Hau Hing Chau

University of Leeds

Papers

2

Total Citations

13

H-Index

2

About

Hau Hing Chau’s research focuses on design information management, product lifecycle engineering, and the formal representation of design structures. Their major contribution lies in developing methods to embed multiple design definitions into a single, shareable framework, enabling seamless reuse of design data across different stages of a product’s life cycle. This work addresses a critical challenge in engineering: how to maintain consistency and facilitate change when design information is fragmented across teams and tools. Chau’s most-cited paper, “Sharing design definitions across product life cycles” (2019, 9 citations), demonstrates the feasibility of this approach using lattice theory and qualitative data analysis, supported by a detailed case study of a collision avoidance robot (2016, 4 citations). While their citation counts are modest, the conceptual novelty of their work—bridging formal mathematical structures with practical design reuse—offers a valuable foundation for researchers in design theory, product data management, and systems engineering. Chau’s research is particularly notable for its interdisciplinary methodology, combining abstract modeling with hands-on robotics case studies to validate real-world applicability.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Sharing design definitions across product life cycles
9 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Leeds

Top Papers

  1. 1
  2. 2
    Embedding multiple design structures into design definitions: A Case study of a collision avoidance robot
    4 citations · 2016

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago