Dr. Wei-Her Hsieh graduated from Fu-Jen Catholic University and pursued a Master's degree in Art at Nottingham Trent University in the UK. After completing his studies, he returned to Taiwan and took up a position as a full-time lecturer in the Department of Fashion Design at Shu-Te University. To further contribute to the fields of education and academia, he dedicated his spare time to preparing for the Ministry of Education's Public Scholarship Examination in Design. He hoped to study abroad again to delve deeper into his past experiences in design practice and teaching research, and to bring back broader international experiences that could help inspire students with a wider perspective and global outlook in future teaching endeavors. Finally, he was awarded the Ministry of Education's public scholarship in 2002. He later graduated with a Ph.D. from the School of Design at the University of Leeds, focusing his doctoral thesis on the theme "How to Bridge the Gap Between Designers and Industry," a topic he believes is highly significant in design management.

In 2018, he presented his research at the 15th International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN 2018), and he is currently using artificial intelligence to detect fashion trends in University Students' Attire. Besides teaching, he has organized several exhibitions and applied for various projects, striving to extend and integrate design into multimedia applications for artistic creation or industrial design. In 2017, he was invited to the Taichung Cultural and Creative Industries Park: Space Petri Dish, Cultural and Creative Alliance Art Exchange Exhibition, and in 2011, he was invited to the Kaohsiung International Han Character Arts Festival, where he showcased an interactive digital art installation titled "The Wearable Telematic Dress."

His research emphasizes the integration of cross-disciplinary advantages, covering fields such as interactive design, creative product design, lifestyle product design, cultural and creative industries, digital content, and industrial economics. He collaborates with graduate students on technology development and theoretical validation, and engages in international academic exchanges and research with Professor Tom Cassidy at the Visual Communication Centre, University of Leeds, to broaden students' international perspectives and enhance the development of subsequent research and practical applications. Additionally, through cross-disciplinary exchanges and collaborative projects, he aims to realize the new concepts and effectiveness of the UK's integrated creative industries.

Fashion design is not only an art but also a discipline closely related to society and culture. Traditional methods of analyzing fashion trends often rely on surveys and street observations, which are time-consuming and subjective. With the development of artificial intelligence and big data technologies, applying object detection techniques to attire analysis can enhance efficiency and provide more objective and comprehensive data. This project aims to bring new opportunities to fashion design research through technological innovation.