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Researcher
- Adam M Guss
- Srikanth Yoginath
- Vincent Paquit
- Andrzej Nycz
- Chad Steed
- Clay Leach
- James J Nutaro
- Josh Michener
- Junghoon Chae
- Kuntal De
- Pratishtha Shukla
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- Travis Humble
- Udaya C Kalluri
- Xiaohan Yang
- Akash Jag Prasad
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- Ali Passian
- Austin Carroll
- Biruk A Feyissa
- Bryan Lim
- Calen Kimmell
- Canhai Lai
- Carrie Eckert
- Chris Masuo
- Chris Tyler
- Costas Tsouris
- Debjani Pal
- Gerald Tuskan
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay D Huenemann
- Jeff Foster
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Kyle Davis
- Liangyu Qian
- Nance Ericson
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Rangasayee Kannan
- Ryan Dehoff
- Samudra Dasgupta
- Serena Chen
- Tomas Grejtak
- Varisara Tansakul
- Vilmos Kertesz
- Vladimir Orlyanchik
- Yang Liu
- Yiyu Wang
- Zackary Snow

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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

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

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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.