Aaron Stebner
Scholar

Aaron Stebner

Google Scholar ID: OpRg9IsAAAAJ
Professor, Georgia Institute of Technology
Additive ManufacturingMachine LearningSolid MechanicsDiffractionCrystallography
Citations & Impact
All-time
Citations
3,192
 
H-index
28
 
i10-index
51
 
Publications
20
 
Co-authors
0
 
Resume
Research Experience
  • The team is known for interdisciplinary work that bridges mechanical engineering, materials science, and data science. They also aim to incorporate the latest fundamental scientific discoveries into practical, usable tools for innovating engineering applications for companies and the government.
Background
  • Research interests include additive manufacturing, mechanics, and materials science. Particularly focused on shifting manufacturing paradigms with data informatics and machine learning; understanding process-structure-property relationships at all length scales; engineering better materials for diverse applications.