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Researcher
- Soydan Ozcan
- Xianhui Zhao
- Adam Siekmann
- Alex Roschli
- Erin Webb
- Evin Carter
- Halil Tekinalp
- Hong Wang
- Huixin (anna) Jiang
- Hyeonsup Lim
- Jamieson Brechtl
- Jeremy Malmstead
- Kai Li
- Kashif Nawaz
- Kitty K Mccracken
- Mengdawn Cheng
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Sanjita Wasti
- Tyler Smith
- Vivek Sujan
- Xiaobing Liu

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.