Jack Ng Kok Wah | Management and Accounting | Outstanding Educator Award

Dr. Jack Ng Kok Wah | Management and Accounting | Outstanding Educator Award 

Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is a dynamic and forward-thinking academic leader, researcher, and trainer, currently serving as a Senior Lecturer at the Faculty of Management, Multimedia University (MMU), Malaysia. With over three decades of experience spanning academia and industry, he has established himself as an influential figure in the fields of artificial intelligence (AI), digital healthcare, mental health innovation, agricultural technology, and consumer behaviour research. His professional journey reflects a rare blend of academic rigor and practical expertise, driven by a passion to bridge scientific insight with societal and industrial transformation. Dr. Ng holds a PhD in Business from Universiti Malaya-Wales (UMW), an MBA in Marketing Management from Nottingham Trent University, UK, and a BA (Hons) in Marketing Management from University of Northumbria at Newcastle, UK. As an HRDF-certified and accredited trainer and a PIKOM-certified professional, he brings a multidisciplinary understanding of marketing, management, AI, and human development. His academic foundation, combined with extensive professional experience, enables him to mentor students and organizations in applying digital innovation for real-world impact. A prolific scholar, Dr. Ng has published more than 10 Q1 and Q2-ranked papers in Scopus and Web of Science (WoS) indexed journals between 2024 and 2025. His research has made significant contributions across several domains. In AI and healthcare, he explores how artificial intelligence, robotics, and machine learning can enhance surgical precision, reduce risk, and personalize medical treatment—highlighted in high-impact journals such as Frontiers in Public Health and Journal of Robotic Surgery. His notable works include “The Rise of Robotics and AI-Assisted Surgery in Modern Healthcare” and “AI-Driven Robotic Surgery in Oncology: Advancing Precision, Personalization, and Patient Outcomes.” These publications not only demonstrate his academic excellence but also his commitment to improving healthcare accessibility and efficiency through technology. Beyond healthcare, Dr. Ng’s research on AI in agriculture and food innovation addresses sustainability and global food security challenges. His paper “The Role of AI in Transforming Agriculture: Toward Sustainable Growth in an Era of Climate Change” highlights how intelligent technologies can optimize farming efficiency, resource management, and crop resilience. Similarly, his study on “AI-Driven 3D and 4D Food Printing” explores futuristic applications of additive manufacturing in food production, emphasizing environmental sustainability, personalization, and global scalability.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Ng Kok Wah, J. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19, Article 47.

Ng Kok Wah, J. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.

Ng Kok Wah, J. (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.

Ng Kok Wah, J. (2025). Decoding structural equation modeling: Insights on data assumptions, normality, and model fit in advancing digital marketing strategies. Journal of Cases on Information Technology, 27(1), 20.

Ng Kok Wah, J. (2025). AI-driven 3D and 4D food printing: Innovations for sustainability, personalization, and global applications. Food Reviews International, 1–29.

Ng Kok Wah, J. (2025). Empowering healthier decisions: The impact of consumer innovativeness on linking perceived benefits with protective health behaviors through digital marketing in the health sector. International Journal of Pharmaceutical and Healthcare Marketing.

Ng Kok Wah, J. (2025). Mental health in transition: Exploring the impact of remote and hybrid work on employee well-being in the evolving post-pandemic workplace. Xinan Jiaotong Daxue Xuebao / Journal of Southwest Jiaotong University, 60(2).

Xiaosheng Yu | Business | Best Researcher Award

Prof Dr. Xiaosheng Yu | Business | Best Researcher Award 

Henan University of Animal Husbandry and Economy | china

Professor Xiaosheng Yu is a distinguished scholar and leader in the field of cold chain logistics and supply chain management, with a strong record of research, innovation, and practical impact. Recognized as an Academic and Technological Leader of Henan Province, he has received multiple accolades, including the Teaching Excellence Award of Henan Provincial Universities, recognition as a High-level Talent of Henan Province (Category C), and designation as a Young and Middle-aged Backbone Teacher of Henan Province. Additionally, he holds the Education Management Talent certification issued by the Department of Education of Henan Province, reflecting his broad expertise in both academic leadership and applied research. Professor Yu has led a wide array of research initiatives, serving as principal investigator for one National Social Science Foundation project, five provincial or ministerial-level projects, and an ongoing provincial project. His research contributions have generated substantial academic influence, with a total of 201 citations, and he has published 23 peer-reviewed papers indexed in major databases including SCI and Scopus. These publications span topics in cold chain logistics business models, technological innovation, operational management, and supply chain efficiency. Professor Yu has also contributed significantly to standard-setting and policy development in the logistics sector. He played a central role in reviewing and finalizing the National Occupational Skill Standard for Cold Storage Workers (2020 edition) and has guided numerous enterprises in cold chain logistics innovation. His expertise has informed the formulation of provincial logistics development plans, enabling high-quality and technologically advanced growth in regional logistics systems. A prolific author, Professor Yu has published six textbooks and academic monographs with ISBN numbers, providing a foundation for knowledge dissemination and training in cold chain logistics and operational management. He holds two authorized invention patents, reflecting his commitment to technological innovation and practical solutions in logistics engineering. Furthermore, his editorial service as a board member of the Journal of Henan University of Animal Husbandry and Economy and his active participation in professional organizations, including as Council Member of the China Society of Logistics and Vice President of the Henan Logistics Association, underscore his leadership and recognition within the professional community. Professor Yu’s research agenda integrates advanced data analytics, technological innovation, and operational management to improve efficiency, traceability, and sustainability in cold chain logistics. He has established a multidimensional traceability system for cold chain products, conducted continuous research on cold chain business models, and championed the adoption of information technology to optimize supply chain performance. His work has generated measurable improvements in industry standards, enterprise operations, and regional logistics planning, reflecting a sustained commitment to bridging theory and practice. Through his interdisciplinary research, policy contributions, and industry engagement, Professor Xiaosheng Yu has advanced the development of cold chain logistics in China, establishing innovative methodologies, operational frameworks, and technological solutions that enhance the efficiency, safety, and sustainability of food and product supply chains. His work exemplifies the integration of academic excellence, industrial relevance, and societal impact, positioning him as a leading figure in logistics and supply chain research.

Profile: Orcid | Author Profile

Featured Publications

Yu, X. (2021). Image enhancement of cross-border e-commerce logistics video surveillance based on partial differential equations. Advances in Mathematical Physics, 2021, 9544018. https://doi.org/10.1155/2021/9544018

Yu, X. (2021). Design and implementation of a low‐cost universal RFID wireless logistics terminal in the process of logistics traceability. Journal of Sensors, 2021, 9755258. https://doi.org/10.1155/2021/9755258