Tao Liu - Ph.D. Student in Neural-Based Design and Manufacturing

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. Some of my first-author publications include:

• Neural co-optimization of structural topology, manufacturable layers, and path orientations for fiber-reinforced composites (ACM TOG, 2025)
• Neural Slicer for Multi-Axis 3D Printing (ACM TOG, 2024)
• Curve-Based Slicer for Multi-Axis DLP 3D Printing (ACM TOG, 2025) - Best Paper Award, SIGGRAPH Asia
• Can Any Model Be Fabricated? Inverse Operation Based Planning for Hybrid Additive-Subtractive Manufacturing (ACM TOG, 2025) - Monthly Paper Award, School of Engineering, University of Manchester

I also 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