Multimedia University Cyberjaya | Malaysia
Dr. Jack Ng Kok Wah is a distinguished researcher and Senior Lecturer at the Faculty of Management, Multimedia University (MMU), with over thirty years of professional experience spanning academia and industry. His multidisciplinary expertise bridges healthcare, finance, education, and tourism, underscoring his commitment to advancing knowledge that drives real-world transformation. As a leading scholar in artificial intelligence and digital marketing, Dr. Ng’s research focuses on AI applications in healthcare systems, digital mental health interventions, agricultural innovation, and evolving patterns in consumer behaviour. His publications in Q1 and Q2 indexed journals have significantly contributed to contemporary discourse on data-driven decision-making, digital transformation, and technology adoption in service industries. In addition to his research accomplishments, Dr. Ng is an HRDF-certified and accredited trainer and a PIKOM-certified professional, actively involved in professional development and capacity building across Malaysia. His approach to education integrates innovation with applied learning, empowering students and professionals to harness AI and digital technologies effectively. Multilingual and technologically adept, he is also deeply engaged in promoting the practical translation of academic research into strategies that benefit both industry and society. Through his scholarly contributions and leadership, Dr. Jack Ng Kok Wah continues to play a pivotal role in shaping the future of AI-driven business practices and digital innovation, fostering collaborations that connect research excellence with impactful societal outcomes.
Profiles: Scopus | Orcid | Google Scholar
Featured Publications
Ng, J. N. K. W. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(Article 47).
Ng, J. N. K. W. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.
Ng, J. N. K. W. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.
Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis, and model fit measures. Normality of Data Distribution Analysis & Model Fit Measures.
Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.