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Researcher
- Chris Tyler
- Adam M Guss
- Justin West
- Ritin Mathews
- Ali Riza Ekti
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- David Olvera Trejo
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- Josh Michener
- Kuntal De
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- Xiaohan Yang
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- Akash Jag Prasad
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- Greg Corson
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Isabelle Snyder
- Isaiah Dishner
- Jay D Huenemann
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- Joanna Tannous
- John F Cahill
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- Josh B Harbin
- Kunal Mondal
- Kyle Davis
- Liangyu Qian
- Mahim Mathur
- Mingyan Li
- Mostak Mohammad
- Nandhini Ashok
- Nils Stenvig
- Omer Onar
- Oscar Martinez
- Ozgur Alaca
- Paul Abraham
- Peter L Fuhr
- Sam Hollifield
- Serena Chen
- Tony L Schmitz
- Vincent Paquit
- Vladimir Orlyanchik
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

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.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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