Shu-Han Chang

National Taiwan University of Science and Technology, CTBC Business School

Papers

Total Citations

H-Index

About

Shu-Han Chang is a researcher whose work spans advanced manufacturing, robotics, and financial technology. In manufacturing, Chang has focused on optimizing spray painting processes for complex geometries, notably bicycle frames. Their 2015 paper introduced a "shape signature" approach to path planning and trajectory generation, using detailed dimensional data from the workpiece to enhance efficiency—a contribution that has garnered 5 citations and offers practical insights for automated industrial applications. In the fintech domain, Chang explored the convergence of artificial intelligence and blockchain, analyzing how these technologies transform financial services. Their 2018 study examined implementations by global leaders like Amazon, UPS, and Alibaba, highlighting AI’s role in fraud detection and blockchain’s in secure transactions, earning 4 citations. This dual expertise—bridging physical automation and digital finance—demonstrates Chang’s versatility in addressing real-world challenges. While citation counts are modest, the work reflects a forward-looking approach, integrating data-driven strategies in robotics and emerging tech in financial systems, making it valuable for students and researchers interested in applied AI, manufacturing optimization, and fintech innovation.