4 Years alumni


Jia Cui

Cui Jia graduated in 2004 with a BSc and in 2007 with an MSc from School of Computer Science and Engineering Information, Shandong Normal University in PRC. After graduation, he worked as a teacher in Shandong Normal University for three years. During this period, he taught some compulsory courses including “Operator System”, “Object-Oriented Program”, and “Database”. Except for teaching, he took part in two research projects which are “Application of Fractal Technology in Anti-counterfeited Product Packing Design” and “Application of Fractal Technology in Product Packing and Innovation of Anti-counterfeit Label Design”. His research topic for his master degree is “Genetic Algorithm on Music Composition”. In 2010, he joined School of Design, The Hong Kong Polytechnic University as a PhD student. His research focuses on design techniques using shape grammar within a generative system.

Research Title
Supporting Product Innovation Using 3D Shape Grammars within a Generative Design Framework

Prof. Ming Xi Tang (Chief Supervisor)

About the Research
During the last decade, a great attention, with the increasingly advanced development of 3D data rendering and acquisition techniques, focused on the topics related 3D models from both scientific and engineering communities. To overcome the difficult and tedious tasks and processes for human designers, generative systems achieved greater creativity and effectiveness with the use of Artificial Intelligence techniques.

Shape Grammars have been used widely as a powerful representation and reasoning method in computational design systems in many fields, such as architecture, aesthetics, engineering design and education. With the development of computer science and evolutionary theories, more sophisticated shape grammar systems are being incorporated into design systems to support conceptual design.

The purpose of this project is to build an interactive generative system as a new tool for designers mainly in the area of product design. The main objectives are

  • Propose a shape grammar, which can support complex graphics presentation and description. It has the ability to model three-dimensional objects and products.
  • Through the introduction of evolutionary algorithms, a generative system, which is based on parameter generation, will be developed to generate more innovative 3D forms by evolutionary operations.
  • Propose an evaluation mechanism to assess the products quality generated by the automatic system.
  • Design a user-friendly user interface to support real product design with a system of shape grammars and rules representing non-geometric features of design.