Dake Ding

Papers

Total Citations

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About

Dake Ding is a forward-thinking researcher at the intersection of advanced data science, cyber-physical systems (CPS), and strategic human resource development. Their work centers on how emerging technologies—including digital twins, robotics, and ICT—can be integrated with intelligent data platforms to drive automation and real-time decision-making in industrial and research settings. Ding’s most-cited paper, a comprehensive survey on Advanced Data Science Platforms for CPS, digital twins, and robotics, has already garnered early attention, reflecting the timeliness and relevance of their contributions. In parallel, Ding addresses the human side of technological transformation through a scoping review on strategic HRD for emerging tech fields, highlighting the critical need for agile workforce strategies in the age of robotics and data science. By bridging technical systems engineering with organizational development, Ding offers a holistic perspective on innovation. Their work is particularly valuable for students and researchers navigating the convergence of automation, intelligent systems, and talent development in the 21st-century landscape.