Topics

1. Digital Design Theory and Methodology
It focuses on the basic theories and methodologies in the field of digital design, including how artificial intelligence can be integrated with design thinking and cognitive science, to build effective design algorithm models, and to promote the development of design from tool-oriented to intelligent. Involving but not limited to:
- Design Intelligence and Algorithm Design Methods: Research on how to use AI algorithms to improve design efficiency and innovation.
- Design Cognitive Science and Artificial Intelligence Collaboration: Research on the cognitive mechanism of designers and the collaborative process of AI auxiliary tools.
- Design Computing and Knowledge Representation Theory: Research on the application of knowledge graph, semantic network and other technologies in the design of knowledge representation.
- Innovative Design Methods and Design Thinking Innovation: Explore new design methods and design thinking models to promote innovation and breakthroughs.

2. Generative Artificial Intelligence (AIGC) and Intelligent Design
Focus on how generative AI (Generative AI) can deeply empower design creativity, automatically generate design solutions and content, and promote the intelligent and automated transformation of the design process. Involving but not limited to:
- Application of Generative AI in Product and Service Design: Discuss the use of generative AI to automate the generation of product ideas.
- Automatic generation and optimization of design content: Investigate how to automatically generate and optimize design proposals, images, text, and product prototypes.
- Research on design aids based on large models: to explore the role of large model technologies (such as GPT series) in assisting design decision-making.
- Human-machine collaborative creative design mechanism: The interaction mechanism and collaboration mode of human and AI tools to co-create design solutions are studied.

3. Digital twin and virtual reality fusion design
Research on how to realize the efficient integration of virtual and real environments through digital twin technology, and apply it to urban construction, intelligent manufacturing, smart environment and other fields. Involving but not limited to:
- Innovative Application of Digital Twin Technology in Engineering Design: Research on the application methods and practical cases of digital twin technology in the process of engineering design.
- Digital Twin City and Smart Environment Design: Discuss the innovative application of digital twin in the design and operation of smart cities and smart environments.
- Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) in Design: Examine how immersive technologies can assist the design process.
- Application of digital twin technology in the fashion industry: Research on the practical application of digital twin technology in virtual try-on, production and supply chain optimization in the fashion industry.

4. Interdisciplinary integration of design and innovative practice
Encourage research and practical experience from different disciplines, and explore the interdisciplinary integration and application of digital design in medical and health, industrial Internet, built environment, cultural creativity and other industries. Involving but not limited to:
- Digital Design and Industrial Internet: Study how the industrial Internet platform supports design innovation and collaborative manufacturing.
- Intelligent design applications in the field of medical and health care: research on the application of digital design methods in the innovation of medical devices, health products and services.
- Digital Innovation in Architecture and Environmental Design: Examine how to use digital technology to improve the efficiency, accuracy and intelligence of built environmental design.
- Research on the digital transformation design of the cultural and creative industry: the study of how the cultural and creative industry can achieve innovation and industrial upgrading with the help of digital design.
- Cross-border design integration and innovation practice between the fashion industry and other industries: This paper studies how the fashion industry can carry out integration and innovation with other industries with the help of digital design to promote industrial collaboration.

5. Design data science and intelligent decision-making
Discuss how to use data-driven design decisions, tap the potential of design data, improve the scientific and accurate design decisions, and create a better user experience. Involving but not limited to:
- Data-driven design decision model: Study how to build data-based design decision models and optimization methods.
- Design big data analysis and application cases: Analyze the actual design big data cases and explore the value of data-driven design.
- User behavior data and experience design optimization: Research how to use user behavior data to optimize design solutions and improve user satisfaction.
- Intelligent Interaction Design and User Interface Innovation: The study of intelligent innovation models in user interface (UI) and interaction design.

6. Sustainable design and green smart design
Focusing on intelligent design innovation under the Sustainable Development Goals, we will study how to combine digital technology with green environmental protection requirements to reduce the environmental impact in the design and production process. Involving but not limited to:
- Digitally Supported Ecological and Sustainable Design: Exploring the ways in which ecological protection and sustainable development concepts can be realized in design.
- Energy-saving and environmentally-friendly intelligent design technology: study how design technology can effectively reduce resource consumption and environmental pollution.
- Design Carbon Footprint Analysis and Optimization Techniques: Research on the use of digital technology to analyze and optimize the carbon footprint of designs.
- Intelligent design solutions for circular economy: study how to achieve a closed loop of product life cycle through intelligent design and promote the development of circular economy.

7. Digital transformation of design education and talent training
Focus on how to realize the innovation of design education mode with the help of digital tools and intelligent platforms in the field of education, and improve the digital literacy and practical ability of design talents. Involving but not limited to:
- Innovation of digital design education mode: Research on the innovation of new teaching methods and models of digital means in design education.
- Educational Practice of Virtual Simulation and Digital Laboratory: Studying how virtual reality technology can improve the effectiveness of design education.
- Research on Talent Training and Digital Skills Development: Discuss talent training strategies and skills training models in the field of future-oriented design.
- Construction and sharing of educational resources based on intelligent platform: This paper studies how to use intelligent technology to build an efficient design educational resource sharing platform.

8. Digital design applications in intelligent manufacturing and industrial upgrading
Emphasize the key role of digital design in intelligent manufacturing and industrial transformation and upgrading, and encourage application research and case analysis in combination with actual industrial scenarios. Involving but not limited to:
- Intelligent Product Design and Rapid Prototyping Technology: Research on rapid prototyping manufacturing methods supported by digital technology.
- Industry 4.0 and Digital Design Process Optimization: Discuss how to use digital means to optimize the design and manufacturing process in the context of Industry 4.0.
- Intelligent design service platform for industrial clusters: Research on the method of building intelligent design service platform for specific industrial clusters.
- Intelligent design-driven collaborative innovation practice of industrial chain: Analyze how to use intelligent design technology to achieve collaborative innovation and integration of upstream and downstream of industrial chain.
- Innovative Application and Industrial Upgrading of Intelligent Manufacturing Technology in the Fashion Industry: Discuss how intelligent manufacturing technology can realize the integration of design and manufacturing, improve production efficiency and upgrade the industrial chain in the fashion industry.