Daniel Wai Hou Ng

University of Minnesota

Papers

2

Total Citations

340

H-Index

2

About

Daniel Wai Hou Ng is a leading figure in the convergence of additive manufacturing, artificial intelligence, and smart materials. His research focuses on developing 3D-printed multifunctional systems, with a particular emphasis on flexible piezoelectric sensors and hybrid electronics for applications in soft robotics, wearable technology, and human-machine interfaces. Ng’s most influential work, “3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies,” has garnered over 338 citations, underscoring its foundational impact on the field. This seminal contribution demonstrates how AI can optimize the design and production of materials that sense, actuate, and harvest energy simultaneously. More recently, his 2025 paper on 3D-printed flexible piezoelectric sensors for integrated hybrid electronics highlights his continued innovation in seamlessly merging high-performance smart materials with a common manufacturing platform. By bridging artificial intelligence with advanced fabrication techniques, Ng is paving the way for next-generation devices that are not only functional but also customizable and scalable. His work stands at the forefront of a new era in multifunctional material design, inspiring researchers and engineers to rethink the boundaries of what 3D printing can achieve.

Research Focus

Key Achievements

2
H-Index
2
Papers
340
Total Citations
170
Avg Citations/Paper
🏆 Most Cited Paper
3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies
338 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Minnesota

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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