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 and B-rep
  • Structures: large-scale, multi-scale microstructure representation and manipulation ($\mu$-geometric modeling)
• Intelligent design and manufacturing:
  • AI4CAD/CAM: concept interacting, 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. CAD Model Repairing for CAD/CAE Integration, 2025.1 - 2026.12, National Key R\&D Program of China
3. Intelligent 3D CAD Modeling, 2023.1 - 2024.12, Fundamental Research Funds for the Central Universities, China
4. Robust direct modeling for complex products, 2022.1 - 2024.12, NSF of China
5. Intelligent direct modeling for computer-aided design, 2022.1 - 2024.12, NSF of Zhejiang Province
6. Geometric modeling and constraint solving kernels, 2022.1 - 2023.6, Sponsored by Manycore Tech
7. 3D Generative Design Engine, 2024.9 - 2025.12, Sponsored by Shenzhen JLC Technology Group

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. Ziqi Hao, 2023.9 - , Research topic: GPU solid modeling
4. Yuntao Ma, 2023.9 - , Research topic: GPU solid modeling
5. Yaonaiming Zhao, 2023.9 - , Research topic: microstructure modeling
6. Zhijie Yang, 2024.9 - , Research topic: AI for solid modeling
7. Shitianyi Leng, 2025.9 - , Research topic: AI for CAD
8. Jiajun Shen, 2026.1 - , Research topic: AI for CAD

MASc Students

1. Yitong Wang, 2024.9 - , Research topic: GPU solid modeling
2. Yutong Sun, 2024.9 - , Research topic: AI for solid modeling
3. Jiaming Zhu, 2024.9 - , Research topic: AI for solid modeling
4. Ziqin Gao, 2024.9 - , Research topic: AI for solid modeling

Alumni

1. Jiayu Wu, MASc, 2023.9 - 2025.3, Research topic: GPU NURBS modeling, Won the National Scholarship, Now
2. Shuo Liu, MASc, 2023.9 - 2025.3, Research topic: AI for solid modeling, Now Kuaishou
3. Lizhen Zhu, MASc, 2023.9 - 2025.3, Research topic: AI for solid modeling, Won the National Scholarship, Now Manycore
4. Jianan Wang, MASc, 2022.9 - 2025.9, Research topic: GPU solid modeling, Now VoxelDance
5. Qitong Dong, MASc, 2022.3 - 2025.6, Research topic: NURBS modeling, Now open3DX
6. Yunzhu Gao, MASc, 2022.9 - 2025,3, Research topic: GPU solid modeling
7. Ziheng Bao, MASc, 2021.9 - 2024.3, Research topic: GPU NURBS modeling, Now ByteDance