Dr. Zhao's presentation explores how data analytics and AI are transforming the fashion industry. Using techniques like data mining and computer vision, computational approaches tackle challenges and provide actionable insights across the fashion value chain—from material sourcing to customer feedback. The talk introduces different types of data used in the fashion industry and highlights key research advancements related to fashion studies. It also emphasizes how integrating computational techniques with traditional fashion research can improve daily operations and support more sustainable practices. Additionally, the presentation offers valuable insights for fashion scholars and practitioners, guiding them on how to address these challenges and leverage these innovative methods to enhance their research and professional work within their unique contexts.
Dr. Zhao is an Associate Professor and Director of Graduate Studies in the Department of Textile and Apparel Management at the University of Missouri. Her research focuses on digital innovation and big data analytics, examining the impact of digital transformation in the global fashion supply chain. She has authored over 90 research papers published in international journals, book chapters, and conference proceedings, covering topics such as digital innovation, fashion data analytics, and sustainability. Her contributions to the field have been recognized with numerous accolades from international conferences and journals, including the 2022 Rising Star Award from ITAA, three Paper of Distinction Awards, the Most Cited Paper Award, the Best Impact Award, the Best Paper Award from Fashion and Textiles, and the HES teaching Award, among others.
