Shuangshan (Nors). Li
- M.S., Applied & Computational Mathematics, University of Washington-Seattle
- M.S., Materials Science and Engineering, University of Washington-Seattle
- M.S, Materials Engineering, University of Dayton
Shuangshan received his B.S. in Composite Materials from Heilongjiang Institute of Technology. From 2016 to 2018, he worked in Shandong Province Key Laboratory of High Performance & Functional Polymer Materials, Yantai, Shandong, China, for Self-healing materials research, and Center for Ports and Coastal Disaster Prevention & Mitigation, Yantai, Shandong, China for modeling of sediment transport.
In 2018, he came to the University of Dayton and directed by Khalid Lafdi for the synthesis and properties of nanomaterials and 3D printing of nanomaterials. Since 2020, he came to the University of Washington-Seattle and study for materials and applied mathematics.
Shuangshan has many experiences in materials, computation, and mathematics, and he has been working in the intersection of 3D printing materials and computing.
- Additive Manufacturing, Stochastic Dynamics, Fluid flow, Carbon Science and Technology, Data Science, Deep Learning
He aims to design an intelligent additive manufacturing system that could not only monitor the fabrication process but also design a real-time fabrication strategy by itself. Finally, to achieve a self-monitored and adjusted system to adapt to various external environments, and realize the controllable anisotropic nature of the product.
Fourier-Transform Infrared Spectroscopy (FTIR)
Scanning Electron Microscopy (SEM)
Thermo Gravimetric Analyzer (TGA)
Thermal Analyzer (TMA)
Dynamic Mechanical Analysis (DMA)
Differential Scanning Calorimeter (DSC)
Adobe After Effects
Cooperation, Perseverance, Future.Shuangshan