
- Socio-technical analysis of digital technologies
- Digital and data analytics maturity assessment
- Creativity and problem-solving processes
- Ethics and responsible AI
Her recent publications reflect a strong focus on the application of AI and digital technologies in healthcare, particularly in diabetes management, digital health literacy, and patient-provider collaboration. She also explores AI in marketing (e.g., AI influencers), tourism, and sustainability. Her work spans both technical development and socio-organizational impact, often using frameworks like UTAUT and socio-ecological-technical models.
She has received several scientific honors, including:
- Deakin Vice-Chancellor’s Award for Teaching Excellence (2023)
- Best Paper Award in Healthcare (2023)
- Multiple Best Track Awards at the Australasian Conference on Information Systems (ACIS)
- Fellow of the Australasian Institute of Digital Health (FAIDH)
- Senior Certified Professional, Australian Computer Society
Lemai Nguyen actively supervises PhD and Master’s students, with current research on empathetic AI, blockchain adoption, and Indigenous health technologies. She has led and contributed to research grants from the Department of Health, Western Victoria PHN, Tata Consultancy Services, and others, focusing on digital health evaluation, data analytics maturity, and technology implementation.
She is also deeply involved in professional service, serving as:
- Section Editor, Australasian Journal of Information Systems
- Review Editor, Digital Health Frontiers
- Track Co-chair for Digital Health at ACIS (2011–2013, 2017–2024)
- Track Co-chair for AI in Business and Society at PACIS 2024
- Associate Editor for AI in Business and Society at ICIS 2024
- Ad-hoc reviewer for top journals including European Journal of Information Systems and Journal of the Association for Information Systems
She teaches subjects such as Machine Learning in Business, Artificial Intelligence for Business, Digital Business Analysis, and Predictive Analytics, shaping the next generation of data-savvy business leaders.
