Rate My Professor Lillian Wang

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.