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Researcher
- Adam M Guss
- Vincent Paquit
- Andrzej Nycz
- Anees Alnajjar
- Clay Leach
- Josh Michener
- Kuntal De
- Udaya C Kalluri
- Xiaohan Yang
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- Nageswara Rao
- Paul Abraham
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- Serena Chen
- Sheng Dai
- Vilmos Kertesz
- Vladimir Orlyanchik
- Yang Liu
- Zackary Snow

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

The technologies described provides for the upcycling of mixed plastics to muonic acid and 3-hydroxyacids.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.