Design and Manufacturing Automation Lab (DMA Lab)

In DMA Lab, we are interested in questions like: Which parts are computerizable in design and manufacturing processes, especially for those form-related tasks? What are general computational principles underlying design and manufacturing? How can we apply the principles and build tools to automate the processes? These are the sort of stuff we are trying to understand in shaping what it means to design by the computer and manufacture in the computer.

In the short term, we are working on the following “concept-shape-process” problems:

• Geometric and physical modeling:
  • Surfaces and Solids: NURBS computing and B-rep editing
  • Structures: large-scale, multi-scale microstructure representation and manipulation
• Intelligent design and manufacturing:
  • AI4CAD/CAM: concepts, CAD modeling, and CAM planning
  • Physics-informed CAD/CAM: surfaces, solids, microstructures, and process paths

Funding:

1. 3D CAD Modeler for Intelligent Engineering Design, 2024.1 - 2026.12, Key R&D Program of Zhejiang Province
2. Intelligent 3D CAD Modeling, 2023.1 - 2024.12, Fundamental Research Funds for the Central Universities, China
3. Robust direct modeling for complex products, 2022.1 - 2024.12, NSF of China
4. Intelligent direct modeling for computer-aided design, 2022.1 - 2024.12, NSF of Zhejiang Province
5. Geometric modeling and constraint solving kernels, 2022.1 - 2023.6, Key R&D Program of Zhejiang Province

Students:

Some must-knows before working in our group.

Ph.D. Students

1. Sifan Chen, 2022.2 - , Research topic: microstructure modeling
2. Guoyue Luo, 2022.9 - , Research topic: microstructure modeling
3. Yuntao Ma, 2023.9 - , Research topic: GPU-based solid modeling
4. Ziqi Hao, 2023.9 - , Research topic: GPU-based solid modeling
5. Yaonaiming Zhao, 2023.9 - , Research topic: microstructure modeling

MASc Students

1. Qitong Dong, 2022.3 - , Research topic: NURBS modeling
2. Yunzhu Gao, 2022.9 - , Research topic: GPU-based solid modeling
3. Jianan Wang, 2022.9 - , Research topic: GPU-based solid modeling
4. Lizhen Zhu, 2023.9 - , Research topic: AI-based NURBS/B-rep modeling
5. Shuo Liu, 2023.9 - , Research topic: AI-based B-rep modeling
6. Jiayu Wu, 2023.9 - , Research topic: GPU-based NURBS modeling

Alumni

1. Ziheng Bao, 2021.9 - 2024.3, Research topic: GPU-based NURBS modeling, Now ByteDance