Arkansas MATTERs
Purpose of the Arkansas MATTERs Research Working Group
This Research Working Group (RWG) will establish an interdisciplinary hub focused on advanced materials engineering and manufacturing to solve pressing challenges in next-generation transportation and logistics. By integrating AI-driven design with experimental research, the group will generate critical seed data, develop novel material formulations, and optimize scalable manufacturing processes.
A core mission of the RWG is to train and retain a skilled STEM workforce for Arkansas by providing graduate and undergraduate students with hands-on, interdisciplinary research experience. Through exposure to industry-relevant challenges, the group aims to prepare career-ready engineers and position the team for competitive external funding from NSF, USDOT, and industry partners.
Members
Lei (Leah) Guo, Assistant Professor, Civil Engineering, leiguo@uark.edu
Webpage: https://www.myresearch.top/ggroup/
Andrew Braham, Professor, Civil Engineering, afbraham@uark.edu
Webpage: http://www.andrewbraham.com/
Poornachandra Vaddy, Postdoctoral Researcher, Civil Engineering, pvaddy@uark.edu
Keisha Walters, Professor, Department Head, Chemical Engineering, keishaw@uark.edu
Webpage: https://polynel.uark.edu/
Paul Millet, Associate Professor, Mechanical Engineering, pmillett@uark.edu
Webpage: https://millett.uark.edu/
Shengfan Zhang, Associate Professor, Industrial Engineering shengfan@uark.edu
Research Activities
- Interdisciplinary research on advanced materials for next-generation transportation infrastructure, with emphasis on durability, sustainability, and economic resilience.
- Experimental development and characterization of complex material systems, including asphalt emulsions and surfactant-engineered materials.
- Integration of AI and machine-learning tools to link material composition and manufacturing parameters with performance outcomes.
- Generation of seed datasets to support competitive external funding proposals to NSF, USDOT, and industry partners.
- Hands-on training of graduate and undergraduate students in materials characterization, data analytics, and interdisciplinary problem-solving.