Teaming for Interdisciplinary Research Pre-Seed Program
Materials-Manufacturing-Machine Learning Nexus (M3X)
Materials- Manufacturing-Machine Learning Nexus (M3X)
Our request for the Teaming for Interdisciplinary Research (TIR) Pre-Seed Program aims to provide early- stage developmental funding to facilitate the formation of faculty teams and collaboration around one critical research area centered around materials science, manufacturing technologies, and machine learning studies.
Our proposed research project, titled “Materials-Manufacturing-Machine Learning Nexus,” seeks to investigate the intricate interplay between materials science, manufacturing technologies, and machine learning. By leveraging machine learning algorithms to optimize material properties, enhance manufacturing efficiency, and streamline production processes, the research aims to drive innovation across diverse industries such as aerospace, healthcare, energy, and beyond. The interdisciplinary nature of this research project underscores its critical importance and global impact in addressing contemporary challenges and advancing technological frontiers.
The research team, comprising faculty members from the materials, manufacturing, and machine learning fields at UGA, will collaborate with renowned scholars from around the world. For example, Professors Kenan Song, Xianqiao Wang, Linbing Wang, and Yang Liu contribute their expertise in mechanics, materials, and computational modeling, respectively, enriching the team’s understanding of the intricate interplay between materials science and manufacturing processes. Professors Bjorn Birgisson and Ramaraja Ramasamy bring their expertise in civil engineering and infrastructure materials, enhancing the team’s capabilities in addressing challenges related to infrastructure sustainability and resilience. Professors Hongyue Sun and Ke Li contribute their expertise in sensor development and data analytics, enabling the team to leverage advanced sensing technologies and machine learning algorithms for optimizing manufacturing processes. Professors Yiping Zhao and Xianyan Chen bring their expertise in nanotechnology and advanced materials, offering innovative solutions for enhancing material properties and performance. Professors Elizabeth Brisbois and He Li complements the team with their expertise in biomedical engineering and biomaterials, expanding the scope of research to include applications in healthcare and biomedical engineering. Together, these professors form a dynamic and interdisciplinary team poised to make significant contributions to the field of materials manufacturing and machine learning.
This collaboration will provide a unique platform for engaging with esteemed international faculties and exploring the collective potential of materials science, manufacturing technologies, and machine learning to address global challenges. Through collaborative discussions and presentations, the research team aims to explore cutting-edge research and applications that leverage synergies across these domains. This collaborative endeavor holds promise for fostering meaningful international research collaborations and driving innovation in key areas such as materials design, manufacturing processes, and machine learning algorithms. Overall, the research project promises to be a catalyst for international collaboration and knowledge exchange, paving the way for groundbreaking discoveries and innovations at the intersection of materials science, manufacturing technologies, and machine learning
Team Lead
Kenan Song
ks62267@uga.edu
Engineering
Mechanical Engineering
Team Members
Xianqiao Wang
xqwang@uga.edu
Engineering
Mechanical Engineering
Linbing Wang
Linbing.Wang@uga.edu
Engineering
Mechanical Engineering
Yang Liu
liuy@uga.edu
Engineering
Biomedical Engineering
Bjorn Birgisson
Bjorn.Birgisson@uga.edu
Engineering
Civil Engineering
Ramaraja Ramasamy
rama@uga.edu
Engineering
Chemical Engineering
Xianyan Chen
xychen@uga.edu
Public Health
Epidemiology & Biostatistics
Hongyue Sun
HongyueSun@uga.edu
Engineering
Mechanical Engineering
Ke Li
lukeli@uga.edu
Engineering
Environmental Engineering
Yiping Zhao
zhaoy@uga.edu
Franklin
Physics
Elizabeth Brisbois
ejbrisbois@uga.edu
Engineering
Biomedical
He Li
He.Li3@uga.edu
Engineering
Civil Engineering