Kate Ryabchykova

Kate Ryabchykova is a Lecturer in CAD Fashion at the Manchester Fashion Institute, Manchester Metropolitan University. She joined as a guest Lecturer in January 2021 and secured a full-time position in August 2022, bringing extensive international experience from teaching positions across multiple continents.

Education:

• MA (Hons) Fashion Design and Fashion Education (with Distinction)
• BA (Hons) Fashion Design and Technology

Ryabchykova's research focuses on the intersection of digital technologies and fashion education, with particular emphasis on 3D digital fashion applications, intercultural competence in global fashion education, and the integration of AI-powered tools into curriculum development. Her work explores both practical applications in garment manufacturing processes and theoretical frameworks for 'virtual-only' fashion concepts. She has developed a unique international approach to teaching through her experiences across different cultural contexts.

Her publication record shows a consistent focus on how digital technologies transform fashion education and industry practices. The articles demonstrate a progression from foundational work on intercultural competence and virtual mobility in fashion education (2016-2018) toward more recent explorations of AI applications in fashion industry competency development (2024). The research spans practical industry applications, educational methodology development, and cross-cultural business strategy for fashion communities.

Professional Experience Highlights:

• Lecturer at Arch Academy of Design, Jaipur (India)
• Lecturer at Academy of Design, Colombo (Sri Lanka)
• Private teaching and consulting with fashion schools across Ukraine, Slovakia, USA, and UK
• Established a 3D visualization agency working with brands like 'VR Neighbourhood', 'Sealskinz', and 'Cybernite'
• Industry experience with global manufacturers including Brandix, MAS, and Inqube

Ryabchykova maintains an active international research profile with publications spanning multiple languages and geographic contexts, reflecting her commitment to cross-cultural approaches in fashion education and practice. Her work bridges academic theory with industry applications, particularly in the rapidly evolving field of digital fashion technologies.