Charlie C.L. Wang, Fellow of ASME & SMA

Professor and Chair in Smart Manufacturing | Department Head of Research

Department of Mechanical and Aerospace Engineering
The University of Manchester

Address: Core One, 4th Floor, Nancy Rothwell Building, Booth St E, Manchester M1 7HL
Email: charlie.wang@manchester.ac.uk

Research interests: Digital Manufacturing, Computational Design, Additive Manufacturing, Soft Robotics, Geometric Computing, and Computer Graphics.


Professor Charlie C.L. Wang is internationally recognized for his research in geometry-driven intelligence for design and manufacturing, where he has established geometric computing and optimization as foundational mechanisms for intelligent engineering solutions. His work has transformed the integration of design, analysis, and fabrication by embedding manufacturability, material behaviour, and process constraints directly into geometric design variables, enabling adaptive, high-performance manufacturing systems across additive and hybrid processes. He is currently a Professor as Chair in Smart Manufacturing at the University of Manchester (UoM) holding an EPSRC Open Fellowship (2023-2028) on Field Computation Based Kernel for Vector 3D Printing. Before joining UoM in 2020, he worked as Professor and Chair of Advanced Manufacturing at Delft University of Technology and as Professor of Mechanical and Automation Engineering at the Chinese University of Hong Kong. Prof. Wang has received numerous recognitions, including the ASME CIE Excellence in Research Award (2016), ten Best Paper Awards, five project-oriented awards, and three teaching awards. He is Fellow of the American Society of Mechanical Engineers (ASME) and the Solid Modelling Association (SMA).


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News & Highlights:
  • Our paper "Curve-based slicer for multi-axis DLP 3D printing" (ACM Transactions on Graphics, vol.44, no.6, article no.194, 2025) received the Best Paper Award - Technical Papers at SIGGRAPH Asia 2025, December 15-18, 2025, Hong Kong
  • Our paper "Correspondence-free, function-based sim-to-real learning for deformable surface control" was accepted by IEEE Transactions on Robotics, December 2025
  • Two papers "Curve-based slicer for multi-axis DLP 3D printing" and "Can any model be fabricated? Inverse operation based planning for hybrid additive-subtractive manufacturing" were accepted by SIGGRAPH Asia, December 15-18, 2025, Hong Kong
  • Charlie has received the recognition as Fellow of the Solid Modelling Association (SMA), November 2025
  • Our paper "Neural co-optimization of structural topology, manufacturable layers, and path orientations for fiber-reinforced composites" was accepted by SIGGRAPH, August 10-14, 2025, Vancouver, Canada
  • Dr. Guoxin Fang, who graduated from our group in 2022, has joined the Chinese University of Hong Kong as an Assistant Professor at the Department of Mechanical and Automation Engineering in October 2023
  • Charlie has received an EPSRC Fellowship Grant for the research project "Field Computation Based Kernel for Vector 3D Printing", August 2023
  • Our paper "Vector field based volume peeling for multi-axis machining" received the CIE Best Paper Award at ASME IDETC/CIE 2023 Conference, August 20-23, 2023, Boston, United States
  • Dr. Rob Scharff, who graduated from our group in 2021, has joined the Hong Kong University of Science and Technology as an Assistant Professor at the Division of Integrative Systems and Design in January 2023
  • Our paper "S^3-Slicer: A general slicing framework for multi-axis 3D printing" (ACM Transactions on Graphics, vol.41, no.6, article no.277, 2023) received the Best Paper Award - Technical Papers at SIGGRAPH Asia 2022, December 6-9, Daegu, Korea
  • Our project "Multi-axis robot-based bioprinting system supporting natural cell function preservation and cardiac tissue fabrication" won the MedTech Award in 3D Pioneers Challenge, May 2022
  • Our project "SORO-MADE: Soft robotic mannequin with programmable shape deformation" was funded by UK Engineering and Physical Sciences Research Council (EPSRC), March 2022
  • A new project "Toolpath algorithms for 5XCAM hybrid manufacturing" was sponsored by 5AXISWORKS Ltd via Innovate UK Smart Grants, July 2021
  • The whole research team moved to Manchester to establish a new Digital Manufacturing Lab, August 2020



    Last Updated: 01/2026