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Researcher
- Adam M Guss
- Kyle Kelley
- Rama K Vasudevan
- Ali Riza Ekti
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Josh Michener
- Kuntal De
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- Xiaohan Yang
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- An-Ping Li
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- Elizabeth Piersall
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- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Isabelle Snyder
- Isaiah Dishner
- Jamieson Brechtl
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Jewook Park
- Joanna Tannous
- John F Cahill
- Joseph Olatt
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Kunal Mondal
- Kyle Davis
- Liam Collins
- Liangyu Qian
- Mahim Mathur
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mingyan Li
- Mostak Mohammad
- Nandhini Ashok
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Omer Onar
- Ondrej Dyck
- Oscar Martinez
- Ozgur Alaca
- Paul Abraham
- Peter L Fuhr
- Saban Hus
- Sam Hollifield
- Serena Chen
- Steven Randolph
- Vincent Paquit
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz
- Yongtao Liu

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.

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.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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.