Tao Liu - Ph.D. Student in Neural-Based Design and Manufacturing
I am Tao Liu, a Ph.D. student at the University of Manchester, supervised by Professor Charlie C.L. Wang, working in the field of neural-based design and manufacturing optimization. My research focuses on computational geometry, additive manufacturing, and robotics.
Research Interests
My research focuses on multi-axis 3D printing, topology optimization, and computational design frameworks for advanced additive manufacturing. I am particularly interested in:
- Neural implicit representations for geometric modeling
- Computational geometry and surface reconstruction
- Fiber-reinforced composites and material optimization
Education
Before my Ph.D., I received my B.S. and M.S. degrees in Computational Mathematics, supervised by Professor Shengjun LIU from Central South University, ChangSha, China.
Publications & Service
I have published in some journals and conferences such as ACM Transactions on Graphics (TOG), IEEE Transactions on Automation Science and Engineering, and Composites Part B. Beyond research, I also serve as a teaching assistant for programming, modelling, and additive manufacturing courses at Manchester.
I serve as a reviewer for journals and conferences, including:
- ACM SIGGRAPH** and *SIGGRAPH Asia
- ACM Symposium on Computational Fabrication (SCF)
- Additive Manufacturing Process (AMP)
- Computer Aided Design (CAD)
- Computer Aided Geometry Design (CAGD)
- Eurographics (EG)
- Graphical Models (GMod)
- Computers & Graphics (CG)
Open Source Software
Neural Slicer
Multi-axis 3D printing slicer using neural networks
Neural Topology and Manufacturing Optimization
Neural co-optimization framework for structural topology and manufacturing
Implicit Function DLP Slicer
DLP slicer for implicit function representations