
Always supportive and inspiring to all.
Knowledgeable and truly inspiring educator.
Makes even dry topics interesting.
Helps students see the bigger picture.
A role model for academic excellence.
Dr. Lillian Wang serves as a Lecturer in the School of Information Technology at Monash University Malaysia, within the Faculty of Information Technology. She earned her Bachelor of Information Technology (Honours) in Software Engineering from Multimedia University in 2006, followed by a Master of Engineering Science in 2012, and a Doctor of Philosophy in Information Technology in 2020, also from Multimedia University. With more than 15 years of experience in education, Dr. Wang started her career as an assistant lecturer for six years and has been a lecturer for over nine years. She also possesses five years of training experience in areas such as Google Education, Instructional Design, and Blended Learning. Recognized as a Professional Technologist (Ts.) and Graduate Technologist by the Malaysia Board of Technologists (MBOT), she brings substantial expertise to her role.
Dr. Wang's research specializations include cloud e-learning and educational technology, security and privacy in educational platforms, Internet of Things (IoT), Augmented Reality/Virtual Reality (AR/VR) in education, artificial intelligence (AI) in education, cloud computing, urban transformation, and sustainability research. Her scholarly contributions feature prominent publications such as "Usability factors predicting continuance of intention to use cloud e-learning application" published in Heliyon in 2019, "An empirical study of students' intention to use cloud e-learning in higher education" in the International Journal of Emerging Technologies in Learning in 2020, "Predictive churn modeling for sustainable business in the telecommunication industry: optimized weighted ensemble machine learning" in Sustainability in 2023, "TeachVR: An Immersive Virtual Reality Framework for Computational Thinking Based on Student Preferences" in ACM Transactions on Computing Education in 2025, and "LM DeceptionNet: A multimodal approach for efficient transfer learning-based deception detection" in Knowledge-Based Systems in 2025. She actively reviews for international conferences and journals in fields like information science, communication technology, technology acceptance, and education, and is open to supervising PhD students in her research domains.