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Researcher
- Srikanth Yoginath
- Andrzej Nycz
- James J Nutaro
- Kuntal De
- Pratishtha Shukla
- Sudip Seal
- Udaya C Kalluri
- Alex Walters
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- Biruk A Feyissa
- Bryan Lim
- Chris Masuo
- Clay Leach
- Debjani Pal
- Femi Omitaomu
- Haowen Xu
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Xiaohan Yang
- Yiyu Wang

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.

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

We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.