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. Zhijie Yang, 2024.9 - , Research topic: AI for solid modeling
2. Yaonaiming Zhao, 2023.9 - , Research topic: microstructure modeling
3. Yuntao Ma, 2023.9 - , Research topic: GPU solid modeling
4. Ziqi Hao, 2023.9 - , Research topic: GPU solid modeling
5. Guoyue Luo, 2022.9 - , Research topic: microstructure modeling
6. Sifan Chen, 2022.2 - , Research topic: microstructure modeling

MASc Students

1. Yutong Sun, 2024.9 - , Research topic: AI for solid modeling
2. Jiaming Zhu, 2024.9 - , Research topic: AI for solid modeling
3. Ziqin Gao, 2024.9 - , Research topic: AI for solid modeling
4. Yitong Wang, 2024.9 - , Research topic: GPU solid modeling
5. Lizhen Zhu, 2023.9 - , Research topic: AI for solid modeling
6. Shuo Liu, 2023.9 - , Research topic: AI for solid modeling
7. Jiayu Wu, 2023.9 - , Research topic: GPU NURBS modeling

Alumni

1. Jianan Wang, MASc, 2022.9 - 2025.9, Research topic: GPU solid modeling
2. Qitong Dong, MASc, 2022.3 - 2025.6, Research topic: NURBS modeling
3. Yunzhu Gao, MASc, 2022.9 - 2025,3, Research topic: GPU solid modeling
4. Ziheng Bao, MASc, 2021.9 - 2024.3, Research topic: GPU NURBS modeling, Now ByteDance