Country of Origin: Brazil
Host Institution: Fraunhofer
Daniel completed his Bachelor in Electrical Engineering at Federal University of Campina Grande in 2018 and a Master's in Computer Engineering at University of Campinas in 2021. His areas of interest are signal processing, medical imaging, computer graphics, and visualization. In his bachelor's degree, he worked in the field of image processing on fingerprint recognition. In his Master's, he worked in the area of diffusion MRI and proposed a scalable rendering algorithm that maps high order tensors in glyphs.
Aspirations within projects
Daniel would like to put in to practice the knowledge in image processing, machine learning and geometry processing and apply them on the 3D printing and do cutting-edge research in the area. Additionally, he wants to gain the scientific and technical knowledge to be an independent researcher, and develop a network with the industry in the 3D printing area.
ESR13: Applications for material appearance reproduction technologies
- Philipp Urban (FHG)
- Seek and evaluate market segments that are best suited for appearance 3D printing, so that tangible results can be demonstrated in the project’s lifetime.
- Adjust/optimize existing technologies of reproducing appearance in multimaterial 3D printing to meet market demands and application needs
- Explore design and file format requirements for appearance 3D printing in new applications..